By on April 16, 2020
We built Kong to handle any API at any level of scale, but running APIs at scale means storing and managing data at scale. That’s why we’ve always recommended Apache Cassandra for the biggest Kong deployments.
Cassandra is powerful and proven, but it does require some skill to install and operate – which is why we’re excited to hear that Datastax is making Cassandra easy to use at any level of scale with DataStax Astra, a Database-as-a-Service built on Apache Cassandra.
Now, Kong users at any level of scale can have the best of both worlds – easy setup and no operational worries, whether they’re generating 10 requests per second or 100,000.
Oftentimes, Kong users deploy something small and switch to a robust database solution as their program scales, like Cassandra. However, running Cassandra means users need to install, manage or scale their own Cassandra clusters.
Available today, Datastax is offering a preview of how to deploy Kong with Astra. Through a simple configuration step, you can start relying on Astra as the Cassandra-based persistence, all with zero operational burdens for your team. Operations are clean and simple, and you don’t need to worry about the care and feeding of a Cassandra cluster.
Datastax has a great free tier available for users to get started with, and we think this is going to be one of the easiest ways for people to get started with Kong and Cassandra at any level of scale.
To learn more, attend our full-day Destination: Decentralization digital event on April 16, where Matt Kennedy and Jim McCollom from DataStax will share their learnings in making Kong work on Astra.
You can learn more and try DataStax Astra here.
