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Managed Apache Kafka

High-throughput event streaming platform for real-time data pipelines and streaming analytics

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Event Streaming at Scale

Apache Kafka is the de facto standard for event streaming, powering real-time data pipelines for thousands of companies including LinkedIn, Netflix, and Uber.

Our managed Kafka service delivers enterprise-grade reliability with multi-region replication, automatic scaling, and comprehensive monitoring—without the operational complexity.

Massive Throughput

Handle millions of events per second with low latency

Multi-Region Active-Active

Cross-datacenter replication for global availability

Exactly-Once Semantics

Guaranteed message delivery without duplicates

What's Included

Apache Kafka 3.6+

Schema Registry (Confluent compatible)

Kafka Connect (Source & Sink)

ksqlDB for Stream Processing

TLS/SSL & SASL Authentication

Topic ACLs & Resource Quotas

Comprehensive Monitoring & Alerting

Multi-Region Architecture

Fault Tolerance

Automatic leader election and partition reassignment ensure continuous operation during broker failures.

Linear Scalability

Add brokers dynamically to increase throughput. Kafka scales horizontally to handle massive workloads.

Zero Data Loss

Replicated partitions across brokers and regions with configurable acknowledgment levels.

Kafka Powers Critical Use Cases

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Event Sourcing & CQRS

Store all state changes as immutable events. Build materialized views and enable time travel debugging.

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Real-Time Analytics

Process streaming data in real-time with Kafka Streams or ksqlDB for instant insights and dashboards.

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Data Integration

Connect databases, data warehouses, and applications with Kafka Connect for unified data pipelines.

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Metrics & Logging

Centralize application logs and metrics at massive scale. Feed into Elasticsearch, Splunk, or data lakes.

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Change Data Capture (CDC)

Stream database changes in real-time using Debezium. Keep systems synchronized without polling.

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ML Model Serving

Feed real-time features to ML models. Stream predictions back for immediate action and model feedback.

Enterprise Features

Exactly-Once Delivery

Idempotent producers and transactional writes ensure no duplicates or data loss.

Auto-Scaling

AI-driven scaling adds brokers and partitions based on throughput and consumer lag.

Multi-Cloud Ready

Deploy across AWS, Azure, GCP with MirrorMaker 2 for cross-cloud replication.

Time-Travel Queries

Replay messages from any point in time with configurable retention policies.

Schema Evolution

Avro, Protobuf, and JSON Schema support with backward/forward compatibility.

Enterprise Security

TLS encryption, SASL authentication, and fine-grained ACLs for topics and consumer groups.

Deep Observability

Real-time metrics on throughput, lag, partition distribution, and broker health.

Automated Backups

Regular snapshots of cluster metadata and topic configurations with disaster recovery.

REST Proxy & APIs

HTTP REST API for producers and consumers when native protocol isn't feasible.

vs. Other Streaming Platforms

Feature	Managed Kafka	AWS Kinesis	Pub/Sub	Event Hubs
Multi-Cloud	✓	AWS Only	GCP Only	Azure Only
Message Replay	Unlimited	7 days max	7 days max	90 days max
Open Source	✓ (Apache)	✗ Proprietary	✗ Proprietary	✗ Proprietary
Ecosystem	Rich	Limited	Limited	Moderate
Exactly-Once	✓	✗	At-least-once	✓