A guide to producing, consuming and processing events. Kafka 2.0 was recently released and I thought it would be a good time to review the basics of using Kafka. My goal is to focus on producing, consuming and processing messages or events. This book will therefore cover how to use Kafka’s producer and consumer API, as well as higher level APIs: Kafka Streams, Spark Structured Streaming, and KSQL
Author : Alexis SEIGNEURIN - Data Engineer
In his 15+ year career as a Software Engineer, Alexis has explored many aspects of Data Management using a wide range of languages, frameworks, systems, and databases. He has worked extensively with Spark, Kafka, and AWS technologies, and also contributed to Data Science projects.
Ippon was engaged to help integrate a Wealth Management FinTech into one of our main customers in the finance industry. The primary goal was to increase security and automate the creation of users by integrating this new application into the company’s Single Sign-On (SSO). Ippon worked as a team of three developers closely with their architecture team to deliver this over 4 months.Read more
If you have worked with CI/CD, chances are you have used the likes of Jenkins, GitLab, GitHub Actions, etc. One service I don’t often hear folks talk about is AWS CodePipeline. In this blog, we will make some comparisons between Jenkins and AWS CodePipeline, and see if perhaps it’s time for you to make the switch on your projects.Read more
It is the story of my experience with Ippon Technologies, partnering with Richmond Heritage to lend Product and Technical expertise, to help this legacy survive and keep paying it forward.Read more