Why Superstream with AWS MSK Serverless?
Superstream optimizes Confluent Cloud, enhancing your experience with significant cost efficiency, improved performance, increased reliability, and robust governance.
A Powerful Combination
Cost Efficiency
Minimize expenses by optimizing resource usage and reducing inactive components.
Performance Improvement
Superstream optimizes client and cluster configurations to reduce latency and increase throughput.
Increased Reliabiliy
Superstream offers insights to keep your Kafka environment healthy and ready for sudden peaks.
How Superstream Can Help Reduce Costs
Superstream enhances the experience of AWS MSK Serverless users in
numerous ways, including significant cost reduction, improved performance,
increased reliability, and robust client governance.
Identify and Reduce Inactive Topics and Partitions
Superstream employs proprietary methodologies to detect and continuously minimize inactive topics and partitions.
Identify and Reduce Inactive Connections
Superstream constantly monitors and reduces inactive connections, optimizing resource usage.
Identify and Reduce Inactive Consumer Groups
Superstream continuously tracks and diminishes inactive consumer groups to ensure efficient system performance.
Utilize client-level compression
Superstream detects producers not using compression, determines their capability to enable it, and seamlessly activates the most suitable compression algorithm.
Optimize Non-Binary Payloads
Superstream identifies producers writing non-binary payloads and activates payload reduction techniques, ensuring no disruption to the existing workflow.
Cluster Monthly Cost
+ 
- The identification process is fully automatic and configurable.
- Decreasing Kafka resources will enable you to scale down/in your cluster
Improve Reliability
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Enforce configuration policies over your clients
The Superstream client library allows operators to specify how clients communicate with the organizational Kafka. Properties can be changed at runtime without needing a reboot.
Automatically adapt client properties
Such as buffers and timers based on real-time demand, growing lag, consumption rates, and poll times.
Continuously evaluate your resources
For eligible Kafka types, continuously evaluate your resources against your workload, including projections to determine when scaling will be necessary
Improve Performance
- Supercharge Your Performance: Achieve up to 70% lower end-to-end latency.
- No Extra Resources Needed: Optimize without increasing computing or storage requirements.
- No Extra Resources Needed: Optimize without increasing computing or storage requirements.
How?
It depends on your vendor/deployment type, but Superstream usually connects to your cluster as a client and through the vendor API when possible.
Once a day, Superstream will snapshot the cluster resources, structure, different metadata, data samples, and other needed information to craft a list of tasks for the automation engine.
The automation can be completely configured to fit your business logic and rules.
You will receive notifications via email and other channels to keep you informed about the platform’s tasks. Additionally, the dashboard and a weekly report will provide insights into the impact of these tasks.
