DevBrainOps
110 subscribers
99 photos
5 videos
23 files
226 links
The group whose goal is to find the best approaches and solve problems of #DevOps practice.
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🤖 Hey tech builders & AI explorers!

Just found a gem on GitHub: 500+ AI Agent Use Cases 👉 https://github.com/ashishpatel26/500-AI-Agents-Projects

This repo is packed with practical AI agents — from health diagnostics 🏥 and trading bots 💹 to smart farming 🌱 and logistics automation 🚚.

Frameworks spotlighted:
CrewAI – workflow automation (emails, meetings, resumes, Instagram content)
Autogen – code generation, LLM debugging, web-browsing agents
Agno – helpers like support chat, market insights, study companions
Langgraph – multi-agent orchestration, RAG workflows, chatbot eval, SQL agents

💡 Why it matters for your career:
Learning how to design and integrate AI agents isn’t just “cool tech” — it’s a future-proof skill. Whether you’re into DevOps, cloud, data, or app engineering, these agents show how automation + AI can free you from repetitive tasks, sharpen your problem-solving, and even open doors to new roles in AI-driven infrastructure and operations.

Dive in, experiment, and maybe even contribute your own use case. The more you play with agents today, the more valuable you’ll be tomorrow.

#AI #AIAgents #Automation #DevOps #MLOps #Cloud #Kubernetes #CICD #CareerGrowth #OpenSource
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System-Design-Alex-Xu-Vol-1 (1).pdf
22 MB
🍬Want to master the creation of complex system architectures and confidently ace system design interviews at top companies?

📘This book is your key:
System Design Interview – Vol. 1 (Alex Xu)

It breaks down real-world system design challenges step by step.
Gives you the mental models to reason about scalability, reliability, performance, and trade-offs.
Prepares you for high-stakes interviews, where system design is often the hardest part.
Helps you think like an architect, not just an implementer.

Many engineers call this book the “Bible of System Design” — a foundation every serious DevOps and Platform Engineer should know.

👉 Start reading today, and you’ll not only grow as an engineer but also unlock career-defining opportunities.
#architecture #book #CareerGrowth
#CloudArchitecture #books #DevOps #learning #systemdesign
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💥 Curious about how to actually build agentic apps, or what AI agents and MCP servers really mean?

🚀 Dive into this curated set of fresh, practical resources - learn faster, experiment smarter, and start shipping real projects today!

1. Blog: Effectively Building AI Agents on AWS Serverless https://aws.amazon.com/ru/blogs/compute/effectively-building-ai-agents-on-aws-serverless/ Co-authored with the awesome Dhiraj Mahapatro.
2. Webinar: Building Serverless AI Agents https://www.youtube.com/watch?v=OuiUEPO7PB8 - deep dive into architectures and patterns.
3. Webinar: Building Serverless MCP Servers https://www.youtube.com/watch?v=q3JgDJPeXJY- understand how MCP works, when to use stateless vs. stateful, and how to run them on AWS.
4. Code: Sample MCP Servers and AI Agents https://github.com/aws-samples/sample-serverless-mcp-servers - ready-to-run examples using AWS Serverless services.

#aws #serverless #lambda #fargate #agents #genai
#bedrock #awesome #mcp #architecture
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Looking to break into Linux System Administration but currently only know how to ls and pray?
Don’t worry — we’ve all been there. 🙃

Here’s a completely free course to get you started: https://training.linuxfoundation.org/training/introduction-to-linux/

💻 60+ hours of content
🧪 Hands-on labs (because we learn by breaking things)
🏅 Completion badge (so you can flex on LinkedIn)
♾️ Lifetime access (for when you forget a command and Google betrays you)
💰 $0 (finally something in tech that doesn’t require a credit card)

Fun fact: Linux runs over 90% of servers and cloud infrastructure.
Translation: If you want to be in DevOps, CyberSec, or a SysAdmin, Linux is like oxygen… you kinda need it.

Also, once you understand Linux, your AWS bill will still be high — but at least you’ll know why. 😅

#DevOps #Linux #SysAdmin #ITCareer #CareerGrowth #SRE
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🚀 Kubernetes at Massive Scale – Lessons for Real Production

This experiment shows that Kubernetes can be pushed all the way to 1,000,000 nodes. While it’s not production-ready, the project gives powerful insights:

Think about network design early (IPv6 becomes a must at scale)

etcd writes and API load are the real bottlenecks — optimize them

Sharding + horizontal scaling of control plane components is the key

Every “small overhead” becomes huge at scale — design clean & simple

Even if your cluster is 100 or 1,000 nodes - these patterns help you build reliable, efficient, and future-proof production systems.

🔗 https://bchess.github.io/k8s-1m/

#kubernetes #k8s #production #devops #sre #cloudnative
#scalability #infrastructure #etcd #clusters #platformengineering
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🧰 Tech Vault - A great collection of tech interview questions

A clean, open-source repo with real interview questions for DevOps, software engineering, algorithms, networking, AWS, Docker/K8s, and more.

Perfect for interview prep or sharpening your skills.

📎 Link: https://github.com/moabukar/tech-vault

#CareerGrowth #DevOps #learning
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🚀 Want to level-up your Kubernetes deployments? This article explains how to build a fully automated GitOps pipeline using GitHub Actions and ArgoCD - from PR-based preview environments to safe and controlled production rollouts. Perfect for improving CI/CD efficiency and release reliability.

Read it here 👉 https://sheraziqbal.medium.com/from-pr-preview-production-with-github-actions-argocd-83ec64e57ec0

#DevOps #GitOps #ArgoCD #GitHubActions #Kubernetes #CICD #CloudNative #Automation
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This video shares a real-life experience of receiving three DevOps job offers in the UAE, including practical strategies for job searching, interview preparation, and insights into the current IT job market.

In this video, you’ll learn:
What DevOps is and what DevOps engineers actually do
Salary ranges and career levels in DevOps
How to start a DevOps career from scratch
Useful tips for applying, interviewing, and standing out to employers

📌 This video is perfect for anyone looking to build a career in DevOps or improve their job-hunting results in tech.

👉 Watch the full video here:
https://www.youtube.com/watch?v=uWHPaAEXRC4

#DevOps #DevOpsEngineer #ITJobs #TechCareer #JobOffers
#CareerTips #CloudEngineering #InterviewTips #TechCareers
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Cilium-Up&Running.pdf
9.9 MB
📚 New Book Alert: Cilium: Up and Running

Connectivity, security, and observability - all powered by eBPF. If you are working with Kubernetes, Cilium is the platform you need to know.

This O'Reilly guide simplifies the daunting task of learning Cilium. Whether you're a beginner or an experienced architect, you'll find deep insights into how packets move around and how to protect your production workloads.

#Learning #books #Cilium #SRE #K8s
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🏗 Scaling GitOps: Argo CD + Kargo for 500+ Microservices

Running GitOps for a few services is easy.
Running GitOps for 500+ microservices across multiple environments is a completely different challenge.

At that scale, the classic "commit → PR → merge → sync" workflow quickly becomes a bottleneck:
- endless PRs
- environment drift
- fragile promotion pipelines
- manual verification steps
To keep delivery fast and reliable, GitOps needs automation, orchestration, and abstraction.

This deep dive into Argo CD and Kargo explains how modern platform teams handle GitOps at scale.
Key Technical Takeaways —
🚦 The Promotion Problem
Standard GitOps struggles with environment promotion (Dev → Staging → Prod).
Kargo introduces promotion pipelines that automate artifact movement between stages while maintaining GitOps integrity.
🧩 Abstraction at Scale
Using ApplicationSets and Generators in Argo CD allows platform teams to manage hundreds of applications from a small set of templates, avoiding massive repo duplication.
🔄 Decoupling Environments
Separating application definitions from environment configuration keeps deployments flexible and prevents the dreaded monolithic GitOps repository.
Automated Verification
Promotion pipelines can run tests, health checks, and validations before advancing deployments—removing manual approvals and reducing production risk.

For teams building platform engineering capabilities or operating high-density Kubernetes environments, this is a solid blueprint for scaling GitOps beyond the basics.

🔗 https://akuity.io/blog/gitops-at-scale-500-microservices-argo-cd-kargo

#GitOps #ArgoCD #Kargo #Kubernetes #CloudNative #PlatformEngineering #DevOps #ContinuousDelivery
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🚀 If you're working in Kubernetes, Platform Engineering, DevOps, or Cloud Infrastructure, understanding controllers is becoming one of the most valuable skills you can have.

The controller pattern is the foundation behind Kubernetes, Crossplane, Argo CD, Karpenter, Operators, and many of the platforms shaping the future of infrastructure automation.

As AI and vibe coding continue to evolve, generating code, manifests, Terraform, Helm charts, and automation workflows is becoming easier than ever. But understanding why systems behave the way they do, how reconciliation works, how desired state converges with actual state, and how large-scale platforms operate remains a fundamentally human skill.

The future belongs to engineers who understand the underlying abstractions, not just the tools built on top of them.

If you want to remain relevant in the age of AI-assisted engineering, learning how controllers work is a great investment.

This course is an excellent introduction to one of the most important concepts in modern cloud-native architecture.

🎥 https://www.youtube.com/watch?v=odP153inZUo

#Kubernetes #PlatformEngineering #DevOps #CloudNative #CloudComputing #GitOps #Crossplane #Karpenter #InfrastructureAsCode #SRE #SoftwareEngineering #AI #VibeCoding #PlatformOps #EngineeringLeadership #DistributedSystems #Containers #OpenSource