Distributed Data Stores on Kubernetes
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Are containers good for running anything other than stateless ephemeral services? Let’s explore why and how to run a distributed data store like Cassandra on Kubernetes. This approach can be beneficial for development and testing, as cluster creation, destruction, and set up take minutes instead of hours or days. In this talk, we will explore Kubernetes features, such as Stateful Sets to help work with a distributed data store, Jobs to perform data population, and others, all based on Azure Container Service (ACS/AKS). You’ll leave able to create a Container Service cluster in Azure, deploy a Cassandra Stateful Set, and populate it with data using Jobs.
Transcript
Are containers good for running anything other than stateless ephemeral services? Let’s explore why and how to run a distributed data store like Cassandra on Kubernetes. This approach can be beneficial for development and testing, as cluster creation, destruction, and set up take minutes instead of hours or days. In this talk, we will explore Kubernetes features, such as Stateful Sets to help work with a distributed data store, Jobs to perform data population, and others, all based on Azure Container Service (ACS/AKS). You’ll leave able to create a Container Service cluster in Azure, deploy a Cassandra Stateful Set, and populate it with data using Jobs.
About the speakers
Senior Cloud Developer Advocate at Microsoft