Our great sponsors
-
We’ve built out a GitHub repo to show you how you can configure and deploy your app and database and test it in an ephemeral way, leveraging a GitHub Actions runner and Kubernetes-in-Docker (kind).
-
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.
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
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.
