What is causal AI?
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Auto-instrumenting Java with eBPF: No JVM changes required
Getting OpenTelemetry into Java enterprise applications without touching the JVM has been a persistent gap. OBI changes that, and for Causely customers, it unlocks the topology data needed to pinpoint root causes across complex Java microservice architectures.
Causely MCP Skills: stop prompt-engineering your reliability agent
Causely MCP Skills are live. One master router + six specialist workflows: alert triage, change impact, K8s investigation, postmortems & more. Describe your situation, Skills pick the right tools. No prompt engineering. No orchestration.
Semantics in Observability
Observability semantics fall into six layers, from entity inventory to constraints. Most tooling reaches layer two. This post defines all six precisely.
Why GenAI applications are hard to operate
Standard observability tools were built for deterministic systems. GenAI applications break that contract — token counts shift, tool call patterns change, completion rates drop — and none of it fires an alert. Here is what OTel GenAI instrumentation gives you today, and where the gaps remain.