Operations | Monitoring | ITSM | DevOps | Cloud

Create Custom Visualizations | Introducing Grafana Pages | New from Grafana AI

Grafana Pages is now in public preview in Grafana Cloud. Tell Assistant what you want it to see , and Pages builds it: a custom visualization, an app, a slide deck, or even a game. Pages are for the moments a dashboard can’t cover, like walking leadership through a launch, starting your day with a view of the services you own, or turning an incident into a story everyone can follow.

Operationalizing Microsoft 365 Copilot: Compliance, security, and scale

Unmonitored AI is a massive organizational blind spot. Join Cribl's Field CISO, Ed Bailey, and Senior Product Manager, Daniel Pan to learn Cribl can help you affordably collect and store Microsoft 365 Copilot prompts and responses and share that data across your IT and Security teams to meet compliance requirements and gain real AI observability. We'll cover how to scale collection with less effort and build the AI-ready data architecture that solves today's challenges and sets you up for what's next.

What's New in Scout: October 2026

October was about making Scout’s data easier for AI tools to use and easier for your team to trust. Scout is now in Claude’s connector directory, the MCP server got leaner and more careful about what it returns, and Scout Trails opened its beta. Anomaly Detection also became easier to read and better at catching short spikes. Here’s what shipped in October.

Test AI-Generated Code with Real Traffic#aiagents #devops #observability #shiftleft #softwaretesting

AI can generate code in seconds, but testing it against real production behavior is where developers get stuck. Learn how capturing and replaying actual production traffic in development helps you catch bugs before you deploy!

Adding friction to your AI spend isn't saving money. It's costing you growth.

Enterprises are putting hard ceilings on AI spend. Accenture now centrally funds $29 a month per person for Claude and charges anything above that to a project budget code. Uber used up its 2026 AI budget in four months and restricted access. A cap stops waste and useful work at the same rate. The alternative is seeing AI cost by team, by project and by outcome, then funding what returns. Companies spent the past year telling employees to use more AI. Now a lot of them are putting a lid on it.

AI Visibility Checkers for Engineering-Led Teams: 7 Best in 2026

Somewhere in your edge configuration there is a rule nobody remembers writing, and it is deciding whether ChatGPT can read your documentation. That is the thesis of this list: AI visibility, meaning whether assistants such as ChatGPT, Gemini and Perplexity name your product when a buyer asks for one, has become partly an infrastructure problem, and the two failure modes that matter most sit on the engineering side of the house. The first is reachability, because a WAF default that returns 403 to GPTBot or ClaudeBot removes you from retrieval as surely as a robots.txt disallow.