The benefits of Apache Kafka monitoring services are widely appreciated across the industry. Organizations that rely heavily on Apache Kafka for their data streaming needs can derive great benefit from the use of Kafka monitoring services. By keeping track of various different key performance indicators (KPIs) related to Kafka, such as message throughput and latency, organizations can ensure that their Kafka-based data pipelines are running as smoothly and efficiently as possible.
Apache Kafka is a very popular open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Amazon MSK (Managed Streaming for Kafka) is a fully managed Kafka service that makes using Kafka even easier. But how do you get started with Kafka on AWS?
Apache Kafka is a very popular open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. Amazon MSK is a fully managed Kafka service that makes using Kafka even easier. But how do you get started with Kafka on AWS? How do you migrate your existing Kafka environment to the cloud? How do you manage many Kafka environments at once?
Apache Kafka is a distributed messaging system that can be used to build applications with high throughput and resilience. It is often used in conjunction with other big data technologies, such as Hadoop and Spark. Kafka-based applications are typically used for real-time data processing, including streaming analytics, fraud detection, and customer sentiment analysis. There are many derivatives such as Confluent Kafka, Cloudera Kafka, and IBM Event Streams.
