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DevOps & SRE

DevOps & SRE news — Tuesday 20 October 2026

15 stories from 4 sources, every one in English. Each links to its publisher.

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  1. Break the link between data volume and your observability bill with Adaptive Telemetry
    USGrafana Blog

    In the AI era, where telemetry is generated by every model call, tool invocation, and agent step, organizations need more help than ever when it comes to navigating the economics of observability.

  2. Full-stack observability in Grafana Cloud: More connections, richer context, and faster investigations for users and agents
    USGrafana Blog

    Most teams have telemetry from across their stack, but connecting those signals to understand what's happening and how it affects users isn't always easy. Critical context about service dependencies, ownership, and past incidents often…

  3. ObservabilityCON 2026: A guide to all the announcements from Grafana Labs
    USGrafana Blog

    Today at ObservabilityCON 2026 in San Francisco, we unveiled a range of new Grafana Cloud capabilities designed to reshape cloud economics, bring richer context and deeper visibility across your systems and end-user experiences, and help…

  4. Expand what’s possible with Grafana: The Grafana Marketplace is now generally available
    USGrafana Blog

    Earlier this year, we launched the Grafana Marketplace , a platform that gives independent software vendors, systems integrators, and developers in the Grafana community a new way to sell and distribute plugins built for Grafana.

  5. Grafana Pages: Turn data into interactive experiences with the next evolution of Grafana
    USGrafana Blog

    Teams often spend as much time preparing information as discussing it: gathering charts, checking business reports, and finding the GitHub activity that explains a change. Every follow-up question can lead to yet another round of work.

  6. From production problem to proposed fix: Implement autonomous operations with Grafana AI
    USGrafana Blog

    You've just finished a deployment, and though your service is up, you start to notice some requests are getting slower. To address the lag, someone—or, more likely, some group of people on your team—needs to watch the dashboards, decide…

  7. How 3 Java Champions are using GitHub Copilot for increased productivity
    USGitHub Blog

    AI coding tools can generate code quickly, but speed alone does not solve the hardest software engineering problems. Developers still need to provide context, validate results, protect maintainability, and remain accountable for what…

  8. AI Governance: One view of agent activity
    USGitLab Blog

    AI coding agents are writing and changing code, from GitLab Duo Agent Platform agents to externally connected agents like Claude Code, Cursor, and Codex. You are accountable for what those agents do, yet most of their activity stays…

  9. How Delta Air Lines scaled AI-native development to 1,200 engineers with cloud development environments
    USRed Hat Blog

    When Delta Air Lines' Developer Experience team started measuring its Net Promoter Score (NPS), they faced a brutal reality: It was very low. Two years later, after deploying cloud development environments (CDEs) to more than 1,200…

  10. Building AI the open source way: Research insights from Red Hat and the Linux Foundation
    USRed Hat Blog

    The technologies that shape computing don't have to be built behind closed doors. Some of the most important foundations of modern software - from operating systems to cloud infrastructure - have grown through open source, where…

  11. Shared GPUs without shared latency: Priority-aware serving in Red Hat AI
    USRed Hat Blog

    Chat, batch, and agentic traffic can run on the same graphics processing unit (GPU) without the chatbot waiting for the batch job to complete. Built on llm-d flow control and generally available in Red Hat AI 3.5, priority-aware serving…

  12. Redesign how your team ships software with AI agents
    USGitLab Blog

    AI agents are sending more and more code into review queues built for human-paced work. A coding assistant can speed up code writing, but it can’t show you whether review, security checks, and release approvals can keep pace with all that…

  13. Uncover the business logic vulnerabilities SAST scanners miss
    USGitLab Blog

    Broken object-level authorization ranks first on the OWASP API Security Top 10 , and OWASP says that traditional static application security testing (SAST) tools struggle to find access control flaws. A missing authorization check is an…

  14. MLOps for edge AI: Managing AI models across distributed fleets
    USRed Hat Blog

    Deploying AI at the edge is both rewarding and challenging. In previous articles, you've seen how to optimize and package your edge AI models and how to execute them to fulfill common use case requirements at the edge, but there's more.In…

  15. Crossing the threshold to dependable open source AI serving
    USRed Hat Blog

    When large open weight models first captured attention, the industry was faced with a challenge. Powerful open models were becoming available, but technologists lacked an open inference serving system that could run them efficiently…