Browse All DevOps Content (544)
Visual Studio Code highlights the Chat Customizations Evaluation extension for VS Code, which helps developers review and refine prompts, agents, and instructions files as part of an AI-focused workflow.
Vineela Suri explains how the Azure SRE Agent plugin marketplace works: teams publish plugins (skills + MCP connectors) to a shared GitHub repo, and any SRE Agent instance can discover and install them. The post walks through an AKS incident investigation example and the marketplace.json manifest structure.
skundapura explains how to observe and troubleshoot AI agent workloads in Azure AI Foundry, comparing tracing and telemetry support across Microsoft Agent Framework, Semantic Kernel, LangChain/LangGraph, and the OpenAI Agent SDK using OpenTelemetry with Azure Monitor and Application Insights.
Jason Helmick announces the GA release of Microsoft Desired State Configuration (DSC) v3.2.0, covering new built-in Windows resources, experimental Bicep orchestration over gRPC, expanded WhatIf support, version pinning, expression language updates, and adapter/extension improvements, plus install and support lifecycle details.
dbandaru shows how to connect the New Relic-hosted MCP server (Preview) to Azure SRE Agent, including API key setup, RBAC considerations, and how to create a New Relic-focused subagent/skill so the agent can query NRQL, traces, logs, metrics, alerts, and dashboards via natural language.
prabhattomar explains how to build a Kubernetes-native DBaaS-style SQL platform using Crossplane to provision Azure Database for PostgreSQL Flexible Server, including private networking, DNS-based read/write endpoints, and an active-passive multi-region HA/DR approach with replica promotion and Traffic Manager routing.
Sokuma announces the public preview of Azure Monitor Service Level Indicators (SLIs) and explains how SLIs/SLOs, error budgets, and burn-rate alerting help teams measure real customer impact (availability and latency) using Azure Monitor metrics at the Service Group level.
GitHub shows how GitHub Copilot CLI can scan a repository and generate a pull request that follows contribution guidelines, issue templates, and team rules—reducing the manual work of formatting and filling out PR details.
Cosmos DB Dev Environment Supercharged with AI | Sajeetharan Sinnathurai | Azure Cosmos DB Conf 2026
Microsoft Developer features Sajeetharan Sinnathurai explaining how to set up a practical Azure Cosmos DB development environment (VS Code, emulator, testing, and CI/CD considerations) and how to use AI coding assistants more effectively by providing schema context and better prompts.
Mark Downie covers the April Visual Studio 2026 update, focusing on GitHub Copilot’s new cloud agent workflow, user-level custom agents, and a Debugger Agent that validates fixes against real runtime behavior, plus improvements to C++ agent tools, IntelliSense vs Copilot completion priority, and configurable Copilot shortcuts.
Kedasha Kerr explains how to use Markdown on GitHub to write clearer READMEs and to format issues, pull requests, and comments. The post walks through core Markdown syntax—headings, emphasis, blockquotes, lists, code, links, and images—plus how to try it directly in a repository.
singhshub shows how to integrate HashiCorp Vault with Terraform so secrets (like Azure VM admin credentials) are fetched at runtime instead of being stored in .tf files, variable files, or pipeline variables, including KV v2 policy paths, auth options, and state protection guidance.
JennyF explains how Microsoft’s 1ES team uses agentic AI (including GitHub Copilot CLI) plus “skills” and “agent signals” to speed up CVE remediation and compliance work across many repositories, while keeping humans in the loop for review, validation, and deployment.
Alexis Wales explains how GitHub validated, fixed, and investigated a critical remote code execution issue in the git push pipeline, including what caused the injection, how GitHub confirmed no exploitation on github.com, and what GitHub Enterprise Server admins should patch and review.
GitHub explains why learning Markdown matters for developers, especially on GitHub: writing better READMEs and communicating clearly in pull requests, issues, and comments using headings, lists, code blocks, and screenshots.
vsriramdas explains how to use Microsoft PyRIT to red-team agentic AI systems, then shows how to wrap PyRIT with a YAML-driven CLI so you can run repeatable scans in CI/CD and gate releases based on OWASP LLM Top 10-aligned findings.
lexinadolski recaps Microsoft’s presence in the CNCF Project Pavilion at KubeCon EU 2026, summarizing the technical conversations and themes across Kubernetes projects—migration to Gateway API, confidential computing, image signing, observability tooling, and requests for deeper Azure/AKS and AI-workload support.
Amreen explains how to implement Istio-based weighted traffic routing on Azure Kubernetes Service (AKS), including cookie-based session affinity and private, real-time traffic shaping. The post compares native Azure load balancing options and provides production-ready Istio YAML for AKS-only and AKS-to-Azure-VM backends.
Vlad Fedorov shares what GitHub is changing after two recent availability incidents, including scaling work driven by rapid growth in pull requests and API usage, plus concrete reliability efforts like service isolation, caching improvements, and continued migration to Azure and a future multi-cloud posture.
vsakash shares a production-tested Terraform pattern for deploying Azure Redis Enterprise across regions with geo-replication, focusing on primary/replica design, per-region isolation (networking and Key Vault), and a parameterization approach that scales cleanly from dev to prod.