What Is Superstream?
Kafka needs to be cheaper, faster, and more reliable to process a greater volume of data in the near future.
Achieving these benefits usually requires replacing the existing Kafka with a managed one or a different vendor, which is a time-consuming, expensive, and painful process.
Superstream effortlessly integrates with any given Kafka of any provider through its API, continuously fetches and analyzes various metadata from the connected Kafka clusters and their clients with a proprietary library, and surfaces and applies enhancements to improve performance, minimize expenses, and reduce operational complexities.
- Maintain cost efficiency while your data increases
- Improve reliability
- Decrease end-to-end latency by 6X, and improve throughput by 10X
- Enforce client-level governance and policies
Superstream For Kafka Cost Reduction
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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.
For eligible Kafka types - Autoscaler
Superstream will automatically scale down/up/in/out your clusters based on their real-time demand, turning idle times into savings.
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.
- Advanced Tuning for Experts: Leverage kernel and filesystem fine-tuning for ultimate efficiency.
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50%
Cost Reduction
70%
Latency Improvement
50%
Less Maintenance
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.
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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.
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The automation can be completely configured to fit your business logic and rules.
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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.
