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The most debated DORA metric (even Google debates this)
What's the most debated DORA metric? Nathen H from Google's DORA team breaks down the change lead time debate — and why even the experts can't fully agree on when a change is "committed." Is it at commit? After merge? The answer matters more than you think. Subscribe for more DevEx and DORA insights from our Web Summit series.
AI Supply Chain Attacks Are Here. And Most Organizations Aren't Ready
When I read about the Vercel breach tied to a Context AI compromise, I wasn’t surprised. I’ve been talking with customers for a while now about how AI was going to introduce a new kind of supply chain risk. This is exactly what that looks like. What stands out to me is how familiar the pattern is. We saw it with open source, then again with SaaS, and again with cloud.
Why Does MTTD Stay High Despite Observability Tools Running?
Monitoring coverage, anomaly detection, and SLO-based alerting have significantly narrowed detection windows for most failure types, but MTTD remains stubbornly high for a specific silent failure. This blog covers why type mismatches, swallowed exceptions, and values that pass validation without occurring without triggering errors, and what changes when your monitoring stack can generate those signals without waiting for a failure to surface them.
How the Coralogix CLI Adds Production Intelligence to Any Agent for Any Use Case
The new interface into production telemetry is a tool call, made from whichever agent runtime the operator happens to be using at that moment. A finance lead in Claude Code, a product manager in Cursor, an engineer in Codex. Three different jobs, three different agents, three different reasoning loops. The thing they have in common is the data layer underneath.
BigPanda + ServiceNow: Autonomous IT Operations in Action
Most AI tools recommend the next step. BigPanda's AI specialists take it — autonomously, inside ServiceNow and Now Assist. Watch how BigPanda and ServiceNow work together to detect, triage, investigate, and resolve incidents end-to-end.
AI Enablement for Dev Teams: The 6-Pillar Flywheel
AI adoption is already happening on your team, whether you have a strategy or not. Tracy Lee (CEO of This Dot Labs, Microsoft MVP, Google Developer Expert) breaks down the AI Enablement Flywheel — a 6-pillar framework used by successful engineering organizations to move from scattered experimentation to scalable, ROI-positive AI workflows.
Federated Search | From Silos to Insight | Unified Datasets in AWS S3 with Ingest Processor
Are storage costs and data silos slowing down your investigations? In this video, we dive into the Unified Dataset Experience to show you how to search data where it lives. Learn how to use the Splunk Ingest Processor to route high volume logs directly to AWS S3 while maintaining instant visibility via Federated Search. No more re-hydrating data, just fast cost-effective insights.
AI Diagnostics in Kentik NMS (Network Monitoring System)
Network problems are easy to spot. Proving root cause is the hard part — and it’s where most of MTTR gets burned. Kentik’s new AI diagnostics in the Network Monitoring System (NMS) close the gap between detection and diagnosis by bringing three capabilities directly into Kentik AI Advisor.
Get Observability in the Terminal, for You and Your Agents: gcx
The way you write code is changing, which means the way you observe your systems and respond to issues needs to change, too. Engineers today spend much of their day working via command line, as agentic tools like Cursor and Claude Code have become highly effective at handling many day-to-day engineering tasks. This greatly accelerates code generation, but it doesn't solve for the context switching that comes when you have to jump into another tool that's not part of this new, faster workflow.