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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
  • Optimizations
    • Improve Network Efficiency
    • Resize AWS MSK Size
  • Settings
    • Notifications
  • Security & Legal
    • Processed data
    • Compliance
    • Firewall rules
    • Authentication
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  • Solution briefs
    • 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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  • Data Teams Are Drowning In Operations
  • Meet Superstream

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Superstream

Autonomous Data Infrastructure. Powered By AI Agents

NextOption 1: BYOC

Last updated 16 days ago

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Data Teams Are Drowning In Operations

Instead of focusing on innovation, improvements, and AI initiatives, They are stuck with managing costs, performance, and security.

Today

  • Months of human hours

  • Millions in wasted costs

  • Growth initiatives are not prioritized

With AI

No more operations

Growth initiatives are prioritized

Meet Superstream

A team of localized AI agents that autonomously operate data infrastructure so 
human data engineers would focus on what matters, not operations.

Common use cases:

  • Reduce Kafka Usage Costs: Optimizing your cluster resources to align with your workload can cut costs by up to 80%.

  • Increase Control: Enforce best practices and get valuable insights to ensure your Kafka runs at peak health.

  • Avoid Migrating To A Different Kafka: Migration is often driven by cost or visibility—now, you can have both with your current vendor.

  • Reduce Transfer Costs: By sampling your payload, Superstream can analyze and benchmark it to recommend ways to reduce the transfer footprint.

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