Calmo
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Calmo is an advanced AI-driven platform designed to drastically reduce Mean Time To Resolution (MTTR) for engineering teams by accelerating production incident debugging. It integrates seamlessly with existing observability stacks to provide instant root cause analysis, comprehensive contextual information, and actionable fix suggestions directly from logs, metrics, and traces. This enables on-call engineers and SREs to understand complex system failures rapidly and implement solutions more efficiently, transforming reactive incident response into a more proactive and informed process, ultimately boosting operational efficiency and system reliability.
What It Does
Calmo connects to an organization's existing observability tools, ingesting and correlating data from logs, metrics, and traces without requiring new agents. Its AI engine then analyzes this aggregated data to detect anomalies, identify the causal chain of events leading to an incident, and present a clear root cause with relevant context. Crucially, it also proposes concrete fix suggestions, including potential code snippets or remediation steps, to streamline the debugging process and accelerate resolution.
Pricing
Pricing Plans
Basic debugging for small teams to get started.
- Up to 3 users
- 1M log lines/month
- 100 alerts/month
Enhanced debugging for growing teams with more logs and alerts.
- Up to 10 users
- 10M log lines/month
- 1000 alerts/month
- Additional usage at $0.50/M log lines
Scalable solution for large organizations with specific needs.
- Unlimited users
- Custom log/alert volume
- Dedicated support
- Advanced features
Key Features
Calmo offers instant root cause analysis by intelligently correlating disparate data points across logs, metrics, and traces, providing a unified view of complex incidents. It delivers rich contextual insights, surfacing all relevant information surrounding an issue to eliminate manual data sifting. The platform stands out by generating actionable fix suggestions, moving beyond mere detection to direct problem resolution. Seamless integrations with popular tools like Slack, Jira, and PagerDuty ensure workflow incorporation, while its agentless architecture simplifies deployment and reduces overhead.
Target Audience
Calmo is specifically designed for engineering teams, including Site Reliability Engineers (SREs), DevOps engineers, on-call developers, and engineering managers responsible for maintaining production systems. Organizations struggling with long Mean Time To Resolution (MTTR) and the complexity of debugging distributed systems will find significant value.
Value Proposition
Calmo uniquely combines AI-driven root cause analysis with actionable fix suggestions, moving beyond traditional monitoring and alerting to provide immediate, prescriptive guidance. It solves the critical problem of sifting through vast amounts of data during incidents by offering instant, correlated insights and reducing the cognitive load on engineers. This significantly accelerates debugging, minimizes downtime, and frees up valuable engineering time, directly impacting operational efficiency and system reliability.
Use Cases
When a critical service experiences an outage, Calmo provides instant analysis of logs, metrics, and traces to identify the root cause and suggest a fix, enabling rapid recovery. Engineers can also utilize Calmo for proactive anomaly detection, receiving early warnings and potential causes before issues escalate into major incidents. For post-mortem analysis, Calmo helps conduct thorough reviews by outlining incident timelines and root causes. It also streamlines on-call handovers by providing clear summaries of ongoing issues, and accelerates debugging for new deployments by quickly pinpointing newly introduced problems.
Frequently Asked Questions
Calmo offers a free plan with limited features. Paid plans are available for additional features and capabilities. Available plans include: Free Forever, Pro, Enterprise.
Calmo connects to an organization's existing observability tools, ingesting and correlating data from logs, metrics, and traces without requiring new agents. Its AI engine then analyzes this aggregated data to detect anomalies, identify the causal chain of events leading to an incident, and present a clear root cause with relevant context. Crucially, it also proposes concrete fix suggestions, including potential code snippets or remediation steps, to streamline the debugging process and accelerate resolution.
Calmo is best suited for Calmo is specifically designed for engineering teams, including Site Reliability Engineers (SREs), DevOps engineers, on-call developers, and engineering managers responsible for maintaining production systems. Organizations struggling with long Mean Time To Resolution (MTTR) and the complexity of debugging distributed systems will find significant value..
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