Kafka -

Kafka

is being used by tens of thousands of organizations, including over a third of the Fortune 500 companies. It’s among the fastest growing open source projects and has spawned an immense ecosystem around it. It’s at the heart of a movement towards managing and processing streams of data.

What is event streaming?

Event streaming is the digital equivalent of the human body’s central nervous system. It is the technological foundation for the ‘always-on’ world where businesses are increasingly software-defined and automated, and where the user of software is more software. Technically speaking, event streaming is the practice of capturing data in real-time from event sources like databases, sensors, mobile devices, cloud services, and software applications in the form of streams of events; storing these event streams durably for later retrieval; manipulating, processing, and reacting to the event streams in real-time as well as retrospectively; and routing the event streams to different destination technologies as needed. Event streaming thus ensures a continuous flow and interpretation of data so that the right information is at the right place, at the right time.

What can I use event streaming for?

Event streaming is applied to a wide variety of use casesacross a plethora of industries and organizations. Its many examples include:

To process payments and financial transactions in real-time, such as in stock exchanges, banks, and insurances.
To track and monitor cars, trucks, fleets, and shipments in real-time, such as in logistics and the automotive industry.
To continuously capture and analyze sensor data from IoT devices or other equipment, such as in factories and wind parks.
To collect and immediately react to customer interactions and orders, such as in retail, the hotel and travel industry, and mobile applications.
To monitor patients in hospital care and predict changes in condition to ensure timely treatment in emergencies.
To connect, store, and make available data produced by different divisions of a company.
To serve as the foundation for data platforms, event-driven architectures, and microservices.

Apache Kafka® is an event streaming platform. What does that mean?

Kafka combines three key capabilities so you can implement your use cases for event streaming end-to-end with a single battle-tested solution:

To publish (write) and subscribe to (read) streams of events, including continuous import/export of your data from other systems.
To store streams of events durably and reliably for as long as you want.
To process streams of events as they occur or retrospectively.

And all this functionality is provided in a distributed, highly scalable, elastic, fault-tolerant, and secure manner. Kafka can be deployed on bare-metal hardware, virtual machines, and containers, and on-premises as well as in the cloud. You can choose between self-managing your Kafka environments and using fully managed services offered by a variety of vendors.

kafka keys map

10 Comments

Basma says:

2022-04-27 at 11h14


Good post.

Thanks.
1. Zelmanti says:
  
  2022-04-30 at 12h02
  
  
  Thank you for your comment !
2. Zelmanti says:
  
  2022-04-30 at 12h03
  
  
  Thank you for your comment !
3. Zelmanti says:
  
  2022-04-30 at 16h00
  
  
  Thank you for your comment
Ahmed says:

2022-04-27 at 11h15


Thank you
1. Zelmanti says:
  
  2022-04-30 at 12h03
  
  
  Thank you ahmed for your comment
Hanane says:

2022-04-29 at 12h40


Great topics thank’s !
Nabil says:

2022-04-29 at 16h53


Amazing thanks GHM Notes
1. Zelmanti says:
  
  2022-04-30 at 12h04
  
  
  Thank’s ahmed
2. Zelmanti says:
  
  2022-04-30 at 16h04
  
  
  Thank’s nabil