Overview
Calmo is an AI-powered debugging copilot that helps developers diagnose and fix production issues up to 10x faster. Instead of manually combing through logs, traces, and metrics, Calmo connects to your existing observability stack and automatically surfaces the root cause behind incidents, performance regressions, and edge-case failures. By combining application context, user impact, and infrastructure signals, it explains what went wrong in clear, developer-friendly language and suggests the next steps to remediate.
Designed for modern engineering teams, Calmo fits naturally into your existing workflow. It can be triggered directly from error pages, dashboards, or alert notifications, and it keeps a full timeline of each incident so teammates can collaborate and learn from previous outages. Calmo reduces the time spent on repetitive investigation work, freeing engineers to focus on building features instead of chasing issues in production.
Calmo supports a wide range of languages, frameworks, and cloud environments, making it ideal for SaaS products, APIs, microservices, and complex distributed systems. Whether you are on call, leading an SRE team, or managing a fast‑moving dev squad, Calmo gives you an AI partner that understands your system behavior and helps you restore reliability quickly and confidently.
Pricing
Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.
Visit WebsitePrices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.
Use Cases
- On-call engineers quickly investigate production incidents by letting Calmo correlate logs, traces, and metrics to highlight the most likely root cause and impacted services.
- Backend teams analyze recurring errors in APIs or microservices, using Calmo’s explanations and suggestions to implement durable fixes instead of temporary workarounds.
- SRE and DevOps teams streamline incident response by triggering Calmo from alerts, then sharing its incident timeline and insights during postmortems.
- Product engineering teams monitor new feature rollouts, relying on Calmo to flag performance regressions and surface the specific code paths causing slowdowns.
- Technical leads and engineering managers use Calmo’s historical incident context to improve reliability practices and reduce future downtime.
Features
AI-powered root cause analysis
Unified view of logs and traces
Context-aware incident explanations
Actionable remediation suggestions
Seamless integration with observability
Collaboration-friendly incident timelines
Works across services and environments
Reduces mean time to resolution
Reviews
No reviews yet. Be the first to share your experience!
FAQ
What is Calmo and who is it for?
Calmo is an AI-powered debugging and incident analysis tool designed for developers, SREs, and DevOps teams who need to understand and fix production issues faster.
How does Calmo work with my existing logging and monitoring tools?
Calmo connects to your existing observability tools and ingests logs, traces, and metrics, then uses AI to correlate events and generate explanations without replacing your current stack.
Does Calmo support multiple programming languages and environments?
Yes. Calmo is designed to work across polyglot stacks, microservices, and cloud environments, as long as relevant telemetry data is available from your observability tools.
Will Calmo automatically fix issues in production?
Calmo does not make changes to your production systems. It analyzes data, explains incidents, and suggests remediation steps so your team can safely apply the fixes.
How is pricing handled for Calmo?
Pricing details are not publicly listed and may depend on your team size and usage; contact the Calmo team through the website for up-to-date plans and pricing.