Apache Kafka has become one of the sought-after applications when one talks about real-time streaming. According to Jay Kreps, CEO of Confluence, it is one of the most popular open-source projects in the world. So what is it, and how is it suited in the current real-time-based Event-Driven Architectures on
Company: Mojix is a US-based leading item chain management solutions provider to retail and industrial enterprises around the globe. The company’s software solutions work in real-time and are hardware agnostic. They aggregate and process data streams from various sensors to provide business insights. Let's see how they used real-time data
Event Streaming in Apache Kafka Event streaming platforms are the new revolution happening in the data infrastructure and application architecture. The infrastructure technology has concentrated chiefly on building one application, meaning one data store servicing one app. However, in a company, there are more than hundreds of applications, datastores, data warehouses. The
CASE STUDY: Pan-European Stock Exchange, Euronext using Confluent Kafka Streams for Trading Platform
Company: Headquartered in Amsterdam, Netherlands, Euronext is a leading stock exchange with a global reach. The Exchange operates in regulated securities and derivatives markets in Amsterdam, Brussels, Lisbon and Paris, Ireland, and the UK. In this case study, we will see Kafka Streams example on how Euronext used Confluent Kafka
Recursion is a biotechnology company founded in 2013, headquartered in Salt Lake City, Utah. It accelerates drug discovery by combining experimental biology, artificial intelligence, automation, and real-time event streaming. It has built a system that processes over three petabytes of biological image data generated on Recursion’s robotic platform. The company
Bank Rakyat Indonesia (BRI) – the largest bank in Indonesia - is also the largest microfinance institution globally. It has 75 million customers and a market capitalization that exceeds $38 billion. Let's see how they expanded their operations with the help of big data analytics using Kafka. Challenge: The bank
Company: AO.com, an online retailer AO is one of the UK’s leading electrical retailers. The company has been operating for the last twenty years, selling over 9,000 electrical products to millions of customers across the UK. Challenge: For a retail business speed of its operations is of utmost importance.
DriveCentric, founded in 2010, is a customer relationship management (CRM) and internet marketing company, providing automotive dealerships with tools to connect with customers. Thanks to DriveCentric’s unique position in the market, the company has started growing significantly. This growth meant however, that DriveCentic had to alter its core product to
Kafka Connect Framework is a robust abstraction of Kafka producers and Consumers with high availability and distributed operation. That means, this piece of cake is what organisations need. These are special JVM applications which manage the underlying server resources. Developers and architects need not worry about writing too much custom
Undoubtedly, Apache Kafka has taken the business world by storm with its impeccable event streaming capabilities. It acts as a backbone to the companies in creating a real-time, continuous data source to streamline their business processes. You must prioritize leveraging Kafka Security features before implementing them to your business applications.
Confluent Kafka security configuration Secure Socket Layer (SSL) is a security protocol for the transport layer. In SSL Protocol data is divided into fragments. The fragments are compressed and encrypted Message Authentication Code (MAC) generated by algorithms like Secure Hash Protocol(SHA) and MD5(Message Digest) is appended. SSL is the predecessor