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Hacking Kubernetes on AWS (EKS) from a Mac - OpenCredo
1/27/2021
OverviewAfter a lot of searching which turned up little information, this blog post serves as an answer to anyone else needing or wanting to achieve the same thing.The Kubernetes community is currentl...
Introduction to cstar
Spotify is a long time user of Apache Cassandra at very large scale. It is also a creative company which tries to open source most of the tools they build for internal needs. They released Cassandra R...
Cassandra Use Cases: When To Use and When Not To Use Cassandra
IntroductionI have a database server that has these features:High available by design. Can be globally distributed. Allows applications to write to any node anywhere, anytime. Linearly scalable by sim...
The Instaclustr LDAP Plugin for Cassandra 2.0, 3.0, and 4.0
LDAP (Lightweight Directory Access Protocol) is a common vendor-neutral and lightweight protocol for organizing authentication of network services. Integration with LDAP allows users to unify the comp...
Understanding the Impacts of the Native Transport Requests Change Introduced in Cassandra 3.11.5
SummaryRecently, Cassandra made changes to the Native Transport Requests (NTR) queue behaviour. Through our performance testing, we found the new NTR change to be good for clusters that have a constan...
Apache Cassandra vs DynamoDB
In this post, we’ll look at some of the key differences between Apache Cassandra (hereafter just Cassandra) and DynamoDB.Both are distributed databases and have similar architecture, and both offer in...
Apache Cassandra 4.0 Beta Released
The beta release of Apache Cassandra 4.0 is finally here, it’s been two years in the making. We’ve had a preview release available to customers since March for testing. A wide range of improvements ha...
The things I hate about Apache Cassandra | Official Pythian® Blog
First, let me start by saying I do not hate Cassandra. I love Cassandra. In its place, Cassandra is a powerful tool designed well to scale to millions of operations per second over geographically dist...