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DevOps

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) aimed at shortening the systems development life cycle and providing continuous delivery with high software quality. It emphasizes collaboration, automation, and integration between developers and IT professionals to improve the speed and quality of software deployment.

How to Deliver Large Messages in Kafka (3 Approaches)

Updated: Jan 31, 2024
Introduction Apache Kafka is a robust distributed event streaming platform that is widely used for building real-time data pipelines and streaming applications. It is designed to handle high volumes of data efficiently. However, when......

How to Connect to Kafka Running in Docker From Outside Docker

Updated: Jan 31, 2024
Introduction In the world of streaming data and microservices, Apache Kafka is a household name, known for its high throughput and scalability. Running Kafka in Docker containers eases development and deployment, but connecting to it......

How to Connect to Kafka from a Remote Machine

Updated: Jan 31, 2024
Introduction Apache Kafka is a powerful distributed event streaming platform that is widely used to build scalable real-time data pipelines and streaming applications. It is written in Scala and Java and is often used for building......

How to Migrate from Traditional Messaging Systems to Kafka

Updated: Jan 31, 2024
Introduction With the rise of real-time analytics and the need for robust, scalable messaging systems, Apache Kafka has become a popular choice for many organizations looking to upgrade their messaging infrastructure. In this tutorial,......

How to Resolve Kafka Deployment Challenges: A Practical Guide

Updated: Jan 31, 2024
Introduction Apache Kafka is a powerful distributed streaming platform capable of handling trillions of events a day. Initially conceived as a messaging queue, Kafka is based on an abstraction of a distributed commit log. Since being......

How to Scale Kafka in a Microservices Environment (Kubernetes)

Updated: Jan 31, 2024
Introduction Apache Kafka has become a cornerstone for many microservices architectures, providing reliable, high-throughput messaging systems that enable services to communicate effectively. With Kubernetes emerging as a standard for......

How to Integrate Kafka into Microservices (with Examples)

Updated: Jan 31, 2024
Introduction Apache Kafka is a high-throughput distributed messaging system that is widely used in microservices architectures for event streaming and handling. Integrating Kafka into microservices enables the services to communicate......

Apache Kafka: Addressing the Challenges of Exactly-Once Semantics

Updated: Jan 31, 2024
Introduction Apache Kafka is an open-source stream-processing software platform developed by the Apache Software Foundation. Kafka is widely used for building real-time data pipelines and streaming apps. It is horizontally scalable,......

Understand and Apply Exactly-Once Semantics in Kafka (with Examples)

Updated: Jan 31, 2024
Overview Apache Kafka has become a cornerstone in the world of stream processing and event-driven systems. Ensuring data integrity and consistency across distributed applications is crucial, and that’s where exactly-once......

How to Connect Kafka with Hadoop

Updated: Jan 31, 2024
Introduction Integrating Apache Kafka with Hadoop is becoming an increasingly popular way to efficiently process large volumes of data. Apache Kafka is a distributed streaming platform that allows for high-throughput data ingestion,......

How to Add and Manage Brokers in Kafka (with Examples)

Updated: Jan 31, 2024
Introduction Apache Kafka is a distributed stream processing system which is widely used for handling real-time data feeds. As businesses grow and data demands increase, the ability to scale and manage Kafka brokers becomes essential.......

How to Expand a Kafka Cluster (with Examples)

Updated: Jan 31, 2024
Overview Apache Kafka is a powerful distributed streaming platform that is widely used to build real-time data pipelines and streaming applications. As the demand for processing large volumes of data in real-time increases, scaling a......