All your integrations in one place
Unify your production context with a wide range of integrations, from infrastructure, observability, code, DevOps, documentation and collaboration tools.
All Integrations (42)
Query CloudWatch logs and metrics, inspect EC2 instances, ECS services, and EKS clusters during investigations. Secure OIDC federation — no static credentials.
Review pipelines, repositories, and work items to trace CI/CD changes that may have caused an incident.
Review recent commits, pull requests, and pipelines to identify code changes behind an incident.
Run analytical queries against ClickHouse during investigations to surface trends and anomalies.
Investigate DNS changes, review WAF events, and check edge performance metrics when diagnosing customer-facing issues.
Pull in existing runbooks and documentation so investigations have the right context from the start.
Query SQL Warehouses, check ETL job health, and inspect cluster status to pinpoint data pipeline issues during incidents.
Search logs, query metrics, trace distributed requests, and review monitors to quickly pinpoint the root cause of incidents.
Leverage AI-powered root cause analysis and full-stack traces to accelerate incident diagnosis.
Search and analyze log data stored in Elasticsearch to find patterns and errors during investigations.
Send and receive email notifications so investigations can trigger alerts and capture responses automatically.
Coordinate incident response, track status pages, and automate runbook steps during active incidents.
Inspect GKE cluster health, workload status, and container logs to troubleshoot Kubernetes issues on Google Cloud.
Review recent commits, pull requests, and CI/CD runs to identify code changes that may have caused an incident.
Review recent commits, merge requests, and pipeline runs to identify code changes that may have caused an incident.
Query Loki logs and Prometheus metrics through Grafana to correlate signals and visualize system behavior during incidents.
Search and aggregate logs across distributed systems to find the needle in the haystack during incidents.
Trace requests across services and explore high-cardinality data to isolate the source of issues.
Check build statuses, review pipeline logs, and trace deployments to pinpoint when a problem was introduced.
Create and update tickets automatically as investigations progress, keeping your issue tracker in sync.
Inspect pod health, review events, and check resource utilization to diagnose infrastructure issues fast.
Create and track engineering issues automatically as investigations uncover action items.
Receive alerts and investigation updates directly in Microsoft Teams channels.
Query document collections and check database health to verify application state during investigations.
Query operational data in SQL Server to check application state and surface anomalies during investigations.
Traverse knowledge graphs to map service dependencies and understand blast radius during incidents.
Analyze APM traces, infrastructure metrics, and error rates to quickly narrow down the source of incidents.
Pull in team documentation and knowledge bases from Notion to enrich investigations with existing context.
Manage alerts, check on-call schedules, and coordinate incident response from a single pane of glass.
See who is on-call, review active incidents, and correlate alerts to understand the full picture during an investigation.
Query application databases to verify data state and surface anomalies during investigations.
Query time-series metrics and review alert rules to correlate system behavior with incident timelines.
Automatically investigate new customer support tickets and post findings back to your Pylon conversations.
Search your ReadMe.com documentation — both public and password-protected — to find relevant context fast.
Surface error trends, stack traces, and release health data to quickly identify regressions during incidents.
Create and update ITSM tickets automatically, keeping change management in sync with investigations.
Mention @Autoheal in any Slack channel to kick off an investigation. Get findings posted back to the thread in real time.
Run analytical queries against your data warehouse to surface trends and verify data pipeline health.
Review code quality reports and security findings to identify vulnerabilities related to an incident.
Inspect workflow executions, query task queue health, and debug stuck workflows to resolve orchestration issues.
Automatically investigate incoming support tickets and post diagnostic findings back to your agents.
Spin up incident bridges and coordinate real-time communication during active incidents.
Need a custom integration?
No worries, our team can build custom integrations to connect to any system you need. Book a call with us to discuss.
Book a call
