Introducing Autoheal, the AI for Production Engineering

Introducing Autoheal, the AI for
Production Engineering

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)

Amazon Web Services
Infrastructure

Query CloudWatch logs and metrics, inspect EC2 instances, ECS services, and EKS clusters during investigations. Secure OIDC federation — no static credentials.

Azure DevOps
CI/CD

Review pipelines, repositories, and work items to trace CI/CD changes that may have caused an incident.

Bitbucket
Code Repository

Review recent commits, pull requests, and pipelines to identify code changes behind an incident.

ClickHouse
Data Store

Run analytical queries against ClickHouse during investigations to surface trends and anomalies.

Cloudflare
Infrastructure

Investigate DNS changes, review WAF events, and check edge performance metrics when diagnosing customer-facing issues.

Confluence
Documentation

Pull in existing runbooks and documentation so investigations have the right context from the start.

Databricks
Data Store

Query SQL Warehouses, check ETL job health, and inspect cluster status to pinpoint data pipeline issues during incidents.

Datadog
Observability

Search logs, query metrics, trace distributed requests, and review monitors to quickly pinpoint the root cause of incidents.

Dynatrace
Observability

Leverage AI-powered root cause analysis and full-stack traces to accelerate incident diagnosis.

Elasticsearch
Data Store

Search and analyze log data stored in Elasticsearch to find patterns and errors during investigations.

Email (SMTP/IMAP)
Communication

Send and receive email notifications so investigations can trigger alerts and capture responses automatically.

FireHydrant
Incident Management

Coordinate incident response, track status pages, and automate runbook steps during active incidents.

GCP GKE
Infrastructure

Inspect GKE cluster health, workload status, and container logs to troubleshoot Kubernetes issues on Google Cloud.

GitHub
Code Repository

Review recent commits, pull requests, and CI/CD runs to identify code changes that may have caused an incident.

GitLab
Code Repository

Review recent commits, merge requests, and pipeline runs to identify code changes that may have caused an incident.

Grafana
Observability

Query Loki logs and Prometheus metrics through Grafana to correlate signals and visualize system behavior during incidents.

Grafana Loki
Observability

Search and aggregate logs across distributed systems to find the needle in the haystack during incidents.

Honeycomb
Observability

Trace requests across services and explore high-cardinality data to isolate the source of issues.

Jenkins
CI/CD

Check build statuses, review pipeline logs, and trace deployments to pinpoint when a problem was introduced.

Jira
Issue Tracking

Create and update tickets automatically as investigations progress, keeping your issue tracker in sync.

Kubernetes
Infrastructure

Inspect pod health, review events, and check resource utilization to diagnose infrastructure issues fast.

Linear
Issue Tracking

Create and track engineering issues automatically as investigations uncover action items.

Microsoft Teams
Chat

Receive alerts and investigation updates directly in Microsoft Teams channels.

MongoDB
Data Store

Query document collections and check database health to verify application state during investigations.

MS SQL Server
Data Store

Query operational data in SQL Server to check application state and surface anomalies during investigations.

Neo4j
Data Store

Traverse knowledge graphs to map service dependencies and understand blast radius during incidents.

New Relic
Observability

Analyze APM traces, infrastructure metrics, and error rates to quickly narrow down the source of incidents.

Notion
Documentation

Pull in team documentation and knowledge bases from Notion to enrich investigations with existing context.

Opsgenie
Incident Management

Manage alerts, check on-call schedules, and coordinate incident response from a single pane of glass.

PagerDuty
Incident Management

See who is on-call, review active incidents, and correlate alerts to understand the full picture during an investigation.

PostgreSQL
Data Store

Query application databases to verify data state and surface anomalies during investigations.

Prometheus
Observability

Query time-series metrics and review alert rules to correlate system behavior with incident timelines.

Pylon
Customer Support

Automatically investigate new customer support tickets and post findings back to your Pylon conversations.

ReadMe.com Docs
Documentation

Search your ReadMe.com documentation — both public and password-protected — to find relevant context fast.

Sentry
Observability

Surface error trends, stack traces, and release health data to quickly identify regressions during incidents.

ServiceNow
ITSM

Create and update ITSM tickets automatically, keeping change management in sync with investigations.

Slack
Chat

Mention @Autoheal in any Slack channel to kick off an investigation. Get findings posted back to the thread in real time.

Snowflake
Data Store

Run analytical queries against your data warehouse to surface trends and verify data pipeline health.

SonarQube
Security

Review code quality reports and security findings to identify vulnerabilities related to an incident.

Temporal
Infrastructure

Inspect workflow executions, query task queue health, and debug stuck workflows to resolve orchestration issues.

Zendesk
Customer Support

Automatically investigate incoming support tickets and post diagnostic findings back to your agents.

Zoom
Communication

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.

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