Browse All DevOps Content (747)

Johnson Shi, Zoey (Zhuyu) Li, and Huangli Wu announce public preview support for regional endpoints in Azure Container Registry geo-replication, including the new Azure CLI and portal experience, endpoint URL formats, and practical guidance for pinning pushes/pulls and Kubernetes workloads to specific replicas.

shijain13 explains what’s new in the Azure Monitor Health Model (Preview), focusing on expanded discovery options, faster health signal setup, and new aggregation rules that help teams reason about workload health with less alert noise and clearer troubleshooting paths.

davidwright, Arnaud Lheureux, and Suzanne Daniels explain why architecture and governance frameworks only help when they actively change delivery decisions. Using Git-Ape as the example, they show how to turn Azure Well-Architected, Azure Policy (including NIST mappings), and CAF guidance into repeatable repo-driven assessments with prioritized findings tied to code and policy.

Allison announces that Copilot Pro, Pro+, and Max subscribers can use “Fix with Copilot” to automatically investigate and propose fixes for failing GitHub Actions jobs, pushing changes to a branch and tagging the developer for review.

Allison announces a public preview REST API that lets Copilot Pro, Pro+, and Max users start and track Copilot cloud agent tasks programmatically, enabling teams to integrate agent-driven code changes into scripts and internal tooling.

The Visual Studio Code Team shares what’s new in VS Code 1.124 (Insiders), including several usability updates to the Agents window (session-scoped prompt history, multi-chat local sessions, background send, and session grid keyboard navigation) plus regex flag support for folding markers in language configuration.

tinotereshko rounds up the Build 2026 announcements for Microsoft Fabric Data Warehouse, covering GPU-based query acceleration, configurable data retention and time travel, SQL editor upgrades (including inline Copilot chat), and new T-SQL capabilities. The post also highlights DevOps-focused features like REST APIs and Git/DacFx-based schema deployments for the SQL analytics endpoint.

miguel shares benchmark results for Microsoft Fabric Dataflow Gen2 (CI/CD), explaining which performance lever to use (Fast Copy, Modern Evaluator, partitioned compute, staging) depending on whether your bottleneck is ingestion throughput, transformation-heavy Power Query (M), or parallel file processing.

Pierce Boggan and Joshua Spicer share how the VS Code team moved from monthly to weekly releases by tightening review and testing workflows, automating triage at scale, and using agent-driven sessions that turn conversations into pull requests while keeping quality high with 100+ commits landing daily.

Julia Kasper, Harald Kirschner, Burke Holland, Kent Dodds, Christian Reddington, and Pierce Boggan share practical patterns for orchestrating multiple agents in VS Code, focusing on how to split work across local, background, and cloud surfaces and how to keep quality under control as agent count grows.

Scott Hanselman and Monica Cisneros discuss what it took to make the OpenClaw Windows keynote demo reliable, covering cross-team coordination, open source testing practices, and Windows platform work like packaging, permissions, sandboxing, and container-style containment options.

Cassidy Williams and Evan Boyle demonstrate an end-to-end, agentic GitHub Copilot workflow that starts in the terminal and ends with a merged pull request, focusing on the practical mechanics teams need to make AI-assisted sprint work repeatable.

Allison announces the general availability of Enterprise Teams on GitHub Enterprise Cloud, explaining how enterprise admins can define teams once and reuse them across all organizations for consistent reviewer routing, ruleset bypass configuration, IdP-driven membership via SCIM, and API-based automation with auditing.

Sameer Nori, Pranay Bakre, and Govardhani Babu show how to run and scale LLM inference for agentic, cloud-native apps on Azure using Arm-based Azure Cobalt VMs, including an AKS demo and practical guidance on performance, scaling, and cost trade-offs.

Ari LiVigni and Alejandro Menocal demonstrate GitHub Agentic Workflows, showing how a simple markdown-driven setup can launch an AI agent via GitHub Actions to triage issues, fix CI failures, update docs, and improve tests, producing a ready-to-review pull request while keeping developers in control.

Allison announces that GitHub Copilot Chat is now generally available on github.com with richer pull request and diff context, making it easier to ask questions, review changes, and get summaries while staying in the PR workflow.

Nikola Metulev, Beth Pan, and Aditya Ramnathkar walk through a developer-optimized Windows setup aimed at reducing friction in day-to-day workflows, with demos spanning WinGet configuration, WSL-based container development, and guardrails for agent-driven actions.

Tim Bozarth presents Microsoft’s EngThrive framework (Speed, Ease, Quality) for measuring and improving developer productivity in the AI era, with practical guidance on choosing outcome-focused metrics, building dashboards, and driving changes that reduce developer toil and bottlenecks across teams.

Michel Hubert demonstrates how AI can improve developer onboarding by helping a new team member understand a codebase faster, find relevant context, identify key components, and make an initial contribution with less frustration and a shorter path to impact.

James Montemagno demonstrates how the VS Code Agents window (Preview) uses Dev Tunnels to remotely access your local developer tools, SDKs, and workspaces from vscode.dev, including using the /remote command and running a quick end-to-end demo.

Shawn Henry, Amanda Foster, and Glenn Condron go deep on building and operating multi-agent systems on Microsoft Foundry, focusing on “agent harness” patterns (including Claw) and hosted agents architecture. They cover long-running agents with triggers, state and file access, plus how Copilot SDK and Claude Agent SDK fit into coordinated workflows.

Rochak Mittal, Shobhit Garg, and Adity Agarwal present a Build 2026 breakout on treating resiliency as an agent-first practice, showing how an agentic AI assistant can connect build, operations, troubleshooting, and recovery workflows across repos, dashboards, runbooks, and collaboration tools for Azure workloads.

Dan Hellem and Dave Burnison demonstrate how Azure DevOps and GitHub integrate for hybrid DevOps workflows, including Azure Boards and Azure Pipelines connectivity, migration tooling, and AI-powered capabilities like Copilot assignment, Copilot code reviews, and automated multi-file fixes.

DevClass rounds up Microsoft Build announcements that matter to developers, including new Windows sandboxing for AI agents (MXC), an Arm-based Surface RTX Spark Dev Box, GitHub Enterprise Local for connected or air-gapped environments, Azure Linux updates, and Microsoft-maintained Coreutils for Windows.

Peter Steinberger explains how his team built an ecosystem of tooling to maintain OpenClaw faster and with more confidence, focusing on automation for issue review and resolution, maintainer dashboards that combine GitHub and Discord signals, and scaling testing and debugging workflows across platforms.

Ellie Bennett and Denizhan Yigitbas show how GitHub Copilot can follow you across development environments, from local CLI workflows to cloud execution using Remote Sandboxes, with an emphasis on staying in control while Copilot runs commands and iterates on changes.

Microsoft Developer presents an advanced Microsoft Build 2026 session on “agentic testing”: using autonomous test agents to validate AI-generated code and agent-built workflows, with practical patterns for detecting failures across multi-step processes and continuously verifying behavior in CI/CD.

Hanchi Wang demonstrates how Azure AI Foundry and OpenTelemetry can standardize GenAI tracing across agent frameworks and clouds, so teams can instrument model and tool calls, debug failures, and use trace-driven evaluation to optimize latency and cost.

Salil Subbakrishna and Denizhan Yigitbas present a Build 2026 demo on how GitHub Actions is evolving from CI automation into an execution layer for AI agents, with agent-triggered workflows, MCP server integration, and human-in-the-loop handoffs to reduce the commit-fail-commit loop.

Simon Willison discusses how to keep software reliable when AI-generated code and AI-driven testing fall short, focusing on practical engineering habits that scale to both humans and machines.

DevClass reports on .NET Aspire 13.4, highlighting the general availability of the TypeScript AppHost and new integrations that broaden Aspire beyond C#-only workflows. The piece also covers deployment targets (including Azure and Kubernetes), the Aspire dashboard’s OpenTelemetry-based observability, and notable Kubernetes-related improvements.

Fokko at Work demos selected updates in Visual Studio Code 1.123 with a focus on GitHub Copilot-related changes, including session sync/Chronicle and the Agents window, plus improvements to the built-in browser and screenshot workflow.

leoyao summarizes the //build 2026 updates to Foundry Toolkit for VS Code, focusing on an end-to-end Hosted Agent workflow (scaffold, run, deploy, observe), richer Toolbox integrations, and new LangGraph samples that cover MCP, human-in-the-loop flows, and production observability.

Sebastian Kohlmeier outlines what’s new in Microsoft Foundry observability at Build 2026, focusing on production-grade tracing, evaluations, and optimization for AI agents across multiple frameworks. The post also introduces ROI tracking for agents, tying operational signals to business value via the Foundry portal and APIs.

Microsoft Developer promotes the Microsoft Build 2026 Day 2 livestream, highlighting GitHub and VS Code updates, GitHub Copilot deep dives, and a day of live programming sessions with Microsoft and GitHub engineers, plus Foundry-focused talks and selected breakout streams.

Ram Kakani explains how Oracle Managed Database MCP (Model Context Protocol) remote servers can be used from Microsoft Foundry to build enterprise AI agents that query Oracle AI Database@Azure, including local VS Code workflows, self-hosted Azure deployments, and a fully managed OCI option with identity, networking, and governance controls.

LZhang lays out a practical DevOps loop for Microsoft Foundry Hosted Agents, covering how to move from Terraform-provisioned infrastructure to production delivery with immutable agent versions, evaluation as a release gate, manifest-driven promotion, traffic-split canaries, and per-version observability.

Poonam Gupta shares how Microsoft’s CAP organization is moving repositories from Azure DevOps (Azure Repos) to GitHub at enterprise scale, while keeping Azure Boards and Azure Pipelines where they still matter. The post highlights migration tooling, hybrid workflow patterns, and how Copilot-driven agentic workflows are influencing platform decisions.

Ivan Varnitski announces a public preview feature for Azure Monitor Data Collection Rules that lets you run multi-stage transformations (processors) to filter, aggregate, parse, and reshape logs before they’re ingested into Log Analytics, cutting ingestion volume and cost while improving query-ready data quality.

susaraswat4 shares performance and sizing guidance for Azure Monitor pipeline, including measured Syslog/CEF ingestion throughput into Log Analytics, memory footprint, and how throughput scales with vCPUs and replicas. It also highlights operational behaviors like automatic core usage and TCP backpressure as a signal to scale.