How Orchestera Works
From AWS connection to production Spark jobs in minutes. Here's how Orchestera makes running Spark clusters effortless.
Connect Your AWS Account
Sign up and securely connect your AWS account using IAM roles. We follow AWS security best practices - you maintain full control and can revoke access at any time.
Create an Orchestera account
Provide AWS credentials via secure IAM role
Choose your AWS region
Configure cluster defaults (optional)
We Provision the Infrastructure
Orchestera automatically sets up a production-ready Kubernetes cluster in your AWS account, optimized for running Spark workloads.
Kubernetes cluster (EKS) deployment
Network configuration with VPC and security groups
Storage setup with EBS and S3 integration
Monitoring and logging infrastructure
Auto-scaling policies and node groups
Write Your Spark Jobs
Use our Python, Scala, or Java SDKs to write Spark jobs. Work in your favorite IDE or use our integrated Jupyter notebook environment.
Import Orchestera SDK in your project
Write Spark transformations using familiar APIs
Test locally or in notebooks
Configure job parameters and resources
Version control your code as usual
Deploy and Run
Deploy your Spark jobs with a single command. Orchestera handles cluster scheduling, resource allocation, and job execution automatically.
Deploy via CLI, API, or CI/CD pipeline
Jobs are packaged and submitted to Spark
Orchestera allocates optimal resources
Clusters scale based on workload
Automatic retries on failure
Monitor and Optimize
Track job progress, view metrics, and get insights through our dashboard. Orchestera continuously optimizes performance and cost.
Real-time job status and progress tracking
Resource utilization metrics
Cost breakdown by job and cluster
Performance recommendations
Alerts for failures or anomalies
What Happens Behind the Scenes
Continuous Monitoring
Orchestera constantly monitors cluster health, node status, and job performance. We detect and respond to issues before they impact your pipelines.
Automatic Scaling
As your workload changes, we automatically scale clusters up or down. Add more nodes during peak times, scale down during idle periods to save costs.
Failure Recovery
When nodes fail or jobs crash, Orchestera automatically recovers. We restart failed tasks, replace unhealthy nodes, and maintain job state.
Infrastructure Updates
We handle Kubernetes upgrades, security patches, and Spark version updates without disrupting your running jobs.
Cost Optimization
Orchestera optimizes resource allocation and minimizes data transfer costs across availability zones.
Your Infrastructure, Our Management
Everything runs in your AWS account. Your data, your clusters, your control. Orchestera connects securely via IAM roles to manage infrastructure on your behalf.
We deploy Kubernetes clusters (EKS), configure networking, set up storage, and run Spark jobs - all within your AWS environment. You maintain complete visibility and can audit everything through AWS CloudTrail.
AWS costs are billed directly to you at standard AWS rates. No markup on compute, storage, or data transfer. You pay only for Orchestera platform access.
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