Live Workshop: Writing Useful Logs For Production
Join us for a hands-on workshop where we go deep on structured logging: what to capture, how to structure it, and how to stay informed so your next incident has a paper trail.
Operations | Monitoring | ITSM | DevOps | Cloud
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The latest News and Information on Monitoring for Websites, Applications, APIs, Infrastructure, and other technologies.
From Teddy Bears to Splunk Cloud: A Million Data Points
Charlie Huggard traces his path from teddy bear–loving customer, to Splunk Trust member, to technical leader at Splunk. Along the way, he reflects on the community that helped him grow and the meaningful values that make Splunk special.
A practical guide to React error monitoring
When designing effective error handling for React apps, the troubleshooting information you collect and display is critical. React errors can stem from a variety of causes, including user misconfiguration, backend and network issues, and mismatches in browser environments. Instrumenting your code to log critical context, including feature names, user data, and session activity, enables you to quickly identify where these errors originate.
Reproducing split brain on CloudNativePG
We run Postgres under an operator for automatic failover. That is a promise about what happens during a failure, so the only way to know you have it is to cause the failure and watch. The docs tell you what should happen. A config review tells you which knobs are set. Neither tells you how long an isolated primary keeps accepting writes after its replacement has been promoted, and that number decides whether a failover is clean or leaves you with two versions of your data.
Your AI Agents Can Take Action Now. Can You Prove They Should Have?
Enterprise AI agents clear every demo and pilot, then hit a compliance wall. The gap isn't technology—it's architecture. Discover why governance must sit inside the execution flow across six control points, not bolt on afterward as an afterthought at input and output only.
Start with OpenTelemetry presets to collect Kubernetes metrics
The OpenTelemetry Collector presets are a great way to start collecting Kubernetes metrics.
What Comes Next: Honeycomb Demos at O11yCon 2026
In this session at O11yCon, Purvi Kanal, Jamie Danielson, and Martin Holman demoed the new Canvas. Canvas now understands OpenTelemetry GenAI semantic conventions, and can show agent invocations, LLM calls, and tool calls all in one trace view. Humans and agents can work in the same place, with skills that let each team encode their own expertise so both the agent and their colleagues can use it. Multiplayer support means you can see your teammates' cursors and share charts.
What Is a CBOM and Why Does It Matter?
Quantum computing is reshaping the future of cybersecurity. In this video, learn what a Cryptographic Bill of Materials (CBOM) is, why it matters for post-quantum security, and how it helps organizations identify vulnerable cryptography, prioritize migration, and improve cryptographic visibility. Perfect for security professionals, DevSecOps teams, IT leaders, and compliance teams preparing for the quantum era.
How AI Agents Are Changing ITSM Faster Than We Think | Motadata Webinar
AI is transforming ITSM beyond co-pilots with autonomous AI agents that can understand, decide, and act. In this webinar, discover how AI agents are reducing manual workloads, accelerating incident resolution, improving service quality, and enabling intelligent service operations. Learn real-world use cases, key implementation strategies, and how organizations can move from reactive support to proactive, AI-driven IT service management. Watch now to explore the future of smarter, faster, and more efficient ITSM.
Automate all the things: How to use Grafana Cloud's AI to relieve the operational burden
Continuous integration and continuous delivery (CI/CD) have dramatically changed how we ship software. But once code reaches production, the operational work is still surprisingly manual. Engineers continually monitor systems, investigate unexpected behavior, and decide which issues require action. And that is where the next opportunity for AI-driven automation lies. For example, in today's CI/CD workflows, someone refreshes the pipeline page to see whether the queue has moved.