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  • Superstream
  • Getting started
    • Option 1: BYOC
      • Step 1: Agent Deployment
      • Step 2: Create a Kafka user
      • Step 3: Connect your Kafka cluster/s
      • Step 4: Activate
      • Additional resources
        • Engine deployment
          • Supertstream Engine Deployment using existing secrets
          • How to deploy and manage Superstream using ArgoCD
          • Superstream Engine deployment for environments with a local container registry
          • Supertstream Engine Deployment using custom resource limits
          • Superstream Platform deployment for Air-Gapped environments
        • Engine upgrade
          • Upgrading From Helmfile based Deployment to Superstream Helm Chart
    • Option 2: Fully managed
      • Step 1: Create a Kafka user
      • Step 2: Connect your Kafka cluster/s
      • Step 3: Activate
  • Products
    • SuperClient for Kafka
      • Getting started
    • SuperCluster for Kafka
      • Right-size AWS MSK cluster size
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  • Solution briefs
    • Executive Summary
    • Superstream for Confluent Platform
    • Superstream for Confluent Cloud
    • Superstream for Redpanda
    • Superstream for Apache Kafka
    • Superstream for AWS MSK
    • Superstream for AWS MSK Serverless
    • Superstream for Aiven
  • Release notes
    • Changelog
      • Feb 2, 2025
      • Jan 11, 2025
      • Dec 5, 2024
      • Nov 1, 2024
      • Oct 14, 2024
      • Sep 24, 2024
      • Sep 10, 2024
      • August 26, 2024
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Copyright to Superstream Labs Inc. 2025

On this page
  • Auto-Optimize Your Kafka Clusters & Clients
  • SuperClient for Kafka: Auto-Tune Your Kafka Clients For Efficiency & Governance
  • SuperCluster for Kafka: Keep Your Kafka Clusters Lean & Mean

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Superstream

Your Kafka, But Optimized. 
97% Less Traffic. 50% Less Cost.

Auto-Optimize Your Kafka Clusters & Clients

Superstream Automates Any Kafka Cost Efficiency, Configuration, Clients, And Traffic—so The Operators Won't Have To.

Reduce network size and cost

Automatically apply the most cost-efficient compression strategy for each client based on workload characteristics.

Enforce configuration and avoid drifts

Aligns clusters and clients' configuration to best practices or a custom one.

Clean up wasted resources

Finds & removes zombie topics, partitions, idle CGs, and connections.

Auto-tune clients for max efficiency

Automatically finds the optimal producer properties per workload.


SuperClient for Kafka: Auto-Tune Your Kafka Clients For Efficiency & Governance

SuperClient for Kafka eliminates guesswork by tuning each client’s config to its unique workload—driving performance gains, cost savings, and reduced network usage.

✅ No Code Changes

There is no way we will ask someone to change their code! You just need to add a package or instrument your app.

✅ Deep Observability

Perfect enhancement for easier, faster issue identification and resolution.

✅ Dynamic Configuration

No more static, one-size-fits-all configuration. Superclient will dynamically auto-tune your client's config to match the current workload.

✅ Client Governance

Ensure your clients run with your defined policies and best practices.

SuperCluster for Kafka: Keep Your Kafka Clusters Lean & Mean

SuperCluster for Kafka continuously cleans up and optimizes your cluster-level resources, making sure you pay and store what you actually use and need.

✅ Clean unused resources

Automatically detect and clean inactive topics, idle consumer groups, and more.

✅ Right-size your cluster

Continuously analyze workloads to scale your brokers up or down, avoiding waste without risking performance.

✅ Continuous and automatic

SuperCluster for Kafka runs in the background—constantly monitoring, optimizing, and enforcing best practices without manual intervention.

NextOption 1: BYOC

Last updated 4 days ago

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