Theme: How modern streaming really works — the internals, proofs, and patterns that cut latency, raise reliability, and make real-time safe at scale.
Why this track matters
If you own the platform or design the architecture, you need to see under the hood. The Deep Dive Track takes you past marketing claims and into the mechanics: deterministic ordering, broker-side compute, safety nets for “exactly-once,” schema governance that spans systems, and emerging log abstractions. It’s also where we stress-test long-held assumptions (e.g., Kafka guarantees) against today’s workloads and failure modes.
What you’ll learn
- Correctness at high throughput: Techniques for key-ordered processing, idempotency, and end-to-end guarantees.
- Smarter brokers: Where to put filters, routes, and personalization logic to shrink fan-out cost and tail latencies.
- Governance that scales: How schema registries interact with Pulsar/Kafka and multi-engine estates.
- Failure as a feature: New approaches to chaos/fault injection that validate streaming promises in production.
- New theory, new primitives: Real-time OLAP, and toward log abstractions built for AI- and agent-driven systems.
Highlights
- Mastering Key-Ordered Message Processing in Apache Pulsar
- Everything You Wanted from Broker-Side Filtering (and More): Building Personalized Feeds with Apache Pulsar
- Solve a Crime in 15 mins with Kafka and AI
- Unified Governance: Integrating Apache Pulsar with External Schema Registries
- Have Your Real-time OLAP and Upsert It Too
- Are Your Kafka Guarantees Actually Guaranteed?
- LazyLog: A New Log Abstraction for Low-Latency Applications
Who should attend
Principal/staff engineers, platform owners, SREs, and architects designing next-gen real-time platforms.
Join us
Register for DSS SF 2025 (Sept 30) and bring your questions. We look forward to seeing you there!
