Operations | Monitoring | ITSM | DevOps | Cloud

The new MCP (Model Context Protocol) release makes it stateless, here's what you need to know if you are building AI agents and remote MCP servers.

WATCH THE FULL EPISODE: click the link above Welcome to Episode 2 of Live Laugh Logs, the podcast from Annie, Lewis, and Andre from the Coralogix Developer Relations team, where we get together and recap everything going on in our worlds!

Are companies blowing through their entire 2026 AI budget in a matter of months? Welcome to Episode 2 of Live Laugh Logs, the podcast from Annie, Lewis, and Andre from the Coralogix Developer Relations team, where we get together and recap everything going on in our worlds!

If you're building agents trying to figure out the best way to actually make them successful in production, you're going to want to know about headless observability. Headless observability means an agent can access information about the health of your system through a CLI instead of clicking around dashboards. It's the data layer that going to unlock serious autonomy and allow you to scale with agentic workloads.

OpenTelemetry has turned observability pipelines into production infrastructure, but managing them at scale often creates a massive operational burden. In this demo, we show how Coralogix Fleet Management acts as the central control plane for your OTel ecosystem, providing the governance and orchestration required for modern DevOps. Stop the "manual marathon" of PRs and Helm upgrades. Move toward a safer, more predictable operating model where telemetry is consistent, audited, and scalable.

AI is only as useful as the context you give it. An autonomous observability agent can unlock serious value from your telemetry, but only when the foundation is right: good telemetry, a strong data layer, and efficient access to the data. Annie Freeman and Lewis Isaac had a lot to say about this at AWS Summit London this week! hashtag#Observability hashtag#AI hashtag#AWSSummitLondon hashtag#DevOps hashtag#OpenTelemetry.

What happens when 20,000 engineers descend on Amsterdam to talk about Kubernetes and AI? Welcome to Episode 1 of Live Laugh Logs, the podcast from Annie, Lewis and Andre from the Coralogix Developer Relations team where we will get together and recap everything going on in our worlds! We had an amazing time at KubeCon in Amsterdam and had loads of insights from the talks we went to around designing observability systems, all the AI tools being created and how to observe them, and using agent-generated code.

Stop the "Scavenger Hunt" during incidents. In this video, we walk through the new Coralogix Trace Drilldown, now GA for all customers. Learn how to move from high-level trace views to deep span insights in a single, unified workspace—without ever losing context. Whether you're investigating a latency spike or a failing microservice, the Trace Drilldown helps you answer "Where is the bottleneck?" from three different perspectives in one frame. What you’ll learn.

Transform millions of spans into a clear visual map. In this demo, we use Coralogix Trace Highlights to isolate a performance regression and pivot from 400k spans down to the exact root cause in just a few clicks.