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Launched in 2014, DevOps.com has established itself as an indispensable resource for DevOps education and community building. We make it our mission to cover all aspects of DevOps—philosophy, tools, business impact, best practices and more.
Our site is the largest collection of original content related to DevOps on the web and one of the top results for DevOps-related search terms. Our content includes in-depth features, bylined articles, blog posts and breaking news about the topics that resonate with IT readers interested in DevOps: teamwork through improved IT culture, continuous integration, automated deployment, agile development and infrastructure-as-code among them. Source
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| Scope | International, Trade/B2B |
|---|---|
| Language | English |
| Country | United States of America |
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Recent Articles
Search Articlesfrom framework migrations to autonomous agents
What it takes to modernize a large repository portfolio with AI agents, and what that actually costs to run. The Challenge Framework migrations stall, CVE backlogs compound, and a fix that works on one repo rarely scales to hundreds. Point a general-purpose AI agent at the problem and it re-reads the codebase on every run, spends most of its tokens rediscovering what it already saw, and still returns changes someone has to review by hand.
Treat Business Workflow Changes Like Deployments
Business automation often reaches production without the release discipline applied to application code. A routing rule changes, an approval threshold moves, or an integration starts writing to a new system. The edit may happen in a visual builder instead of a repository, but its blast radius is still real: orders can duplicate, customers can receive the wrong message, and operators can lose the context needed to recover. The useful shift is to treat every workflow change as a deployment.
Microsoft Decouples AI Agents From the VS Code Editor in Latest Release
VS Code 1.133 moves AI agent sessions into a standalone Agent Host, separating them from the editor’s extension host. Microsoft has open-sourced the Agent Host Protocol (AHP) under the MIT license, aiming to make agent sessions interoperable across tools and IDEs. Agent sessions can now persist across VS Code windows and be accessed remotely over SSH or dev tunnels.
AI Observability Best Practices for Production-Ready AI
AI teams are moving fast, but getting AI into production takes more than speed. As organizations move AI applications, agents, and LLM-powered services into production, traditional monitoring often misses the signals that matter most. Teams need visibility into response quality, cost, latency, drift, and the chain of events behind every AI output. Join Dynatrace for a practical discussion on what AI observability looks like in production and the practices teams can use to make it work.
Developer Resistance to AI Isn’t Fear – It is Identity
Developers may resist AI because it changes the work they enjoy, not simply because they fear losing their jobs. AI moves developers from hands-on coding toward instructing, reviewing and orchestrating agents. High adoption combined with low trust in AI-generated code highlights the growing need for human validation. Moving from programmer to orchestrator changes professional identity, ownership and accountability.
You Can’t Scale Software Testing with Fragile Automation
AI is accelerating software development, bringing more code, more change, and more risk to evaluate. A new Techstrong PulseMeter survey finds that manual testing remains widespread, while the effort required to maintain existing automated tests can limit teams’ ability to expand coverage and support new delivery demands.
How SoFi Cut Recovery to Minutes Across Five AWS Regions and Made Backup Pay for Itself
Recovery is the assumption every cloud team makes and rarely tests until the worst possible moment. In a 2026 survey of 583 cloud IT leaders, 92% were confident they could restore critical data during a major outage, yet most needed six or more hours to actually pull it off, and a majority found their gaps only after an incident, an audit, or a failed restore.
Production-Safe Testing: The Missing Piece in Most DevSecOps Strategies
Most DevSecOps teams invest heavily in security before deployment, yet attackers target the production environment where applications, APIs, and user behavior are constantly changing. If security validation stops before release, critical risks can remain hidden until they are exploited. The gap is more common than many organizations realize.
Arm Adds AI Tool to Optimize Workloads Using Runtime Data
Arm Dynamic Insights uses runtime data and AI to help developers identify software performance bottlenecks and optimization opportunities. The tool is designed to make processor-level performance analysis accessible to developers without requiring deep Arm architecture expertise. Dynamic Insights can identify CPU, memory and I/O constraints, execution hot spots and inefficient use of AI accelerators.
ProjectDiscovery Brings Open Source AI Testing to Vulnerability Discovery
ProjectDiscovery’s Neo 1.0 uses AI-driven autonomous security testing to discover, validate and prioritize exploitable vulnerabilities. Neo is available through a consumption-based cloud model designed to lower the cost of continuous security testing. The platform integrates with GitHub, Jira, Confluence, Slack, Linear, APIs, webhooks and MCP.