Architecture

StreamCore is built on a modern, distributed architecture designed for scale, reliability, and performance. Learn how the components work together.

System Overview

StreamCore's architecture consists of interconnected components that work together to provide reliable event streaming and processing at scale.

  • Distributed: All components can be scaled horizontally
  • Fault-tolerant: Automatic recovery from failures
  • Observable: Complete visibility into system behavior
  • Secure: End-to-end encryption and access control
System architecture

Core Components

📦

Message Brokers

Distributed brokers handle event storage, replication, and distribution

🎯

Cluster Coordination

Centralized coordination for cluster state and partition management

🔌

Client Libraries

Producer and consumer APIs for integrating with your applications

⚙️

Processing Engines

Stream processing runtime for real-time computations

📊

Monitoring & Metrics

Comprehensive observability and metrics collection

🔐

Security & Access Control

Authentication, authorization, and encryption throughout

Design Principles

Scalability

Horizontal scaling of all components for infinite growth

Reliability

Fault tolerance with replication and automatic recovery

Performance

Sub-millisecond latency and high throughput

Simplicity

Clean abstractions and intuitive APIs

Network Topology

StreamCore uses a distributed network topology where all nodes communicate directly. Services are discovered dynamically, and the cluster automatically adapts to node failures.

  • Peer-to-peer communication between brokers
  • Centralized metadata management
  • Automatic service discovery
  • Multi-datacenter support
Network topology

Data Flow

1

Ingestion

Events enter the system through producers. StreamCore receives, validates, and assigns them to partitions based on keys or partitioning strategy.

2

Storage

Events are written to partition leaders, then replicated to follower brokers. Data is persisted to disk for durability and recovery.

3

Processing

Consumers and stream processors read events from partitions and apply business logic. Processing can be stateless or maintain state.

4

Delivery

Results are written to output topics or external systems. StreamCore guarantees delivery semantics configured by the application.

Deployment Options

On-Premises

Deploy StreamCore in your own data centers with full control over infrastructure and configuration.

Cloud

Deploy to AWS, Google Cloud, or Azure with native integration and managed services.

Hybrid

Combine on-premises and cloud deployments for flexibility and cost optimization.

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