[ Tech stack ]
Apache Kafka
The distributed event-streaming bus that powers real-time architectures.
Kafka stores and redistributes event streams at very high throughput, with strong durability and ordering. It's the foundation of event-driven, CDC and data-streaming architectures, deployed at LinkedIn, Netflix, Uber and most large players.
[ Why Apache Kafka at Dexon ]
What this technology does well,
and why we use it.
Typical usage: Event-driven, CDC, data streaming, log aggregation at scale.
- 01
Throughput of millions of events/s, disk durability.
- 02
Connect, Streams, ksqlDB: native stream-processing pipelines.
- 03
Schema Registry for event governance.
- 04
Mature ecosystem: Confluent, Strimzi, AWS MSK.
[ Complementary technologies ]
The building blocks we often
mobilise alongside.
A stack rarely exists alone. Here are the technologies Dexon most often pairs with this one, through pipeline habits, usage similarity or internal mastery. Click on a brick to see its scope.
[ Reassurance ]
- 0+
- custom projects delivered
- 30
- engineers, designers, project managers
- 80 %
- from top French schools
- 24 h
- average reply time
[ Our AI stance ]
AI-augmented approach,
supervised by experts.
We use artificial intelligence as a lever for acceleration and optimisation within our technical processes, while keeping strong human oversight on every strategic phase of the project.
AI improves productivity. It does not replace:
- field experience
- architectural expertise
- understanding business stakes
- technical governance
- complex trade-offs
- cybersecurity
- operational accountability
Our teams act as a layer of validation, quality control, security hardening and steering, to ensure reliable, scalable deliverables that can operate in real-world environments.