Deploy like a Boss: Using Kubernetes® and Apache® Ignite™
If downtime is not an option for you, and your application needs to be extremely low-latency, Kubernetes® and Apache® Ignite™ are open source frameworks that work exceedingly well together to achieve these goals.
With containerization, Kubernetes enables developers to work seamlessly with new versions of their applications, running them where they want with a flexibly scalable experience. Apache Ignite is the perfect complement to this. As a memory-centric platform, Apache Ignite allows you to access distributed data sets processing them using SQL and key-value operations, execute computations, and much more.
In this webinar, GridGain System’s Solution Architect Dani Traphagen will walk through the basics of a Kubernetes and Apache Ignite deployment, including:
- Setting up a Apache Ignite cluster
- Using the Kubernetes IP Finder and the Kubernetes Ignite Lookup Service
- Sharing the Ignite Cluster Configuration
- Deploying your Ignite Pods
- Adjusting the Ignite Cluster Size when you need to scale
At the end of this webinar, you will understand how both technologies work together and provide a better operational experience with your cluster.
GridGain Solutions Architect
Dani Traphagen is a solution architect for GridGain, where she consults on high-tech caching architectures. Previously, Dani consulted at DataStax and led technical training internationally on Apache Cassandra and DataStax Enterprise. Her passion for teaching began while working in the Electrical Engineering and Computer Science department at the University of California, Berkeley, where she taught scientists technical skills, helped create a data science course, and raised awareness about the growing open science community. Dani has since volunteered with and generated training content for a number of organizations, including software carpentry, women in technology, rOpenSci, and GitHub. Earlier in her career, Dani worked in cartilage tissue engineering at the University of California, San Francisco, where her interests for heavy machinery, science, and code fused. If you don’t catch Dani behind a computer, you’ll often see her in the wild, backpacking, riding her bike, or climbing things. She also makes sure to keep the coffee business afloat in her hometown of Hermosa Beach.