From a technical point of view, Kestra sits at the first place.
Software, Consulting & Service Providers
One orchestration engine for
every client, every product, every delivery.
Onboard customers, ship environments, and run multi-tenant workloads on the platform your delivery team already wants. Build it once, deliver it identically the next fifty times. Replace the brittle automation between your product and your customers.
onboard-tenant 4.2s
✓ provision_infra terraform.cli.TerraformCLI 12 resources
✓ deploy_default_flows core.flow.Subflow 4 flows
✓ seed_baseline_data jdbc.postgresql.Query 250 rows
✓ install_app_stack kubernetes.PodCreate ready
✓ run_validation core.flow.Parallel 8 checks
✓ notify_cs notifications.slack sent
Trusted by software vendors, SaaS platforms, consultancies & managed-service providers 
One control plane for the platforms software and services teams ship.
Customer onboarding. Environment-as-a-Service. Multi-tenant data pipelines. AI in your product. Whether you're shipping a SaaS, running a managed service, or delivering for a client, the engine is the same. Cloud, self-hosted, or air-gapped. Multi-tenant by namespace. Audit-ready by default.
TRIGGER
Customer signup / order event
API call from your product
Schedule / SLA window
Git push / version bump
Webhook from upstream service
Support ticket / escalation
INGEST
Salesforce, HubSpot, Stripe
Snowflake, Databricks, Postgres
Identity (Okta, Azure AD, LDAP)
Vault, AWS, GCP, Azure secrets
Cloud APIs across AWS, GCP, Azure
Internal product & billing APIs
PROCESS
Terraform, Ansible, Argo CD
dbt, Spark, Python, Java, Scala
LLM, OCR, classification, scoring
Per-tenant validation & policy
Approval gates & human review
Compliance & audit hooks
ACT
Provision tenant resources
Deploy to client environments
Publish to lakehouse / warehouse
Notify customer, on-call, or CS
Update CRM, billing, ticketing
Sign and archive audit bundle
Each step is a declarative YAML task. Wrap a brittle Python wrapper today. Replace it with a flow tomorrow. Build it once, deliver it identically across every client.
What you can build on Kestra for your customers, your platform, and your team.
Twelve concrete patterns, from onboarding the next customer to retiring the brittle Python holding your platform together. Build each one once. Run it across every tenant, every environment, every client. Replayable per execution, audit-ready by default.
Repeatable Customer Delivery & Onboarding
Per-Tenant Onboarding & Provisioning
Turn customer onboarding into one declarative flow. Provision infrastructure with Terraform, deploy default workflows in the customer's namespace, seed baseline data, configure secrets, notify your team. Trigger it from your CRM, your billing system, or an internal portal. Same flow shape for tenant one and tenant five hundred.
Standardized Client Engagement Runbooks
Codify your delivery playbook as flows. Implementation teams parameterize and trigger the same audited workflow for every client, customizations included. Roll new versions out across all clients without rewriting SOPs. Stop reverse-engineering what you did for the last client and start running it identically every time.
Migration Factories
Coordinate migrations across tenants, environments, and product versions. Snapshot, migrate, validate, roll back on failure. The same factory drives a five-tenant pilot and a 500-tenant cutover. Reuse it for Airflow-to-Kestra cutovers, database-engine swaps, and any other big lift you'd otherwise script by hand.
Environment-as-a-Service & Migration Factories
Environment-as-a-Service for Devs & Testers
Give your engineers click-to-provision environments instead of multi-day setup tickets. Provision VMs or clusters, install the application stack, wire integrations, run regression and smoke suites, and only release when validation passes. Days-to-hours delivery for the people who actually build your product.
Hybrid & Multi-Cloud Provisioning
Run one control plane across AWS, GCP, Azure, and your own datacenters. Drive Terraform plans, Kubernetes deploys, and SaaS API calls from the same engine. Move tenants between regions without rewriting flows. Worker groups isolate Linux, Windows, and GPU runtimes on a single shared platform.
Replace Aria, vRO, and Custom Python Glue
Retire vRealize Orchestrator, VMware Aria Automation, brittle Bash, and the Python wrappers that grew up around them. Standardize on declarative YAML, REST APIs, OIDC, OpenTelemetry. Wrap an existing job as a flow today, replace it tomorrow. Modernize without freezing the automation keeping your lights on.
Multi-Tenant Platform Operations
Namespace-Per-Tenant Data Pipelines
Give every customer its own namespace, secrets, and runtime on one shared control plane. Tighten isolation to dedicated VPCs, buckets, or clusters when compliance demands it. Add the next 50 tenants without adding 50 platforms. Zero blast radius between customers, full audit per run.
Internal Platform Operations Behind Your SaaS
Operate the platform behind your product. Database management, schema migrations, secret rotation, billing reconciliation, scheduled backups, internal API jobs. Kubernetes-native runners, namespace-scoped secrets, KV store, and helper flows let Kestra fit naturally next to whatever your engineers already run.
Per-Customer Data Mapping & Compliance
Map source schemas to target schemas per customer, log per-asset failures, keep tenant data inside its boundary. Apply policy and compliance checks declaratively. Hand auditors a signed evidence bundle on demand. The right shape for privacy-sensitive flows where the audit trail and namespace boundary actually matter.
AI-Assisted Product & Delivery Workflows
AI Embedded in Your Product
Ship AI features in your product without taking on a research-team burden. Orchestrate LLM extraction, OCR, classification, and decision-support alongside rule-based logic. Prompts versioned in Git, retries handled, models swapped without rewriting the product. Keep models, prompts, and customer data inside your environment.
AI-Assisted Pipeline Authoring
Build complex pipelines in a day instead of a sprint. The Kestra Copilot generates flow YAML from natural-language descriptions, and the MCP integration plugs Kestra into your IDE and your AI assistants. Onboard new engineers without burning weeks on orchestration plumbing.
Managed Runbooks with Humans-in-the-Loop
Pause any flow for human review at consequential steps. Client deliverable approvals, model promotion, environment releases, exception handling. Reviewers approve from Apps, Slack, or the UI. Every approval captured in the immutable audit trail so AI and automation stay accountable to a real reviewer.
Days → Hoursenvironment delivery time
Validatedtest-ready environments out of the box
2 monthsfrom evaluation to production
Built for the platform and delivery teams behind your product.
Multi-Tenant by Namespace, RBAC by Default
Each customer, environment, or delivery team owns its flows, secrets, and runtime on a shared platform. Namespace-scoped RBAC with SSO, SAML, OIDC, and SCIM. One platform team operates the control plane while consuming teams self-serve their own workloads.Cloud, Self-Hosted, or Air-Gapped
Run on Kestra Cloud in EU or US, or self-host inside your VPC, Kubernetes cluster, or fully air-gapped datacenter. Worker groups isolate Linux, Windows, and GPU workloads. PostgreSQL backend handles millions of executions without Kafka or Elasticsearch.GitOps & Terraform-Native
Every flow is YAML in Git. The Terraform provider deploys flows, namespaces, secrets, and KV-store entries as code. The pattern enterprise software vendors use to onboard a new tenant with a few lines of configuration and trust the rest to land predictably.Apps for Self-Service Customer Portals
Build a UI in front of any flow with Apps. Forms for tenant input, approval buttons for delivery checkpoints, controlled views for stakeholders. Turn catalog requests, environment requests, and client deliverables into governed flows with audit proof end to end.Replayable Audit Trail & Lineage
Every execution frozen in time. Replay any historical run with the exact code, secrets, and inputs in one click. OpenLineage and OpenTelemetry built in. Stream logs to Splunk, Datadog, or your preferred backend. Hand auditors and customers a signed evidence bundle in minutes.24/7 Support & Customer Success Program
Enterprise plans include 24x7 support, a dedicated Slack channel, and a Customer Success Program with implementation experts. The cadence software vendors and consultancies expect from a platform their delivery teams depend on.Patterns from real software and services deployments.
Real workflows running today inside SaaS platforms, consultancies, and managed-service teams. Copy the YAML, adapt to your stack, deploy through your existing CI and approvals.
Per-tenant customer onboarding
Environment-as-a-Service
AI-assisted client deliverable
Multi-tenant data pipeline
Onboard a customer end to end. One flow, every client, every plan.
Stand up a new tenant in one execution: provision infrastructure with Terraform, deploy default flows for the customer's namespace, seed baseline data, and notify Customer Success. Same flow shape runs for tenant one and tenant five hundred. Replayable, observable, audit-ready.
Provision, deploy, validate, hand off. Environments go from days to hours.
Click a button, get a finished environment. Provision the VMs in parallel, install the application stack, run the regression suite, and only release when validation is green. The pattern platform teams at large software vendors use to make integration environments a self-service product instead of a multi-day ticket.
AI extraction with a human in the loop. Inside your product, on your audit trail.
Receive a client request, extract context with Python and an LLM, query the engagement history, generate a draft, pause for reviewer approval, then deliver. Models, prompts, and customer data stay inside your environment. Every model output and human decision captured in the immutable audit log.
Per-tenant data pipeline with namespace isolation and zero blast radius.
Each customer owns its namespace, secrets, and runtime. The same flow shape runs per tenant: extract from the tenant database, transform with dbt, aggregate on Databricks, publish to the tenant bucket. Zero blast radius across customers, full audit per execution. The pattern modern SaaS teams use to scale from 5 to 500 customers without scaling the platform team.
Ready for Production?
Managed or self-hosted, your choice.
Kestra Cloud
Fully managed. Zero maintenance.
Deploy instantly, scale automatically, pay only for what you use.
- Everything in Open Source
- Fully Managed Platform, zero ops
- Automatic Scaling
- SOC 2 Type II Certified
- Built-in Security & Governance
- Fast Onboarding, Pay-as-you-scale
Enterprise Edition
Self-host with enterprise governance.
Critical environments, compliance requirements, air-gapped or hybrid.
- Everything in Open Source
- SSO / SAML & Fine-Grained RBAC
- Audit Logs & Multi-Tenancy
- Air-Gapped & On-Prem Deployment
- Dedicated Customer Success Program
- SLA-Backed Enterprise Support
Integrates with the stack software and services teams already run.
Native plugins for AWS, GCP, Azure, Kubernetes, Docker, Terraform, Ansible, Argo CD, Salesforce, HubSpot, Snowflake, Databricks, dbt, Postgres, Kafka, ServiceNow, Vault, Splunk, OpenLineage, plus 1,200+ more. Or build the exact integration your product or your customer needs.
Ship every customer, every product, every delivery on the same engine.
One control plane for onboarding, environments, multi-tenant pipelines, and AI workflows. Cloud, self-hosted, or air-gapped. Build it once, deliver it identically the next fifty times, and prove the audit on demand.
Frequently asked questions
Find answers to your questions right here, and don't hesitate to Contact Us if you couldn't find what you're looking for.