Causely product
Causely Feature Demo: Diagnosing Failures in an Agentic App
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.
Blog
AI
Why Your AI SRE Agent Is Stuck on Read-Only
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.
Blog
How Humm Group Delivered Flawlessly in a High-Stakes Product Launch
Launching a new fintech product required certainty across a complex microservices platform. With Causely modeling cause-and-effect relationships across services, Humm Group gained system-level understanding and confidence that critical dependencies behaved correctly during launch.
Blog
Announcing Reliability Delta: Clear, Objective Insight into Whether Your Release Made Your System Better or Worse
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.
Blog
Drinking the OTel SODA: Send Observability Data Anywhere
With community-standard instrumentation and the OTel Collector, your metrics, logs, and traces are no longer trapped in a walled garden. Originally posted to the ClickHouse blog.
Blog
Introducing Causely’s MCP Server for Automated Remediation in Kubernetes and Beyond
The Causely MCP Server brings our Causal Reasoning Engine directly into the IDE so engineers can understand why incidents happen and apply the right fix at the right layer, whether that’s runtime, configuration, or code.
Blog
How Causely and Google Gemini Are Powering Autonomous Reliability
Gemini’s ability to interpret natural language, generate structured code, and summarize technical context complements Causely’s deterministic causal inference engine, turning complex telemetry into clear and reliable insights.
Blog
Zero Downtime at 30,000 RPS: How Quantum Metric Rearchitected with Causely
During a high-risk migration, Causely gave Quantum Metric a new kind of clarity rooted in cause-and-effect across dynamic systems. This helped them improve how they think about managing complexity at scale and move fast without breaking things.
Blog
Causely Brings Causal Intelligence to IBM Instana
Causely already mediates to OpenTelemetry, Datadog, and Dynatrace to consume traces, metrics, alerts and logs. Today we’re adding IBM Instana Observability to that list.
Blog
Thank You, Grafana: How Beyla Helped Us, and How You Can Use it Too!
By open-sourcing eBPF-based auto-instrumentation and then donating it as an OpenTelemetry BPF Instrumentation (OBI) project, Grafana didn’t just release code, they lowered the onramp for observability.
Blog
How a Leading Gaming Platform Prevented Revenue Loss Using Causely in Grafana
With Causely + Grafana, the gaming platform can spot reliability risks early, take the right action, and avoid revenue-impacting incidents before users even notice.