If you are one of those who don’t know about Kafka, it is the right time to learn about this scalable, fault-proof messaging system that is gaining huge popularity these days. It is an open-source streaming platform, powered by Apache Software Foundation, allowing you to build distributed applications. It has become a powerful messaging technology for data streams that is a great alternative to existing platforms.
The goal of designing this publish-subscribe messaging system is to build real-time data pipelines and real-time streaming applications that handle data flow. The publish-subscribe system has the capability to deliver persistent messages in a scalable way. With this distributed streaming platform, sending messages between processes, applications and teamspeak dedicated servers has become easier.
Apache Kafka is helping businesses for high-performance data pipelines, streaming analytics, data integration and complex applications. It has become a popular choice for companies such as Twitter, Uber, Airbnb and others. Let’s explore why using Apache Kafka is beneficial for businesses and how this robust data streaming tool is different from traditional tools.
Prevent Your System from Crashing
Today many tech companies are adopting Apache Kafka technology for their IT infrastructure. Business owners are focusing on real-time architecture to reduce the time required for data availability. Formerly, data transmission from external sources is a cumbersome process. Thanks to Kafka, which makes this slow, multi-step process easier by making data available to the target system in real time. The best part is it will not crash your system as it has a separate set of servers, called Kafka cluster.
Reduce the Need for Multiple Integrations
Developers have to write code for different integrations so that they can harvest data from different systems. Thanks to Apache Kafka technology which significantly reduces the need for multiple integrations. Instead of coding multiple integrations, you have to create a single integration for each producing system and consuming system.
One of the major benefits of using Apache Kafka is that it can manage a high amount of data per unit time. It makes it super easier to process the data in real-time because of its low latency. Since Kafka is written in Java and Scala, it is easily compatible with other programming languages. The latency value of Kafka is up to 10 ms. It decouples the message that allows users to consume the message anytime.
Kafka is a great alternative to many traditional message brokers. It is because Kafka has high throughput and fault-tolerance and default portioning, compared to other traditional message brokers. It makes it a perfect solution for many large-scale, complex message processing applications.
Its low latency enables it to manage high volume and high velocity messages. Kafka provides support to hundreds of thousands of messages in a second. This is why Kafka has become a preferred choice for many tech companies to handle a high volume of data.
Real-time Data Processing
Whether it is predictive maintenance or preventing fraudulent transactions, real-time data processing is important for businesses to perform important functions. Kafka has the ability to transmit data from producers to data handlers and then to data storage. This capability makes real-time data processing much easier. Today, instant data processing has become the utmost need for almost every business.
Logging and Monitoring System
Another benefit of using Apache Kafka is logging and monitoring the system. With Apache Kafka, it is now possible to publish logs into Kafka topics. Kafka cluster stores, aggregates and processes logs. It makes it possible to build pipelines that include different producers and consumers where the logs are transformed. It can save the logs in a traditional log storage format.
It is also useful for monitoring purposes and reading data from Kafka topics. It has a special component that is exclusively tailored for monitoring and alerting, making real-time monitoring simpler and easier.
Durable and Reliable
Kafka is robust and durable, and has the ability to keep the messages on the disks. It provides intra-cluster replication which makes it a highly durable messaging system for businesses. Furthermore, it can replicate data and support multiple subscribers. It has an amazing ability to automatically balance consumers in the event of failure, making it a reliable messaging system for companies.
High-Performance and Scalable
Kafka delivers better throughput for subscribing and publishing, by making the most out of disk structures that have the ability to offer high performance. The performance is not affected, even when handling high volume of data or stored messages. This scalable, distributed system has the ability to scale quickly and handle different terabytes of data without incurring any downtime.
Manage Multiple Producers and Consumers
Kafka has the ability to manage different producers at the same time, whether clients are using the same topic or different topics. It makes the system more consistent and perfect for aggregating data from different frontend systems.
Similarly, Kafka is also a good choice for multiple consumers to read a single stream of messages, without any interference. Consumers can choose to share a stream to ensure that the group gets to process the given message for once.
All in all, Kafka is the best enterprise cloud infrastructure that provides a reliable real-time, ultra-fast and reliable messaging system. Many companies that offer mobile app development services are using Kafka for building apps that require real-time data processing or application activity tracking. Developers thinking of building resilient data services and applications should go for Kafka. For those looking for multiple publish, or subscribe and queuing tools also make the most out of Kafka amazing benefits.