Apache Kafka Architecture For Microservices: 5 Advantages

Apache Kafka

5 MIN READ

January 24, 2022

Apache Kafka architecture

The world has welcomed the era of Microservices a long time ago. Application architecture has changed from monolithic to much flexible and event-driven methods. System architects face many challenges when it comes to creating a microservices system. The first challenge is to figure out whether you need services to directly communicate or you need a broker. To overcome this, Apache Kafka architecture comes to the rescue. Apache Kafka is a distributed partitioned commit log service that works like a messaging system. However, it comes with its own distinct personality.

In this blog, we will discuss why Apache Kafka is the best choice for Microservices.

Why is Kafka the first choice for Microservices?

Apache Kafka was designed to solve issues of readability and scaling that holds back queues of older messages. Apache Kafka architecture for microservices utilizes an application setup where Microservices communicate with each other through Kafka.

This is made possible by the publish-subscribe approach of Apache Kafka for handling record writing and reading. The pub-sub model is a strategy where the sender sends events whenever available and the receiver chooses which events to receive.

Let’s dig deeper and find out why Kafka is an excellent platform for Microservices and the 5 major advantages of Apache Kafka architecture.

Why should Kafka be the most preferred choice for Microservices?

Let us now discuss the five major advantages that Apache Kafka architecture offers-

Kafka Environment

Apache Kafka is designed for easy integration with various open-source platforms. The best part is that the ecosystem continues to grow every day. One of the biggest advantages of Kafka is that it works best when combined with tools like analytic engines and search engines. You can connect Kafka to other data systems with Kafka Connect. It allows data streams to flow with low latency for consumption. You can extend your design to large open-source ecosystems with Apache Kafka architecture.

Easy Integration to existing systems

If you choose Kafka that does not mean you need to disregard all that you have done earlier. You can combine Kafka with the systems you already have. Kafka can be used to send the entire data to the legacy systems to ensure backward compatibility so that you can keep using the systems you already have.

Access Control with Advanced Features

You know that the data you process can be sent to several endpoints. However, Apache Kafka architecture allows you to manage access via a single centralized approach.Only specialized queues are written and read by producers and consumers.

You can further increase the system’s security by restricting access to classified components. This will also empower people as it will give them access to the data which they usually don’t have access to. Apache Kafka experts can examine the errors.

Fault Tolerance and Scaling

Apache kafka is known for its fault tolerance and scalability. Kafka will equalize the burden of processing between the consumers. Additionally, this also reduces the need for any external solutions.

Content can be stored and processed

Apache Kafka is unbothered with the content of the messages it stores. Thus, it can be used for anything. You can add any kind of consumers and producers as per your business requirements. Well, you expand and diversify without having to invest hefty amounts of money.

Conclusion

Now you must have understood why we have said that Apache Kafka is by far the most preferred choice for most of the use cases of Microservices. You will find solutions to many of the challenges with Microservices while offering features like scalability, and speed. Kafka provides high availability and ensures that outages are minimized. Also, the capacity of Kafka to hold the data is amazing and can be used to replay events whenever needed. Ksolves is the best Apache Kafka development company working with efficient techniques to provide you with a flexible Apache Kafka architecture. Our Apache Kafka developers are available at all times to help you in implementing the technology stack that your business needs and deserves. If you are looking for the right Apache Kafka consulting company, you have landed at the correct place. Give us a call to know more.

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AUTHOR

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Anil Kushwaha

Apache Kafka

Anil Kushwaha, Technology Head at Ksolves, is an expert in Big Data and AI/ML. With over 11 years at Ksolves, he has been pivotal in driving innovative, high-volume data solutions with technologies like Nifi, Cassandra, Spark, Hadoop, etc. Passionate about advancing tech, he ensures smooth data warehousing for client success through tailored, cutting-edge strategies.

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