Start your
event-streaming
journey now.
Use the full potential of your data: collect, analyze, learn from and grow with all your generated data.
Use the full potential of your data: collect, analyze, learn from and grow with all your generated data.
Get ahead in your Kafka journey from PoC to full fledged Kafka enterprise self-service data platform.
Event streaming opens up new dimensions, but it also comes with new challenges. SPOUD supports you on your event streaming journey with a lot of experience and know-how.
Event driven architectures are valuable because they provide a technological pattern that can be applied to solve a variety of different problems enterprises struggle with.
Data Exchange
Using event-brokers as data storage. Data lakes if you will.
Processing information in real-time as a situation unfolds in events. Often analytical applications.
Connecting data producers and data consumers in a loosely coupled architecture.
Distributed services synchronized and decoupled with events-architecture.
Communication
Event architecture comes in many shapes and forms. In order for your organization to find its individual flavour, it’s important to take into account the following three levels:
By submitting this form, you agree to SPOUDs privacy policy.