Operations | Monitoring | ITSM | DevOps | Cloud

#observability #claudecode #podcastclips

#aiagents #claudecode #podcastclips

Agent mode in the Coralogix CLI cuts token consumption by nearly 50%, without sacrificing the context your agents need to actually do their job.

Dataspaces and Datasets | The Structured Data Layer for Teams and AI | Coralogix Dataspaces and Datasets from Coralogix: the structured data layer teams and AI were waiting for. Turn a single query into a reusable dataset, share it across teams, and keep dashboards fast as your data scales. In this video: Timestamps: Dataspaces and Datasets are available now in Coralogix. Whether you're building dashboards, running background queries, or powering AI agents with telemetry data, Dataspaces give your organization a governed, high-performance data architecture that scales with your teams.

Learn how to create a user-defined dataset in Coralogix and route telemetry data into it using TCO policies with granular DataPrime expressions. In this walkthrough, you'll learn how to:• Create a new dataset with its own schema, permissions, retention, and cost visibility• Configure PBAC settings for governed access control• Route data using DataPrime expressions in TCO policies• Fan out events to multiple datasets from a single source.

#claudecode #anthropic #observability

I tested the new Anthropic model Fable 5 truly is using data, not vibes. Why does it feel faster? Does it actually cost double? Is it better at coding?

Stop editing raw YAML by hand. Discover how to build, validate, and scale complex OTel pipelines visually with the Visual Builder for Coralogix Fleet Management.

Kubernetes dashboards often mask a system infrastructure failure. When a critical application crashes, it often points to an Out-of-Memory event. Even while standard CPU metrics appear completely healthy. This quick walkthrough shows you how Coralogix integrates continuous memory profiling directly into your production environment. We pair OpenTelemetry trace data with continuous background sampling via the Async Profiler. It helps teams isolate resource heavy code paths before they trigger system degradation.

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.