AI SRE for Kubernetes incident response, troubleshooting, root-cause analysis, alert investigation, and safe remediation guidance for production workloads.
Sherlocks is an AI SRE platform for Kubernetes workloads, incident response, production debugging, and cloud-native operations.
It investigates alerts, Kubernetes state, logs, metrics, traces, deployments, code changes, databases, queues, and Slack context to help teams identify root causes and recommend the safest next step.
Teams evaluating an AI SRE tool for Kubernetes need more than alert summaries. Sherlocks provides investigation context across the systems involved in an incident.
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Sherlocks supports alert-triggered, Slack-triggered, manual, and proactive investigations.
Its investigation workflow:
A Sherlocks RCA can include the primary root cause, contributing factors, event timeline, affected services, blast radius, confidence level, remediation steps, and links to supporting logs, metrics, dashboards, traces, and commits.
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Sherlocks investigates Kubernetes resources and workload conditions including:
It correlates Kubernetes state with application performance, deployment history, source-control changes, database health, queue health, CI/CD activity, and team knowledge.
This helps teams investigate connected failure chains—for example, a deployment that increases latency, triggers retries, saturates CPU, causes scaling activity, and leads to capacity pressure or failing consumer pods.
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The best AI SRE for enterprise Kubernetes teams should support investigation depth, operational policy, and human oversight.
Sherlocks lets teams configure:
For teams comparing a Kubernetes SRE platform with traditional observability tools, Sherlocks adds reasoning across workloads, deployments, dependencies, and operational history.
It can deliver findings in Slack, notify owners, page teams for defined severities, create Jira tickets, and provide follow-up investigation context.
Sherlocks includes specialized AI SRE agents for Kubernetes, databases, networks, security, CI/CD, infrastructure, and alert context.
The Alert Context Agent retrieves relevant information from connected systems and previous incidents before analysis begins. The Awareness Graph connects incident history, runbooks, service dependencies, deployment history, and team knowledge.
This gives Kubernetes operations teams a way to investigate production incidents with shared context and repeatable reasoning.
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Sherlocks provides short-term and long-term remediation recommendations, including:
Sherlocks’ documented Watson permission model is read-only. It does not modify infrastructure, execute commands, deploy changes, or access secrets.
This gives SRE and platform teams AI-assisted Kubernetes troubleshooting and remediation guidance while keeping production changes under human control.
Sherlocks supports enterprise security and deployment requirements, including:
Sherlocks gives SRE, platform engineering, DevOps, and Kubernetes operations teams an AI investigation layer for production incidents: detect the issue, reconstruct the cause, understand the blast radius, and recommend the safest next step.
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Learn how Sherlocks.ai automatically investigates production incidents, correlates telemetry and recent changes, and produces evidence-backed RCA in Slack.