24 articles tagged with Observability.
AIOps applies machine learning to your operational telemetry to cut alert noise, catch anomalies early, and speed up incident response.
A practitioner's guide to tracing, evaluating, and debugging LLM agents in production with the tools that actually earn their keep.
The observability market is huge and the pricing is a minefield. This is the map to the tools that matter, what each is best at, and how to avoid a runaway bill.
A practitioner's guide to tracing, cost tracking, and evaluating LLM apps in production with Langfuse, Helicone, Arize Phoenix, and LangSmith.
One tool is built to answer questions you didn't know you had. The other watches everything at once. Here is how they actually differ in practice.
Datadog bills climb quietly until finance forwards the invoice. Here's the playbook we run to cut spend hard while keeping every signal that matters.
Edge code runs in hundreds of PoPs, lives for milliseconds, and gives you no shell. Here's how we get logs, traces, and metrics out of it anyway.
Datadog does everything and bills you for all of it. SigNoz covers the core APM story on your own ClickHouse. Here's when the trade is worth it.
OTel promises no lock-in, vendor agents promise zero-config depth. Here is where each one actually earns its keep once you run it in production.
Grafana pulls metrics from anywhere, Kibana lives and dies with Elasticsearch. Here's how we pick between them without ending up running both by accident.
New Relic's pricing swings and feature gaps push teams to shop around. Here's a field-tested look at seven alternatives, who each one fits, and how to move.
Your Datadog bill didn't spike because you monitored more. It spiked because containers, custom metrics, and log volume all bill on axes you never think about.
