coverage
TechTimes: Causely Launches MCP Server for Automated Issue Resolution in Kubernetes
Reposted from its original publication on TechTimes by Carl Williams
Latest
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
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.
AI
Modern CTO Podcast: The AI SRE Hype and How to Get it Right
Modern CTO Podcast's Joel Beasley sits down with Causely CEO Yotam Yemini to dive deep into the world of AI Site Reliability Engineering.
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.
coverage
Do You Even Need Kubernetes for Reliable Service Delivery?
Kubernetes has become the default backbone of cloud native architecture. But does it actually help you ship services more reliably, or is it just more moving parts?
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.
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.