Kafka
Open Source Distributed Event Streaming
Kafka provides a robust, scalable, and distributed architecture that can be used for event data and stream processing.
Kafka
The distributed event streaming platform
Kafka is a powerful event streaming platform specifically designed for sharing streams of data in real-time. It enables applications to process large amounts of data efficiently and reliably to ensure a responsive user experience and seamless communication between different services. With Kafka you can efficiently process data streams in your applications, track user events in near real time, improve scalability and make your application robust and resilient. Kafka is a popular and proven solution for processing data streams in a variety of applications and scenarios, including web applications, microservices, and real-time data analytics.
Features
Top class event streaming
These features make Kafka a powerful and flexible streaming platform that can be used in various application areas, from real-time data analysis and processing to integration and communication between applications and systems.
Distributed streaming platform
Kafka is a robust, distributed streaming platform purpose-built for storing, processing, and streaming large amounts of data. It enables efficient processing of data streams in real time.
High scalability
Kafka can be scaled out by adding brokers to spread the data load. This enables capacity and throughput to scale seamlessly to handle growing data volumes.
Fault Tolerance and Resilience
Kafka replicates data in partitions across multiple brokers. This makes it fail-safe and highly available. If one broker fails, the other brokers can take over the processing without data loss.
Theme based organization
Kafka organizes data into Topics. Each topic represents a data stream of a specific event type. This enables efficient distribution and processing of the data for different use cases.
Retention and Archiving
Kafka stores data for a configurable period or size, also called retention period. This allows data to be kept available over a longer period of time for later processing, analysis and post-processing.
Real-time processing
Kafka allows integration with stream processing frameworks such as Apache Spark or Apache Flink. This enables real-time processing and analysis of data streams, which in turn enables fast response to events and real-time data processing.
Architecture
How does Kafka work in detail?
Kafka is a distributed system consisting of servers and clients that communicate using a powerful TCP network protocol. It can be deployed on bare metal hardware, virtual machines and containers in on-premises and cloud environments.
Server
Kafka runs as a cluster of one or more servers that can span multiple data centers or cloud regions. Some of these servers form the storage tier known as the broker. Other servers run Kafka Connect to continuously import and export data as event streams to integrate Kafka with existing systems such as relational databases and other Kafka clusters. In order to provide a highly scalable and fail-safe solution for business-critical applications, if one server fails, a Kafka cluster can take over its tasks from other servers to ensure uninterrupted operation without data loss.
Client
These make it possible to write distributed applications and microservices that can read, write and process event streams in parallel, in a scalable and resilient manner, even in the event of network problems or machine failures. Kafka ships with some of these clients and is supplemented by dozens of clients made available by the Kafka community. There are clients for Java and Scala, including the Kafka Streams library, for Go, Python, C/C++ and many other programming languages, as well as REST APIs.
Service
Kafka Consulting
We help you with the conception, installation and integration of your environment – for more power, know-how, peace of mind!
Power
Years of experience
We have been supporting our customers in operating their IT infrastructures for many years. Industries, tools, operating systems – we’ve seen, operated and built everything. We know the best practices with Kafka, Elastic, Graylog & Co. and many topics related to Open Source and Linux.
Know How
Full Understanding
We not only understand your IT systems and services, but the big picture and the countless aspects of operating complex IT infrastructures. There is often a lack of time and personnel with increasing complexity and a rapidly changing IT world.
Peace of Mind
Targeted Reinforcement
As Linux generalists and open source experts, we have a broad base and are well integrated into the open source communities. With us you are never alone! Whether as an IT consultant, engineer, support or architect – we strengthen your team and relieve you of work.
Everything from a single source
The holistic portfolio of NETWAYS
You need support with the planning, implementation and operation of Kafka. NETWAYS supports you in all matters relating to consulting, outsourcing and, of course, training.
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