Kestra is a workflow orchestration platform built around Everything-as-Code principles—workflows sync between declarative YAML and a UI, staying reviewable and auditable at scale. The stack reveals a modern production infrastructure (Kubernetes, Terraform, Postgres, Kafka, Elasticsearch across AWS/GCP/Azure) and emerging AI capabilities (adopting OpenAI, dbt, Spark). Notably, they're replacing Apache Airflow while actively expanding a plugin ecosystem and enterprise-grade governance, signaling a pivot from open-source adoption toward production revenue and infrastructure-segment GTM.
Kestra builds an open-source orchestration platform for engineering teams to author, run, and govern workflows across data pipelines, AI systems, infrastructure, and business automation. The product supports both UI-driven and code-first authorship, with AI-native features including a production Copilot for natural-language flow generation and agentic orchestration with context-aware execution. The company operates across six continents (US, Brazil, Germany, India, France hiring regions) and has achieved 10x year-over-year adoption growth. Current priorities center on enterprise solutions, infrastructure-segment market entry, and converting open-source adoption into revenue through a scaling sales motion.
Kestra runs on Kubernetes and Docker with Terraform for infrastructure-as-code. Backend uses Java, Python, and TypeScript; storage on PostgreSQL and MySQL; event streaming via Kafka; search via Elasticsearch. Cloud deployment across AWS, GCP, and Azure.
Core priorities: expanding the plugin ecosystem, launching enterprise solutions, building infrastructure-segment GTM and playbooks, developing a pricing model (CPM-based), and scaling influencer marketing. Also developing Kestra Academy for infrastructure audiences.
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Kestra's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.