Streaming & Event-Driven
Real-time data streaming with Apache Kafka, Flink, Pulsar, Kinesis, and event-driven architecture patterns.
About this service
Build real-time data pipelines and event-driven architectures with enterprise-grade streaming platforms. From Kafka cluster management to complex event processing with Flink, we help you design systems that process millions of events per second with guaranteed delivery.
Streaming & Event-Driven Architecture
Real-time data pipelines, event streaming platforms, and event-driven patterns for building responsive, scalable distributed systems.
Apache Kafka
Distributed event streaming platform
Kafka Data Flow
Core Concepts
- ●Topics and partitions for parallel, ordered event storage
- ●Consumer groups with automatic partition rebalancing
- ●Exactly-once semantics with idempotent producers and transactions
- ●Configurable retention policies and log compaction
- ●Multi-datacenter replication with MirrorMaker 2
Use Cases
Kafka Connect
Pre-built source and sink connectors for databases, S3, Elasticsearch, JDBC, and 200+ systems. No custom code required.
Kafka Streams
Lightweight client library for stateful stream processing, windowed aggregations, joins, and exactly-once processing guarantees.
ksqlDB
SQL-based stream processing engine. Create materialized views, push queries, and continuous transformations using familiar SQL syntax.
Apache Flink
Stateful stream processing at any scale
Processing Capabilities
- ●Stateful computations with exactly-once consistency guarantees
- ●Event time processing with watermarks for out-of-order events
- ●Complex event processing (CEP) for pattern detection
- ●Low-latency windowing: tumbling, sliding, session, and global windows
- ●Savepoints and checkpoints for fault tolerance and versioning
Kafka + Flink Integration
Apache Pulsar
Cloud-native distributed messaging and streaming
Key Differentiators
- ●Native multi-tenancy with namespace isolation and quotas
- ●Built-in geo-replication across data centers and regions
- ●Tiered storage: hot data on BookKeeper, cold data on S3/GCS
- ●Pulsar Functions for lightweight serverless stream processing
- ●Pulsar IO connectors for seamless source and sink integration
When to Choose Pulsar over Kafka
Amazon Kinesis & Azure Event Hubs
Cloud-managed streaming services
Amazon Kinesis Suite
Azure Event Hubs
When to Choose Managed vs Self-Hosted
- ●Small ops team, no Kafka expertise
- ●Tight cloud-native integration needed
- ●Variable workloads benefiting from auto-scaling
- ●Need full control over configuration and tuning
- ●Multi-cloud or hybrid deployments required
- ●High throughput with predictable, steady workloads
Event-Driven Architecture Patterns
Design patterns for reactive, loosely-coupled systems
Event Sourcing
Store every state change as an immutable event. Rebuild state by replaying events. Provides a complete audit trail and enables temporal queries.
CQRS
Command Query Responsibility Segregation. Separate write models (commands) from read models (queries) for independent scaling and optimization.
Saga Pattern
Manage distributed transactions across microservices using orchestrated or choreographed sequences with compensating actions for rollback.
Schema Management
- ●Schema Registry for centralized schema governance and versioning
- ●Apache Avro for compact binary serialization with schema evolution
- ●Protocol Buffers (Protobuf) for language-neutral, strongly-typed contracts
- ●Forward and backward compatibility checks on schema changes
Error Handling & Resilience
- ●Dead letter queues (DLQ) for messages that fail processing
- ●Exponential backoff retry with configurable max attempts
- ●Circuit breaker pattern to prevent cascade failures
- ●Poison pill detection and automated quarantine workflows
End-to-End Streaming Architecture
Technology Stack
Messaging
- Apache Kafka
- Apache Pulsar
- RabbitMQ
- NATS
Processing
- Apache Flink
- Spark Streaming
- ksqlDB
- Kafka Streams
Cloud
- Amazon Kinesis
- Azure Event Hubs
- Google Pub/Sub
- AWS MSK
Storage
- Amazon S3
- Delta Lake
- Apache Iceberg
- Apache Hudi
Other services
Software Development
Code reviews, debugging assistance, best practices, and implementation guidance for your projects.
System Architecture
Design scalable systems, microservices architecture, cloud infrastructure, and database design.
Technical Strategy
Technology roadmaps, tool selection, team structure, and digital transformation planning.
Cloud & DevOps
AWS, Azure, GCP guidance. CI/CD pipelines, containerization, Kubernetes, and infrastructure as code.
Security Review
Security audits, vulnerability assessments, authentication patterns, and compliance guidance.
Training & Mentoring
Skill development, technology training, career guidance, and team capability building.