texonom/texonom-md · Datasets at Hugging Face

title stringlengths 1 544 ⌀	parent stringlengths 0 57 ⌀	created stringlengths 11 12 ⌀	editor stringclasses 1 value	creator stringclasses 4 values	edited stringlengths 11 12 ⌀	refs stringlengths 0 536 ⌀	text stringlengths 1 26k	id stringlengths 32 32
iptables	NAT Usages	Apr 24, 2020	Alan Jo	Alan Jo	Feb 19, 2023		[Netfilter](https://texonom.com/netfilter-4f3359c928954dabb95b2c511cca1c22) project에서 개발한 강력한 nat 툴 리눅스에 내장된 패킷 필터링 및 NAT를 설정할 수 있는 기능 패킷이 재설정으로 돌아오는것을 보고 RST(Reset, 재설정) 패킷을 버림 ```typesudo iptables -A INPUT -p tcp --tcp-flags RST RST --sport 443 -j DROP``` [iptables chain](https://texonom.com/iptables-chain-cdc59a49b2c04b458bb4429bc831efd5) > [GM Yankee](https://gmyankee.tistory.com/296)	8d3a1c6d5f8e44d2a0f5590f275c9d3e
IPVS	NAT Usages	Feb 19, 2023	Alan Jo	Alan Jo	Feb 19, 2023		레이어 4 LAN 스위칭이라고 하는 전송 레이어 로드 밸런싱을 [Netfilter](https://texonom.com/netfilter-4f3359c928954dabb95b2c511cca1c22) 커널 위에서 동작 그래서 [HAproxy](https://texonom.com/haproxy-560d03c2961e401e9e19d5ef6a215729) User Level Load Balancer보다 빠른 성능으로 동작 ipvsadm 도구를 통해 구성	e778a2c8cba949a3bf9cb903f43bbfae
iptables chain	iptables	null	null	null	null	null	### Chains - input - output - forward accept drop > [[Linux] 리눅스 방화벽 Iptables 개념정리](https://itragdoll.tistory.com/2)	cdc59a49b2c04b458bb4429bc831efd5
Ethernet Gateway	Ethernet Usage	Mar 20, 2021	Alan Jo	Alan Jo	Jun 28, 2021		- 게이트웨이(GateWay) : 프로토콜이 다른 네트워크를 연결시켜 주는 장치로 응용계층을 연결하여 데이터 형식의 변환 및 프로토콜의 변환등을 수행하며, 주로 LAN에서 다른 네트워크에 데이터를 보내거나 다른 네트워크로부터 데이터를 받아들이는 출입구 역할을 한다.	43b471af5d324228aba2e7dab32028c5
Ethernet Hub	Ethernet Usage	Apr 4, 2020	Alan Jo	Alan Jo	Jun 28, 2021		### 근거리의 다른 네트워크(즉,다른 허브)와의 연결 자체가 의미라 여러 경우로 쓰일 수 있는데 보통 네트워크 확장으로 쓰인다 이더넷 허브(ethernet hub)는 이더넷 네트워크에서 여러 대의 컴퓨터, 네트워크 장비를 연결하는 장치이다. 한 대의 허브를 중심으로 여러대의 컴퓨터와 네트워크 장비가 마치 별 모양으로 서로 연결되며, 같은 허브에 연결된 컴퓨터와 네트워크 장비는 모두 상호 간에 통신을 할 수 있게 된다 허브에 라우터나 3계층 스위치 등의 장비가 연결되어 있으면 이를 통해 더 높은 계층의 네트워크(WAN, MAN 등)과도 연결할 수 있다. 허브와 컴퓨터 장비간의 연결에는 보통 UTP 케이블과 RJ45 커넥터가 쓰인다. 허브로 연결된 네트워크에서는 한 컴퓨터에서 주고받는 데이터가 같은 허브에 연결된 다른 모든 컴퓨터에 전달(broadcast)된다. 이 데이터는 맨체스터 코드를 사용하여 인코딩된다. [ 맨체스터 코드](https://texonom.com/dd46bd93a625473c902756dd58a2040c) 따라서 연결된 컴퓨터의 개수가 많아질 수록 네트워크에서 충돌(collision)이 많아지고 속도가 느려진다. 이 문제를 해결하기 위해 최근에는 데이터가 필요한 컴퓨터에만 전송하는 이더넷 스위치를 많이 사용한다. - 허브(Hub) : 네트워크를 구성할 때 한꺼번에 여러 대의 컴퓨터를 연결하는 장치로, 각 회선을 통합적으로 관리한다.	bf684808beed40eabc0768c6009b2159
Ethernet Switch	Ethernet Usage	Mar 1, 2020	Alan Jo	Alan Jo	Jun 6, 2023		허브가 한 포트로 신호가 들어오면 같은 신호를 다른 모든 포트로 전달하는 것에 비해, 스위치는 신호를 필요로 하는 포트로만 신호를 전달 ### Ethernet Switch Notion \|Title\| \|:-:\| \|[Ethernet Switch Property](https://texonom.com/ethernet-switch-property-b1d420f970644b85923f4083a0172d49)\| \|[Switching fabric](https://texonom.com/switching-fabric-761ff1def8ee46c98850efddf8bea267)\| \|[Switch Line](https://texonom.com/switch-line-c8f8f926ed9c4f45ba05fb5e6dafeb0a)\| \|[Ethernet Switch ASIC](https://texonom.com/ethernet-switch-asic-a27706af2b6b430b9c98a1944fccb00c)\| ### Ethernet Switches \|Title\| \|:-:\| \|[L2 Switch](https://texonom.com/l2-switch-801bca43845f41ebb197ac7698dac7b2)\| \|[L3 Switch](https://texonom.com/l3-switch-fbe18a04db5448269906940920f69ba4)\| \|[L4 Switch](https://texonom.com/l4-switch-e79d66e1e895481a99ed65709fa9ff91)\| \|[L7 Switch](https://texonom.com/l7-switch-b92528e2ec9944419081e7370d53ab9a)\|	b8a902164a6f404ca39dd5c8c03f6e25
맨체스터 코드	Ethernet Hub	null	null	null	null	null		dd46bd93a625473c902756dd58a2040c
Ethernet Switch ASIC	Ethernet Switch Notion	Jun 6, 2023	Alan Jo	Alan Jo	Jun 6, 2023		### Ethernet Switch ASIC Products \|Title\| \|:-:\| \|[NVIDIA SPECTRUM](https://texonom.com/nvidia-spectrum-94874b7665f54739b7b80575f181ddbf)\|	a27706af2b6b430b9c98a1944fccb00c
Ethernet Switch Property	Ethernet Switch Notion	Jul 26, 2021	Alan Jo	Alan Jo	Jul 26, 2021		대부분의 허브는 충돌을 탐지하기 위해 반이중(half duplex)만을 지원하는 데 반해, 대부분의 이더넷 스위치는 전이중(full duplex)을 지원한다. 이더넷 스위치는 허브와 목적이 거의 동일하지만, 훨씬 향상된 네트워크 속도를 제공한다. 이는 각 컴퓨터에서 주고 받는 데이터가 허브처럼 다른 모든 컴퓨터에 전송되는 것이 아니라, 데이터를 필요로 하는 컴퓨터에만 전송되기 때문에 가능하다. 따라서 허브처럼 병목 현상이 쉽게 생기지 않는다. 또한 대부분의 이더넷 스위치는 전이중 통신방식(full duplex)을 지원하기 때문에 송신과 수신이 동시에 일어나는 경우 훨씬 향상된 속도를 제공한다. 스위치는 이 기능을 수행하기 위해 각 컴퓨터의 고유한 MAC 주소를 기억하고 있어야 하며, 이 주소를 통해 어떤 데이터가 어디로 전송되어야 하는지 판단해야 한다. 하지만 스위치를 이용하는 경우도 대량의 동보발송이나 스위치의 처리용량을 초과하는 데이터 흐름에 대해서는 취약할 수밖에 없으므로 커다란 네트워크의 경우는 [VLAN](https://ko.wikipedia.org/wiki/VLAN) 스위치나 라우터 등을 이용해 네트워크 자체를 분리해야 한다. 스위칭 허브(switching hub), 포트 스위칭 허브(port switching hub)라고도 불린다. 자기 gateway 랑 공적 ip, 같은 레벨 공유기에 포트포워딩된 내부망 볼수 있다 > [이더넷](https://ko.wikipedia.org/wiki/%EC%9D%B4%EB%8D%94%EB%84%B7)	b1d420f970644b85923f4083a0172d49
Switch Line	Ethernet Switch Notion	Jul 26, 2021	Alan Jo	Alan Jo	Jul 26, 2021	[IP Packet](https://texonom.com/ip-packet-b68420a6c1c54c2b8df252e0ba4c41a5) [HOL Blocking](https://texonom.com/hol-blocking-7c6fd05b40194d01bba34ab930564073)	Input buffered switch의 packet line clock당 cpu pipeline마냥 처리하는데 늦춰질 수 있다 > [[기타] HOL 블로킹(Head-Of-Line Blocking)](https://letitkang.tistory.com/79)	c8f8f926ed9c4f45ba05fb5e6dafeb0a
Switching fabric	Ethernet Switch Notion	Jul 26, 2021	Alan Jo	Alan Jo	Jul 26, 2021		패킷을 받는 input, input을 지난 후의 Switching fabric, Switching fabric을 지난 후의 output, 총 세 부분 > [[기타] HOL 블로킹(Head-Of-Line Blocking)](https://letitkang.tistory.com/79)	761ff1def8ee46c98850efddf8bea267
NVIDIA SPECTRUM	Ethernet Switch ASIC Products	Jun 6, 2023	Alan Jo	Alan Jo	Jun 6, 2023		> [https://www.zdnet.com/article/nvidia-unveils-new-kind-of-ethernet-for-ai-grace-hopper-superchip-in-full-production](https://www.zdnet.com/article/nvidia-unveils-new-kind-of-ethernet-for-ai-grace-hopper-superchip-in-full-production)	94874b7665f54739b7b80575f181ddbf
NVIDIA SPECTRUM-4	NVIDIA SPECTRUMs	Jun 6, 2023	Alan Jo	Alan Jo	Jun 6, 2023			9489ce1f30ba4b8293ba9812bda49e21
NVIDIA SPECTRUM-X	NVIDIA SPECTRUMs	Jun 6, 2023	Alan Jo	Alan Jo	Jun 6, 2023			e413926cd8154e3ea4b83b9e28a43fe7
L2 Switch	Ethernet Switches	Nov 1, 2020	Alan Jo	Alan Jo	Nov 10, 2021		## Bridge 동일한 네트워크 간 인접한 두 시스템(노드) 간 통신을 규정 물리 계층이 데이터를 보내고 받고 하는 기능을 한다면 데이터 링크 게층은 물리 게층이 잘 동작하고 있는지 확인하는 역할 네트워크 계층에서 데이터 패킷을 받아들여 MAC 주소와 각종 제어 정보를 추가 추가적인 정보를 가지고 있는 데이터 단위를 프레임(frame)이라 하고 물리 계층을 통해 전송 L2 스위치라는 장비는 통신하고 싶은 노드가 어떤 포트와 연결되어 있는지를 MAC 주소로 판단하고 패킷을 전송하는 장비 > [개발자를 위한 인프라 기초 총정리](https://futurecreator.github.io/2018/11/09/it-infrastructure-basics/index.html)	801bca43845f41ebb197ac7698dac7b2
L3 Switch	Ethernet Switches	Nov 1, 2020	Alan Jo	Alan Jo	Jul 26, 2021		### L3 스위치는 라우터와 동일한 기능을 하드웨어로 처리하는 장비 ### routing L3는 공유기랑 같은 기능 데이터 링크 계층이 MAC 주소를 기반으로 한다면 네트워크 계층은 IP 주소를 기반 데이터 계층이 노드 간 전달을 담당하는 반면 네트워크 계층은 송신지에서 최종 수신지까지 데이터를 안전하게 전달하는 것을 담당 패킷의 이동량이 많을 때, 전송분실에 재전송 요구 ### flow control, 오류제어 기능 ### routing table 관리 Static Route, Dynamic Route > [개발자를 위한 인프라 기초 총정리](https://futurecreator.github.io/2018/11/09/it-infrastructure-basics/index.html)	fbe18a04db5448269906940920f69ba4
L4 Switch	Ethernet Switches	Nov 1, 2020	Alan Jo	Alan Jo	Jul 26, 2021		L4는 로드밸런스 되는 스위치라 생각하면 되고. 낼 데이터의 용량, 속도, 목적지 등을 처리 . 세션 계층에서 보낸 메시지를 세그먼트로 나누고 각 세그먼트의 순서 번호를 기록해서 네트워크 계층으로 보내면 받는 쪽에서는 이를 다시 조립합니다. 이런 방식으로 전송 오류의 검출이나 재전송을 규정 > [개발자를 위한 인프라 기초 총정리](https://futurecreator.github.io/2018/11/09/it-infrastructure-basics/index.html)	e79d66e1e895481a99ed65709fa9ff91
L7 Switch	Ethernet Switches	Nov 1, 2020	Alan Jo	Alan Jo	Jul 26, 2021		L7 스위치는 OSI 의 Layer 7. 즉, 어플리케이션 레이어에서 동작하는 것으로 이를테면 이메일의 제목이나 문자열을 보고 내용을 파악한다거나 HTTP 의 URL, 또는 FTP의 파일명, 쿠키 정보, 특정 바이러스의 패턴 등을 분석해서 보안에 더욱 유리하고 더욱 정교한 로드 밸런싱이 가능 쉽게말해 L7 스위치라는 것은 마케팅용어 > [스위치ㅣL2, L3, L4, L7 스위치의 차이점](https://se-sik.tistory.com/74)	b92528e2ec9944419081e7370d53ab9a
AT & T	Communication Companies	Mar 4, 2020	null	null	null		### Subsidiary company \|Title\| \|:-:\| \|[WARNERMEDIA](https://texonom.com/warnermedia-5326d1f0def34772ad52699d55c170a4)\|	154a4ec6731646c08965c4775883a73f
Kuiper	Communication Companies	Oct 26, 2021	null	null	null	[Amazon](https://texonom.com/amazon-f1722d7da08e423eb63f149c707397f4) [StarLink](https://texonom.com/starlink-21c4fb79a9284d2ca33be33634e161e9)	광대역 인터넷 연결을 제공하기 위해 대규모 광대역 위성 인터넷 배치를 배포하기 위해 2019년에 설립된 Amazon의 자회사 > [Amazon is getting ready to launch a lot of broadband satellites](https://arstechnica.com/space/2023/07/amazon-is-getting-ready-to-launch-a-lot-of-broadband-satellites/) > [Amazon's broadband satellite venture Kuiper teams up with Verizon to expand 5G coverage](https://www.theverge.com/2021/10/26/22745637/amazon-kuiper-satellite-constellation-verizon-partnership-5g-cellular-backhaul) > [Amazon secures key FCC approval to deploy its Project Kuiper broadband satellites \| Engadget](https://www.engadget.com/amazon-secures-fcc-approval-project-kuiper-broadband-satellites-071817672.html)	5f23aa98317c41548c0d0d640d4d644d
Verizon	Communication Companies	Jun 28, 2021	null	null	null		> [Amazon's broadband satellite venture Kuiper teams up with Verizon to expand 5G coverage](https://www.theverge.com/2021/10/26/22745637/amazon-kuiper-satellite-constellation-verizon-partnership-5g-cellular-backhaul)	4b65046abbc74c539011fd0915e7262e
WARNERMEDIA	Subsidiary company	Mar 4, 2020	null	null	null	null	### Subsidiary company \|Title\| \|:-:\| \|[HBO](https://texonom.com/hbo-444ce663d18a448bb44a9a2f359b2d6e)\|	5326d1f0def34772ad52699d55c170a4
HBO	Subsidiary company	Mar 4, 2020	null	null	null	null	Home Box Office	444ce663d18a448bb44a9a2f359b2d6e
KIS Wire	Wire Industry	Nov 16, 2021	null	null	null		부산 건물 이쁜 [조병수](https://texonom.com/8f9bc6d01b874d279a38cbe7882523a1) 다리들 와이어 다 이걸로	7801926394a4456b8308f582e84b1fe3
LS	Wire Industry	Sep 17, 2023	Alan Jo	Alan Jo	Sep 17, 2023			9602bf759a3d4f10b5b37ba2d652f92a
taihan	Wire Industry	Nov 16, 2021	null	null	null		### 대한전선 미국 인프라 전선 수주 > [[기업소개] 대한전선](http://www.energy-news.co.kr/news/articleView.html?idxno=78309)	58fc8655dd84418298079db2ba9ac0a3
RX	Network Metric	null	null	null	null	null	### Receive Data	7475b60f78d3496498185f5d6082de03
TX	Network Metric	null	null	null	null	null	Transmit Data ### Network Data Sending	f832ff928bfd4bc4a4e47be3d71e31d6
bandwidth	Network Metrics	Mar 22, 2021	null	null	null	null		d19d7f79339745f8aaf0719c21917522
payload	Network Metrics	Jun 5, 2020	null	null	null	null	사용에 있어서 전송되는 데이터를 뜻한다 페이로드는 전송의 근본적인 목적이 되는 데이터의 일부분으로 그 데이터와 함께 전송되는 헤더와 메타데이터와 같은 데이터는 제외한다 > [페이로드 (컴퓨팅)](https://ko.wikipedia.org/wiki/%ED%8E%98%EC%9D%B4%EB%A1%9C%EB%93%9C_(%EC%BB%B4%ED%93%A8%ED%8C%85))	d721ffe8a09f46469cf50fa409a5c12b
Toxiproxy	Network Simulation Tools	Nov 3, 2021	Alan Jo	Alan Jo	Nov 3, 2021	[undefined](https://github.com/Shopify/toxiproxy) [Shopify](https://texonom.com/shopify-b227a8ce88db477394eaaa610b659ae1)		3cab87644b3c46ffbf0f415d96d48d1b
Aalyria	Lifi Companies	Mar 3, 2023	Alan Jo	Alan Jo	Mar 3, 2023		Google startup > [Aalyria \| Connectivity Everywhere](https://www.aalyria.com/)	30f9b99b59b14b908783f26db39602c3
Lifi Router	Lifi Companies	Jul 18, 2023	Alan Jo	Alan Jo	Jul 18, 2023		> [This lamp beams internet to your laptop](https://www.youtube.com/watch?v=OpYejIKbluA)	e91a77307a45480dba17825a0d7cea9c
**Transcelestial**	Lifi Companies	Mar 3, 2023	Alan Jo	Alan Jo	Mar 3, 2023		> [Wireless laser communications startup Transcelestial raises $10 mln](https://www.reuters.com/technology/wireless-laser-communications-startup-transcelestial-raises-10-mln-2023-02-16/)	45702dfeb4ae44a78e9881c160285686
FDM	Multiplexing Notion	Nov 19, 2020	Alan Jo	Alan Jo	Apr 24, 2023			166e73e54aaf46e1a99f730eaa91aabd
OFDMA	Multiplexing Notion	Apr 24, 2023	Alan Jo	Alan Jo	Apr 24, 2023	[Wifi 6](https://texonom.com/wifi-6-d4f7c726734143a59577e1e01b534dc3)	### Orthogonal frequency-division multiple access ![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fc071f1e8-7ec6-4957-b1d5-b4ff2ac51057%2FUntitled.png?table=block&id=b7c2465f-0ea6-4656-a3a7-72bb2a063042&cache=v2) ### Diagram > [[무선] OFDMA가 무엇입니까? \| 공식지원 \| ASUS 한국](https://www.asus.com/kr/support/FAQ/1042759/) > [Orthogonal frequency-division multiple access](https://en.wikipedia.org/wiki/Orthogonal_frequency-division_multiple_access) > [TTA정보통신용어사전](https://terms.tta.or.kr/dictionary/dictionaryView.do?word_seq=170493-5) ### Structure > [OFDM (OFDMA) 원리 및 특징 장단점](https://ttistoryy.tistory.com/15) > [와이파이 6과 OFDMA의 결합, 새로운 무선 세계 열린다](https://www.itworld.co.kr/news/114759)	5ebbe86013b740e8b195c7b21be4ce0b
TDM	Multiplexing Notion	Nov 19, 2020	Alan Jo	Alan Jo	Apr 24, 2023			ff1537b45629436689ed3cf283f0e438
WDM	Multiplexing Notion	Nov 19, 2020	Alan Jo	Alan Jo	Apr 24, 2023			b2b3b4d5361a4be49c83f9c8f6b80d47
Meta Engineering	Engineering Notion	Jun 21, 2022	Alan Jo	Alan Jo	Jan 17, 2023	[Meta Programming](https://texonom.com/meta-programming-68f331a5bd80487590c9420c5768a3de) [Software Architecture](https://texonom.com/software-architecture-5d3c80f6ffe44d60b10c870903c2b703)	Over Engineering, Under Engineering 둘다 실제 [User Experience](https://texonom.com/user-experience-91eb83311a204da2bfbe1bcce73f9cff) 에 대한 이해의 부족으로 일어남 ### Meta Engineering Notion \|Title\| \|:-:\| \|[Over Engineering](https://texonom.com/over-engineering-c0f0b2a18f6d420e86b3a392013e2549)\| \|[Under Engineering](https://texonom.com/under-engineering-28df81de6f8240d3ac489f9fcd132ada)\| \|[Chaos Engineering](https://texonom.com/chaos-engineering-d1d24c4d477f41c1a7c0cd3d750bb6e3)\|	4838916d47f840f3b746587aede218e9
Strategic Design	Engineering Notion	Mar 15, 2020	Alan Jo	Alan Jo	Jan 17, 2023		### Context 에 대해 생각하고 이를 기준으로 디자인을 하는 것 ### Strategic Designs \|Title\| \|:-:\| \|[Object Oriented Design](https://texonom.com/object-oriented-design-f4e0cb05df1a4b4e9df68d3f9e366af9)\| \|[Domain Driven Design](https://texonom.com/domain-driven-design-bd76470e20c946ed85f8ee9a94f8536f)\| \|[BDD](https://texonom.com/bdd-860946f6dbd24647a32ad718c2a44e28)\| \|[ATDD](https://texonom.com/atdd-82ff40f16cfd425b92af2d238737f088)\| \|[TDD](https://texonom.com/tdd-20a235a47b584f5db1938055a2d1672d)\| \|[Hype Driven Development](https://texonom.com/hype-driven-development-4405fd69e36f46739b033b930fdf7492)\| \|[Data Oriented Design](https://texonom.com/data-oriented-design-81b2f7bd59ce492da1c535750da339c5)\| > [Domain Driven Design 이란 무엇인가?](https://frontalnh.github.io/2018/05/17/z_domain-driven-design/)	489afc6294de4b31b51282486915e017
Chaos Engineering	Meta Engineering Notion	Apr 1, 2022	Alan Jo	Alan Jo	Jan 17, 2023		### Chaos Engineering Tools \|Title\| \|:-:\| \|[Chaos Mesh](https://texonom.com/chaos-mesh-caa49e30d5e3442d878884a1e01974a4)\|	d1d24c4d477f41c1a7c0cd3d750bb6e3
Over Engineering	Meta Engineering Notion	Jun 21, 2022	Alan Jo	Alan Jo	Jun 21, 2022	[eXtrem Programming](https://texonom.com/extrem-programming-296a1b480336496aa668468de35799b8) [MVP](https://texonom.com/mvp-2bef5452200846699e96be0dc580b186)	- 유연한 코드를 짜는 데에 관심을 두고 예측하지만, 필요 이상으로 과도한 예측을 함 - 현재 꼭 필요한 기능들에 대해서는 구현이 완벽하지 않을 수도 > [Over & Under Engineering](https://velog.io/@dvmflstm/Over-Under-Engineering) > [오버엔지니어링 하지마라](https://m-falcon.tistory.com/496) > [오버 엔지니어링과 기술 부채](https://seokjun.kim/over-engineering-vs-techincal-debt/)	c0f0b2a18f6d420e86b3a392013e2549
Under Engineering	Meta Engineering Notion	Jun 21, 2022	Alan Jo	Alan Jo	Jun 21, 2022	[Technical Debt](https://texonom.com/technical-debt-00b0ec55cb144de7bcf1f592a5882f39)	- 낮은 코드 퀄리티 (어려운 테스트, 추적하기 어려운 버그, 낮은 가독성) - 협업에 어렵다 - 동작하는 것에서 멈추고 코드 퀄리티를 적절하게 두지 않음 > [오버 엔지니어링과 기술 부채](https://seokjun.kim/over-engineering-vs-techincal-debt/) > [Over & Under Engineering](https://velog.io/@dvmflstm/Over-Under-Engineering)	28df81de6f8240d3ac489f9fcd132ada
Chaos Mesh	Chaos Engineering Tools	Nov 19, 2020	Alan Jo	Alan Jo	Jan 17, 2023		[Chaos Operator](https://texonom.com/chaos-operator-b26d4700ca3b48b3b5953959dc022792) [Chaos Dashboard](https://texonom.com/chaos-dashboard-05441b9f96d14beda909c5cedd3279d4)	caa49e30d5e3442d878884a1e01974a4
Chaos Dashboard	Chaos Mesh	null	null	null	null	null	Web UI for managing, designing, monitoring Chaos Experiments	05441b9f96d14beda909c5cedd3279d4
Chaos Operator	Chaos Mesh	null	null	null	null	null	chaos orchestration	b26d4700ca3b48b3b5953959dc022792
ATDD	Strategic Designs	Nov 16, 2019	Alan Jo	Alan Jo	Jan 17, 2023		![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fdfe3d757-79c9-4d9b-857f-881a3bb20728%2FUntitled.png?table=block&id=2fa728f3-e61d-467d-9896-03736c6195a9&cache=v2)	82ff40f16cfd425b92af2d238737f088
BDD	Strategic Designs	Mar 15, 2020	Alan Jo	Alan Jo	May 5, 2021		### 테스트 코드 작성 패턴 ### Patterns \|Title\| \|:-:\| \|[Describe - Context - It](https://texonom.com/describe--context--it-69f5b14295cc423e93de83bc6559f7ef)\| \|[Given - When - Then](https://texonom.com/given--when--then-4fd86d56534040ed8be41ea448f4a4a0)\| > [BDD로 테스트에 중독되어 보자](https://helloworld.kurly.com/blog/try-bdd/) > [JUnit5로 계층 구조의 테스트 코드 작성하기](https://johngrib.github.io/wiki/junit5-nested/)	860946f6dbd24647a32ad718c2a44e28
Data Oriented Design	Strategic Designs	Jan 16, 2022	Alan Jo	Alan Jo	Apr 3, 2022		## DOD 현재 컴퓨터 설계를 기준으로 상태 변화를 낮추려고 시도 로직의 상태를 다루려는 함수형과 달리 컴퓨터 자체에서의 상태를 줄이려 시도. 캐시 히트를 높혀서 성능향상을 가져옴 > [객체지향 시스템과 패러다임 그리고 철학](https://black7375.tistory.com/86)	81b2f7bd59ce492da1c535750da339c5
Domain Driven Design	Strategic Designs	Jan 18, 2020	Alan Jo	Alan Jo	Jan 16, 2022	[Domain](https://texonom.com/domain-8ae15be2fe6941deb76c66bc539b030a)	## Loose Coupling, High Cohesion 각 도메인이 연결성이 적고 높은 정도로 연관되어 보다 가벼운 설계를 위해 탄생 전통적 OOP와 달리 도메인과 맥락에 따라 다르게 설계를 함(그림이론-용도의미론과 비슷), 서브도메인의 의존성 주입을 하는 AOP를 사용하면 구현이 편해짐 ### DDD Notion \|Title\| \|:-:\| \|[domain login](https://texonom.com/domain-login-45d4d23254b548c3b7acd321ca8ec222)\| \|[bounded context](https://texonom.com/bounded-context-8b65b57ec37b452da249d64389ceea97)\| \|[domain model](https://texonom.com/domain-model-319b362dac7047ed819b75e67c0b8f85)\| \|[Context Map](https://texonom.com/context-map-b837167f00814f6f803587f21c76fe3c)\| > [객체지향 시스템과 패러다임 그리고 철학](https://black7375.tistory.com/86) > [Domain Driven Design 이란 무엇인가?](https://frontalnh.github.io/2018/05/17/z_domain-driven-design/)	bd76470e20c946ed85f8ee9a94f8536f
Hype Driven Development	Strategic Designs	Dec 1, 2021	Alan Jo	Alan Jo	Dec 1, 2021		신기술 도입에 설레발 주도 개발	4405fd69e36f46739b033b930fdf7492
Object Oriented Design	Strategic Designs	Mar 9, 2021	Alan Jo	Alan Jo	May 5, 2021		객체를 기준으로 디자인을 진행	f4e0cb05df1a4b4e9df68d3f9e366af9
TDD	Strategic Designs	Nov 16, 2019	Alan Jo	Alan Jo	Dec 1, 2021		기능 추가시 사례분류한 것 모든 사례 테스트가 작동해야 기능 변경, 제거, 추가시 모든 사례분류가 작동가능해야 ### TDD Notion \|Title\| \|:-:\| \|[classicists](https://texonom.com/classicists-9e97f1f815174fe4ba6d2d730cffb9f9)\| \|[Mockist](https://texonom.com/mockist-cb416cfb821e444f88364a261c9afeda)\| \|[SUT](https://texonom.com/sut-7f7544f112ab4236b15d56593349fd88)\| \|[collaborator](https://texonom.com/collaborator-795cd3a4e34b450d8d49a187c672416d)\| \|[test double](https://texonom.com/test-double-0747b46fef0a4364b926c84743cce71f)\| [상태검증](https://texonom.com/e7f497b8b6ee41d08028ca7e2ccd36ef) [행위검증](https://texonom.com/326b8bc24868482893bf8fde6d016b37) > [https://justhackem.wordpress.com/2018/01/16/is-that-integration-test-really/](https://justhackem.wordpress.com/2018/01/16/is-that-integration-test-really/) > [Mockist vs. Classicists TDD](https://www.slideshare.net/davidvoelkel/mockist-vs-classicists-tdd-57218553) > [[tdd] 상태검증과 행위검증, stub과 mock 차이](https://joont92.github.io/tdd/%EC%83%81%ED%83%9C%EA%B2%80%EC%A6%9D%EA%B3%BC-%ED%96%89%EC%9C%84%EA%B2%80%EC%A6%9D-stub%EA%B3%BC-mock-%EC%B0%A8%EC%9D%B4/)	20a235a47b584f5db1938055a2d1672d
Describe - Context - It	Patterns	Mar 15, 2020	null	null	null	null	이 패턴은 코드의 행동을 설명하는 테스트 코드를 작성한다 ### \|Title\| \|:-:\| \|[Describe](https://texonom.com/describe-cf86e2d38e1a4f64b9047b5e2eb37ccb)\| \|[Context](https://texonom.com/context-47eb3cee669d4380b6363f97ab88ce0d)\| \|[It](https://texonom.com/it-fa9508181fa34853ab4add7c2396bb5e)\| Tool gallary jpa ruby go - ginkgo php - kahan kotlin - spec	69f5b14295cc423e93de83bc6559f7ef
Given - When - Then	Patterns	Mar 15, 2020	null	null	null	null		4fd86d56534040ed8be41ea448f4a4a0
Context		null	null	null	null	null		47eb3cee669d4380b6363f97ab88ce0d
Describe		null	null	null	null	null		cf86e2d38e1a4f64b9047b5e2eb37ccb
It		null	null	null	null	null		fa9508181fa34853ab4add7c2396bb5e
bounded context	DDD Notion	Mar 9, 2021	null	null	null	null	subdomain의 문맥적 상황 특정 모델이 정의되고 적용될 수 있는 영역	8b65b57ec37b452da249d64389ceea97
Context Map	DDD Notion	Mar 9, 2021	null	null	null	null	bounded context들 사이의 관계	b837167f00814f6f803587f21c76fe3c
domain login	DDD Notion	Mar 9, 2021	null	null	null	null		45d4d23254b548c3b7acd321ca8ec222
domain model	DDD Notion	Mar 9, 2021	null	null	null	null	subdomain의 구체적인 형상 구체적인 설계	319b362dac7047ed819b75e67c0b8f85
행위검증	TDD	null	null	null	null	null	SUT가 협력객체의 특정 메서드가 호출되었지 등의 행위를 검사함으로써 올바로 동작했는지 판단	326b8bc24868482893bf8fde6d016b37
상태검증	TDD	null	null	null	null	null	메서드가 수행된 후 SUT나 협력객체의 상태를 살펴봄으로써 올바로 동작했는지를 판단	e7f497b8b6ee41d08028ca7e2ccd36ef
classicists	TDD Notion	Nov 16, 2019	null	null	null	null	가능하면 항상 진짜 객체를 사용 진짜 객체를 사용하기 만만치 않으면 더블을 사용한다 - 그리고 항상 상태검증을 사용하려고	9e97f1f815174fe4ba6d2d730cffb9f9
collaborator	TDD Notion	Mar 9, 2021	null	null	null	null	객체(secondary objects)	795cd3a4e34b450d8d49a187c672416d
Mockist	TDD Notion	Nov 16, 2019	null	null	null	null	관심있는 행위를 가진 모든 객체에 모의객체를 사용 그리고 항상 행위검증을 사용지향 > [그게 통합 테스트라고? 정말?](https://justhackem.wordpress.com/2018/01/16/is-that-integration-test-really/)	cb416cfb821e444f88364a261c9afeda
SUT	TDD Notion	Mar 9, 2021	null	null	null	null	System Under Test : primary object	7f7544f112ab4236b15d56593349fd88
test double	TDD Notion	Mar 9, 2021	null	null	null	null	테스트 대역 테스팅을 목적으로 진짜 객체대신 사용되는 모든 종류의 위장 객체 Dummy Fake Object [TDD Stub](https://texonom.com/tdd-stub-f23e82fa666d437ab5c66a7cfedc83d3) [TDD Mock](https://texonom.com/tdd-mock-7b64e87741db443f90db9767f9331328) [TDD Spy](https://texonom.com/tdd-spy-a20ff4d35f3641dfa3bb6a4df0ee5e09) > [[tdd] 상태검증과 행위검증, stub과 mock 차이](https://joont92.github.io/tdd/%EC%83%81%ED%83%9C%EA%B2%80%EC%A6%9D%EA%B3%BC-%ED%96%89%EC%9C%84%EA%B2%80%EC%A6%9D-stub%EA%B3%BC-mock-%EC%B0%A8%EC%9D%B4/) > [Sinon.js의 spy, stub, mock 의 Best Practice](https://tiffany.devpools.kr/2018/03/19/sinon/)	0747b46fef0a4364b926c84743cce71f
TDD Mock	test double	null	null	null	null	null	- 다른 테스트더블과는 다르게 행위검증 사용을 추구한다 - 행위를 기록하는 식의 로직	7b64e87741db443f90db9767f9331328
TDD Spy	test double	null	null	null	null	null		a20ff4d35f3641dfa3bb6a4df0ee5e09
TDD Stub	test double	null	null	null	null	null	- 호출이되면 미리 준비된 답변으로 응답하는 것 - 테스트시에 프로그램된 것 외에는 응답하지 않는다 - 협력객체의 특정 부분이 테스트하기 힘들 경우 stub을 사용하면 수월하게 테스트할 수 있다 - 일반적으로 우리가 mock으로 잘못 알고있다	f23e82fa666d437ab5c66a7cfedc83d3
Civil Engineering	Engineering Objects	Jun 2, 2022	Alan Jo	Alan Jo	Jan 17, 2023		### Civil Engineering Notion \|Title\| \|:-:\| \|[Civil Engineering Field](https://texonom.com/civil-engineering-field-be4c1e09dd24425288e8f3fa1d405a2b)\|	669479d5f2904e83997a43ec727a3a02
Data Engineering	Engineering Objects	May 31, 2021	Alan Jo	Alan Jo	Jun 25, 2023	[Data Science](https://texonom.com/data-science-51578659f2ea4b549e1a79bad6a4a389) [Data](https://texonom.com/data-166d4dc8d157453d9e22512ca42f4715) [Workflow Management](https://texonom.com/workflow-management-79efe771bcee42498f04666b84f32d38)	### Data Engineering Notion \|Title\| \|:-:\| \|[Digitalization](https://texonom.com/digitalization-38b84001c94445c792a40bd663454bb6)\| \|[Data Processing](https://texonom.com/data-processing-d1b576ef34304e0fa6325db709860e0b)\| \|[Artificial Intelligence](https://texonom.com/artificial-intelligence-9ffdade545e447dd97adefe1437277cd)\| ### Data Engineering Usages \|Title\| \|:-:\| \|[Data ID](https://texonom.com/data-id-bbd798ea446c45fa9c81f62da8a2b49e)\| \|[DataBase](https://texonom.com/database-91e235d4592a43289dd14b01fccd1bc2)\| \|[Data Diffing](https://texonom.com/data-diffing-e73284fe4a33486dafe03e150699c0da)\| \|[Aggregation](https://texonom.com/aggregation-9ba2b39c3ba24c79b6527176cfc7fec8)\|	84eb521959df4f90ae3647e7222c3771
Electrical Engineering	Engineering Objects	Jan 17, 2023	Alan Jo	Alan Jo	Jan 17, 2023		## Electronics ### Electrical Engineering Notion \|Title\| \|:-:\| \|[Electrical Engineering Field](https://texonom.com/electrical-engineering-field-769102b7cc6f4daca1da19f02d7c3b18)\| > [Low Power Multimedia Reconfigurable Platforms - ppt download](https://slidesplayer.org/slide/13393314/)	843d7bffc1fc4986aab63dd955f2f4bc
Environmental Engineering	Engineering Objects	Mar 9, 2021	Alan Jo	Alan Jo	Sep 1, 2023		### 지속 가능한 에너지가 지구와 인류에 좋기 때문 그거 말고는 없다 생명체를 생각하는 환경운동가라면 생명체들이 여러 행성에 거주하도록 만드는 게 중요하다 ### Environmental Engineering Techs \|Title\| \|:-:\| \|[Carbon Capture](https://texonom.com/carbon-capture-e6d82eb6d922442cbdf78fe9250f62dc)\| \|[green hydrogen](https://texonom.com/green-hydrogen-6289c01e38e543c09ff492af61851283)\| \|[Sanitary Engineering](https://texonom.com/sanitary-engineering-7c6f5ea3b46048788b1b21b075c82e0d)\|	79156979720d4dad87dfe6090072ad72
Hardware Engineering	Engineering Objects	May 23, 2021	Alan Jo	Alan Jo	Mar 28, 2023	[Manufacture Industry](https://texonom.com/manufacture-industry-64a880a27a394fd58d608a6dc5ab694d) [Software Engineering](https://texonom.com/software-engineering-1cb03171ca394483a79fba8797b55661) [Formfactor Industry](https://texonom.com/formfactor-industry-3804ee925171461987796f81da19da61)	## Hardware never be free ### Hardware Engineering Objects \|Title\| \|:-:\| \|[Architecture Engineering](https://texonom.com/architecture-engineering-51b3c2360a0a421ca28c8fbc7f473f4d)\| \|[Quantum Engineering](https://texonom.com/quantum-engineering-831222b701944dfe818978b84dc794ae)\| \|[Robotics](https://texonom.com/robotics-1c93b96b04a8423688234837d30ff35e)\| \|[Battery Engineering](https://texonom.com/battery-engineering-3fa3520130b64dc0854b3f3aad5a2dcb)\| \|[Signal engineering](https://texonom.com/signal-engineering-fab43bd4e1644e218e39c49ad5d5a2c2)\| \|[Thermal engineering](https://texonom.com/thermal-engineering-7887f9ce3a934abab37142bd266f42f9)\| \|[Embedded Engineering](https://texonom.com/embedded-engineering-1caaa9ac6df9425db23b79e2bdbe296c)\| \|[Sensor Engineering](https://texonom.com/sensor-engineering-2ed1fbf70de34b1c9f65d50375fc2430)\| \|[Thermal Engineering](https://texonom.com/thermal-engineering-593a639a2a9144e79594af2e1440d9ad)\| \|[Material Engineering](https://texonom.com/material-engineering-cf748e5127f6414ab5de136b5eb29707)\| \|[Computer Architecture](https://texonom.com/computer-architecture-a859f0d62c1a49daab60e7e202332f6e)\| \|[IoT](https://texonom.com/iot-04738af396d145a986f5013896f3be49)\| \|[Cyber Physical System](https://texonom.com/cyber-physical-system-ca516e7c06ae47d289346daa19b7fcff)\| \|[Geo Engineering](https://texonom.com/geo-engineering-d6acb0ddf49e400f8a4117a52a6c8f6e)\| ### Hardware Objects \|Title\| \|:-:\| \|[settopbox](https://texonom.com/settopbox-d3988ab23aa94c2c8c3df907429311d3)\| \|[Selector](https://texonom.com/selector-c461fc5dca12404b9e9e21ffd60fc197)\| \|[Hardware Interface](https://texonom.com/hardware-interface-b32d27536187417ebca55628cd8ea492)\| \|[HCI](https://texonom.com/hci-dd1604d86d104af38a94c2dc48bd7a1f)\| \|[TPM](https://texonom.com/tpm-48491d01721149b8b57712e141081071)\| \|[TWS](https://texonom.com/tws-a113809a99a64dceb324511719111707)\| \|[Data Transmission](https://texonom.com/data-transmission-fa0d2e118c9e493fa80769dcb90d8bfd)\| \|[Data Storage](https://texonom.com/data-storage-6dd6012a208345b2a54a7c892dd78313)\| \|[Computer](https://texonom.com/computer-aac77afeb1874c21b05c833a53c5c0c3)\| \|[Semiconductor](https://texonom.com/semiconductor-d3947c74c1fd43a4a7004cdf5e1251d7)\| \|[Transiter](https://texonom.com/transiter-7e8d85878ce8450a9d25d067d957b03e)\| \|[Telephone](https://texonom.com/telephone-e1eec7fdfc454a63a1facd8baccb02ea)\| \|[Gyroscope](https://texonom.com/gyroscope-ebef02931f5a4aa0a349a79fd05d1edb)\| \|[Engine](https://texonom.com/engine-8d14437209844b2f88583370039654f5)\| \|[Machine](https://texonom.com/machine-4fc9df5f3cec45faa9cee285c3cc6fbf)\| \|[Machining](https://texonom.com/machining-4f29806fdada489fa1e69df49a3a4cdd)\|	0ad66a0736d6487d9c9e2b304855b25c
Service Engineering	Engineering Objects	Mar 17, 2022	Alan Jo	Alan Jo	Jan 17, 2023		### Service Engineering Notion \|Title\| \|:-:\| \|[Software Service](https://texonom.com/software-service-534e4c4209d940539ed3c7ad5df7dac1)\| \|[Service Planning](https://texonom.com/service-planning-93d099c491eb4b6c88ced7e1a0084cd0)\| \|[Service Management](https://texonom.com/service-management-69f0f726352645ea85222b683794a6e0)\| \|[Side Project](https://texonom.com/side-project-5d1d19faeaee4f16823972545a0a90e6)\| \|[Service-level agreement](https://texonom.com/service-level-agreement-ef23b62d86b640049f921b8df176f539)\|	c121dac6285f4d30a319d90630eae656
Software Engineering	Engineering Objects	May 23, 2021	Alan Jo	Alan Jo	May 11, 2023	[Software Industry](https://texonom.com/software-industry-6547c7f3960d4c129cb234c540194ef6) [Engineer](https://texonom.com/engineer-4c83bc156ded44d69c94acd7f76c708d) [Hardware Engineering](https://texonom.com/hardware-engineering-0ad66a0736d6487d9c9e2b304855b25c) [Data Engineering](https://texonom.com/data-engineering-84eb521959df4f90ae3647e7222c3771)	### 지식을 충분히 단순화하지 못해서 쉽게 변화시키지 못하는 몸을 가지면, 고일 수 밖에 없다 ### Software Engineering Notion \|Title\| \|:-:\| \|[Programming](https://texonom.com/programming-b65cb6e064f64deeaa9c6d9665d10aad)\| \|[Software Architecture](https://texonom.com/software-architecture-5d3c80f6ffe44d60b10c870903c2b703)\| \|[SRE](https://texonom.com/sre-d8bf9cf6772d4fffaefacf7f359ceba0)\| ### Software Engineering Usages \|Title\| \|:-:\| \|[Software Object](https://texonom.com/software-object-316acbbf2009456f971b22d7db42c497)\| \|[Software Accessibility](https://texonom.com/software-accessibility-ba88b1f44d8749b2bfab3042ae30a42b)\| \|[Software Packing](https://texonom.com/software-packing-ccf29a07d81d4b968acbf998e87da3ad)\| \|[Software Performance](https://texonom.com/software-performance-c9b0f9245c214ded825dc7dcbcfc54a2)\| \|[Software Feature](https://texonom.com/software-feature-9179b7baab6c4df7b4bf8feddbaf0bb5)\| \|[Software Stack](https://texonom.com/software-stack-0ede62560ae04258af13fed809b80b8c)\|	1cb03171ca394483a79fba8797b55661
Civil Engineering Field	Civil Engineering Notion	Jun 2, 2022	Alan Jo	Alan Jo	Jun 2, 2022		### Civil Engineering Fields \|Title\| \|:-:\| \|[Transportation Engineering](https://texonom.com/transportation-engineering-28869828949a4d0a9e47e293b6d32df8)\|	be4c1e09dd24425288e8f3fa1d405a2b
Transportation Engineering	Civil Engineering Fields	Jun 2, 2022	Alan Jo	Alan Jo	Jun 2, 2022	[Transit Industry](https://texonom.com/transit-industry-dd37d5da410f4490beeadc210f1f3e49)	### Traffic Engineering ### Transportation Engineering Notion \|Title\| \|:-:\|	28869828949a4d0a9e47e293b6d32df8
Artificial Intelligence	Data Engineering Notion	Nov 16, 2019	Alan Jo	Alan Jo	Jul 4, 2023	[Data Science](https://texonom.com/data-science-51578659f2ea4b549e1a79bad6a4a389)	### Meta-algorithm that complete themselves through data compression widely-defined AI. So AI is hard to distinguish between complex algorithms In practice, AI is an overlay to technology. It abstract technology and make them easy to use. ### AI Notion \|Title\| \|:-:\| \|[Machine Learning](https://texonom.com/machine-learning-96195e7f57d74bcf9e8719a53394e421)\| \|[AI Term](https://texonom.com/ai-term-efdba1a724a44b53a7901c1848c35c20)\| \|[AI Model](https://texonom.com/ai-model-0788b8b1a3ec4911a5fd242ff3289991)\| \|[AI Problem](https://texonom.com/ai-problem-75589b92c7d546e488b4766e8edfa47d)\| ### AI Usages \|Title\| \|:-:\| \|[AI Development](https://texonom.com/ai-development-94a4b3b469b5439aaa03a669f894e3c8)\| \|[AI Object](https://texonom.com/ai-object-e69c83e69fd34103a83c1341b65158be)\| \|[AI Industry](https://texonom.com/ai-industry-d8709bd0498145e3a66af6da3f963fa7)\| \|[AI Data](https://texonom.com/ai-data-dcd9611d8a5647ba95e7bc63a7e6db1f)\| \|[AI Protocol](https://texonom.com/ai-protocol-be3148d3c1b24b90a4f51020fde30bd6)\| ### How AI is Understanding the World ![https://xcorr.net/2022/05/30/large-language-models-will-change-science](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F8a6f33a2-cc99-45ed-a1ea-4f2daf714290%2FUntitled.png?table=block&id=3259c610-e67f-4315-b380-29a2886e347f&cache=v2) ### AI Vision > [Transcript of "What happens when our computers get smarter than we are?"](https://www.ted.com/talks/nick_bostrom_what_happens_when_our_computers_get_smarter_than_we_are/transcript?language=ko) > [왜 최근에 빌 게이츠, 일론 머스크, 스티븐 호킹 등 많은 유명인들이 인공지능을 경계하라고 호소하는가?](https://coolspeed.wordpress.com/2016/01/03/the_ai_revolution_1_korean/?fbclid=IwAR02_gvDnUn5M31RLdauziR2tRX-eXYa-KN_e4mB4O6LWhVyes_2fZbNuW4) > [Layoffs push down scores on Glassdoor: this is how companies respond](https://blog.pragmaticengineer.com/layoffs-push-down-scores-on-glassdoor)	9ffdade545e447dd97adefe1437277cd
Data Processing	Data Engineering Notion	May 11, 2023	Alan Jo	Alan Jo	Jun 2, 2023	[Digitalization](https://texonom.com/digitalization-38b84001c94445c792a40bd663454bb6) [Stream Processing](https://texonom.com/stream-processing-1fc4a9c49c144806922512b26c0d8231)	- Zero centering ([Bias](https://texonom.com/bias-ba063cd622a54deb8a677e8fb87dfdc8) ) - Normalization - Data Augmentation ### Data Processing Methods \|Title\| \|:-:\| \|[Signal Processing](https://texonom.com/signal-processing-c5813c5a16644a3fa256468aa4f8eda8)\| \|[Computer Vision](https://texonom.com/computer-vision-d2f788d268fa40da8311a2d81094a2d1)\| \|[Computer Graphics](https://texonom.com/computer-graphics-1bd0b5acf2cf443c871843b652747936)\| \|[Video Processing](https://texonom.com/video-processing-6a90642de00d46ef86da1ed7ce6ff847)\| \|[Image Processing](https://texonom.com/image-processing-d5c5127d67704392abafeb90961f468e)\| \|[Big Data](https://texonom.com/big-data-236ec9f0ed844f4d8a5ca3236dfa442c)\| ### Data Processing Usages \|Title\| \|:-:\| \|[OLAP](https://texonom.com/olap-9c6d537babc8469da668185143ae0076)\| \|[ETL](https://texonom.com/etl-7568cb0a7c184abfb1bcec69828d1643)\| \|[ELT](https://texonom.com/elt-1b6c98bfcdf5485db0ae17ceff340f3d)\|	d1b576ef34304e0fa6325db709860e0b
Digitalization	Data Engineering Notion	May 11, 2023	Alan Jo	Alan Jo	May 11, 2023		### Digitalization Phases \|Title\| \|:-:\| \|[Data Sampling](https://texonom.com/data-sampling-306f8190c55c47578e818b4b303bc8fd)\| \|[Data Quantization](https://texonom.com/data-quantization-77eb7920497d4f40aee6a2603b98b561)\|	38b84001c94445c792a40bd663454bb6
AI Model	AI Notion	Mar 1, 2021	Alan Jo	Alan Jo	Jun 4, 2023		### AI Model Notion \|Title\| \|:-:\| \|[Model Generalization](https://texonom.com/model-generalization-0a2de5c4578c47dd9a5dc1b83fbaf72b)\| \|[Model Regularization](https://texonom.com/model-regularization-33936588cdef4041a94d0846c43ada98)\| \|[Model Optimization](https://texonom.com/model-optimization-534986019c1e4460bc6c6a7456b1c989)\| \|[AI Model Deployment](https://texonom.com/ai-model-deployment-5ec65cde28d845ea84162fcf8cf3dd7d)\|	0788b8b1a3ec4911a5fd242ff3289991
AI Problem	AI Notion	Jun 25, 2023	Alan Jo	Alan Jo	Jul 28, 2023		### AI Problems \|Title\| \|:-:\| \|[AI Alignment](https://texonom.com/ai-alignment-f676f1a29ffd45e19b3d170afa4f2244)\| \|[Catastrophic interference](https://texonom.com/catastrophic-interference-a23bbe7dc53f4275bf33585c72bdb7c2)\| \|[Winograd schema](https://texonom.com/winograd-schema-88d031934ad54778835cbadbd7409d80)\| \|[AI Hacking](https://texonom.com/ai-hacking-80b1aed302bb4a5c9b8ae0213b9a246f)\|	75589b92c7d546e488b4766e8edfa47d
AI Term	AI Notion	Sep 5, 2020	Alan Jo	Alan Jo	Jul 4, 2023		### AI Terms \|Title\| \|:-:\| \|[Technological singularity](https://texonom.com/technological-singularity-4a2e2f5be15a4947ab1515a9ea8e1903)\| \|[AGI](https://texonom.com/agi-38ec1ab5796f472ca4475676519e29c1)\| \|[Super Intelligence](https://texonom.com/super-intelligence-b057e644731546d9b39cb41939d36712)\| \|[4차 인간](https://texonom.com/4-26cf5d3b26e94020a6fc6de2d34a15f6)\| \|[Turing Test](https://texonom.com/turing-test-db633c61340449c4bf0143b06fe981c0)\| \|[Explainable AI](https://texonom.com/explainable-ai-e1b35d4b9a6342dc863578350a7b4325)\| \|[Adaptive AI](https://texonom.com/adaptive-ai-4efa0c042d244228a870d4c70b8f2d26)\| \|[Transfer Learning](https://texonom.com/transfer-learning-442feb66465944eebf144d4e9dd1dbf8)\| ### Notion > [인공지능 이야기 2 - 기호주의와 연결주의](https://pgr21.com/pb/pb.php?id=freedom&no=57391)	efdba1a724a44b53a7901c1848c35c20
Machine Learning	AI Notion	Nov 5, 2019	Alan Jo	Seong-lae Cho	Jul 6, 2023	[Learning](https://texonom.com/learning-9466b437cb9e4ddba3afcf2a43744e5f) [Statistics](https://texonom.com/statistics-561b1e8231f44a45bb6284033db682fb) [AI Data](https://texonom.com/ai-data-dcd9611d8a5647ba95e7bc63a7e6db1f) [Analysis](https://texonom.com/analysis-5cc376f4888942a89adb9e7d74e72900)	### Find the most likely [Statistical Model](https://texonom.com/statistical-model-2dcba57e60b44272a4bdf0d0dbbee68b) 언어와 시각적 모두 가리기를 토한 자가지도학습이 현재로서 지능 생성의 최적의 방법 강화학습과 지도학습은 시행에 따른 지적 정보 형성 효율이 너무 적다 (자기주도형 학습) 아이들도 실제로 지도학습이나 강화학습보다 관찰을 통해 자신의 world model을 만든다 ### Machine Learning Notion \|Title\| \|:-:\| \|[Machine Learning Theory](https://texonom.com/machine-learning-theory-c69317fb5dc24f05a29532fa27d27cb1)\| \|[Inductive Learning](https://texonom.com/inductive-learning-b4088c5d69514827aa95fcf12c0daaa9)\| \|[AI Ensemble](https://texonom.com/ai-ensemble-03bf3a1926dd46f18400b5830d8fdf0b)\| \|[Transduction Learning](https://texonom.com/transduction-learning-1ff573898b0b46f782e199870952ddad)\| \|[Discriminative Learning](https://texonom.com/discriminative-learning-6c8fa85172824233934d62cc217871f4)\| \|[Generative Learning](https://texonom.com/generative-learning-63566344cc974563bcd76131207267f9)\| \|[Progressive Learning](https://texonom.com/progressive-learning-46a222e83bc64bd49f4c44c3d0519fdb)\| ### Machine Learning Usages \|Title\| \|:-:\| \|[Learn Machine Learning](https://texonom.com/learn-machine-learning-1c6270ed8f544e52b0fa19044a459c6a)\| \|[Neural Network](https://texonom.com/neural-network-86f54f9f1de848c1a29c56c24f7d5094)\| \|[Machine Learning Method](https://texonom.com/machine-learning-method-4d27fd7ddf4247e6b98df2ac09c2e25a)\| \|[Machine Learning Tool](https://texonom.com/machine-learning-tool-4183d7b4a9d44149932142731c91ca1d)\| \|[ML Meta Algorithm](https://texonom.com/ml-meta-algorithm-29290f722f8c442a9e8c9a3528420be1)\| \|[Machine Unlearning](https://texonom.com/machine-unlearning-7b6060981f15488e8708533a77b88a2d)\| ### [Jeff Dean](https://texonom.com/jeff-dean-dd38bba08cea419eb45e1029e7c3aa15) > [Jeff Dean: AI isn't as smart as you think -- but it could be \| TED](https://www.youtube.com/watch?v=J-FzHIQ7SOs) > [(Jpn) 모두를 위한 인공지능 : Building AI for Everyone \| 제프 딘 구글 AI 총괄 시니어 펠로우 \| 인공지능 AI 머신러닝 \| 세바시 949회](https://www.youtube.com/watch?v=BKj3fnPSUIQ)	96195e7f57d74bcf9e8719a53394e421
AI Model Deployment	AI Model Notion	Apr 17, 2023	Alan Jo	Alan Jo	Jul 20, 2023	[Model Optimization](https://texonom.com/model-optimization-534986019c1e4460bc6c6a7456b1c989)	### Model Deployment Tools \|Title\| \|:-:\| \|[Streamlit](https://texonom.com/streamlit-9e295c64d27e4999878a022b1c538964)\| \|[Gradio](https://texonom.com/gradio-7e1647e9bc174161b4d7e8f44dd53707)\| \|[BentoML](https://texonom.com/bentoml-3f95eb2491994c149c921fdff6652246)\| \|[Truss](https://texonom.com/truss-9ab53c8054db48e3834046908dd99093)\| \|[TensorIR](https://texonom.com/tensorir-f594e392458d4772a997767a34eaf0d6)\| ### LLM > [Ask HN: How are you improving your use of LLMs in production? \| Hacker News](https://news.ycombinator.com/item?id=36787924)	5ec65cde28d845ea84162fcf8cf3dd7d
Model Generalization	AI Model Notion	May 2, 2023	Alan Jo	Alan Jo	Jun 13, 2023	[AI Data](https://texonom.com/ai-data-dcd9611d8a5647ba95e7bc63a7e6db1f) [Loss Function](https://texonom.com/loss-function-e8f6343914494828988137987cf459f9) [Model Regularization](https://texonom.com/model-regularization-33936588cdef4041a94d0846c43ada98)	### model’s capability to adapt properly to new/unseen data model complexity → high variance in test data Model has family set of structure made by training datasets which can be ![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F9f406838-555a-42c5-8688-444bcbc4afa2%2FUntitled.png?table=block&id=c86e04a0-7611-4330-a922-a350c95636c3&cache=v2) ### Model Generalization Notion \|Title\| \|:-:\| \|[Pre Training](https://texonom.com/pre-training-0d81c286e86f4dcba940d3c849631b35)\| \|[Overfitting](https://texonom.com/overfitting-24c3b183372845e8999ad7f7a0ba5035)\| \|[Underfitting](https://texonom.com/underfitting-e56067d23ba8404a8e5165085986c9aa)\| \|[Fine Tuning](https://texonom.com/fine-tuning-52215d8477ad46e3896a29e2fa408991)\| \|[Generalization Gap](https://texonom.com/generalization-gap-d8b4ec347e7d4df282ea96a093e7581f)\|	0a2de5c4578c47dd9a5dc1b83fbaf72b
Model Optimization	AI Model Notion	Jun 4, 2023	Alan Jo	Alan Jo	Jun 4, 2023		### Model Optimization Notion \|Title\| \|:-:\| \|[Knowledge Distillation](https://texonom.com/knowledge-distillation-d5f32ad3da32434892a9765d68d31542)\| \|[Model Quantization](https://texonom.com/model-quantization-88320068bdd94ddab6f44c0c7d66de31)\| \|[Model Optimizer](https://texonom.com/model-optimizer-fcac7c38aa0647afb911eb84ff610ab1)\|	534986019c1e4460bc6c6a7456b1c989
Model Regularization	AI Model Notion	May 9, 2023	Alan Jo	Alan Jo	Jun 7, 2023	[Model Generalization](https://texonom.com/model-generalization-0a2de5c4578c47dd9a5dc1b83fbaf72b) [Loss Function](https://texonom.com/loss-function-e8f6343914494828988137987cf459f9) [Learning Rate](https://texonom.com/learning-rate-c9a29280131f4f95a6191bde244f6789)	We can calculate model complexity by compute norm of parameters $$L = L_{data} + L_{reg}$$ ### Model Regularization Notion \|Title\| \|:-:\| \|[Regularized Loss](https://texonom.com/regularized-loss-3d5b08feb6604023988d748b78650af7)\| \|[Model Regularizer](https://texonom.com/model-regularizer-19ff79e831de47d88bd5f9ec496ef11f)\| \|[Model Regularization Parameter](https://texonom.com/model-regularization-parameter-641d1784e1f243818d51cc66541e3f21)\| \|[Model Complexity](https://texonom.com/model-complexity-0975b8ae1d4e4d83bbab43a145011b95)\| \|[Weight Decay](https://texonom.com/weight-decay-e69932d6128f4677a219a626db462172)\| \|[Sparsity of the Model](https://texonom.com/sparsity-of-the-model-80d3dc9702704c03bf7bfd9074d19829)\| \|[Drop-out](https://texonom.com/drop-out-596f55ab03f64e11bf6d02464465dd54)\|	33936588cdef4041a94d0846c43ada98
BentoML	Model Deployment Tools	Dec 5, 2021	Alan Jo	Alan Jo	Jun 27, 2023		[bentoctl](https://texonom.com/bentoctl-9eeed1d5604c4d0aae2b1864ec3b563b) [OpenLLM](https://texonom.com/openllm-ef8006a6f21c40f785edaaef0c0415c1) > [이수진의 블로그](https://lsjsj92.tistory.com/621) > [BentoML: Simplify Model Deployment](https://www.bentoml.com/)	3f95eb2491994c149c921fdff6652246
Gradio	Model Deployment Tools	May 11, 2022	Alan Jo	Alan Jo	Jun 11, 2023	[gradio](https://github.com/gradio-app/gradio)	### Gradio Usages \|Title\| \|:-:\| \|[](https://texonom.com/9cf4a08beb80403e9f58d3dd63f57421)\|	7e1647e9bc174161b4d7e8f44dd53707
Streamlit	Model Deployment Tools	Jan 16, 2022	Alan Jo	Alan Jo	Aug 8, 2023	[streamlit](https://github.com/streamlit/streamlit)	### Streamlit Usages \|Title\| \|:-:\| \|[Streamlit UI](https://texonom.com/streamlit-ui-4d1410d0bdb54e1ba4512e03f500b0b7)\| \|[Streamlit Cloud](https://texonom.com/streamlit-cloud-8c045600c4314f6382bd3c05358dd2ba)\| \|[Streamlit Caching](https://texonom.com/streamlit-caching-a22ccb53e76349dc9ccf31b616d84083)\| \|[Streamlit Widget](https://texonom.com/streamlit-widget-c4cd30e860ad4f8487ef2f4fcae564e6)\| ### Streamlit Chatbot [llm-examples](https://github.com/streamlit/llm-examples) > [Chatbot](https://llm-examples.streamlit.app/) ### Docs > [Installation - Streamlit Docs](https://docs.streamlit.io/library/get-started/installation) > [streamlit-async_demo.py](https://gist.github.com/wfng92/0cc6673e9ce4e8b880e6a38c134ed0cf)	9e295c64d27e4999878a022b1c538964
**TensorIR**	Model Deployment Tools	Apr 17, 2023	Alan Jo	Alan Jo	May 8, 2023		> [TensorIR: An Abstraction for Automatic Tensorized Program Optimization](https://arxiv.org/abs/2207.04296)	f594e392458d4772a997767a34eaf0d6
Truss	Model Deployment Tools	Aug 1, 2022	Alan Jo	Alan Jo	May 8, 2023	[truss](https://github.com/basetenlabs/truss)		9ab53c8054db48e3834046908dd99093
bentoctl	BentoML	null	null	null	null	null	- [AWS EC2](https://texonom.com/aws-ec2-a2ddfd8911b843628f344b4f039eb741) - [GCP Cloud Run](https://texonom.com/gcp-cloud-run-3da7cd20b0e24a09b8917f2fc595d7b6) - [GCP Compute Engine](https://texonom.com/gcp-compute-engine-3c67ca7801ad4e6998b3e4da3c7160b2) - [Heroku](https://texonom.com/heroku-00c0b59b665f43009553ce8aaad86270) [bentoctl](https://github.com/bentoml/bentoctl)	9eeed1d5604c4d0aae2b1864ec3b563b
OpenLLM	BentoML	null	null	null	null	null	[OpenLLM](https://github.com/bentoml/OpenLLM) [LangChain](https://texonom.com/langchain-945567c597364cbb98336ca08c059856)	ef8006a6f21c40f785edaaef0c0415c1
[text-generation-webui](https://github.com/oobabooga/text-generation-webui)	Gradio Usages	Jun 11, 2023	Alan Jo	Alan Jo	Jun 11, 2023			9cf4a08beb80403e9f58d3dd63f57421

iptables

NAT Usages

Apr 24, 2020

Alan Jo

Feb 19, 2023

[Netfilter](https://texonom.com/netfilter-4f3359c928954dabb95b2c511cca1c22) project에서 개발한 강력한 nat 툴 리눅스에 내장된 패킷 필터링 및 NAT를 설정할 수 있는 기능 패킷이 재설정으로 돌아오는것을 보고 RST(Reset, 재설정) 패킷을 버림 ```typesudo iptables -A INPUT -p tcp --tcp-flags RST RST --sport 443 -j DROP``` [iptables chain](https://texonom.com/iptables-chain-cdc59a49b2c04b458bb4429bc831efd5) > [GM Yankee](https://gmyankee.tistory.com/296)

8d3a1c6d5f8e44d2a0f5590f275c9d3e

IPVS

NAT Usages

Feb 19, 2023

Alan Jo

Feb 19, 2023

레이어 4 LAN 스위칭이라고 하는 전송 레이어 로드 밸런싱을 [Netfilter](https://texonom.com/netfilter-4f3359c928954dabb95b2c511cca1c22) 커널 위에서 동작 그래서 [HAproxy](https://texonom.com/haproxy-560d03c2961e401e9e19d5ef6a215729) User Level Load Balancer보다 빠른 성능으로 동작 ipvsadm 도구를 통해 구성

e778a2c8cba949a3bf9cb903f43bbfae

iptables chain

iptables

null

### Chains - input - output - forward accept drop > [[Linux] 리눅스 방화벽 Iptables 개념정리](https://itragdoll.tistory.com/2)

cdc59a49b2c04b458bb4429bc831efd5

Ethernet Gateway

Ethernet Usage

Mar 20, 2021

Alan Jo

Jun 28, 2021

- 게이트웨이(GateWay) : 프로토콜이 다른 네트워크를 연결시켜 주는 장치로 응용계층을 연결하여 데이터 형식의 변환 및 프로토콜의 변환등을 수행하며, 주로 LAN에서 다른 네트워크에 데이터를 보내거나 다른 네트워크로부터 데이터를 받아들이는 출입구 역할을 한다.

43b471af5d324228aba2e7dab32028c5

Ethernet Hub

Ethernet Usage

Apr 4, 2020

Alan Jo

Jun 28, 2021

### 근거리의 다른 네트워크(즉,다른 허브)와의 연결 자체가 의미라 여러 경우로 쓰일 수 있는데 보통 네트워크 확장으로 쓰인다 이더넷 허브(ethernet hub)는 이더넷 네트워크에서 여러 대의 컴퓨터, 네트워크 장비를 연결하는 장치이다. 한 대의 허브를 중심으로 여러대의 컴퓨터와 네트워크 장비가 마치 별 모양으로 서로 연결되며, 같은 허브에 연결된 컴퓨터와 네트워크 장비는 모두 상호 간에 통신을 할 수 있게 된다 허브에 라우터나 3계층 스위치 등의 장비가 연결되어 있으면 이를 통해 더 높은 계층의 네트워크(WAN, MAN 등)과도 연결할 수 있다. 허브와 컴퓨터 장비간의 연결에는 보통 UTP 케이블과 RJ45 커넥터가 쓰인다. 허브로 연결된 네트워크에서는 한 컴퓨터에서 주고받는 데이터가 같은 허브에 연결된 다른 모든 컴퓨터에 전달(broadcast)된다. 이 데이터는 맨체스터 코드를 사용하여 인코딩된다. [ 맨체스터 코드](https://texonom.com/dd46bd93a625473c902756dd58a2040c) 따라서 연결된 컴퓨터의 개수가 많아질 수록 네트워크에서 충돌(collision)이 많아지고 속도가 느려진다. 이 문제를 해결하기 위해 최근에는 데이터가 필요한 컴퓨터에만 전송하는 이더넷 스위치를 많이 사용한다. - 허브(Hub) : 네트워크를 구성할 때 한꺼번에 여러 대의 컴퓨터를 연결하는 장치로, 각 회선을 통합적으로 관리한다.

bf684808beed40eabc0768c6009b2159

Ethernet Switch

Ethernet Usage

Mar 1, 2020

Alan Jo

Jun 6, 2023

허브가 한 포트로 신호가 들어오면 같은 신호를 다른 모든 포트로 전달하는 것에 비해, 스위치는 신호를 필요로 하는 포트로만 신호를 전달 ### Ethernet Switch Notion |Title| |:-:| |[Ethernet Switch Property](https://texonom.com/ethernet-switch-property-b1d420f970644b85923f4083a0172d49)| |[Switching fabric](https://texonom.com/switching-fabric-761ff1def8ee46c98850efddf8bea267)| |[Switch Line](https://texonom.com/switch-line-c8f8f926ed9c4f45ba05fb5e6dafeb0a)| |[Ethernet Switch ASIC](https://texonom.com/ethernet-switch-asic-a27706af2b6b430b9c98a1944fccb00c)| ### Ethernet Switches |Title| |:-:| |[L2 Switch](https://texonom.com/l2-switch-801bca43845f41ebb197ac7698dac7b2)| |[L3 Switch](https://texonom.com/l3-switch-fbe18a04db5448269906940920f69ba4)| |[L4 Switch](https://texonom.com/l4-switch-e79d66e1e895481a99ed65709fa9ff91)| |[L7 Switch](https://texonom.com/l7-switch-b92528e2ec9944419081e7370d53ab9a)|

b8a902164a6f404ca39dd5c8c03f6e25

맨체스터 코드

Ethernet Hub

null

dd46bd93a625473c902756dd58a2040c

Ethernet Switch ASIC

Ethernet Switch Notion

Jun 6, 2023

Alan Jo

Jun 6, 2023

a27706af2b6b430b9c98a1944fccb00c

Ethernet Switch Property

Ethernet Switch Notion

Jul 26, 2021

Alan Jo

Jul 26, 2021

대부분의 허브는 충돌을 탐지하기 위해 반이중(half duplex)만을 지원하는 데 반해, 대부분의 이더넷 스위치는 전이중(full duplex)을 지원한다. 이더넷 스위치는 허브와 목적이 거의 동일하지만, 훨씬 향상된 네트워크 속도를 제공한다. 이는 각 컴퓨터에서 주고 받는 데이터가 허브처럼 다른 모든 컴퓨터에 전송되는 것이 아니라, 데이터를 필요로 하는 컴퓨터에만 전송되기 때문에 가능하다. 따라서 허브처럼 병목 현상이 쉽게 생기지 않는다. 또한 대부분의 이더넷 스위치는 전이중 통신방식(full duplex)을 지원하기 때문에 송신과 수신이 동시에 일어나는 경우 훨씬 향상된 속도를 제공한다. 스위치는 이 기능을 수행하기 위해 각 컴퓨터의 고유한 MAC 주소를 기억하고 있어야 하며, 이 주소를 통해 어떤 데이터가 어디로 전송되어야 하는지 판단해야 한다. 하지만 스위치를 이용하는 경우도 대량의 동보발송이나 스위치의 처리용량을 초과하는 데이터 흐름에 대해서는 취약할 수밖에 없으므로 커다란 네트워크의 경우는 [VLAN](https://ko.wikipedia.org/wiki/VLAN) 스위치나 라우터 등을 이용해 네트워크 자체를 분리해야 한다. 스위칭 허브(switching hub), 포트 스위칭 허브(port switching hub)라고도 불린다. 자기 gateway 랑 공적 ip, 같은 레벨 공유기에 포트포워딩된 내부망 볼수 있다 > [이더넷](https://ko.wikipedia.org/wiki/%EC%9D%B4%EB%8D%94%EB%84%B7)

b1d420f970644b85923f4083a0172d49

Switch Line

Ethernet Switch Notion

Jul 26, 2021

Alan Jo

Jul 26, 2021

[IP Packet](https://texonom.com/ip-packet-b68420a6c1c54c2b8df252e0ba4c41a5) [HOL Blocking](https://texonom.com/hol-blocking-7c6fd05b40194d01bba34ab930564073)

Input buffered switch의 packet line clock당 cpu pipeline마냥 처리하는데 늦춰질 수 있다 > [[기타] HOL 블로킹(Head-Of-Line Blocking)](https://letitkang.tistory.com/79)

c8f8f926ed9c4f45ba05fb5e6dafeb0a

Switching fabric

Ethernet Switch Notion

Jul 26, 2021

Alan Jo

Jul 26, 2021

패킷을 받는 input, input을 지난 후의 Switching fabric, Switching fabric을 지난 후의 output, 총 세 부분 > [[기타] HOL 블로킹(Head-Of-Line Blocking)](https://letitkang.tistory.com/79)

761ff1def8ee46c98850efddf8bea267

**NVIDIA SPECTRUM**

Ethernet Switch ASIC Products

Jun 6, 2023

Alan Jo

Jun 6, 2023

> [https://www.zdnet.com/article/nvidia-unveils-new-kind-of-ethernet-for-ai-grace-hopper-superchip-in-full-production](https://www.zdnet.com/article/nvidia-unveils-new-kind-of-ethernet-for-ai-grace-hopper-superchip-in-full-production)

94874b7665f54739b7b80575f181ddbf

**NVIDIA SPECTRUM-4**

NVIDIA SPECTRUMs

Jun 6, 2023

Alan Jo

Jun 6, 2023

9489ce1f30ba4b8293ba9812bda49e21

**NVIDIA SPECTRUM-X**

NVIDIA SPECTRUMs

Jun 6, 2023

Alan Jo

Jun 6, 2023

e413926cd8154e3ea4b83b9e28a43fe7

L2 Switch

Ethernet Switches

Nov 1, 2020

Alan Jo

Nov 10, 2021

## Bridge 동일한 네트워크 간 인접한 두 시스템(노드) 간 통신을 규정 물리 계층이 데이터를 보내고 받고 하는 기능을 한다면 데이터 링크 게층은 물리 게층이 잘 동작하고 있는지 확인하는 역할 네트워크 계층에서 데이터 패킷을 받아들여 MAC 주소와 각종 제어 정보를 추가 추가적인 정보를 가지고 있는 데이터 단위를 프레임(frame)이라 하고 물리 계층을 통해 전송 L2 스위치라는 장비는 통신하고 싶은 노드가 어떤 포트와 연결되어 있는지를 MAC 주소로 판단하고 패킷을 전송하는 장비 > [개발자를 위한 인프라 기초 총정리](https://futurecreator.github.io/2018/11/09/it-infrastructure-basics/index.html)

801bca43845f41ebb197ac7698dac7b2

L3 Switch

Ethernet Switches

Nov 1, 2020

Alan Jo

Jul 26, 2021

### L3 스위치는 라우터와 동일한 기능을 하드웨어로 처리하는 장비 ### routing L3는 공유기랑 같은 기능 데이터 링크 계층이 MAC 주소를 기반으로 한다면 네트워크 계층은 IP 주소를 기반 데이터 계층이 노드 간 전달을 담당하는 반면 네트워크 계층은 송신지에서 최종 수신지까지 데이터를 안전하게 전달하는 것을 담당 패킷의 이동량이 많을 때, 전송분실에 재전송 요구 ### flow control, 오류제어 기능 ### routing table 관리 Static Route, Dynamic Route > [개발자를 위한 인프라 기초 총정리](https://futurecreator.github.io/2018/11/09/it-infrastructure-basics/index.html)

fbe18a04db5448269906940920f69ba4

L4 Switch

Ethernet Switches

Nov 1, 2020

Alan Jo

Jul 26, 2021

L4는 로드밸런스 되는 스위치라 생각하면 되고. 낼 데이터의 용량, 속도, 목적지 등을 처리 . 세션 계층에서 보낸 메시지를 세그먼트로 나누고 각 세그먼트의 순서 번호를 기록해서 네트워크 계층으로 보내면 받는 쪽에서는 이를 다시 조립합니다. 이런 방식으로 전송 오류의 검출이나 재전송을 규정 > [개발자를 위한 인프라 기초 총정리](https://futurecreator.github.io/2018/11/09/it-infrastructure-basics/index.html)

e79d66e1e895481a99ed65709fa9ff91

L7 Switch

Ethernet Switches

Nov 1, 2020

Alan Jo

Jul 26, 2021

L7 스위치는 OSI 의 Layer 7. 즉, 어플리케이션 레이어에서 동작하는 것으로 이를테면 이메일의 제목이나 문자열을 보고 내용을 파악한다거나 HTTP 의 URL, 또는 FTP의 파일명, 쿠키 정보, 특정 바이러스의 패턴 등을 분석해서 보안에 더욱 유리하고 더욱 정교한 로드 밸런싱이 가능 쉽게말해 L7 스위치라는 것은 마케팅용어 > [스위치ㅣL2, L3, L4, L7 스위치의 차이점](https://se-sik.tistory.com/74)

b92528e2ec9944419081e7370d53ab9a

AT & T

Communication Companies

Mar 4, 2020

null

154a4ec6731646c08965c4775883a73f

**Kuiper**

Communication Companies

Oct 26, 2021

null

[Amazon](https://texonom.com/amazon-f1722d7da08e423eb63f149c707397f4) [StarLink](https://texonom.com/starlink-21c4fb79a9284d2ca33be33634e161e9)

광대역 인터넷 연결을 제공하기 위해 대규모 광대역 위성 인터넷 배치를 배포하기 위해 2019년에 설립된 Amazon의 자회사 > [Amazon is getting ready to launch a lot of broadband satellites](https://arstechnica.com/space/2023/07/amazon-is-getting-ready-to-launch-a-lot-of-broadband-satellites/) > [Amazon's broadband satellite venture Kuiper teams up with Verizon to expand 5G coverage](https://www.theverge.com/2021/10/26/22745637/amazon-kuiper-satellite-constellation-verizon-partnership-5g-cellular-backhaul) > [Amazon secures key FCC approval to deploy its Project Kuiper broadband satellites | Engadget](https://www.engadget.com/amazon-secures-fcc-approval-project-kuiper-broadband-satellites-071817672.html)

5f23aa98317c41548c0d0d640d4d644d

Verizon

Communication Companies

Jun 28, 2021

null

> [Amazon's broadband satellite venture Kuiper teams up with Verizon to expand 5G coverage](https://www.theverge.com/2021/10/26/22745637/amazon-kuiper-satellite-constellation-verizon-partnership-5g-cellular-backhaul)

4b65046abbc74c539011fd0915e7262e

WARNERMEDIA

Subsidiary company

Mar 4, 2020

null

5326d1f0def34772ad52699d55c170a4

HBO

Subsidiary company

Mar 4, 2020

null

Home Box Office

444ce663d18a448bb44a9a2f359b2d6e

KIS Wire

Wire Industry

Nov 16, 2021

null

부산 건물 이쁜 [조병수](https://texonom.com/8f9bc6d01b874d279a38cbe7882523a1) 다리들 와이어 다 이걸로

7801926394a4456b8308f582e84b1fe3

LS

Wire Industry

Sep 17, 2023

Alan Jo

Sep 17, 2023

9602bf759a3d4f10b5b37ba2d652f92a

taihan

Wire Industry

Nov 16, 2021

null

### 대한전선 미국 인프라 전선 수주 > [[기업소개] 대한전선](http://www.energy-news.co.kr/news/articleView.html?idxno=78309)

58fc8655dd84418298079db2ba9ac0a3

RX

Network Metric

null

### Receive Data

7475b60f78d3496498185f5d6082de03

TX

Network Metric

null

Transmit Data ### Network Data Sending

f832ff928bfd4bc4a4e47be3d71e31d6

bandwidth

Network Metrics

Mar 22, 2021

null

d19d7f79339745f8aaf0719c21917522

payload

Network Metrics

Jun 5, 2020

null

사용에 있어서 전송되는 데이터를 뜻한다 페이로드는 전송의 근본적인 목적이 되는 데이터의 일부분으로 그 데이터와 함께 전송되는 헤더와 메타데이터와 같은 데이터는 제외한다 > [페이로드 (컴퓨팅)](https://ko.wikipedia.org/wiki/%ED%8E%98%EC%9D%B4%EB%A1%9C%EB%93%9C_(%EC%BB%B4%ED%93%A8%ED%8C%85))

d721ffe8a09f46469cf50fa409a5c12b

Toxiproxy

Network Simulation Tools

Nov 3, 2021

Alan Jo

Nov 3, 2021

[undefined](https://github.com/Shopify/toxiproxy) [Shopify](https://texonom.com/shopify-b227a8ce88db477394eaaa610b659ae1)

3cab87644b3c46ffbf0f415d96d48d1b

Aalyria

Lifi Companies

Mar 3, 2023

Alan Jo

Mar 3, 2023

Google startup > [Aalyria | Connectivity Everywhere](https://www.aalyria.com/)

30f9b99b59b14b908783f26db39602c3

Lifi Router

Lifi Companies

Jul 18, 2023

Alan Jo

Jul 18, 2023

> [This lamp beams internet to your laptop](https://www.youtube.com/watch?v=OpYejIKbluA)

e91a77307a45480dba17825a0d7cea9c

****Transcelestial****

Lifi Companies

Mar 3, 2023

Alan Jo

Mar 3, 2023

> [Wireless laser communications startup Transcelestial raises $10 mln](https://www.reuters.com/technology/wireless-laser-communications-startup-transcelestial-raises-10-mln-2023-02-16/)

45702dfeb4ae44a78e9881c160285686

FDM

Multiplexing Notion

Nov 19, 2020

Alan Jo

Apr 24, 2023

166e73e54aaf46e1a99f730eaa91aabd

OFDMA

Multiplexing Notion

Apr 24, 2023

Alan Jo

Apr 24, 2023

[Wifi 6](https://texonom.com/wifi-6-d4f7c726734143a59577e1e01b534dc3)

### **Orthogonal frequency-division multiple access** ![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fc071f1e8-7ec6-4957-b1d5-b4ff2ac51057%2FUntitled.png?table=block&id=b7c2465f-0ea6-4656-a3a7-72bb2a063042&cache=v2) ### Diagram > [[무선] OFDMA가 무엇입니까? | 공식지원 | ASUS 한국](https://www.asus.com/kr/support/FAQ/1042759/) > [Orthogonal frequency-division multiple access](https://en.wikipedia.org/wiki/Orthogonal_frequency-division_multiple_access) > [TTA정보통신용어사전](https://terms.tta.or.kr/dictionary/dictionaryView.do?word_seq=170493-5) ### Structure > [OFDM (OFDMA) 원리 및 특징 장단점](https://ttistoryy.tistory.com/15) > [와이파이 6과 OFDMA의 결합, 새로운 무선 세계 열린다](https://www.itworld.co.kr/news/114759)

5ebbe86013b740e8b195c7b21be4ce0b

TDM

Multiplexing Notion

Nov 19, 2020

Alan Jo

Apr 24, 2023

ff1537b45629436689ed3cf283f0e438

WDM

Multiplexing Notion

Nov 19, 2020

Alan Jo

Apr 24, 2023

b2b3b4d5361a4be49c83f9c8f6b80d47

Meta Engineering

Engineering Notion

Jun 21, 2022

Alan Jo

Jan 17, 2023

[Meta Programming](https://texonom.com/meta-programming-68f331a5bd80487590c9420c5768a3de) [Software Architecture](https://texonom.com/software-architecture-5d3c80f6ffe44d60b10c870903c2b703)

Over Engineering, Under Engineering 둘다 실제 [User Experience](https://texonom.com/user-experience-91eb83311a204da2bfbe1bcce73f9cff) 에 대한 이해의 부족으로 일어남 ### Meta Engineering Notion |Title| |:-:| |[Over Engineering](https://texonom.com/over-engineering-c0f0b2a18f6d420e86b3a392013e2549)| |[Under Engineering](https://texonom.com/under-engineering-28df81de6f8240d3ac489f9fcd132ada)| |[Chaos Engineering](https://texonom.com/chaos-engineering-d1d24c4d477f41c1a7c0cd3d750bb6e3)|

4838916d47f840f3b746587aede218e9

Strategic Design

Engineering Notion

Mar 15, 2020

Alan Jo

Jan 17, 2023

### Context 에 대해 생각하고 이를 기준으로 디자인을 하는 것 ### Strategic Designs |Title| |:-:| |[Object Oriented Design](https://texonom.com/object-oriented-design-f4e0cb05df1a4b4e9df68d3f9e366af9)| |[Domain Driven Design](https://texonom.com/domain-driven-design-bd76470e20c946ed85f8ee9a94f8536f)| |[BDD](https://texonom.com/bdd-860946f6dbd24647a32ad718c2a44e28)| |[ATDD](https://texonom.com/atdd-82ff40f16cfd425b92af2d238737f088)| |[TDD](https://texonom.com/tdd-20a235a47b584f5db1938055a2d1672d)| |[Hype Driven Development](https://texonom.com/hype-driven-development-4405fd69e36f46739b033b930fdf7492)| |[Data Oriented Design](https://texonom.com/data-oriented-design-81b2f7bd59ce492da1c535750da339c5)| > [Domain Driven Design 이란 무엇인가?](https://frontalnh.github.io/2018/05/17/z_domain-driven-design/)

489afc6294de4b31b51282486915e017

Chaos Engineering

Meta Engineering Notion

Apr 1, 2022

Alan Jo

Jan 17, 2023

d1d24c4d477f41c1a7c0cd3d750bb6e3

Over Engineering

Meta Engineering Notion

Jun 21, 2022

Alan Jo

Jun 21, 2022

[eXtrem Programming](https://texonom.com/extrem-programming-296a1b480336496aa668468de35799b8) [MVP](https://texonom.com/mvp-2bef5452200846699e96be0dc580b186)

- 유연한 코드를 짜는 데에 관심을 두고 예측하지만, 필요 이상으로 과도한 예측을 함 - 현재 꼭 필요한 기능들에 대해서는 구현이 완벽하지 않을 수도 > [Over & Under Engineering](https://velog.io/@dvmflstm/Over-Under-Engineering) > [오버엔지니어링 하지마라](https://m-falcon.tistory.com/496) > [오버 엔지니어링과 기술 부채](https://seokjun.kim/over-engineering-vs-techincal-debt/)

c0f0b2a18f6d420e86b3a392013e2549

Under Engineering

Meta Engineering Notion

Jun 21, 2022

Alan Jo

Jun 21, 2022

[Technical Debt](https://texonom.com/technical-debt-00b0ec55cb144de7bcf1f592a5882f39)

- 낮은 코드 퀄리티 (어려운 테스트, 추적하기 어려운 버그, 낮은 가독성) - 협업에 어렵다 - 동작하는 것에서 멈추고 코드 퀄리티를 적절하게 두지 않음 > [오버 엔지니어링과 기술 부채](https://seokjun.kim/over-engineering-vs-techincal-debt/) > [Over & Under Engineering](https://velog.io/@dvmflstm/Over-Under-Engineering)

28df81de6f8240d3ac489f9fcd132ada

Chaos Mesh

Chaos Engineering Tools

Nov 19, 2020

Alan Jo

Jan 17, 2023

[Chaos Operator](https://texonom.com/chaos-operator-b26d4700ca3b48b3b5953959dc022792) [Chaos Dashboard](https://texonom.com/chaos-dashboard-05441b9f96d14beda909c5cedd3279d4)

caa49e30d5e3442d878884a1e01974a4

Chaos Dashboard

Chaos Mesh

null

Web UI for managing, designing, monitoring Chaos Experiments

05441b9f96d14beda909c5cedd3279d4

Chaos Operator

Chaos Mesh

null

chaos orchestration

b26d4700ca3b48b3b5953959dc022792

ATDD

Strategic Designs

Nov 16, 2019

Alan Jo

Jan 17, 2023

![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2Fdfe3d757-79c9-4d9b-857f-881a3bb20728%2FUntitled.png?table=block&id=2fa728f3-e61d-467d-9896-03736c6195a9&cache=v2)

82ff40f16cfd425b92af2d238737f088

BDD

Strategic Designs

Mar 15, 2020

Alan Jo

May 5, 2021

### 테스트 코드 작성 패턴 ### Patterns |Title| |:-:| |[Describe - Context - It](https://texonom.com/describe--context--it-69f5b14295cc423e93de83bc6559f7ef)| |[Given - When - Then](https://texonom.com/given--when--then-4fd86d56534040ed8be41ea448f4a4a0)| > [BDD로 테스트에 중독되어 보자](https://helloworld.kurly.com/blog/try-bdd/) > [JUnit5로 계층 구조의 테스트 코드 작성하기](https://johngrib.github.io/wiki/junit5-nested/)

860946f6dbd24647a32ad718c2a44e28

Data Oriented Design

Strategic Designs

Jan 16, 2022

Alan Jo

Apr 3, 2022

## DOD 현재 컴퓨터 설계를 기준으로 상태 변화를 낮추려고 시도 로직의 상태를 다루려는 함수형과 달리 컴퓨터 자체에서의 상태를 줄이려 시도. 캐시 히트를 높혀서 성능향상을 가져옴 > [객체지향 시스템과 패러다임 그리고 철학](https://black7375.tistory.com/86)

81b2f7bd59ce492da1c535750da339c5

Domain Driven Design

Strategic Designs

Jan 18, 2020

Alan Jo

Jan 16, 2022

[Domain](https://texonom.com/domain-8ae15be2fe6941deb76c66bc539b030a)

## Loose Coupling, High Cohesion 각 도메인이 연결성이 적고 높은 정도로 연관되어 보다 가벼운 설계를 위해 탄생 전통적 OOP와 달리 도메인과 맥락에 따라 다르게 설계를 함(그림이론-용도의미론과 비슷), 서브도메인의 의존성 주입을 하는 AOP를 사용하면 구현이 편해짐 ### DDD Notion |Title| |:-:| |[domain login](https://texonom.com/domain-login-45d4d23254b548c3b7acd321ca8ec222)| |[bounded context](https://texonom.com/bounded-context-8b65b57ec37b452da249d64389ceea97)| |[domain model](https://texonom.com/domain-model-319b362dac7047ed819b75e67c0b8f85)| |[Context Map](https://texonom.com/context-map-b837167f00814f6f803587f21c76fe3c)| > [객체지향 시스템과 패러다임 그리고 철학](https://black7375.tistory.com/86) > [Domain Driven Design 이란 무엇인가?](https://frontalnh.github.io/2018/05/17/z_domain-driven-design/)

bd76470e20c946ed85f8ee9a94f8536f

Hype Driven Development

Strategic Designs

Dec 1, 2021

Alan Jo

Dec 1, 2021

신기술 도입에 설레발 주도 개발

4405fd69e36f46739b033b930fdf7492

Object Oriented Design

Strategic Designs

Mar 9, 2021

Alan Jo

May 5, 2021

객체를 기준으로 디자인을 진행

f4e0cb05df1a4b4e9df68d3f9e366af9

TDD

Strategic Designs

Nov 16, 2019

Alan Jo

Dec 1, 2021

기능 추가시 사례분류한 것 모든 사례 테스트가 작동해야 기능 변경, 제거, 추가시 모든 사례분류가 작동가능해야 ### TDD Notion |Title| |:-:| |[classicists](https://texonom.com/classicists-9e97f1f815174fe4ba6d2d730cffb9f9)| |[Mockist](https://texonom.com/mockist-cb416cfb821e444f88364a261c9afeda)| |[SUT](https://texonom.com/sut-7f7544f112ab4236b15d56593349fd88)| |[collaborator](https://texonom.com/collaborator-795cd3a4e34b450d8d49a187c672416d)| |[test double](https://texonom.com/test-double-0747b46fef0a4364b926c84743cce71f)| [상태검증](https://texonom.com/e7f497b8b6ee41d08028ca7e2ccd36ef) [행위검증](https://texonom.com/326b8bc24868482893bf8fde6d016b37) > [https://justhackem.wordpress.com/2018/01/16/is-that-integration-test-really/](https://justhackem.wordpress.com/2018/01/16/is-that-integration-test-really/) > [Mockist vs. Classicists TDD](https://www.slideshare.net/davidvoelkel/mockist-vs-classicists-tdd-57218553) > [[tdd] 상태검증과 행위검증, stub과 mock 차이](https://joont92.github.io/tdd/%EC%83%81%ED%83%9C%EA%B2%80%EC%A6%9D%EA%B3%BC-%ED%96%89%EC%9C%84%EA%B2%80%EC%A6%9D-stub%EA%B3%BC-mock-%EC%B0%A8%EC%9D%B4/)

20a235a47b584f5db1938055a2d1672d

Describe - Context - It

Patterns

Mar 15, 2020

null

이 패턴은 코드의 행동을 설명하는 테스트 코드를 작성한다 ### |Title| |:-:| |[Describe](https://texonom.com/describe-cf86e2d38e1a4f64b9047b5e2eb37ccb)| |[Context](https://texonom.com/context-47eb3cee669d4380b6363f97ab88ce0d)| |[It](https://texonom.com/it-fa9508181fa34853ab4add7c2396bb5e)| Tool gallary jpa ruby go - ginkgo php - kahan kotlin - spec

69f5b14295cc423e93de83bc6559f7ef

Given - When - Then

Patterns

Mar 15, 2020

null

4fd86d56534040ed8be41ea448f4a4a0

Context

null

47eb3cee669d4380b6363f97ab88ce0d

Describe

null

cf86e2d38e1a4f64b9047b5e2eb37ccb

It

null

fa9508181fa34853ab4add7c2396bb5e

bounded context

DDD Notion

Mar 9, 2021

null

subdomain의 문맥적 상황 특정 모델이 정의되고 적용될 수 있는 영역

8b65b57ec37b452da249d64389ceea97

Context Map

DDD Notion

Mar 9, 2021

null

bounded context들 사이의 관계

b837167f00814f6f803587f21c76fe3c

domain login

DDD Notion

Mar 9, 2021

null

45d4d23254b548c3b7acd321ca8ec222

domain model

DDD Notion

Mar 9, 2021

null

subdomain의 구체적인 형상 구체적인 설계

319b362dac7047ed819b75e67c0b8f85

행위검증

TDD

null

SUT가 협력객체의 특정 메서드가 호출되었지 등의 행위를 검사함으로써 올바로 동작했는지 판단

326b8bc24868482893bf8fde6d016b37

상태검증

TDD

null

메서드가 수행된 후 SUT나 협력객체의 상태를 살펴봄으로써 올바로 동작했는지를 판단

e7f497b8b6ee41d08028ca7e2ccd36ef

classicists

TDD Notion

Nov 16, 2019

null

가능하면 항상 진짜 객체를 사용 진짜 객체를 사용하기 만만치 않으면 더블을 사용한다 - 그리고 항상 상태검증을 사용하려고

9e97f1f815174fe4ba6d2d730cffb9f9

collaborator

TDD Notion

Mar 9, 2021

null

객체(secondary objects)

795cd3a4e34b450d8d49a187c672416d

Mockist

TDD Notion

Nov 16, 2019

null

관심있는 행위를 가진 모든 객체에 모의객체를 사용 그리고 항상 행위검증을 사용지향 > [그게 통합 테스트라고? 정말?](https://justhackem.wordpress.com/2018/01/16/is-that-integration-test-really/)

cb416cfb821e444f88364a261c9afeda

SUT

TDD Notion

Mar 9, 2021

null

System Under Test : primary object

7f7544f112ab4236b15d56593349fd88

test double

TDD Notion

Mar 9, 2021

null

테스트 대역 테스팅을 목적으로 진짜 객체대신 사용되는 모든 종류의 위장 객체 Dummy Fake Object [TDD Stub](https://texonom.com/tdd-stub-f23e82fa666d437ab5c66a7cfedc83d3) [TDD Mock](https://texonom.com/tdd-mock-7b64e87741db443f90db9767f9331328) [TDD Spy](https://texonom.com/tdd-spy-a20ff4d35f3641dfa3bb6a4df0ee5e09) > [[tdd] 상태검증과 행위검증, stub과 mock 차이](https://joont92.github.io/tdd/%EC%83%81%ED%83%9C%EA%B2%80%EC%A6%9D%EA%B3%BC-%ED%96%89%EC%9C%84%EA%B2%80%EC%A6%9D-stub%EA%B3%BC-mock-%EC%B0%A8%EC%9D%B4/) > [Sinon.js의 spy, stub, mock 의 Best Practice](https://tiffany.devpools.kr/2018/03/19/sinon/)

0747b46fef0a4364b926c84743cce71f

TDD Mock

test double

null

- 다른 테스트더블과는 다르게 행위검증 사용을 추구한다 - 행위를 기록하는 식의 로직

7b64e87741db443f90db9767f9331328

TDD Spy

test double

null

a20ff4d35f3641dfa3bb6a4df0ee5e09

TDD Stub

test double

null

- 호출이되면 미리 준비된 답변으로 응답하는 것 - 테스트시에 프로그램된 것 외에는 응답하지 않는다 - 협력객체의 특정 부분이 테스트하기 힘들 경우 stub을 사용하면 수월하게 테스트할 수 있다 - 일반적으로 우리가 mock으로 잘못 알고있다

f23e82fa666d437ab5c66a7cfedc83d3

Civil Engineering

Engineering Objects

Jun 2, 2022

Alan Jo

Jan 17, 2023

669479d5f2904e83997a43ec727a3a02

Data Engineering

Engineering Objects

May 31, 2021

Alan Jo

Jun 25, 2023

[Data Science](https://texonom.com/data-science-51578659f2ea4b549e1a79bad6a4a389) [Data](https://texonom.com/data-166d4dc8d157453d9e22512ca42f4715) [Workflow Management](https://texonom.com/workflow-management-79efe771bcee42498f04666b84f32d38)

### Data Engineering Notion |Title| |:-:| |[Digitalization](https://texonom.com/digitalization-38b84001c94445c792a40bd663454bb6)| |[Data Processing](https://texonom.com/data-processing-d1b576ef34304e0fa6325db709860e0b)| |[Artificial Intelligence](https://texonom.com/artificial-intelligence-9ffdade545e447dd97adefe1437277cd)| ### Data Engineering Usages |Title| |:-:| |[Data ID](https://texonom.com/data-id-bbd798ea446c45fa9c81f62da8a2b49e)| |[DataBase](https://texonom.com/database-91e235d4592a43289dd14b01fccd1bc2)| |[Data Diffing](https://texonom.com/data-diffing-e73284fe4a33486dafe03e150699c0da)| |[Aggregation](https://texonom.com/aggregation-9ba2b39c3ba24c79b6527176cfc7fec8)|

84eb521959df4f90ae3647e7222c3771

Electrical Engineering

Engineering Objects

Jan 17, 2023

Alan Jo

Jan 17, 2023

## Electronics ### Electrical Engineering Notion |Title| |:-:| |[Electrical Engineering Field](https://texonom.com/electrical-engineering-field-769102b7cc6f4daca1da19f02d7c3b18)| > [Low Power Multimedia Reconfigurable Platforms - ppt download](https://slidesplayer.org/slide/13393314/)

843d7bffc1fc4986aab63dd955f2f4bc

Environmental Engineering

Engineering Objects

Mar 9, 2021

Alan Jo

Sep 1, 2023

### 지속 가능한 에너지가 지구와 인류에 좋기 때문 그거 말고는 없다 생명체를 생각하는 환경운동가라면 생명체들이 여러 행성에 거주하도록 만드는 게 중요하다 ### Environmental Engineering Techs |Title| |:-:| |[Carbon Capture](https://texonom.com/carbon-capture-e6d82eb6d922442cbdf78fe9250f62dc)| |[green hydrogen](https://texonom.com/green-hydrogen-6289c01e38e543c09ff492af61851283)| |[Sanitary Engineering](https://texonom.com/sanitary-engineering-7c6f5ea3b46048788b1b21b075c82e0d)|

79156979720d4dad87dfe6090072ad72

Hardware Engineering

Engineering Objects

May 23, 2021

Alan Jo

Mar 28, 2023

[Manufacture Industry](https://texonom.com/manufacture-industry-64a880a27a394fd58d608a6dc5ab694d) [Software Engineering](https://texonom.com/software-engineering-1cb03171ca394483a79fba8797b55661) [Formfactor Industry](https://texonom.com/formfactor-industry-3804ee925171461987796f81da19da61)

## Hardware never be free ### Hardware Engineering Objects |Title| |:-:| |[Architecture Engineering](https://texonom.com/architecture-engineering-51b3c2360a0a421ca28c8fbc7f473f4d)| |[Quantum Engineering](https://texonom.com/quantum-engineering-831222b701944dfe818978b84dc794ae)| |[Robotics](https://texonom.com/robotics-1c93b96b04a8423688234837d30ff35e)| |[Battery Engineering](https://texonom.com/battery-engineering-3fa3520130b64dc0854b3f3aad5a2dcb)| |[Signal engineering](https://texonom.com/signal-engineering-fab43bd4e1644e218e39c49ad5d5a2c2)| |[Thermal engineering](https://texonom.com/thermal-engineering-7887f9ce3a934abab37142bd266f42f9)| |[Embedded Engineering](https://texonom.com/embedded-engineering-1caaa9ac6df9425db23b79e2bdbe296c)| |[Sensor Engineering](https://texonom.com/sensor-engineering-2ed1fbf70de34b1c9f65d50375fc2430)| |[Thermal Engineering](https://texonom.com/thermal-engineering-593a639a2a9144e79594af2e1440d9ad)| |[Material Engineering](https://texonom.com/material-engineering-cf748e5127f6414ab5de136b5eb29707)| |[Computer Architecture](https://texonom.com/computer-architecture-a859f0d62c1a49daab60e7e202332f6e)| |[IoT](https://texonom.com/iot-04738af396d145a986f5013896f3be49)| |[Cyber Physical System](https://texonom.com/cyber-physical-system-ca516e7c06ae47d289346daa19b7fcff)| |[Geo Engineering](https://texonom.com/geo-engineering-d6acb0ddf49e400f8a4117a52a6c8f6e)| ### Hardware Objects |Title| |:-:| |[settopbox](https://texonom.com/settopbox-d3988ab23aa94c2c8c3df907429311d3)| |[Selector](https://texonom.com/selector-c461fc5dca12404b9e9e21ffd60fc197)| |[Hardware Interface](https://texonom.com/hardware-interface-b32d27536187417ebca55628cd8ea492)| |[HCI](https://texonom.com/hci-dd1604d86d104af38a94c2dc48bd7a1f)| |[TPM](https://texonom.com/tpm-48491d01721149b8b57712e141081071)| |[TWS](https://texonom.com/tws-a113809a99a64dceb324511719111707)| |[Data Transmission](https://texonom.com/data-transmission-fa0d2e118c9e493fa80769dcb90d8bfd)| |[Data Storage](https://texonom.com/data-storage-6dd6012a208345b2a54a7c892dd78313)| |[Computer](https://texonom.com/computer-aac77afeb1874c21b05c833a53c5c0c3)| |[Semiconductor](https://texonom.com/semiconductor-d3947c74c1fd43a4a7004cdf5e1251d7)| |[Transiter](https://texonom.com/transiter-7e8d85878ce8450a9d25d067d957b03e)| |[Telephone](https://texonom.com/telephone-e1eec7fdfc454a63a1facd8baccb02ea)| |[Gyroscope](https://texonom.com/gyroscope-ebef02931f5a4aa0a349a79fd05d1edb)| |[Engine](https://texonom.com/engine-8d14437209844b2f88583370039654f5)| |[Machine](https://texonom.com/machine-4fc9df5f3cec45faa9cee285c3cc6fbf)| |[Machining](https://texonom.com/machining-4f29806fdada489fa1e69df49a3a4cdd)|

0ad66a0736d6487d9c9e2b304855b25c

Service Engineering

Engineering Objects

Mar 17, 2022

Alan Jo

Jan 17, 2023

### Service Engineering Notion |Title| |:-:| |[Software Service](https://texonom.com/software-service-534e4c4209d940539ed3c7ad5df7dac1)| |[Service Planning](https://texonom.com/service-planning-93d099c491eb4b6c88ced7e1a0084cd0)| |[Service Management](https://texonom.com/service-management-69f0f726352645ea85222b683794a6e0)| |[Side Project](https://texonom.com/side-project-5d1d19faeaee4f16823972545a0a90e6)| |[Service-level agreement](https://texonom.com/service-level-agreement-ef23b62d86b640049f921b8df176f539)|

c121dac6285f4d30a319d90630eae656

Software Engineering

Engineering Objects

May 23, 2021

Alan Jo

May 11, 2023

[Software Industry](https://texonom.com/software-industry-6547c7f3960d4c129cb234c540194ef6) [Engineer](https://texonom.com/engineer-4c83bc156ded44d69c94acd7f76c708d) [Hardware Engineering](https://texonom.com/hardware-engineering-0ad66a0736d6487d9c9e2b304855b25c) [Data Engineering](https://texonom.com/data-engineering-84eb521959df4f90ae3647e7222c3771)

### 지식을 충분히 단순화하지 못해서 쉽게 변화시키지 못하는 몸을 가지면, 고일 수 밖에 없다 ### Software Engineering Notion |Title| |:-:| |[Programming](https://texonom.com/programming-b65cb6e064f64deeaa9c6d9665d10aad)| |[Software Architecture](https://texonom.com/software-architecture-5d3c80f6ffe44d60b10c870903c2b703)| |[SRE](https://texonom.com/sre-d8bf9cf6772d4fffaefacf7f359ceba0)| ### Software Engineering Usages |Title| |:-:| |[Software Object](https://texonom.com/software-object-316acbbf2009456f971b22d7db42c497)| |[Software Accessibility](https://texonom.com/software-accessibility-ba88b1f44d8749b2bfab3042ae30a42b)| |[Software Packing](https://texonom.com/software-packing-ccf29a07d81d4b968acbf998e87da3ad)| |[Software Performance](https://texonom.com/software-performance-c9b0f9245c214ded825dc7dcbcfc54a2)| |[Software Feature](https://texonom.com/software-feature-9179b7baab6c4df7b4bf8feddbaf0bb5)| |[Software Stack](https://texonom.com/software-stack-0ede62560ae04258af13fed809b80b8c)|

1cb03171ca394483a79fba8797b55661

Civil Engineering Field

Civil Engineering Notion

Jun 2, 2022

Alan Jo

Jun 2, 2022

be4c1e09dd24425288e8f3fa1d405a2b

Transportation Engineering

Civil Engineering Fields

Jun 2, 2022

Alan Jo

Jun 2, 2022

[Transit Industry](https://texonom.com/transit-industry-dd37d5da410f4490beeadc210f1f3e49)

### Traffic Engineering ### Transportation Engineering Notion |Title| |:-:|

28869828949a4d0a9e47e293b6d32df8

Artificial Intelligence

Data Engineering Notion

Nov 16, 2019

Alan Jo

Jul 4, 2023

[Data Science](https://texonom.com/data-science-51578659f2ea4b549e1a79bad6a4a389)

### Meta-algorithm that complete themselves through data compression widely-defined AI. So AI is hard to distinguish between complex algorithms In practice, AI is an overlay to technology. It abstract technology and make them easy to use. ### AI Notion |Title| |:-:| |[Machine Learning](https://texonom.com/machine-learning-96195e7f57d74bcf9e8719a53394e421)| |[AI Term](https://texonom.com/ai-term-efdba1a724a44b53a7901c1848c35c20)| |[AI Model](https://texonom.com/ai-model-0788b8b1a3ec4911a5fd242ff3289991)| |[AI Problem](https://texonom.com/ai-problem-75589b92c7d546e488b4766e8edfa47d)| ### AI Usages |Title| |:-:| |[AI Development](https://texonom.com/ai-development-94a4b3b469b5439aaa03a669f894e3c8)| |[AI Object](https://texonom.com/ai-object-e69c83e69fd34103a83c1341b65158be)| |[AI Industry](https://texonom.com/ai-industry-d8709bd0498145e3a66af6da3f963fa7)| |[AI Data](https://texonom.com/ai-data-dcd9611d8a5647ba95e7bc63a7e6db1f)| |[AI Protocol](https://texonom.com/ai-protocol-be3148d3c1b24b90a4f51020fde30bd6)| ### How AI is Understanding the World ![https://xcorr.net/2022/05/30/large-language-models-will-change-science](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F8a6f33a2-cc99-45ed-a1ea-4f2daf714290%2FUntitled.png?table=block&id=3259c610-e67f-4315-b380-29a2886e347f&cache=v2) ### AI Vision > [Transcript of "What happens when our computers get smarter than we are?"](https://www.ted.com/talks/nick_bostrom_what_happens_when_our_computers_get_smarter_than_we_are/transcript?language=ko) > [왜 최근에 빌 게이츠, 일론 머스크, 스티븐 호킹 등 많은 유명인들이 인공지능을 경계하라고 호소하는가?](https://coolspeed.wordpress.com/2016/01/03/the_ai_revolution_1_korean/?fbclid=IwAR02_gvDnUn5M31RLdauziR2tRX-eXYa-KN_e4mB4O6LWhVyes_2fZbNuW4) > [Layoffs push down scores on Glassdoor: this is how companies respond](https://blog.pragmaticengineer.com/layoffs-push-down-scores-on-glassdoor)

9ffdade545e447dd97adefe1437277cd

Data Processing

Data Engineering Notion

May 11, 2023

Alan Jo

Jun 2, 2023

[Digitalization](https://texonom.com/digitalization-38b84001c94445c792a40bd663454bb6) [Stream Processing](https://texonom.com/stream-processing-1fc4a9c49c144806922512b26c0d8231)

- Zero centering ([Bias](https://texonom.com/bias-ba063cd622a54deb8a677e8fb87dfdc8) ) - Normalization - Data Augmentation ### Data Processing Methods |Title| |:-:| |[Signal Processing](https://texonom.com/signal-processing-c5813c5a16644a3fa256468aa4f8eda8)| |[Computer Vision](https://texonom.com/computer-vision-d2f788d268fa40da8311a2d81094a2d1)| |[Computer Graphics](https://texonom.com/computer-graphics-1bd0b5acf2cf443c871843b652747936)| |[Video Processing](https://texonom.com/video-processing-6a90642de00d46ef86da1ed7ce6ff847)| |[Image Processing](https://texonom.com/image-processing-d5c5127d67704392abafeb90961f468e)| |[Big Data](https://texonom.com/big-data-236ec9f0ed844f4d8a5ca3236dfa442c)| ### Data Processing Usages |Title| |:-:| |[OLAP](https://texonom.com/olap-9c6d537babc8469da668185143ae0076)| |[ETL](https://texonom.com/etl-7568cb0a7c184abfb1bcec69828d1643)| |[ELT](https://texonom.com/elt-1b6c98bfcdf5485db0ae17ceff340f3d)|

d1b576ef34304e0fa6325db709860e0b

Digitalization

Data Engineering Notion

May 11, 2023

Alan Jo

May 11, 2023

### Digitalization Phases |Title| |:-:| |[Data Sampling](https://texonom.com/data-sampling-306f8190c55c47578e818b4b303bc8fd)| |[Data Quantization](https://texonom.com/data-quantization-77eb7920497d4f40aee6a2603b98b561)|

38b84001c94445c792a40bd663454bb6

AI Model

AI Notion

Mar 1, 2021

Alan Jo

Jun 4, 2023

### AI Model Notion |Title| |:-:| |[Model Generalization](https://texonom.com/model-generalization-0a2de5c4578c47dd9a5dc1b83fbaf72b)| |[Model Regularization](https://texonom.com/model-regularization-33936588cdef4041a94d0846c43ada98)| |[Model Optimization](https://texonom.com/model-optimization-534986019c1e4460bc6c6a7456b1c989)| |[AI Model Deployment](https://texonom.com/ai-model-deployment-5ec65cde28d845ea84162fcf8cf3dd7d)|

0788b8b1a3ec4911a5fd242ff3289991

AI Problem

AI Notion

Jun 25, 2023

Alan Jo

Jul 28, 2023

### AI Problems |Title| |:-:| |[AI Alignment](https://texonom.com/ai-alignment-f676f1a29ffd45e19b3d170afa4f2244)| |[Catastrophic interference](https://texonom.com/catastrophic-interference-a23bbe7dc53f4275bf33585c72bdb7c2)| |[Winograd schema](https://texonom.com/winograd-schema-88d031934ad54778835cbadbd7409d80)| |[AI Hacking](https://texonom.com/ai-hacking-80b1aed302bb4a5c9b8ae0213b9a246f)|

75589b92c7d546e488b4766e8edfa47d

AI Term

AI Notion

Sep 5, 2020

Alan Jo

Jul 4, 2023

### AI Terms |Title| |:-:| |[Technological singularity](https://texonom.com/technological-singularity-4a2e2f5be15a4947ab1515a9ea8e1903)| |[AGI](https://texonom.com/agi-38ec1ab5796f472ca4475676519e29c1)| |[Super Intelligence](https://texonom.com/super-intelligence-b057e644731546d9b39cb41939d36712)| |[4차 인간](https://texonom.com/4-26cf5d3b26e94020a6fc6de2d34a15f6)| |[Turing Test](https://texonom.com/turing-test-db633c61340449c4bf0143b06fe981c0)| |[Explainable AI](https://texonom.com/explainable-ai-e1b35d4b9a6342dc863578350a7b4325)| |[Adaptive AI](https://texonom.com/adaptive-ai-4efa0c042d244228a870d4c70b8f2d26)| |[Transfer Learning](https://texonom.com/transfer-learning-442feb66465944eebf144d4e9dd1dbf8)| ### Notion > [인공지능 이야기 2 - 기호주의와 연결주의](https://pgr21.com/pb/pb.php?id=freedom&no=57391)

efdba1a724a44b53a7901c1848c35c20

Machine Learning

AI Notion

Nov 5, 2019

Alan Jo

Seong-lae Cho

Jul 6, 2023

[Learning](https://texonom.com/learning-9466b437cb9e4ddba3afcf2a43744e5f) [Statistics](https://texonom.com/statistics-561b1e8231f44a45bb6284033db682fb) [AI Data](https://texonom.com/ai-data-dcd9611d8a5647ba95e7bc63a7e6db1f) [Analysis](https://texonom.com/analysis-5cc376f4888942a89adb9e7d74e72900)

### Find the most likely [Statistical Model](https://texonom.com/statistical-model-2dcba57e60b44272a4bdf0d0dbbee68b) 언어와 시각적 모두 가리기를 토한 자가지도학습이 현재로서 지능 생성의 최적의 방법 강화학습과 지도학습은 시행에 따른 지적 정보 형성 효율이 너무 적다 (자기주도형 학습) 아이들도 실제로 지도학습이나 강화학습보다 **관찰**을 통해 자신의 world model을 만든다 ### Machine Learning Notion |Title| |:-:| |[Machine Learning Theory](https://texonom.com/machine-learning-theory-c69317fb5dc24f05a29532fa27d27cb1)| |[Inductive Learning](https://texonom.com/inductive-learning-b4088c5d69514827aa95fcf12c0daaa9)| |[AI Ensemble](https://texonom.com/ai-ensemble-03bf3a1926dd46f18400b5830d8fdf0b)| |[Transduction Learning](https://texonom.com/transduction-learning-1ff573898b0b46f782e199870952ddad)| |[Discriminative Learning](https://texonom.com/discriminative-learning-6c8fa85172824233934d62cc217871f4)| |[Generative Learning](https://texonom.com/generative-learning-63566344cc974563bcd76131207267f9)| |[Progressive Learning](https://texonom.com/progressive-learning-46a222e83bc64bd49f4c44c3d0519fdb)| ### Machine Learning Usages |Title| |:-:| |[Learn Machine Learning](https://texonom.com/learn-machine-learning-1c6270ed8f544e52b0fa19044a459c6a)| |[Neural Network](https://texonom.com/neural-network-86f54f9f1de848c1a29c56c24f7d5094)| |[Machine Learning Method](https://texonom.com/machine-learning-method-4d27fd7ddf4247e6b98df2ac09c2e25a)| |[Machine Learning Tool](https://texonom.com/machine-learning-tool-4183d7b4a9d44149932142731c91ca1d)| |[ML Meta Algorithm](https://texonom.com/ml-meta-algorithm-29290f722f8c442a9e8c9a3528420be1)| |[Machine Unlearning](https://texonom.com/machine-unlearning-7b6060981f15488e8708533a77b88a2d)| ### [Jeff Dean](https://texonom.com/jeff-dean-dd38bba08cea419eb45e1029e7c3aa15) > [Jeff Dean: AI isn't as smart as you think -- but it could be | TED](https://www.youtube.com/watch?v=J-FzHIQ7SOs) > [(Jpn) 모두를 위한 인공지능 : Building AI for Everyone | 제프 딘 구글 AI 총괄 시니어 펠로우 | 인공지능 AI 머신러닝 | 세바시 949회](https://www.youtube.com/watch?v=BKj3fnPSUIQ)

96195e7f57d74bcf9e8719a53394e421

AI Model Deployment

AI Model Notion

Apr 17, 2023

Alan Jo

Jul 20, 2023

[Model Optimization](https://texonom.com/model-optimization-534986019c1e4460bc6c6a7456b1c989)

### Model Deployment Tools |Title| |:-:| |[Streamlit](https://texonom.com/streamlit-9e295c64d27e4999878a022b1c538964)| |[Gradio](https://texonom.com/gradio-7e1647e9bc174161b4d7e8f44dd53707)| |[BentoML](https://texonom.com/bentoml-3f95eb2491994c149c921fdff6652246)| |[Truss](https://texonom.com/truss-9ab53c8054db48e3834046908dd99093)| |[TensorIR](https://texonom.com/tensorir-f594e392458d4772a997767a34eaf0d6)| ### LLM > [Ask HN: How are you improving your use of LLMs in production? | Hacker News](https://news.ycombinator.com/item?id=36787924)

5ec65cde28d845ea84162fcf8cf3dd7d

Model Generalization

AI Model Notion

May 2, 2023

Alan Jo

Jun 13, 2023

[AI Data](https://texonom.com/ai-data-dcd9611d8a5647ba95e7bc63a7e6db1f) [Loss Function](https://texonom.com/loss-function-e8f6343914494828988137987cf459f9) [Model Regularization](https://texonom.com/model-regularization-33936588cdef4041a94d0846c43ada98)

### model’s capability to adapt properly to new/unseen data model complexity → high variance in test data Model has family set of structure made by training datasets which can be ![](https://www.notion.so/image/https%3A%2F%2Fs3-us-west-2.amazonaws.com%2Fsecure.notion-static.com%2F9f406838-555a-42c5-8688-444bcbc4afa2%2FUntitled.png?table=block&id=c86e04a0-7611-4330-a922-a350c95636c3&cache=v2) ### Model Generalization Notion |Title| |:-:| |[Pre Training](https://texonom.com/pre-training-0d81c286e86f4dcba940d3c849631b35)| |[Overfitting](https://texonom.com/overfitting-24c3b183372845e8999ad7f7a0ba5035)| |[Underfitting](https://texonom.com/underfitting-e56067d23ba8404a8e5165085986c9aa)| |[Fine Tuning](https://texonom.com/fine-tuning-52215d8477ad46e3896a29e2fa408991)| |[Generalization Gap](https://texonom.com/generalization-gap-d8b4ec347e7d4df282ea96a093e7581f)|

0a2de5c4578c47dd9a5dc1b83fbaf72b

Model Optimization

AI Model Notion

Jun 4, 2023

Alan Jo

Jun 4, 2023

### Model Optimization Notion |Title| |:-:| |[Knowledge Distillation](https://texonom.com/knowledge-distillation-d5f32ad3da32434892a9765d68d31542)| |[Model Quantization](https://texonom.com/model-quantization-88320068bdd94ddab6f44c0c7d66de31)| |[Model Optimizer](https://texonom.com/model-optimizer-fcac7c38aa0647afb911eb84ff610ab1)|

534986019c1e4460bc6c6a7456b1c989

Model Regularization

AI Model Notion

May 9, 2023

Alan Jo

Jun 7, 2023

[Model Generalization](https://texonom.com/model-generalization-0a2de5c4578c47dd9a5dc1b83fbaf72b) [Loss Function](https://texonom.com/loss-function-e8f6343914494828988137987cf459f9) [Learning Rate](https://texonom.com/learning-rate-c9a29280131f4f95a6191bde244f6789)

We can calculate model complexity by compute norm of parameters $$L = L_{data} + L_{reg}$$ ### Model Regularization Notion |Title| |:-:| |[Regularized Loss](https://texonom.com/regularized-loss-3d5b08feb6604023988d748b78650af7)| |[Model Regularizer](https://texonom.com/model-regularizer-19ff79e831de47d88bd5f9ec496ef11f)| |[Model Regularization Parameter](https://texonom.com/model-regularization-parameter-641d1784e1f243818d51cc66541e3f21)| |[Model Complexity](https://texonom.com/model-complexity-0975b8ae1d4e4d83bbab43a145011b95)| |[Weight Decay](https://texonom.com/weight-decay-e69932d6128f4677a219a626db462172)| |[Sparsity of the Model](https://texonom.com/sparsity-of-the-model-80d3dc9702704c03bf7bfd9074d19829)| |[Drop-out](https://texonom.com/drop-out-596f55ab03f64e11bf6d02464465dd54)|

33936588cdef4041a94d0846c43ada98

BentoML

Model Deployment Tools

Dec 5, 2021

Alan Jo

Jun 27, 2023

[bentoctl](https://texonom.com/bentoctl-9eeed1d5604c4d0aae2b1864ec3b563b) [OpenLLM](https://texonom.com/openllm-ef8006a6f21c40f785edaaef0c0415c1) > [이수진의 블로그](https://lsjsj92.tistory.com/621) > [BentoML: Simplify Model Deployment](https://www.bentoml.com/)

3f95eb2491994c149c921fdff6652246

Gradio

Model Deployment Tools

May 11, 2022

Alan Jo

Jun 11, 2023

[gradio](https://github.com/gradio-app/gradio)

7e1647e9bc174161b4d7e8f44dd53707

Streamlit

Model Deployment Tools

Jan 16, 2022

Alan Jo

Aug 8, 2023

[streamlit](https://github.com/streamlit/streamlit)

### Streamlit Usages |Title| |:-:| |[Streamlit UI](https://texonom.com/streamlit-ui-4d1410d0bdb54e1ba4512e03f500b0b7)| |[Streamlit Cloud](https://texonom.com/streamlit-cloud-8c045600c4314f6382bd3c05358dd2ba)| |[Streamlit Caching](https://texonom.com/streamlit-caching-a22ccb53e76349dc9ccf31b616d84083)| |[Streamlit Widget](https://texonom.com/streamlit-widget-c4cd30e860ad4f8487ef2f4fcae564e6)| ### Streamlit Chatbot [llm-examples](https://github.com/streamlit/llm-examples) > [Chatbot](https://llm-examples.streamlit.app/) ### Docs > [Installation - Streamlit Docs](https://docs.streamlit.io/library/get-started/installation) > [streamlit-async_demo.py](https://gist.github.com/wfng92/0cc6673e9ce4e8b880e6a38c134ed0cf)

9e295c64d27e4999878a022b1c538964

****TensorIR****

Model Deployment Tools

Apr 17, 2023

Alan Jo

May 8, 2023

> [TensorIR: An Abstraction for Automatic Tensorized Program Optimization](https://arxiv.org/abs/2207.04296)

f594e392458d4772a997767a34eaf0d6

Truss

Model Deployment Tools

Aug 1, 2022

Alan Jo

May 8, 2023

[truss](https://github.com/basetenlabs/truss)

9ab53c8054db48e3834046908dd99093

bentoctl

BentoML

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- [AWS EC2](https://texonom.com/aws-ec2-a2ddfd8911b843628f344b4f039eb741) - [GCP Cloud Run](https://texonom.com/gcp-cloud-run-3da7cd20b0e24a09b8917f2fc595d7b6) - [GCP Compute Engine](https://texonom.com/gcp-compute-engine-3c67ca7801ad4e6998b3e4da3c7160b2) - [Heroku](https://texonom.com/heroku-00c0b59b665f43009553ce8aaad86270) [bentoctl](https://github.com/bentoml/bentoctl)

9eeed1d5604c4d0aae2b1864ec3b563b

OpenLLM

BentoML

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[OpenLLM](https://github.com/bentoml/OpenLLM) [LangChain](https://texonom.com/langchain-945567c597364cbb98336ca08c059856)

ef8006a6f21c40f785edaaef0c0415c1

[text-generation-webui](https://github.com/oobabooga/text-generation-webui)

Gradio Usages

Jun 11, 2023

Alan Jo

Jun 11, 2023

9cf4a08beb80403e9f58d3dd63f57421