Message streaming as a Service
Trusted by developers at
Reasons why you will love CloudKarafka
Fully managed Apache Kafka clusters
CloudKarafka automates every part of setup, running and scaling of Apache Kafka. CloudKarafka offers hosted publish-subscribe messaging systems in the cloud.
Extremely High throughput
Kafka is designed to be fast, scalable and durable. A single Kafka broker can handle a very high throughput, supporting hundreds of thousands of messages per second. Each broker can handle terabytes of messages without performance impact.
Spend your time wisely
Let your team focus on what they do best - building your product. Leave server management and monitoring to the experts.
Transparent pricing - billed by the hour
- No contracts
- No hidden fees
- No charge for chat/email support
Start for
FREE
Top CloudKarafka features
Event streams
With Kafka you can publish events for everything happening in your application. Other parts can subscribe to these events and take appropriate actions.
Fully managed
CloudKarafka automates every part of setting up, running and scaling Kafka.
Performance
Kafka has high throughput for both publishing and subscribing.
Infinitly scalable
Kafka scales perfectly vertically and there's no upper limit to how many messages you can publish/subscribe.
Durability and Reliability
Kafka persists messages on disk and messages are replicated within the cluster to prevent data loss.
Support
Support staff is available 24/7 to help in any event or with any question.
What is CloudKarafka?
Illustration: Example usage of CloudKarafka
About Apache Kafka
Apache Kafka is a high throughput message queue, also called a distributed log, because it will retain all messages for a specific period of time, even after being consumed. The messages are automatically distributed among all servers in a cluster and the number of nodes is dynamic, so the horizontal scaling is incredible.
Common use cases
Typical use cases are massive event collection (stored for later analysis), metrics collection, server log aggregation, external commit logs for data replication, etc.