apache cassandra | The Blog Pros

April 30, 2019

Tuning Consistency With Apache Cassandra

One of the challenges faced by distributed systems is how to keep the replicas consistent with each other. Maintaining consistency requires balancing availability and partitioning. Fortunately, Apache Cassandra lets us tune this balancing according to our needs. In this blog, we are going to see how we can tune consistency levels during reads and writes to achieve faster reads and writes.

Before digging more about consistency, let me first discuss CAP Theorem. CAP Theorem describes the tradeoffs in distributed systems; it states that any networked shared-data system can have at most two of three desirable properties:

January 16, 2019

How to Run Apache Cassandra on Kubernetes

With Kubernetes’ popularity skyrocketing and the adoption of Apache Cassandra growing as a NoSQL database well-suited to matching the high availability and scalability needs of cloud-based applications, it should be no surprise that more developers are looking to run Cassandra databases on Kubernetes. However, many devs are finding that doing so is relatively simple to get going with, but considerably more challenging to execute at a high level.

On the positive side, Kubernetes helpfully offers StatefulSets — workload API objects that can be used to manage stateful applications. StatefulSets provide the requisite components to establish stable and unique network identifiers, stable persistent storage, smooth and ordering deployment and scaling (as well as deletion and termination), and automated rolling updates.

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