Technical Components
FluxStream — Event Streaming Infrastructure
FluxStream
Organizations building event-driven architectures face infrastructure challenges: **Streaming Infrastructure Complexity**: Running Kafka, Pulsar, or similar systems in production requires expertise in distributed systems, replication, partitioning, and failure recovery. Cluster configuration mistakes cause performance problems or data loss. You need dedicated platform teams to operate streaming infrastructure reliably, but most organizations can't justify that investment until they're already committed to event-driven architecture. **Message Delivery Guarantees Are Hard**: At-least-once delivery creates duplicates requiring deduplication logic in every consumer. At-most-once loses messages during failures. Exactly-once requires complex coordination most teams implement incorrectly. Without proper guarantees, you're building defensive code everywhere to handle lost or duplicate events—adding complexity and bugs. **Schema Evolution Breaks Consumers**: When event producers change message formats, downstream consumers break. Without schema registry and compatibility checking, you discover incompatible changes only after deployment when production consumers start failing. Coordinating schema changes across dozens of services becomes a release bottleneck.
Who This Is For
**Platform Engineers** building foundational infrastructure for event-driven architecture where building and operating streaming infrastructure in-house would divert resources from higher-value work. **Integration Architects** connecting dozens of services and systems where point-to-point integrations create fragile coupling and maintenance burden. **Development Teams** adopting microservices or real-time data pipelines where reliable asynchronous communication is essential but streaming expertise is lacking. This is for organizations processing 10,000+ events per second where message delivery guarantees matter and downtime is costly. If you're outgrowing simple message queues, struggling with distributed transaction coordination, or building real-time data pipelines, managed event streaming infrastructure becomes essential.
What You Get
FluxStream provides fully managed event streaming infrastructure that handles operational complexity while delivering exactly-once semantics, schema evolution, and production-grade reliability. You get simple publish/subscribe APIs, automatic schema validation, and comprehensive observability—without building streaming expertise in-house. Your development teams focus on business logic while FluxStream handles message delivery, ordering, replication, and failure recovery. Operations teams get monitoring, alerting, and disaster recovery capabilities without becoming Kafka experts.
How We Work
Key Deliverables
1
Managed Event Streaming Cluster
Production-ready streaming infrastructure:
2
Schema Registry & Evolution
Managed schema validation and compatibility:
3
Exactly-Once Delivery Semantics
Guaranteed message processing:
4
Stream Processing Primitives
Building blocks for event transformation:
5
Integration Adapters
Connecting streaming infrastructure to existing systems:
6
Client SDKs & Libraries
Developer-friendly event publishing and consumption:
7
Event Replay & Time Travel
Debugging and recovery capabilities:
8
Monitoring & Observability
Comprehensive visibility into streaming health:
9
Security & Compliance
Enterprise-grade security controls:
10
Training & Documentation
Ensuring teams can effectively use streaming infrastructure: