A streaming platform lives or dies by the architecture decisions made up front. We think through partitioning, delivery guarantees, schema contracts and state with you, then run the platform under an SLA.
Suspicious transactions are detected and stopped instantly, not at end of day.
Stock, shipments and demand synchronised in real time across all sites and systems.
ML models and RAG systems get live data instead of stale snapshots, the basis for relevant AI.
Change data capture from databases in real time, systems stay in sync without nightly ETL runs.
A streaming platform stands or falls on the right architecture decisions. Here are the concepts we think through cleanly with you — before the first line of code.
The partition key determines ordering guarantees and throughput. Chosen wrongly it means hot partitions or lost ordering. We design keys around your domain logic.
With payments every message counts exactly once. We use idempotent producers, transactional writes and consumer offset strategies matched to your consistency needs.
Load distribution across consumer instances, clean rebalancing without double processing, lag monitoring as an early warning for overloaded pipelines.
Avro, Protobuf or JSON Schema with a schema registry and compatibility modes. Producers and consumers evolve without anything breaking.
Aggregations over time windows, stream-stream and stream-table joins, materialised state with Kafka Streams or Apache Flink, event time instead of processing time.
Time-based retention for events, log compaction for state topics. Replay from the log makes event sourcing and disaster recovery a given.
State is derived from the event log, with a complete audit trail and time travel included.
Write and read paths scaled separately, with optimised read models fed from the event stream.
Distributed transactions across services, consistent without two-phase commit, via a transactional outbox.
What decides success in operations.
Event modelling, topic and partition design, delivery guarantees and the right platform, on-prem, cloud or hybrid. Technology-open, no vendor lock-in.
Producers, consumers, Kafka Connect and stream processing with Kafka Streams & ksqlDB.
Connect existing systems to Kafka, CDC from SAP, Oracle and others, without a big-bang switch.
Managed operations with an SLA: monitoring, scaling, security and updates without downtime.
We choose technology by requirement, not by vendor.
30-min intro call — free.
No standard pitch. I listen, ask the right questions and give an honest assessment — even if we are not the right partner.
