Event-Streaming Strategy Workshop
Go Beyond Consulting: Build, Test, and Scale Your Kafka Architecture
In our one-day workshop, you’ll have the opportunity to put your key concepts, ideas, and plans to the test – challenged and refined by seasoned event-streaming experts. By the end of the session, you’ll gain clearer direction, valuable insights, and the confidence to elevate your ideas to the next level.
Are you ready to push your Kafka setup to its limits? Our expert-led event-streaming strategy workshops go beyond theory, offering a hands-on, challenge-driven experience designed to improve your architecture, uncover hidden potential, and validate new ideas through PoCs.
What We Offer
- Architectural Deep Dives: Challenge your Kafka design and uncover optimization opportunities.
- Q&A and Troubleshooting: Bring your toughest Kafka questions; we’ve got answers.
- Hands-On Lab: Test ideas, implement improvements, and prove concepts.
- From PoC to Production: You bring your PoC, we’ll challenge the concept, uncover blind spots, and help you map the path to production.
- Challenge Key Components: Is Kafka the solution we need, or are there alternatives?
- Pre-Workshop Assessment & Follow-Up: Ensure maximum impact with a tailored approach before and after the session.
Our Expertise
Performance & Scalability: High throughput, low-latency tuning, and partition scaling.
Resilience & Failure Handling: Broker failures, ISR recovery, and disaster scenarios.
Security & Compliance: ACLs, encryption, and data governance under real-world load.
Stream Processing Optimization: Kafka Streams vs. Flink, exactly-once semantics, and stateful processing.
Integration & Data Pipelines: Schema, Kafka Connect tuning, and multi-tenant setups.
- Any many more topics – reach out to find out if we can help you.
Why it's Different
Our challenging labs push past best practices. The lab is designed to stress-test your assumptions, optimize for real-world scalability, and uncover the true potential of your streaming architecture.
Who is it for?
Engineers
Looking to optimize and scale Kafka deployments.
ArchitectS
Aiming to validate and refine their streaming data strategies.
Management
Seeking proof of value before committing to large-scale rollouts.