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.
Causely product
Causely product
Alerts Aren’t the Investigation: What Comes Next in Incident Response?
Alerts are signals, not explanations. By explicitly mapping alerts to symptoms and inferred root causes, Causely turns alert noise into a coherent explanation of what is actually happening in the system.
Causely product
When Asynchronous Systems Fail Quietly, Reliability Teams Pay the Price
Causely’s causal model has been expanded for asynchronous messaging systems. Instead of treating queues as opaque buffers, Causely models messaging infrastructure as it operates in production, making asynchronous failures explicit and explainable.
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.
Causely product
Causely Introduces MCP Server for Automated Remediation Across Kubernetes and Application Code
Causely announced the launch of the Causely MCP Server that seamlessly integrates into any MCP-compatible IDE and enables developers to automatically diagnose, understand, and remediate complex issues within Kubernetes and application code using natural language prompts.
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.
Press Release
Causely Pairs Its Causal Reasoning Engine with Gemini for Automated Service Reliability
Causely now leverages Google’s Gemini models to enhance how users interact with its Causal Reasoning Engine.
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
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.
Blog
Causely Feature Demo: From Root Cause to Business Impact with Causely and ClickStack by ClickHouse
See how Causely and ClickStack by ClickHouse help teams fix failures confidently and address their real-world impact.
Blog
Causely Feature Demo: Accelerate Incident Response with Causely + incident.io
By combining Causely’s causal reasoning engine with incident.io’s powerful automation platform, engineering teams can identify the true root cause of incidents faster and respond with greater focus.