Oct 28, 2016

Simplifying Distributed Systems Using Apache Kafka

With the rising popularity of micro service architectures and typical scaling patterns used at enterprises, distributed systems are becoming more common and complex. What was once a simple web server connected to a database now can entail multiple databases, caches and integrations to other services/systems. By using Apache Kafka one can take much of the integration complexity out of the system, reduce coupling between the different components, easily expand functionality without disruption and scale horizontally.

This presentation will cover patterns and concepts that can be used to achieve all of the above. There will be a quick overview of how Apache Kafka works, it’s differences from other messaging brokers and why that’s important. I’ll speak about the good, the bad and what was missed during my experience working with large distributed systems. Finally I’ll briefly mention other technologies that work well with Kafka.

Original slides here.

About the Author

Object Partners profile.

One thought on “Simplifying Distributed Systems Using Apache Kafka

  1. sandipan mukherjee says:

    yes you are right..Apache Kafka is a stream-processing platform used for high-quality Apache Kafka developers analytic streaming, data pipeline, mission-critical application, and data integration. You can simply read, write, process, and store the events in any platform.
    Ksolves is backed by an array of high-quality developers carrying a healthy experience in the field. More than that, we are dedicated to providing the best Kafka service that surpasses your expectations and meet your requirements.

Leave a Reply

Your email address will not be published. Required fields are marked *

Related Blog Posts
Feature Flags in Terraform
Feature flagging any code can be useful to developers but many don’t know how to or even that you can do it in Terraform. Some benefits of Feature Flagging your code You can enable different […]
Infrastructure as Code – The Wrong Way
You are probably familiar with the term “infrastructure as code”. It’s a great concept, and it’s gaining steam in the industry. Unfortunately, just as we had a lot to learn about how to write clean […]
Snowflake CI/CD using Jenkins and Schemachange
CI/CD and Management of Data Warehouses can be a serious challenge. In this blog you will learn how to setup CI/CD for Snowflake using Schemachange, Github, and Jenkins. For access to the code check out […]
How to get your pull requests approved more quickly
TL;DR The fewer reviews necessary, the quicker your PR gets approved. Code reviews serve an essential function on any software codebase. Done right, they help ensure correctness, reliability, and maintainability of code. On many teams, […]