It’s no secret that most businesses are going completely digital, and their daily batch cycle of feedback on fresh data becomes more blurry over time. As a result, big data management has become a disaster in these companies, where data is created continuously, rather than batch-by-batch. This complex continuous data from sales, shipments, marketing, and beyond needs to be processed and evaluated in real-time. And there is only one way to get rid of these problems and that is to adopt Kafka. Apache Kafka as a service has already become the dominant choice for many leading firms and is known to perform best in handling large amounts of data. Although Kafka started out as a very scalable messaging system, it evolved to fulfill our vision of being a distributed streaming platform. There is growing acceptance of Kafka as a central platform for handling streaming data across businesses, and it will undoubtedly brighten your company’s future as well. Now, let’s take a look at its benefits and why Apache Kafka is a perfect fit for your company.
What Kafka Brings To Your Company
In any corporate, event-driven architecture is becoming increasingly important and more and more people are adopting Apache Kafka in their business. Companies like yours can also benefit greatly from the use of Kafka’s event streaming capabilities. Here’s a quick rundown of what Apache Kafka as a service can bring to your organization.
Advanced Access Control
Although the data you process may be sent to many destinations, Kafka allows you to manage it through a single centralized method. Its producers and consumers are designed to write and read from a specific queue. Kafka makes it easy for any team to access data. It serves as an effective access control method without the need to create a separate authentication structure. You can increase the security of your system with ACLs by restricting access to business-critical or classified sections, and at the same time empowering individuals by providing them with data they might not otherwise have.
Easy Storing And Processing Of Data
Event streaming applications are now possible due to Apache Kafka’s ability to handle data at any time. By using Kafka, a distributed streaming platform, you can integrate messaging, storage, and processing capabilities into a single, unified platform that opens use cases, which are impossible in other technologies. Distributed Commit Log (DCL) enables Apache Kafka to handle both the current as well as past data by merging messaging and storage in a single database system. As a result, the number of network round trips often required by the different technologies to process the two separately is greatly reduced.
Fault Tolerance
Kafka is known for its fault tolerance and flexibility. It has an inherent ability to cope with node/machine failures within a set of nodes. There will be no data loss in case of server failure as there are other servers to handle that task. Kafka enforces fault tolerance by implementing replication to the partitions. At the subject level, we can define the replication factor. We do not set up replication factors for individual partitions; Instead, we can set one for a topic, which applies to all partitions in that topic.
Low Latency & High Throughput
Without such large hardware, Apache Kafka as a service is able to handle the high-velocity, high-volume data with low latency of the millisecond range that most new use cases demand. Apache Kafka allows you to consume data anytime you want by decoupling your data stream. Without a slow integration, Apache Kafka reduces latency to just 10 milliseconds. This implies you’ll be able to deliver data fast and that too in real-time. Furthermore, it can manage massive amounts of data by horizontally scaling hundreds of brokers (or servers) within a cluster.
Scalability
The scalability of Apache Kafka is the solution’s main selling feature. Distributed systems can be scaled and operated as a service more readily. By adding additional nodes Kafka can be scaled out on the fly, without incurring any downtime. Furthermore, inside the Kafka cluster, message management is completely transparent and seamless. Transitioning to an event-driven microservices architecture helps applications to be more agile, not just in terms of development and DevOps, but also in terms of business.
User-Friendly
Kafka has the capability to integrate with a diverse set of consumers. The best thing about Kafka is that it can behave or act differently depending on the consumer it interacts with, because of the unique ability of each Kafka client to manage these messages. In addition, Kafka works effectively with a wide variety of users who are writing in different languages.
Apache Kafka: Meeting Your Business Needs
A large number of firms are harnessing the potential of big data, machine learning, and cloud-native applications to gain profitability, and so is your company. Being a one-stop solution, Apache Kafka fits perfectly with your business needs. By using Kafka, you will be able to develop additional data and projects and enable your organization to respond to incidents more efficiently in real-time. Undoubtedly, Kafka can brighten the future of your company. When alternative standards-based broker systems fail, Kafka enables you to take on the Big Data challenge. Overall, Kafka comes with huge benefits and it is the best practice to adopt in your company but shifting your entire system to Apache Kafka at once is not the right strategy to integrate Kafka in your business. Instead, start with a pilot program first.
Also, to set up a small project on Apache Kafka it would be advisable to start with managed services or hire a consultant as it helps you to simplify and streamline your Apache Kafka integration so that it fits well with your existing process or environment of the company. You can get a free trial from Ksolves Company, known for providing exceptional Apache Kafka consulting and development services. With the ability to provide round-the-clock solutions, our Apache Kafka managed services ensure guaranteed results and highly sustainable deployment. We have our Apache Kafka experts or developers in India, the USA, and other areas of the world. Ksolves’ collaboration with the Apache Foundation for the smooth implementation and mentorship of Apache Kafka is what makes Ksolves stand out among its competitors.
Apache Kafka – Best Practice To Implement For Discovering Your Company’s Bright Future!
Contact Us for any Query
Email: sales@ksolves.com
Call: +91 8130704295
Read related article –
Integrating Apache NiFi and Apache Kafka
Ignite The Fire In Your Apache Kafka Using Spring Boot
AUTHOR
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.
Share with