Scalable, distributed systems stand or fall with their communication architecture. Whether event streaming with Apache Kafka, in-memory data handling and pub/sub with Redis, or lightweight IoT messaging via MQTT – messaging technologies are the backbone of modern microservice architectures. They enable loose coupling, high throughput, and real-time data processing across system boundaries.
Due to cluster setup, scaling, monitoring, and patch management.
Between on-premise, public cloud, and hybrid environments.
Regarding data sovereignty, network segmentation, and air-gapped deployments.
Through proprietary managed services from large cloud providers.
Across teams and environments.
Codesphere abstracts infrastructure complexity and enables your teams to operate Kafka-, Redis-, and MQTT-based workloads consistently, securely, and efficiently. The patented deployment technology makes it possible to provision and scale complex messaging stacks with minimal effort. Developers provision independently via self-service, without requiring specialized DevOps expertise.
Kafka, Redis, and MQTT run in any environment – without adjustments to the stack.
Full data control thanks to a European platform, with optional air-gapped support.
Developers manage messaging services independently – faster, more autonomous, more efficient.
Through automated workflows and standardized processes.
In total cost of ownership through infrastructure consolidation.
Switch cloud providers at any time – your messaging stack remains portable.