As Apache Cassandra consultants, we get to review a lot of data models. Best practices claim that the number of tables in a cluster should not exceed one hundred. But we rarely see proper benchmarks evidencing the impact of excessive tables on performance. In this blog post, we’ll discuss the potential impacts of large data models and run benchmarks to verify our assumptions.
DataStax Astra is a database-as-a-service (DBaaS) for Apache Cassandra. It is available on AWS, GCP and Azure. Starting with version 2.1, Reaper can use DataStax Astra as a serverless storage backend for its data. In this post, we will walk you through the steps for setting it up in just a few minutes.
It’s been a while since the last feature release of Reaper for Apache Cassandra and we’re happy to announce that v2.1 is now available for download!
Let’s take a look at the main changes that were brought by the Reaper community.
Reaper is a critical tool for managing Apache Cassandra. Kubernetes-based deployments of Cassandra are no exception to this. Automation is the name of the game with Kubernetes operators. It therefore makes sense that Cass Operator should have tight integration with Reaper. Fortunately, Cass Operator v1.3.0 introduced support for Reaper. This post will take a look at what that means in practice.
Reaper is our tool for managing repairs for Apache Cassandra.
tlp-stress is our tool for benchmarking Apache Cassandra clusters.
tlp-cluster is our tool for quickly provisioning Apache Cassandra clusters for test purposes.