Kafka, Docker and Microservices

APIs are one of the conventional approaches to interacting between microservices. However, communication becomes more complicated as the system progresses and the number of microservices increases, New architectures strive to decouple senders from receivers, with asynchronous messaging, to resolve this design disadvantage. Let's talk about Docker, Microservices & Kafka emerging sources, keeping this concept in mind

Docker

Docker is a software framework for container-based building applications, tiny and lightweight execution environments that share the operating system kernel but otherwise run isolated from each other.

Originally designed for Linux, Docker now runs on both Windows and MacOS.

Discussing the emergence

As an internal project inside dot Cloud, a platform-as-a-service company, Hykes started the Docker project in France. In 2013, at PyCon, Docker debuted to the public in Santa Clara. In March 2013, it was released as open source. It was using LXC as its default execution environment at the time.

Micro services

Microservices is a distinctive form of software systems architecture that aims to concentrate on creating single-function modules with well-defined interfaces and operations.

As a suite of small services, they help create an application, each running in its own process and deployable independently. These services may be written in various programming languages and may use various techniques for storing data. Although this results in the creation of scalable and versatile systems, a dynamic makeover is needed.

Discussing the emergence

During a presentation at the Network Services Edge conference, Peter Rodgers introduced the concept 'Micro-Web-Services' as early as 2005. "He argued for "REST-services" against conventional thinking and at the height of the SOAP SOA architecture hype curve. He goes on to say "Micro-Services are composed using Unix-like pipelines. Complex service assemblies are abstracted behind simple URI interfaces. He explained how a well-designed microservice platform, together with Unix-like scheduling and pipelines, applies the underlying architectural concepts of the Web and REST services to provide radical versatility and enhanced simplicity in service-oriented architectures.

Kafka

Apache Kafka is a distributed commit log that uses message-based topics for fast, fault-tolerant communication between producers and consumers. To create a new generation of distributed applications capable of managing billions of events and millions of transactions, Kafka provides the messaging backbone.

Kafka is mainly used to build data pipelines for real-time streaming and applications that adapt to the data streams. To allow storage and analysis of both historical and real-time data, it combines messaging, storage, and stream processing.

Discussing the emergence

Originally developed by LinkedIn, Kafka was open-sourced in early 2011. On 23 October 2012, graduation from the Apache Incubator occurred. After the poet, Franz Kafka, Jay Kreps decided to name the program because it is "a system optimized for writing" and he liked the work of Kafka.