Author: Yeva Byzek
Putting Events in Their Place with Dynamic Routing
Event-driven architecture means just that: It’s all about the events. In a microservices architecture, events drive microservice actions. No event, no shoes, no service. In the most basic scenario, microservices […]
Getting Your Feet Wet with Stream Processing – Part 2: Testing Your Streaming Application
Part 1 of this blog series introduced a self-paced tutorial for developers who are just getting started with stream processing. The hands-on tutorial introduced the basics of the Kafka Streams […]
Getting Your Feet Wet with Stream Processing – Part 1: Tutorial for Developing Streaming Applications
Stream processing is a data processing technology used to collect, store, and manage continuous streams of data as it’s produced or received. Stream processing (also known as event streaming or […]
Easy Ways to Generate Test Data in Kafka
If you’ve already started designing your real-time streaming applications, you may be ready to test against a real Apache Kafka® cluster. To make it easy to get started with your […]
3 Ways to Prepare for Disaster Recovery in Multi-Datacenter Apache Kafka Deployments
Imagine: Disaster strikes—catastrophic hardware failure, software failure, power outage, denial of service attack or some other event causes one datacenter with an Apache Kafka® cluster to completely fail. Yet Kafka […]
Hands on: Building a Streaming Application with KSQL
In this blog post, we show you how to build a demo streaming application with KSQL, the streaming SQL engine for Apache Kafka®. This application continuously computes, in real time, […]
Stream Processing Made Easy With Confluent Cloud and KSQL
Confluent Cloud™ is a fully-managed streaming data service based on open-source Apache Kafka. With Confluent Cloud, developers can accelerate building mission-critical streaming applications based on a single source of truth. […]
Level Up Your KSQL
Now that KSQL is available for production use as a part of the Confluent Platform, it has never been easier to run the open-source streaming SQL engine for Apache Kafka®. […]
Secure Stream Processing with Apache Kafka, Confluent Platform and KSQL
In this blog post, we first look at stream processing examples using KSQL that show how companies are using Apache Kafka® to grow their business and to analyze data in […]
The Blog Post on Monitoring an Apache Kafka Deployment to End Most Blog Posts
Confluent Platform is the central nervous system for a business, uniting your organization around a Kafka-based single source of truth. Apache Kafka® has been in production at thousands of companies […]
Monitoring Apache Kafka with Confluent Control Center Video Tutorials
Mission critical applications built on Kafka need a robust and Kafka-specific monitoring solution that is performant, scalable, durable, highly available, and secure. Confluent Control Center helps monitor your Kafka deployments […]
Disaster Recovery for Multi-Datacenter Apache Kafka Deployments
Datacenter downtime and data loss can result in businesses losing a vast amount of revenue or entirely halting operations. To minimize the downtime and data loss resulting from a disaster, […]
Building a Real-Time Streaming ETL Pipeline in 20 Minutes
There has been a lot of talk recently that traditional ETL is dead. In the traditional ETL paradigm, data warehouses were king, ETL jobs were batch-driven, everything talked to everything […]
Log Compaction – Highlights in the Apache Kafka® and Stream Processing Community – June 2017
We are very excited for the GA for Kafka release 0.11.0.0 which is just days away. This release is bringing many new features as described in the previous Log Compaction […]