Main Page: Difference between revisions

From Essential
Jump to navigation Jump to search
 
(2 intermediate revisions by the same user not shown)
Line 1: Line 1:
[[File:Infocepo-picture.png|thumb|right]]
[[File:Infocepo-picture.png|thumb|right|Discover cloud computing on infocepo.com]]
'''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.
= Discover Cloud Computing on infocepo.com =


<br>
Welcome! This portal is designed for IT professionals, engineers, students, and enthusiasts who want to master cloud infrastructure, explore AI tools, and accelerate their IT skills through hands-on labs and open-source solutions.
== AI Tools ==
* [https://chat.openai.com ChatGPT4] - Public assistant with learning abilities.
* [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/ynotopec/summarize Private summary]


=== DEV ===
__TOC__
(28/08/2024)
 
* [https://ollama.com/library LLM Trending]
== Quick Start ==
* [https://github.com/search?q=stars%3A%3E15000+forks%3A%3E1500+created%3A%3E2022-06-01&type=repositories&s=updated&o=desc Project Trending]
* '''Master cloud infrastructure:''' Practical guides and labs
* [https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard LLM Ranking]
* '''Explore artificial intelligence:''' Trends and hands-on tools
* [https://chat.lmsys.org ChatBot Evaluate]
* '''Compare cloud providers:''' Kubernetes, AWS, OpenStack, and more
* [https://www.perplexity.ai Perplexity AI] - R&D
* '''Develop expertise:''' Training, open-source, and real-world projects
* [https://huggingface.co/models Models Trending]
 
* [https://github.com/hiyouga/LLaMA-Factory LLM Fine Tuning]
----
* [https://huggingface.co/spaces/mteb/leaderboard Embeddings Ranking]
 
* [https://ann-benchmarks.com Vectors DB Ranking]
= AI & Cloud Tools =
* [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-4080-family NVIDIA 4080] - GPU card for private assistance.
; '''AI Assistants'''
* [https://huggingface.co/models?pipeline_tag=image-text-to-text&sort=trending Img2txt Trending]
* [https://chat.openai.com ChatGPT4] – Public conversational AI with strong learning capabilities
* [https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena Txt2img Evaluate]
* [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 assistants and self-hosted LLM APIs
* [https://github.com/chatchat-space/Langchain-Chatchat Chatchat] - Private assistant with RAG capabilities in Chinese.
* [https://github.com/ynotopec/summarize Private summary] – Fast, offline summarizer for your data
* [https://top500.org/lists/green500/ HPC Efficiency]
 
; '''Development & Model Tracking'''
* [https://ollama.com/library LLM Trending] – Latest open-source LLMs
* [https://github.com/search?q=stars%3A%3E15000+forks%3A%3E1500+created%3A%3E2022-06-01&type=repositories&s=updated&o=desc Project Trending] – Top trending codebases since 2022
* [https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard LLM Leaderboard] – Community benchmarks
* [https://chat.lmsys.org ChatBot Evaluation] – Compare chatbot performance
* [https://www.perplexity.ai Perplexity AI] – Cutting-edge research and question answering
* [https://huggingface.co/models Models Trending] – Model marketplace
* [https://github.com/hiyouga/LLaMA-Factory LLM Fine Tuning] – Advanced training framework
* [https://huggingface.co/spaces/mteb/leaderboard Embedding Leaderboard] – Ranking for vector search models
* [https://ann-benchmarks.com Vectors DB Ranking] – Database speed and feature comparison
* [https://www.nvidia.com/en-us/data-center/h100/ NVIDIA H100] HPC/AI GPUs for Kubernetes clusters
* [https://www.nvidia.com/fr-fr/geforce/graphics-cards/40-series/rtx-4080-family NVIDIA 4080] – Prosumer GPU for private deployments
* [https://huggingface.co/models?pipeline_tag=image-text-to-text&sort=trending Img2txt Trending] – Vision-language models
* [https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena Txt2img Evaluation] – Compare generative image models
* [https://github.com/chatchat-space/Langchain-Chatchat Chatchat] Private RAG assistant (multi-lingual)
* [https://top500.org/lists/green500/ HPC Efficiency] – Top green supercomputers
 
----
 
== Notable Open LLMs ==
''(Last updated: 25/04/2025)''


==== INTERESTING LLMs ====
(25/04/2025)
{| class="wikitable"
{| class="wikitable"
! Model
! Model !! Description / Notable Features
! Comment
|-
|-
| '''ai-chat'''
| '''ai-chat''' || gemma3-12b, cost efficient
| gemma3-12b, $
|-
|-
| '''ai-chat-hq'''
| '''ai-chat-hq''' || gemma3-27b, higher quality
| gemma3-27b, $$
|-
|-
| '''ai-translate'''
| '''ai-translate''' || gemma2, temperature=0 (deterministic translation)
| gemma2, temperature 0
|-
|-
| '''ai-summary'''
| '''ai-summary''' || qwen2.5, optimized for summarization
| qwen2.5
|-
|-
| '''ai-code'''
| '''ai-code''' || gemma3-27b, advanced code reasoning
| gemma3-27b, $$
|-
|-
| '''ai-code-completion'''
| '''ai-code-completion''' || gemma3-1b, fast code suggestions
| gemma3-1b
|-
|-
| '''ai-parse'''
| '''ai-parse''' || gemma2-simpo, parsing & extraction
| gemma2-simpo
|-
|-
| '''ai-RAG-FR'''
| '''ai-RAG-FR''' || qwen2.5, French RAG applications
| qwen2.5
|-
|-
| '''mannix/gemma2-9b-simpo'''
| '''mannix/gemma2-9b-simpo''' || OllamaFunctions integration
| OllamaFunctions
|}
|}


=== NEWS ===
----
(04/05/2024)
 
* [https://www.youtube.com/@lev-selector/videos Very good AI News]
= Industry News & Trends =
* 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.
 
* [https://github.com/openai-translator/openai-translator Translation] tools like Google Translate are becoming popular.
* [https://www.youtube.com/@lev-selector/videos Top AI News] – Video digest
* [https://www.mouser.fr/ProductDetail/BittWare/RS-GQ-GC1-0109?qs=ST9lo4GX8V2eGrFMeVQmFw%3D%3D '''LLM 10x accelerator'''] and cheaper with GROQ.
* [https://betterprogramming.pub/color-your-captions-streamlining-live-transcriptions-with-diart-and-openais-whisper-6203350234ef Real-time transcription with Diart + Whisper] – Speaker tracking
* [https://opensearch.org/docs/latest/search-plugins/conversational-search Opensearch with LLM]
* [https://github.com/openai-translator/openai-translator OpenAI Translator] – Modern open-source translation
* [https://www.mouser.fr/ProductDetail/BittWare/RS-GQ-GC1-0109?qs=ST9lo4GX8V2eGrFMeVQmFw%3D%3D GROQ LLM accelerator] – Fast, low-cost inference hardware
* [https://opensearch.org/docs/latest/search-plugins/conversational-search Opensearch with LLM] – Enhanced search experiences
 
----


=== TRAINING ===
= Training & Learning =
* [https://www.youtube.com/watch?v=4Bdc55j80l8 TRANSFORMERS ALGORITHM]


== CLOUD LAB ==
* [https://www.youtube.com/watch?v=4Bdc55j80l8 Transformers Explained] – Intro to Transformers algorithm
[[File:Infocepo.drawio.png]]
* Hands-on labs and scripts in the [[LAB project|CLOUD LAB]] below
<br><br>
Presenting my [[LAB project]].


== CLOUD Audit ==
----
Created [[ServerDiff.sh]] for server audits. Enables configuration drift tracking and environment consistency checks.


== CLOUD Migration Example ==
= Cloud Lab & Audit Projects =
[[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: Create cloud architecture diagram.
* 1.5d: Compliance check of 2 clouds (6 hypervisors, 6TB memory).
* 1d: Cloud installations.
* 0.5d: Stability check.


{| style="border-spacing:0;width:18.12cm;"
[[File:Infocepo.drawio.png|400px|Cloud Lab Reference Diagram]]
|- style="background-color:#ffc000;border:0.05pt solid #000000;padding:0.049cm;"
 
| align=center style="color:#000000;" | '''ACTION'''
; '''Lab Project''' 
| align=center style="color:#000000;" | '''RESULT'''
Experiment with high-availability, cloud migration, and audit automation.
| align=center style="color:#000000;" | '''OK/KO'''
 
=== Cloud Audit ===
* '''[[ServerDiff.sh]]''' – Bash script for auditing servers, tracking config drift, and checking environment consistency
 
=== Cloud Migration Example ===
[[File:Diagram-migration-ORACLE-KVM-v2.drawio.png|400px|Cloud Migration Diagram]]
 
{| class="wikitable"
! Task !! Description !! Duration (days)
|-
| Audit infrastructure || 82 services, automated via ServerDiff.sh || 1.5
|-
| Diagram cloud architecture || Visual design || 1.5
|-
|-
| style="border:0.05pt solid #000000;padding:0.049cm;color:#000000;" | Activate maintenance for n/2-1 nodes or 1 node if 2 nodes.
| Compliance check || 2 clouds, 6 hypervisors, 6TB RAM || 1.5
| 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="border:0.05pt solid #000000;padding:0.049cm;color:#000000;" | Un-maintenance all nodes. Power off n/2-1 nodes or 1 node if 2 nodes, different from the previous test.
| Install cloud platforms || Deploy core cloud environments || 1.0
| 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="border:0.05pt solid #000000;padding:0.049cm;color:#000000;" | Power off all nodes simultaneously. Power on all nodes simultaneously.
| Stability check || Early operations || 0.5
| 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;" |
|-
|-
| Automation study || Automate deployment/tasks || 1.5
|-
| Develop templates || 6 templates, 8 envs, 2 clouds/OS || 1.5
|-
| Migration diagram || Process illustration || 1.0
|-
| Write migration code || 138 lines (see MigrationApp.sh) || 1.5
|-
| Process stabilization || Ensure repeatable migration || 1.5
|-
| Cloud benchmarking || Performance test vs legacy || 1.5
|-
| Downtime calibration || Per-migration time calculation || 0.5
|-
| VM loading || 82 VMs: OS, code, 2 IPs each || 0.1
|-
! colspan=2 align="right"| '''Total''' !! 15 man-days
|}
|}
* 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 ([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).


Total = 15 man-days.
==== Stability check ====


== WEB Enhancement ==
{| class="wikitable"
[[File:WebModelDiagram.drawio.png]]
! Action !! Expected Result
|-
| Power off one node || All resources started
|-
| Power off/on all nodes simultaneously || All resources started
|}
 
----
 
= Web Infrastructure & Best Practices =
 
[[File:WebModelDiagram.drawio.png|400px|Web Architecture Reference]]
 
* Favor minimal, flexible infrastructure
* Track customer location via GDNS or similar
* Use network load balancers (LVS, IPVS) for scaling
* Compare prices and beware of vendor lock-in
* For TLS: use HAProxy for fast frontend, Envoy for compatibility
* Caching: Varnish, Apache Traffic Server for large content
* Prefer open-source stacks and database caches (e.g. Memcached)
* Use message queues and buffers for workload smoothing
* For more examples: [https://wikitech.wikimedia.org/wiki/Wikimedia_infrastructure Wikimedia Cloud Architecture], [https://github.com/systemdesign42/system-design System Design GitHub]


* 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 [https://wikitech.wikimedia.org/wiki/Wikimedia_infrastructure CLOUD WIKIPEDIA] and [https://github.com/systemdesign42/system-design GITHUB].


== CLOUD WIKIPEDIA ==
= Major Cloud Platforms: Feature Comparison =
* [https://wikitech.wikimedia.org/wiki/Wikimedia_infrastructure CLOUD WIKIPEDIA]


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


== CLOUD providers ==
----
* [https://cloud.google.com/free/docs/aws-azure-gcp-service-comparison CLOUD providers]
 
= Useful Cloud & IT Links =


== CLOUD INTERNET NETWORK ==
* [https://cloud.google.com/free/docs/aws-azure-gcp-service-comparison Cloud Providers Compared]
* [https://global-internet-map-2021.telegeography.com/ CLOUD INTERNET NETWORK]
* [https://global-internet-map-2021.telegeography.com/ Global Internet Topology Map]
* [https://landscape.cncf.io/?fullscreen=yes CNCF Official Landscape]
* [https://wikitech.wikimedia.org/wiki/Wikimedia_infrastructure Wikimedia Cloud Wiki]
* [https://openapm.io OpenAPM – SRE Tools]
* [https://access.redhat.com/downloads/content/package-browser RedHat Package Browser]
* [https://www.silkhom.com/barometre-2021-des-tjm-dans-informatique-digital Freelance IT Rates]
* [https://www.glassdoor.fr/salaire/Hays-Salaires-E10166.htm IT Salaries (Glassdoor)]


== CLOUD NATIVE ==
----
* [https://landscape.cncf.io/?fullscreen=yes OFFICIAL STACKS]
* DevSecOps :
[[File:DSO-POC-V3.drawio.png]]


== High Availability (HA) with Corosync+Pacemaker ==
= Advanced: High-Availability, HPC & DevSecOps =
[[File:HA-REF.drawio.png]]


=== Typical Architecture ===
== High Availability with Corosync & Pacemaker ==
[[File:HA-REF.drawio.png|400px|HA Cluster Architecture]]


* Dual-room.
* Multi-node or dual-room clusters for redundancy
* IPMI LAN (fencing).
* Use IPMI for fencing, provision via PXE/NTP/DNS/TFTP
* NTP, DNS+DHCP+PXE+TFTP+HTTP (auto-provisioning), PROXY (updates or internal REPOSITORY).
* For 2-node clusters: stagger fencing for stability; 3+ nodes recommended
* 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 ===
=== Common Resources Pattern ===
* Multipath
* Multipath storage, LUN, LVM, NFS
* LUN
* User and process resources
* LVM (LVM resource)
* IP, DNS, Listener management
* FS (FS resource)
* NFS (FS resource)
* User
* IP (IP resource)
* DNS name
* Process (Process resource)
* Listener (Listener resource)


== HPC ==
== HPC ==
[[File:HPC.drawio.png]]
[[File:HPC.drawio.png|400px|HPC Cluster Overview]]


== IT Wage ==
== DevSecOps ==
* [https://www.silkhom.com/barometre-2021-des-tjm-dans-informatique-digital FREELANCE]
[[File:DSO-POC-V3.drawio.png|400px|DevSecOps Reference Design]]
* [https://www.glassdoor.fr/salaire/Hays-Salaires-E10166.htm IT]


== SRE ==
----
* [https://openapm.io SRE]


== REDHAT Package Browser ==
'''For more examples, guides, and scripts, visit [https://infocepo.com infocepo.com]. Contributions and suggestions welcome!'''
* [https://access.redhat.com/downloads/content/package-browser REDHAT Package Browser]

Latest revision as of 10:06, 17 July 2025

Discover cloud computing on infocepo.com

Discover Cloud Computing on infocepo.com

Welcome! This portal is designed for IT professionals, engineers, students, and enthusiasts who want to master cloud infrastructure, explore AI tools, and accelerate their IT skills through hands-on labs and open-source solutions.

Quick Start

  • Master cloud infrastructure: Practical guides and labs
  • Explore artificial intelligence: Trends and hands-on tools
  • Compare cloud providers: Kubernetes, AWS, OpenStack, and more
  • Develop expertise: Training, open-source, and real-world projects

AI & Cloud Tools

AI Assistants
Development & Model Tracking

Notable Open LLMs

(Last updated: 25/04/2025)

Model Description / Notable Features
ai-chat gemma3-12b, cost efficient
ai-chat-hq gemma3-27b, higher quality
ai-translate gemma2, temperature=0 (deterministic translation)
ai-summary qwen2.5, optimized for summarization
ai-code gemma3-27b, advanced code reasoning
ai-code-completion gemma3-1b, fast code suggestions
ai-parse gemma2-simpo, parsing & extraction
ai-RAG-FR qwen2.5, French RAG applications
mannix/gemma2-9b-simpo OllamaFunctions integration

Industry News & Trends


Training & Learning


Cloud Lab & Audit Projects

Cloud Lab Reference Diagram

Lab Project

Experiment with high-availability, cloud migration, and audit automation.

Cloud Audit

  • ServerDiff.sh – Bash script for auditing servers, tracking config drift, and checking environment consistency

Cloud Migration Example

Cloud Migration Diagram

Task Description Duration (days)
Audit infrastructure 82 services, automated via ServerDiff.sh 1.5
Diagram cloud architecture Visual design 1.5
Compliance check 2 clouds, 6 hypervisors, 6TB RAM 1.5
Install cloud platforms Deploy core cloud environments 1.0
Stability check Early operations 0.5
Automation study Automate deployment/tasks 1.5
Develop templates 6 templates, 8 envs, 2 clouds/OS 1.5
Migration diagram Process illustration 1.0
Write migration code 138 lines (see MigrationApp.sh) 1.5
Process stabilization Ensure repeatable migration 1.5
Cloud benchmarking Performance test vs legacy 1.5
Downtime calibration Per-migration time calculation 0.5
VM loading 82 VMs: OS, code, 2 IPs each 0.1
Total 15 man-days

Stability check

Action Expected Result
Power off one node All resources started
Power off/on all nodes simultaneously All resources started

Web Infrastructure & Best Practices

Web Architecture Reference

  • Favor minimal, flexible infrastructure
  • Track customer location via GDNS or similar
  • Use network load balancers (LVS, IPVS) for scaling
  • Compare prices and beware of vendor lock-in
  • For TLS: use HAProxy for fast frontend, Envoy for compatibility
  • Caching: Varnish, Apache Traffic Server for large content
  • Prefer open-source stacks and database caches (e.g. Memcached)
  • Use message queues and buffers for workload smoothing
  • For more examples: Wikimedia Cloud Architecture, System Design GitHub

Major Cloud Platforms: Feature Comparison

Function Kubernetes OpenStack AWS Bare-metal HPC CRM oVirt
Deployment Tools Helm, YAML, ArgoCD, Juju Ansible, Terraform, Juju CloudFormation, Terraform, Juju Ansible, Shell xCAT, Clush Ansible, Shell Ansible, Python
Bootstrap Method API API, PXE API PXE, IPMI PXE, IPMI PXE, IPMI PXE, API
Router Control Kube-router Router/Subnet API Route Table/Subnet API Linux, OVS xCAT Linux API
Firewall Control Istio, NetworkPolicy Security Groups API Security Group API Linux Firewall Linux Firewall Linux Firewall API
Network Virtualization VLAN, VxLAN, others VPC VPC OVS, Linux xCAT Linux API
DNS CoreDNS DNS-Nameserver Route 53 GDNS xCAT Linux API
Load Balancer Kube-proxy, LVS LVS Network Load Balancer LVS SLURM Ldirectord N/A
Storage Options Local, Cloud, PVC Swift, Cinder, Nova S3, EFS, EBS, FSx Swift, XFS, EXT4, RAID10 GPFS SAN NFS, SAN

Useful Cloud & IT Links


Advanced: High-Availability, HPC & DevSecOps

High Availability with Corosync & Pacemaker

HA Cluster Architecture

  • Multi-node or dual-room clusters for redundancy
  • Use IPMI for fencing, provision via PXE/NTP/DNS/TFTP
  • For 2-node clusters: stagger fencing for stability; 3+ nodes recommended

Common Resources Pattern

  • Multipath storage, LUN, LVM, NFS
  • User and process resources
  • IP, DNS, Listener management

HPC

HPC Cluster Overview

DevSecOps

DevSecOps Reference Design


For more examples, guides, and scripts, visit infocepo.com. Contributions and suggestions welcome!