How to Develop and Test an Automated CI/CD Workflow with Cassandra

DevOps Tools Developer Tools Databases

Kubernetes Landing Page
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Kubernetes

Kubernetes is an open source orchestration system for Docker containers
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- Open Source
If you have projects that depend on Apache Cassandra™ and you want to develop an automated continuous integration and continuous delivery (CI/CD) flow, you’re going to need to create Cassandra clusters dynamically for your tests to make sure that your app works after each code change. DataStax does this every day — we run Cassandra in Kubernetes to power Astra DB. And, we use continuous testing of our Cassandra deployments to make sure Astra DB works reliably.

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Harness Landing Page

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Harness

Automated Tests For Your Web App

The approach to developing and testing CI/CD workflows that we’ve described here is one that DataStax uses routinely to test its Astra DB workflows (though not necessarily on GitHub). In production, we run our CI flows with GitHub and Jenkins.io, and Harness.io.

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Apache Cassandra Landing Page

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Apache Cassandra

The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

If you have projects that depend on Apache Cassandra™ and you want to develop an automated continuous integration and continuous delivery (CI/CD) flow, you’re going to need to create Cassandra clusters dynamically for your tests to make sure that your app works after each code change. DataStax does this every day — we run Cassandra in Kubernetes to power Astra DB. And, we use continuous testing of our Cassandra deployments to make sure Astra DB works reliably.

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