Your Apache Kafka is critical. Automate the grind. Unlock performance. Cut costs.
When you connect the Superstream local agent—shared by both Superclient and SuperCluster—it continuously analyzes each topic’s workload by sampling payloads. Using this real-time analysis, it determines and outputs the optimal configuration properties for every payload type. When applications using the embedded Superclient package restart and begin producing messages, their initial configurations are automatically updated with these optimized settings. These may include a more efficient compression algorithm, adjusted batch sizes, and optimized linger intervals. The impact of these optimizations can be observed through the Superclient dashboard or any third-party monitoring tool that tracks Kafka bytes in and out.
Supercluster for Kafka automatically analyzes your Kafka usage patterns—including metrics, configurations, and throughput—and applies real-time cluster-level optimizations. It dynamically adjusts retention policies, reduces partition counts, tunes consumer group settings, resizes infrastructure, and more—all to lower costs and boost performance, without downtime or manual intervention.
Yes. 14-day trial to check Superclient for Kafka, and free environmental assessment for Supercluster for Kafka. If more is needed, please reach out via sales@superstream.ai
Yes. You can set granular policies to define what’s in scope for optimization—by topic, clusters, or workload type. You can choose full automation, manual approval, or read-only mode depending on your comfort level.
Superstream runs with least-privilege access, encrypts all data in transit and at rest, and logs every action. It integrates with your IAM policies, supports audit trails, and never moves data outside your environment. We’re SOC 2 Type II compliant.
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