New features, improvements, and updates to Kestrel.
Turn Kestrel Workflows into a self-service internal developer platform. Your team requests infrastructure, deployments, and investigations in plain English — from Slack, the CLI, or the in-platform Developer Request Agent — and Kestrel routes each request to a governed, approval-gated workflow.
When a workflow run fails, open the Failure Diagnosis agent to understand exactly what went wrong — and generate a corrected workflow you can save with one click.
A conversational agent that builds workflows from a description, a question, or your existing runbooks and scripts. Upload a runbook, point it at a script in your repo, or just describe your ops process — and get a production-ready workflow back.
Kestrel analyzes your connected integrations and generates ready-to-deploy workflows — with the right triggers, actions, and variables already wired up. The fastest way to know exactly what to automate next.
A typed, fluent Python SDK for building and operating Kestrel Workflows as code. Define triggers, actions, conditions, and approvals with full autocompletion; deploy, test, manage executions, approvals, versioning, and replays — sync or async.
Drive Kestrel Workflows from your terminal with the Kestrel CLI — list, generate, activate, test, approve, and replay. Plus an MCP server that lets AI coding assistants like Cursor, Claude, and Codex manage workflows for you.
A real-time dashboard and execution history for every workflow run. See what's running, what's waiting on approval, and what failed — with step-level logs, durations, and failure reasons inline.
Decide who can trigger a workflow and who has to sign off before it runs. Add approval gates that pause a workflow until someone approves — in the platform, in Slack, or by merging a pull request.
Connect anything with an HTTP API or webhooks. Build custom action blocks from a cURL command and custom webhook triggers from an example payload — Kestrel's AI wires up the auth, parameters, and field mappings for you.
Describe what you want in plain English and the Workflow Agent builds a production-ready automation — for incident response, cloud provisioning, CI/CD, developer requests, and more. AI builds the workflow; deterministic execution runs it the same way every time.
When an application-level incident occurs, Kestrel automatically identifies which recently merged pull requests or commits likely introduced the breaking change.
Kestrel now ingests your PagerDuty alerts as signals to automatically investigate cloud and Kubernetes incidents, and adds an AI chat interface directly inside PagerDuty notes.
Connect GitLab repositories for both IaC and GitOps workflows. Kestrel reads your Terraform code, finds misconfigurations, and opens merge requests. For Kubernetes, deploy YAML changes to GitLab with an interactive file browser.
Deploy Kestrel in your own cloud environment with full data sovereignty. Standard deployment with internet access, or fully air-gapped using VPC/Private endpoints.
Connect your existing OpenTelemetry pipeline to give Kestrel real-time metrics context during incident investigation.
Route Kestrel incidents to PagerDuty with full root cause analysis, AI-generated fixes, and automatic resolution when remediations are applied.
Full OCI support with resource inventory, VCN Flow Logs, topology visualization, and AI-powered incident response.
Connect Slack, Notion, Confluence, Jira, Linear, and Glean and Kestrel will learn from your team's past incidents.
Manage the full incident response lifecycle from Slack - get notified, ask questions, apply fixes, and validate resolutions without leaving your chat.
Real-time detection and remediation for cloud infrastructure incidents before they become outages.
Ask any cloud infrastructure question in natural language and get answers 10x faster than manual investigation.
Visualize your entire cloud infrastructure with AI-powered workload classification and real-time traffic.
Real-time detection and remediation for Kubernetes incidents before they become outages.
