Orchestera

The product is a fully managed Apache Spark platform that automates the cluster lifecycle on Kubernetes, including orchestration, autoscaling, upgrades, pipeline monitoring and notebook provisioning to address failures, timeouts and operational overhead in data processing. It sells to developers, IT and operations teams in B2B organizations that build and run data pipelines, ETL/ELT, batch and machine learning workloads. It is deployed in the customer's own AWS account with billing direct to AWS and no compute markup, and is positioned as fault-tolerant and resilient to infrastructure failures.

Key features

• Provision Spark clusters in minutes
• Automate Spark lifecycle on Kubernetes
• Orchestration and autoscaling
• Kubernetes upgrades handling
• Pipeline monitoring
• Notebook provisioning
• AI Debugger for pipelines
• SDKs for data pipelines
• Auto-scale 1 to 1000+ nodes
• Cost optimization controls
• Performance optimized I/O and networking
• Out-of-box pipeline observability
• Automatic failure recovery