Telemetry IQ

Introducing Mills, the world's first agentic telemetry management platform. Cuts observability costs by 60–80%, improves data quality, and operates your entire telemetry lifecycle autonomously.

Kubernetes log management fails at the volume layer. Where K8s log cost actually lives and the lifecycle decisions that contain it.

End-to-end observability means tracing any failure from user impact to root cause without gaps. Most teams think they have it. Here's what it actually looks like.

Agent-written code can pass tests but still fail to explain itself in production. How to make observability part of the agentic coding contract.

Log collection comparison of Vector vs OTel Collector for DevOps teams evaluating performance, installation, filtering, transformation, community, and production usability.

Your Datadog bill isn't a pricing problem. It's a telemetry volume problem. Learn why migrating to a cheaper vendor just restarts the cycle, and what actually controls costs at the source.

Learn how a CTO used agentic engineering to 10x productivity with limited coding time. Real workflow, 4 core principles, and results: 26 to 178 PRs/month across 34 repos.

After one year out of stealth, Sawmills reflects on how its AI-powered telemetry management platform is helping enterprises cut observability costs by 50–80% while improving data quality — without ripping out existing tools.

Avoid surprise Datadog bills by mastering high-cardinality metrics. Learn best practices and see how Sawmills’ AI-powered telemetry control slashes observability costs.

Learn how BigPanda uses AI telemetry management to cut observability costs