Apache Kafka

Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications. It’s a publish-subscribe messaging system that receives big data from disparate source systems and makes the data available to target systems in real time.

How Apache Kafka Helps Users

With Apache Kafka, you can:

• Ingest and process large volumes of data from various sources.
• Distribute real-time data across applications, services, and analytics tools, enabling them to publish, subscribe to, and process streams of records as they occur.
• Decouple data producers and consumers to improve system resilience and scalability
• Store and replay event streams with built-in durability and replication.
• Allow different services to communicate without knowing each other's internal details in microservices architectures.
• Facilitate event-driven architectures, where events are captured and streamed for analysis and processing.

Apache Kafka supports deployment across a wide range of cloud and on-premises environments, including bare metal or virtualized servers (VMware, Hyper-V), private cloud platforms, container orchestration platforms (Docker, Kubernetes), and cloud platforms (AWS GCP, Azure, and more).

Why Integrate Apache Kafka with emma

By integrating Kafka with emma, teams can:

• Monitor Kafka clusters, topics, and consumer lag across multi-cloud environments
• Correlate Kafka throughput and processing performance with infrastructure usage and cloud cost trends
• Detect anomalies or bottlenecks in data pipelines based on real-time telemetry
• Optimize resource provisioning for Kafka brokers and zookeepers through emma’s automated recommendations

Integrate Apache Kafka with emma to manage Kafka as part of a unified multi-cloud stack with observability, governance, and cost control built in.