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Chapter 1. Key features
Streams for Apache Kafka simplifies the process of running Apache Kafka within a Kubernetes cluster.
This guide serves as an introduction to Streams for Apache Kafka, outlining key Kafka concepts that are central to operating Streams for Apache Kafka. It briefly explains Kafka’s components, their purposes, and configuration points, including security and monitoring options. Streams for Apache Kafka provides the necessary files to deploy and manage a Kafka cluster, along with example configuration files for monitoring your deployment.
1.1. Kafka capabilities
Kafka’s data stream-processing capabilities and component architecture offer:
- High-throughput, low-latency data sharing for microservices and other applications
- Guaranteed message ordering
- Message rewind/replay from data storage to reconstruct application state
- Message compaction to remove outdated records in a key-value log
- Horizontal scalability within a cluster
- Data replication to enhance fault tolerance
- High-volume data retention for immediate access
1.2. Kafka use cases
Kafka’s capabilities make it ideal for:
- Event-driven architectures
- Event sourcing to log application state changes
- Message brokering
- Website activity tracking
- Operational monitoring through metrics
- Log collection and aggregation
- Commit logs for distributed systems
- Stream processing for real-time data responses
1.3. How Streams for Apache Kafka supports Kafka
Streams for Apache Kafka provides container images and operators for running Kafka on Kubernetes. These operators are designed with specialized operational knowledge to efficiently manage Kafka on Kubernetes.
Streams for Apache Kafka operators simplify:
- Deploying and running Kafka clusters
- Deploying and managing Kafka components
- Configuring Kafka access
- Securing Kafka access
- Upgrading Kafka
- Managing brokers
- Creating and managing topics
- Creating and managing users
For detailed information and instructions on using operators to perform these operations, see the guide for Deploying and Managing Streams for Apache Kafka.
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