Superstream’s cluster and client auto-optimization reduces Kafka data transfer costs by up to 90% and overall usage by up to 60%.
Optimized Data / Mo
Avg. reduced costs
Production disruptions
SuperClient for Kafka eliminates guesswork by tuning each client’s config to its unique workload—driving performance gains, cost savings, and reduced network usage.
Instant instrumentation by seamlessly adding Superclient library.
Access key network metrics and visual charts to enhance observability.
No more static, one-size-fits-all configuration. Superclient will dynamically auto-tune your clients' config to match current workload.
SuperCluster for Kafka continuously cleans up and optimizes your cluster-level resources, ensuring you only pay for and store what you actually use and need.
Automatically detect and clean inactive topics, idle consumer groups, and more.
Continuously analyzes workloads to scale brokers up or down—eliminating waste without compromising performance.
SuperCluster runs in the background—continuously monitoring, optimizing, and enforcing best practices without manual intervention.
Deploy a container-based local agent to communicate securely with your Kafka cluster.
Connect your clusters through the Superstream Console.
Continuous analysis begins automatically, with insights and actions appearing within minutes.
Choose which tasks to automate and where—cluster by cluster.
“Superstream took a huge load off our plates. We used to spend hours tuning Kafka and managing cost optimizations manually. Now it just works in the background—smart, safe, and way more efficient.”
FinOps Engineer // Orca Security
“We plugged Superstream in, and within days, it started surfacing config issues and cost sinks we had no idea existed. The auto-tuning is legit—performance went up and our network overhead dropped noticeably.”
DevOps TL // Solidus Labs
“I was skeptical at first, but Superstream quickly proved its value. It understands our workload patterns better than we do and keeps our Kafka lean without us lifting a finger. It’s like having another engineer on the team.”
Dev Team Leader // eToro
“Superstream took a huge load off our plates. We used to spend hours tuning Kafka and managing cost optimizations manually. Now it just works in the background—smart, safe, and way more efficient.”
FinOps Engineer // Orca Security
“We plugged Superstream in, and within days, it started surfacing config issues and cost sinks we had no idea existed. The auto-tuning is legit—performance went up and our network overhead dropped noticeably.”
DevOps TL // Solidus Labs
“I was skeptical at first, but Superstream quickly proved its value. It understands our workload patterns better than we do and keeps our Kafka lean without us lifting a finger. It’s like having another engineer on the team.”
Dev Team Leader // eToro
“Superstream took a huge load off our plates. We used to spend hours tuning Kafka and managing cost optimizations manually. Now it just works in the background—smart, safe, and way more efficient.”
FinOps Engineer // Orca Security
“We plugged Superstream in, and within days, it started surfacing config issues and cost sinks we had no idea existed. The auto-tuning is legit—performance went up and our network overhead dropped noticeably.”
DevOps TL // Solidus Labs
“I was skeptical at first, but Superstream quickly proved its value. It understands our workload patterns better than we do and keeps our Kafka lean without us lifting a finger. It’s like having another engineer on the team.”
Dev Team Leader // eToro
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.
Your Apache Kafka is critical. Automate the grind. Unlock performance. Cut costs.