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[[File:DALL·E 2024-01-06 13.58.36 - Logo for a website named 'Infocepo.com', focusing on cloud computing, AI, IT SRE salaries, and best practices in open source. The design should be mod.png|thumb|right]]
[[File:Infocepo-illustration.jpg|thumb|right]]
'''Discover cloud computing on infocepo.com''':
'''Discover cloud computing on infocepo.com''':
* Master cloud infrastructure
* Master cloud infrastructure
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<br>
<br>
== AI Tools ==
== AI Tools ==
*[https://chat.openai.com ChatGPT4] - public assistant with learning abilities.
* [https://chat.openai.com ChatGPT4] - Public assistant with learning abilities.
*[https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard LLM] + [https://www.scaleway.com/en/h100-pcie-try-it-now/ GPU H100] + [https://ollama.com Ollama] - private assistant and API.
* [https://github.com/open-webui/open-webui open-webui] + [https://www.scaleway.com/en/h100-pcie-try-it-now/ GPU H100] + [https://ollama.com Ollama] - Private assistant and API.
*[https://github.com/lm-sys/FastChat/blob/main/docs/langchain_integration.md LANGCHAIN] - [https://www.anyscale.com/blog/a-comprehensive-guide-for-building-rag-based-llm-applications-part-1#embed-data RAG] and automation.
* [https://github.com/ynotopec/summarize Private summary]
*[https://github.com/ynotopec/summarize private summary]


=== DEV ===
=== DEV ===
*[https://huggingface.co/models Models Trending]
(28/08/2024)
*[https://github.com/trending Project Trending]
* [https://ollama.com/library LLM Trending]
*[https://chat.lmsys.org ChatBot Evaluate]
* [https://github.com/search?q=stars%3A%3E15000+forks%3A%3E1500+created%3A%3E2022-06-01&type=repositories&s=updated&o=desc Project Trending]
*[https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard LLM Ranking]
* [https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard LLM Ranking]
*[https://huggingface.co/spaces/mteb/leaderboard Embeddings Ranking]
* [https://chat.lmsys.org ChatBot Evaluate]
*[https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena Image Evaluate]
* [https://www.perplexity.ai Perplexity AI] - R&D
*[https://www.perplexity.ai Perplexity AI] - R&D
* [https://huggingface.co/models Models Trending]
*[https://github.com/THUDM/CogVLM CogVLM] - Private API for multimodal purposes. Usable with RAG.
* [https://github.com/hiyouga/LLaMA-Factory LLM Fine Tuning]
*[https://ann-benchmarks.com Vectors DB Ranking]
* [https://huggingface.co/spaces/mteb/leaderboard Embeddings Ranking]
*[https://github.com/chatchat-space/Langchain-Chatchat Chatchat] - private assistant with RAG capabilities but Chinese language.
* [https://ann-benchmarks.com Vectors DB Ranking]
*[https://www.nvidia.com/en-us/data-center/h200 NVIDIA H200] - KUBERNETES or HPC clusters for DATASCIENCE.
* [https://www.nvidia.com/en-us/data-center/h100/ NVIDIA H100] - KUBERNETES or HPC clusters for DATASCIENCE.
*[https://www.nvidia.com/fr-fr/geforce/graphics-cards/40-series/rtx-4070-family NVIDIA 4070] - GPU card for private assistance.
* [https://www.nvidia.com/fr-fr/geforce/graphics-cards/40-series/rtx-4080-family NVIDIA 4080] - GPU card for private assistance.
==== INTERESTING LLMs (updated 15/02/2024) ====
* [https://huggingface.co/models?pipeline_tag=image-text-to-text&sort=trending Img2txt Trending]
* Vicuna-33B (private assistant)
* [https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena Txt2img Evaluate]
* HanNayeoniee/LHK_DPO_v1 (32k, RAG)
* [https://github.com/chatchat-space/Langchain-Chatchat Chatchat] - Private assistant with RAG capabilities in Chinese.
* Vicuna-7B (summary)
* [https://top500.org/lists/green500/ HPC Efficiency]
* cognitivecomputations/dolphin-2.2.1-mistral-7b (processing text)
 
* HuggingFaceH4/zephyr-7b-beta (efficient)
==== INTERESTING LLMs ====
* FastChat-T5-3B (small devices)
(28/08/2024)
{| class="wikitable"
! Model
! Comment
|-
| '''RAG'''
| (gemma2-27b), $$
|-
| '''RAG-FR'''
| (glm4)
|-
| '''code'''
| (gemma2-27b), $$
|-
| '''math'''
| (gemma2-27b), $$
|-
| '''summary'''
| (llama3.1)
|-
| '''gemma2'''
| Fast
|-
| '''gemma2-27b'''
| Medium, best, $$
|-
| '''gemma2'''
| OllamaFunctions
|}


=== NEWS ===
=== NEWS ===
* LLM [https://huggingface.co/01-ai/Yi-34B-200K Yi-34B 200k] for long context available
(04/05/2024)
* Small vision language model [https://huggingface.co/vikhyatk/moondream2 moondream2] for embedded systems. Not yet available under Ollama
* [https://www.youtube.com/@lev-selector/videos Very good AI News]
* For the [https://betterprogramming.pub/color-your-captions-streamlining-live-transcriptions-with-diart-and-openais-whisper-6203350234ef '''transcription'''] real time with Diart it is possible to follow the interlocutors
* For the [https://betterprogramming.pub/color-your-captions-streamlining-live-transcriptions-with-diart-and-openais-whisper-6203350234ef '''transcription'''] in real time with Diart, it is possible to follow the interlocutors.
* The [https://python.langchain.com/docs/integrations/chat/openai '''OpenAI library'''] seems preferable to LiteLLM with LANGCHAIN to not have text breakage
* [https://github.com/openai-translator/openai-translator Translation] tools like Google Translate are becoming popular.
* [https://github.com/openai-translator/openai-translator translation] tools like Google translate are becoming popular
* [https://www.mouser.fr/ProductDetail/BittWare/RS-GQ-GC1-0109?qs=ST9lo4GX8V2eGrFMeVQmFw%3D%3D '''LLM 10x accelerator'''] and cheaper with GROQ.
* Claude 3 beats ChatGPT4? (with these [https://infocepo.com/wiki/index.php/Enigme Enigmes], no)
* [https://opensearch.org/docs/latest/search-plugins/conversational-search Opensearch with LLM]
* LLM 10 times cheaper with GROQ?
* [https://opensearch.org/docs/latest/search-plugins/conversational-search Opensearch with RAG]
*Mistral-new
*HanNayeoniee/LHK_DPO_v1 13b (processing)
*ACCEL : vision IA chip very efficient and powerful.
*IBM NorthPole : an IA chip very efficient and powerful.


=== TRAINING ===
=== TRAINING ===
*[https://www.youtube.com/watch?v=4Bdc55j80l8 TRANSFORMERS ALGORITHM]
* [https://www.youtube.com/watch?v=4Bdc55j80l8 TRANSFORMERS ALGORITHM]
 
=== Cloud Native Install ===
* [https://github.com/ynotopec/gpu-cluster GPU cluster]
* [https://github.com/ynotopec/llm-k8s LLM API]
[[File:AI-API.drawio.png]]


== CLOUD LAB ==
== CLOUD LAB ==
[[file:Infocepo.drawio.png]]
[[File:Infocepo.drawio.png]]
<br><br>
<br><br>
Presenting my [[LAB project]].
Presenting my [[LAB project]].
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== CLOUD Migration Example ==
== CLOUD Migration Example ==
[[File:Diagram-migration-ORACLE-KVM-v2.drawio.png]]
[[File:Diagram-migration-ORACLE-KVM-v2.drawio.png]]
*1.5d: Infrastructure audit of 82 services ([https://infocepo.com/wiki/index.php/ServerDiff.sh ServerDiff.sh])
* 1.5d: Infrastructure audit of 82 services ([https://infocepo.com/wiki/index.php/ServerDiff.sh ServerDiff.sh])
 
* 1.5d: Create cloud architecture diagram.
*1.5d: Create cloud architecture diagram
* 1.5d: Compliance check of 2 clouds (6 hypervisors, 6TB memory).
 
* 1d: Cloud installations.
*1.5d: Compliance check of 2 clouds (6 hypervisors, 6TB memory)
* 0.5d: Stability check.
 
*1d: Cloud installations


*.5d: Stability check
{| style="border-spacing:0;width:18.12cm;"
{| style="border-spacing:0;width:18.12cm;"
|- style="background-color:#ffc000;border:0.05pt solid #000000;padding:0.049cm;"
|- style="background-color:#ffc000;border:0.05pt solid #000000;padding:0.049cm;"
Line 91: Line 104:
| style="background-color:#d8e4bc;border:0.05pt solid #000000;padding:0.049cm;color:#000000;" |  
| style="background-color:#d8e4bc;border:0.05pt solid #000000;padding:0.049cm;color:#000000;" |  
|-
|-
| style="border:0.05pt solid #000000;padding:0.049cm;color:#000000;" | Power off simultaneous all nodes. Power on simultaneous all nodes.
| style="border:0.05pt solid #000000;padding:0.049cm;color:#000000;" | Power off all nodes simultaneously. Power on all nodes simultaneously.
| style="border:0.05pt solid #000000;padding:0.049cm;color:#000000;" | All resources are started.
| style="border:0.05pt solid #000000;padding:0.049cm;color:#000000;" | All resources are started.
| style="background-color:#d8e4bc;border:0.05pt solid #000000;padding:0.049cm;color:#000000;" |  
| style="background-color:#d8e4bc;border:0.05pt solid #000000;padding:0.049cm;color:#000000;" |  
|-
|-
|}
|}
*1.5d: Cloud automation study
* 1.5d: Cloud automation study.
 
* 1.5d: Develop 6 templates (2 clouds, 2 OS, 8 environments, 2 versions).
*1.5d: Develop 6 templates (2 clouds, 2 OS, 8 environments, 2 versions)
* 1d: Create migration diagram.
* 1.5d: Write 138 lines of migration code ([https://infocepo.com/wiki/index.php/MigrationApp.sh MigrationApp.sh]).
* 1.5d: Process stabilization.
* 1.5d: Cloud vs. old infrastructure benchmark.
* 0.5d: Unavailability time calibration per migration unit.
* 5 min: Load 82 VMs (env, OS, application code, 2 IPs).


*1d: Create migration diagram
Total = 15 man-days.
 
*1.5d: Write 138 lines of migration code ([https://infocepo.com/wiki/index.php/MigrationApp.sh MigrationApp.sh])
 
*1.5d: Process stabilization
 
*1.5d: Cloud vs old infrastructure benchmark
 
*.5d: Unavailability time calibration per migration unit
 
*5min: Load 82 VMs (env, os, application_code, 2 IP)
 
Total = 15 man-days


== WEB Enhancement ==
== WEB Enhancement ==
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* Opt for fast HTTP cache like VARNISH and Apache Traffic Server for large files.
* Opt for fast HTTP cache like VARNISH and Apache Traffic Server for large files.
* Use PROXY with TLS decoder like ENVOY for service compatibility.
* Use PROXY with TLS decoder like ENVOY for service compatibility.
* Consider serverless service for standard runtimes, mindful of potential incompatibilities.
* Consider serverless services for standard runtimes, mindful of potential incompatibilities.
* Employ load balancing or native services for dynamic computing power.
* Employ load balancing or native services for dynamic computing power.
* Use open source STACKs where possible.
* Use open-source STACKs where possible.
* Employ database caches like MEMCACHED.
* Employ database caches like MEMCACHED.
* Use queues when possible.
* Use queues for long batches.
* Use buffers for stability of real streams.
* More information at [https://wikitech.wikimedia.org/wiki/Wikimedia_infrastructure CLOUD WIKIPEDIA] and [https://github.com/systemdesign42/system-design GITHUB].
* More information at [https://wikitech.wikimedia.org/wiki/Wikimedia_infrastructure CLOUD WIKIPEDIA] and [https://github.com/systemdesign42/system-design GITHUB].


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== CLOUD providers ==
== CLOUD providers ==
* [https://cloud.google.com/free/docs/aws-azure-gcp-service-comparison CLOUD providers]
* [https://cloud.google.com/free/docs/aws-azure-gcp-service-comparison CLOUD providers]
== CLOUD INTERNET NETWORK ==
== CLOUD INTERNET NETWORK ==
* [https://global-internet-map-2021.telegeography.com/ CLOUD INTERNET NETWORK]
* [https://global-internet-map-2021.telegeography.com/ CLOUD INTERNET NETWORK]
== CLOUD NATIVE ==
== CLOUD NATIVE ==
* [https://landscape.cncf.io/?fullscreen=yes OFFICIAL STACKS]
* [https://landscape.cncf.io/?fullscreen=yes OFFICIAL STACKS]
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=== Typical Architecture ===
=== Typical Architecture ===


*Dual-room.
* Dual-room.
*IPMI LAN (fencing).
* IPMI LAN (fencing).
*NTP, DNS+DHCP+PXE+TFTP+HTTP (auto-provisioning), PROXY (updates or internal REPOSITORY).
* NTP, DNS+DHCP+PXE+TFTP+HTTP (auto-provisioning), PROXY (updates or internal REPOSITORY).
*Choose 2+ node clusters.
* Choose 2+ node clusters.
*For 2-node, require COROSYNC 2-node config, 10-second staggered closing for stability. But for better stability choose 3+ nodes architecture.
* For 2-node, require COROSYNC 2-node config, 10-second staggered closing for stability. For better stability, choose 3+ nodes architecture.
*Allocate 4GB/base for DB resources. CPU resource requirements generally low.
* Allocate 4GB/base for DB resources. CPU resource requirements are generally low.


=== Typical Service Pattern ===
=== Typical Service Pattern ===
*Multipath
* Multipath
*LUN
* LUN
*LVM (LVM resource)
* LVM (LVM resource)
*FS (FS resource)
* FS (FS resource)
*NFS (FS resource)
* NFS (FS resource)
*User
* User
*IP (IP resource)
* IP (IP resource)
*DNS name
* DNS name
*Process (Process resource)
* Process (Process resource)
*Listener (Listener resource)
* Listener (Listener resource)


== IT wage ==
== HPC ==
*[http://jobsearchtech.about.com/od/educationfortechcareers/tp/HighestCerts.htm Best IT certifications]
[[File:HPC.drawio.png]]
*[https://www.silkhom.com/barometre-2021-des-tjm-dans-informatique-digital/ FREELANCE]
 
*[http://www.journaldunet.com/solutions/emploi-rh/salaire-dans-l-informatique-hays/ IT]
== IT Wage ==
* [http://jobsearchtech.about.com/od/educationfortechcareers/tp/HighestCerts.htm Best IT certifications]
* [https://www.silkhom.com/barometre-2021-des-tjm-dans-informatique-digital FREELANCE]
* [http://www.journaldunet.com/solutions/emploi-rh/salaire-dans-l-informatique-hays IT]


== SRE ==
== SRE ==
* [https://openapm.io SRE]
* [https://openapm.io SRE]
== REDHAT package browser ==
 
* [https://access.redhat.com/downloads/content/package-browser REDHAT package browser]
== REDHAT Package Browser ==
* [https://access.redhat.com/downloads/content/package-browser REDHAT Package Browser]

Latest revision as of 19:08, 17 September 2024

Infocepo-illustration.jpg

Discover cloud computing on infocepo.com:

  • Master cloud infrastructure
  • Explore AI
  • Compare Kubernetes and AWS
  • Advance your IT skills with hands-on labs and open-source software.

Start your journey to expertise.


AI Tools

DEV

(28/08/2024)

INTERESTING LLMs

(28/08/2024)

Model Comment
RAG (gemma2-27b), $$
RAG-FR (glm4)
code (gemma2-27b), $$
math (gemma2-27b), $$
summary (llama3.1)
gemma2 Fast
gemma2-27b Medium, best, $$
gemma2 OllamaFunctions

NEWS

(04/05/2024)

TRAINING

CLOUD LAB

Infocepo.drawio.png

Presenting my LAB project.

CLOUD Audit

Created ServerDiff.sh for server audits. Enables configuration drift tracking and environment consistency checks.

CLOUD Migration Example

Diagram-migration-ORACLE-KVM-v2.drawio.png

  • 1.5d: Infrastructure audit of 82 services (ServerDiff.sh)
  • 1.5d: Create cloud architecture diagram.
  • 1.5d: Compliance check of 2 clouds (6 hypervisors, 6TB memory).
  • 1d: Cloud installations.
  • 0.5d: Stability check.
ACTION RESULT OK/KO
Activate maintenance for n/2-1 nodes or 1 node if 2 nodes. All resources are started.
Un-maintenance all nodes. Power off n/2-1 nodes or 1 node if 2 nodes, different from the previous test. All resources are started.
Power off all nodes simultaneously. Power on all nodes simultaneously. All resources are started.
  • 1.5d: Cloud automation study.
  • 1.5d: Develop 6 templates (2 clouds, 2 OS, 8 environments, 2 versions).
  • 1d: Create migration diagram.
  • 1.5d: Write 138 lines of migration code (MigrationApp.sh).
  • 1.5d: Process stabilization.
  • 1.5d: Cloud vs. old infrastructure benchmark.
  • 0.5d: Unavailability time calibration per migration unit.
  • 5 min: Load 82 VMs (env, OS, application code, 2 IPs).

Total = 15 man-days.

WEB Enhancement

WebModelDiagram.drawio.png

  • Formalize infrastructure for flexibility and reduced complexity.
  • Utilize customer-location tracking name server like GDNS.
  • Use minimal instances with a network load balancer like LVS.
  • Compare prices of dynamic computing services, beware of tech lock-in.
  • Employ efficient frontend TLS decoder like HAPROXY.
  • Opt for fast HTTP cache like VARNISH and Apache Traffic Server for large files.
  • Use PROXY with TLS decoder like ENVOY for service compatibility.
  • Consider serverless services for standard runtimes, mindful of potential incompatibilities.
  • Employ load balancing or native services for dynamic computing power.
  • Use open-source STACKs where possible.
  • Employ database caches like MEMCACHED.
  • Use queues for long batches.
  • Use buffers for stability of real streams.
  • More information at CLOUD WIKIPEDIA and GITHUB.

CLOUD WIKIPEDIA

CLOUD vs HW

Function Kubernetes OpenStack AWS Bare-metal HPC CRM oVirt
Deployment Tools
(Tools used for deployment) 		Helm, YAML, Operator, Ansible, Juju, ArgoCD Ansible, Packer, Terraform, Juju Ansible, Terraform, CloudFormation, Juju Ansible, Shell Scripts xCAT, Clush Ansible, Shell Scripts Ansible, Python, Shell Scripts
Bootstrap Method
(Initial configuration and setup) 		API API, PXE API PXE, IPMI PXE, IPMI PXE, IPMI PXE, API
Router Control
(Routing services) 		API (Kube-router) API (Router/Subnet) API (Route Table/Subnet) Linux, OVS, External Hardware xCAT, External Hardware Linux, External Hardware API
Firewall Control
(Firewall rules and policies) 		Ingress, Egress, Istio, NetworkPolicy API (Security Groups) API (Security Group) Linux Firewall Linux Firewall Linux Firewall API
Network Virtualization
(VLAN/VxLAN technologies) 		Multiple Options VPC VPC OVS, Linux, External Hardware xCAT, External Hardware Linux, External Hardware API
Name Server Control
(DNS services) 		CoreDNS DNS-Nameserver Amazon Route 53 GDNS xCAT Linux, External Hardware API, External Hardware
Load Balancer
(Load balancing options) 		Kube-proxy, LVS (IPVS) LVS Network Load Balancer LVS SLURM Ldirectord N/A
Storage Options
(Available storage technologies) 		Multiple Options Swift, Cinder, Nova S3, EFS, FSx, EBS Swift, XFS, EXT4, RAID10 GPFS SAN NFS, SAN

CLOUD providers

CLOUD INTERNET NETWORK

CLOUD NATIVE

DSO-POC-V3.drawio.png

High Availability (HA) with Corosync+Pacemaker

HA-REF.drawio.png

Typical Architecture

  • Dual-room.
  • IPMI LAN (fencing).
  • NTP, DNS+DHCP+PXE+TFTP+HTTP (auto-provisioning), PROXY (updates or internal REPOSITORY).
  • Choose 2+ node clusters.
  • For 2-node, require COROSYNC 2-node config, 10-second staggered closing for stability. For better stability, choose 3+ nodes architecture.
  • Allocate 4GB/base for DB resources. CPU resource requirements are generally low.

Typical Service Pattern

  • Multipath
  • LUN
  • LVM (LVM resource)
  • FS (FS resource)
  • NFS (FS resource)
  • User
  • IP (IP resource)
  • DNS name
  • Process (Process resource)
  • Listener (Listener resource)

HPC

HPC.drawio.png

IT Wage

SRE

REDHAT Package Browser

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