1,192 saved links, 2017–2026 (peak: 2023). The corpus tells two stories at once: the long identity debate (DevOps vs. SRE vs. platform engineering, including several obituaries for the term itself) — and then, from 2025 onward, almost every save is about AI agents doing the operating. Your own pivot, in miniature.
Related: Azure · Infrastructure as Code · Kubernetes · Programming
Start here
- InfoQ Cloud and DevOps Trends Report 2025 — the current map of the territory.
- DORA 2024: Accelerate State of DevOps results and the full 2024 State of DevOps Report.
- DevOps vs. SRE vs. platform engineering — a differentiation that actually lands (“besides the amount of marketing behind each”).
- SRE Roadmap 2026: skills, tools & career path — where the role is heading.
- A Eulogy for DevOps — the best-written version of the “it’s over” argument; read it, then read everything below that disproves it.
- DevOps and cloud key metrics — the numbers that tell you whether any of this is working.
The agentic turn
The dominant thread since 2025: operations as something agents do, humans supervise.
- AI in SRE: where and how Google deploys agentic AI in operations and Google Cloud SREs using Gemini CLI for outage response — from paging to postmortem.
- The AI SRE agent revolution: why 2026 is the year of autonomous incident resolution — the bull case for exactly what you’re building.
- Microsoft Foundry adds runtime, tooling, and governance for production agents and MS Build: reimagining software development and DevOps with agentic AI.
- Patrick Debois: four emerging AI-native dev patterns — the person who named DevOps, renaming what comes next; also Father of DevOps on the Future of AI and DevOps (video).
- The agent framework container wars: pick protocols, not frameworks — the architecture take.
- Why most AI projects fail after the demo works — patterns for the demo-to-production gap.
- Agent harnesses and the distributed-feedback problem — agentic coding meets distributed systems.
- Tooling: Claude Code agents and skills for DevOps · an open-source DevOps copilot · a local DevOps layer for coding agents · Google ADK connected to dev tooling.
Azure DevOps in production
The deepest practical cluster — pipelines, agents, and governance at scale.
- The Treasure Map for Azure DevOps at Scale series: Part 1 — managing environments · Part 2 — managing libraries · Part 3 — cross-repository policies.
- Agents: Managed DevOps Pools — ADO agents at scale without the hassle · self-hosted agents on Kubernetes · private build agents on Container Instances with Terraform.
- Governance: service connection approvals (use these, not environment approvals) · soft validation of pull requests · Bicep linting in the pipeline.
- Security: Poisoning pipelines: Azure DevOps edition — how attackers see your pipelines; and container patching with Trivy and Copacetic.
- Terraform in ADO: pipeline + Terraform deployment tutorial · debugging Terraform with a simple ADO switch.
- The AI layer: azure-devops-mcp and Azure DevOps MCP Server — what it is and why it matters · nine rounds of AI-powered code review in ADO.
- Perspective: Is Azure DevOps “dead”? · choosing between GitHub and Azure DevOps · APIOps: APIM deployments with GitOps (video).
Platform engineering & the turf wars
- Three pillars of platform engineering: a virtuous cycle.
- The boundary debate: SRE vs. DevOps vs. platform engineering · Platform engineering vs. DevOps · platform engineering is NOT just another name for SRE or DevOps · “platform” — ask ten people, get eleven definitions.
- Evolution arguments: how platform and site reliability engineering are evolving DevOps · from “nice to have” to “must have” — evolving practices with SRE and PE · Coté’s rant: get DevOps back on track.
- In practice: platform engineering for a 10,000-dev workforce · how Pfizer scaled DevEx to 1,000 engineers · the 2024 state of platform engineering.
- Career: SysOps → DevOps → SRE → platform engineer.
Observability & measurement
- OpenTelemetry publishes the “Demystifying OpenTelemetry” guide and what’s new with the second-biggest CNCF project.
- CI/CD observability — a rich new opportunity for OTel — pipelines are systems too.
- Observability 2.0 — and the weekly “X is dead” tombstone industry, for perspective.
- How to do DORA metrics right · how do you measure developer experience? · DORA’s underrated finding: documentation culture.
- Grafana’s improved incident management · LLM observability: the new golden signals — where this section meets your AI work.
Hands-on practice
The corpus is unusually rich in do-it-yourself material — the perennial-learner receipts.
- iximiuz Labs (your most-saved practice source): “AI is only helpful if you can evaluate its work” · networking basics for DevOps and platform engineers · container networking, explained interactively · labctl — remote Linux/Docker/K8s playgrounds from the CLI.
- Labs & pathways: KodeKloud free labs · 10 free DevOps labs · a 6-month cloud/DevOps pathway · the learntocloud DevOps capstone · DevOps the Hard Way — Azure/AKS edition.
- Collections: curated DevOps learning materials · free DevOps books · cloud DevOps notes: GCP, Azure, AWS, K8s · hands-on end-to-end project scenarios · DevOps AI guidelines & learning path.
- Interviews: a free DevOps/SRE Q&A hub · SRE interview questions, beginner to senior.
DevSecOps
- DevSecOps University — books, tutorials, tools.
- the ultimate DevSecOps library — the reference repo you saved twice.
- the vulnerability-management lifecycle in DevSecOps · making security painless in the developer workflow · a bookmark-worthy DevSecOps checklist.