Real Reasons behind Apache Kafka’s Popular Use


A lot of web-scale companies and enterprises have several problems that Kafka can fit only a class of. Kafka can serve as the source of truth by assembling and keeping all of the "facts" or "events" for a system, so for building a set of resilient data services and applications it can be considered. Apache Kafka is a strong and increasingly popular asynchronous messaging technology.

Kafka can be described as a scalable, fault-tolerant, publish-subscribe messaging system that allows you to design distributed applications and powers web-scale Internet companies, like for example LinkedIn, Twitter, AirBnB, and many others. The best thing is Kafka has made a remarkable positive impact on generally slower-to-adopt, traditional enterprises also, besides satisfying interests of Internet Unicorns only.

Kafka was developed around 2010 at LinkedIn by a team including Jay Kreps, Jun Rao, and Neha Narkhede.It was developed to deal with issues like

  • Low-latency ingestion of voluminous event data from the LinkedIn website and infrastructure into a lambda architecture that harnessed Hadoop and real-time event processing systems.
  • Ingesting data into offline batch systems without exposing implementation details to downstream users. To avoid using a push model that could at ease overwhelm a consumer.
  • Getting the data from source systems and appropriately moving it around for enabling one build fancy machine-learning algorithms.

Kafka looks and feels like publish-subscribe system that is capable to deliver in-order and ensure persistent, scalable messaging. It possesses publishers, topics, and subscribers. It can also segment topics and enable huge parallel consumption. All messages written to Kafka are persisted and replicated to peer brokers for fault tolerance, and those messages stay around for a configurable period of time (i.e., 7 days, 30 days, etc.).

The key to Kafka is the log data structure, a time-ordered, append-only sequence of data inserts where the data just an array of bytes. In Kafka, messages are written to a topic that maintains this log (or multiple logs — one for each partition) from which subscribers can read and derive their own representations of the data.
  • Kafka does not have individual message IDs.
  • Kafka being not a traditional message broker can be very fast.
  • Kafka does not keep a track of the consumers that a topic has or who has consumed what messages, so it lightens the load. Kafka, therefore, can make optimizations.
  • Kafka keeps all log parts for a specified time-frame as there are no deletes.
  • It can efficiently stream the messages to consumers using kernel-level IO and does not buffer the messages in user space.
  • It can leverage the operating system for file page caches and efficient write back/write through to disk.

Because of the above-mentioned features, Kafka is popularly used in the big data space as a trustworthy way to ingest and move massive data very quickly. Netflix uses Kafka as its primary backbone for ingestion via Java APIs or REST APIs. Kafka supports micro services and it can offer benefit from having multiple publish/subscribe and an array of tools.

Get enrolled in apache spark and scala training in Bangalore at NPN Training leaded by qualified industry leaders.

Comments

Post a Comment

Popular posts from this blog

Why did Google Stop Using MapReduce and Start Encouraging Cloud Dataflow?

First of all, it is important to know that the old and the conventional MapReduce model is still being used for certain batch computing activities. Nevertheless, there are some specific tasks that cannot be carried out with the help of MapReduce and it is only because of this reason that Google has recently stopped using MapReduce and has started with the use of Cloud Dataflow. For example, Google web search index updating activity is dealing with a huge amount of data but it requires incremental updated on a constant basis. As per reports, Google has come up with an incremental computing mechanism known as Percolator for carrying out this huge data activity. It is important to note that Google has come up with a streaming computing mechanism known as Milwheel for carrying out low-latency computing jobs. Different services such as Google Map views now depend on Milwheel. One thing that is worth noting is that the applications of Google are not created from, no
Read more

How Can SDET Training Progress Your Career?

With the rising innovation and fast-paced developments in the IT sector, there is a growing demand for people who can create user-friendly and useful programs to assist in problem-solving, as well as effectively check if the software is completely error-free and works properly. The Software Development Engineer in Test (SDET) is an IT specialist whose area of expertise covers the program development and testing and evaluations equally effectively. SDET is interested in the entire process of software development, write from code creation to deployment. The expertise of an SDET professional is intensely focused on the testability, reliability, and performance of the program. Hence, the SDET is in high demand in IT companies who wish to downsize their organizations, as they can extract software development and testing services from a single individual. Taking professional SDET training in Bangalore can effectively boost your career in the following ways: 1.        Broader
Read more

Benefits of Spark and Scala Training

Technology needs to be learned from seasoned professionals. Software training needs to be applicable to business and adapted to the real world. Changes and developments are occurring at such an unprecedented level in the IT world that it has become essential for all of us to constantly update and upgrade our skills and practical knowledge. Spark and Scala Training in Bangalore is a platform for the IT inspired souls who wish to be the next generation of Torch Bearers in the Information Technology sector. It is a place for people to constantly incorporate new innovations into their skillset and learn to code in new languages. Sparks and Scala Training in Bangalore is a training that improves your skillset and expands your mind. Some of the myriad benefits of joining this program are listed below: - 1.       Hands-On Learning : The Apache Spark and Scala training in Bangalore lay great emphasis on learning by doing. This course requires you to actually practice everything you
Read more