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Apache Kafka is an open-source distributed streaming platform developed by the Apache Software Foundation.
Apache Kafka is an open-source distributed streaming platform designed to efficiently handle high volumes of real-time data. It is used to build real-time data pipelines and streaming applications and is often used when large amounts of data need to be processed in real-time. Kafka is based on a publish-subscribe model, […]
Debezium is an open-source distributed platform for change data capture (CDC). It provides a scalable and reliable way to capture and stream changes from databases (such as MySQL, PostgreSQL, and MongoDB) to event streams in Apache Kafka. Debezium can track changes to data in real-time, making that data available for […]
How to Choose the Right Message Broker for Your Application If you are developing a distributed application that relies on asynchronous communication between its components, you might need a message broker to handle the data flow. A message broker is a software module that acts as an intermediary between different […]
I use Amazon as a cloud service in my new Java/Kotlin projects. I couldn’t easily find a complete list of AWS modules. I was able to create this shortlist as a result of the reviews. Compute EC2 Virtual Private Servers Lightsail Amazon’s hosting provider (VPS, DNS, storage) Lambda Functions […]
Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based […]
RabbitMQ, Kafka, and ActiveMQ are all messaging technologies that provide asynchronous communication and decouple processes (detaching the sender and receiver of a message). They are called message queues, message brokers, or messaging tools. RabbitMQ, Kafka, and ActiveMQ all have the same primary purpose but can do their jobs differently. Developers describe ActiveMQ as “A message […]
Debezium is an open-source distributed platform that turns your existing databases into event streams so that applications can see and respond almost instantly to each committed row-level change in the databases. Debezium is built on top of Kafka and provides Kafka Connect compatible connectors that monitor specific database management systems. Debezium records the history […]
Spring Cloud Bus links nodes of a distributed system with a lightweight message broker. This can then broadcast state changes (e.g., configuration changes) or other management instructions. AMQP and Kafka broker implementations are included in the project. Alternatively, any Spring Cloud Stream binder on the classpath will work out of the box […]
Spring Cloud Stream is a framework for building highly scalable event-driven microservices connected with shared messaging systems. The framework provides a flexible programming model built on already established and familiar Spring idioms and best practices, including support for persistent pub/sub semantics, consumer groups, and stateful partitions. Binder Implementations Spring Cloud […]
This talk discusses the benefits of using an event-driven architecture for microservices and how Apache Kafka can facilitate this approach. An event-driven architecture involves using events as the system’s backbone, with microservices communicating with each other by producing and consuming events. This can be more efficient than REST APIs, as […]