causal reasoning
What Is a Causal Model in Observability?
A causal model isn’t an LLM. Here’s what causal models are, how they differ from rules engines and correlation, and why agents need them.
causal reasoning
A causal model isn’t an LLM. Here’s what causal models are, how they differ from rules engines and correlation, and why agents need them.
Causely product
Causely maps an agentic app's agent sessions, MCP tools and services, then traces failed runs to the cause: a broken tool contract or an MCP server exception.
Causely product
With the Causely MCP server, AWS DevOps Agent halved its investigation time and cut tool calls from 36 to 10. With an external fault, 3 minutes instead of 15.
ai-agents
Causely joins the AAIF along with A2A from Google. Agents can now talk over an open standard, but what they say is only as good as the context they start from.
AI
Most frontier LLMs degrade badly by ~1,000 tokens of input, not the millions in their spec sheets. For on-call agents, that means accuracy drops exactly as an incident gets complex. The fix isn't a bigger model. It's not handing the LLM the raw data at all.
AI
Causely is now a Cursor plugin. Your coding agent gets causal context from your live environment and can move from emerging causes of reliability risk to code-level fixes in the IDE.
AI
Most AI SRE agents are stuck on Read-Only — not because teams lack trust, but because raw telemetry offers no causal context to act on with confidence.
Causality
Originally published to the Slight Reliability Podcast.
DevOps & SRE
How Causely uses FluxCD and GitOps to ship weekly on Kubernetes, keep clusters in sync, and wire up OpenTelemetry and Causely in a hands-on lab you can copy.
Blog
In a 50 to 100+ microservice environment with dense service-to-service dependencies, even small regressions can cascade silently. And slowing down isn’t an option. Leadership needs faster delivery and fewer incidents. This is why we built Reliability Delta.
Podcast
Originally posted as a livestream from OllyGarden.
DevOps & SRE
Originally posted to Techstrong.tv. Learn how Causely integrates reliability engineering into product development, tackling challenges in cloud-native applications.