Unoptimized client properties greatly contributes to end-to-end latency and smaller throughput.
Default properties are highly inefficient and lead to massive, avoidable data transfer expenses.
Poorly tuned clients lead to over-provisioned brokers and infra.
SuperClient for Kafka eliminates guesswork by tuning each client’s config to its unique workload—driving performance gains, cost savings, and reduced network usage.
Automatically find and tune the optimal compression, batch size, and linger.ms settings for each Kafka producer—maximizing throughput and minimizing costs.
Whether it's Confluent or any other provider, reduce costs by eliminating excessive client requests—optimizing both traffic and compute resources.
SuperClient is a sidecar — not a dependency. It passively reads metadata without touching the client path - fully optional, non-blocking, never on the critical path.
Implement once, benefit always. Just add the Superclient library or instrument your app. No need for repeated PRs or tickets. Kafka client optimization happens automatically, without bothering app owners.
Deploy a secure, container-based agent to analyze your Kafka cluster/s workload.
Continuous analysis will begin automatically, surfacing the necessary client modifications.
You can review each recommendation and decide what to act on or automate.
Evaluate impact through detailed charts that improve as more clients connect.
“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
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.