Built on the rock-solid Apache Cassandra® NoSQL database, K8ssandra brings together a complete operational data platform for Kubernetes including APIs, monitoring, and backups.
Apache Cassandra® is used in cloud-native applications that require massive resilience and scalability. With multiple nodes replicating data all the time, we need advanced knowledge and tooling to understand the …
The K8ssandra 1.1.0 release builds on the rock-solid 1.0 foundation with improved storage and a number of organizational updates and project maturity milestones.
This is the second post in a two-part series that demonstrates how the K8ssandra Operator simplifies deploying and managing a multi-region Apache Cassandra® cluster within Azure Kubernetes Service (AKS). To …
Among the many capabilities and features that the new K8ssandra Operator brings to the table, perhaps the most exciting is the ability to deploy and manage multiple datacenter clusters deployed …
“New Relic is highly supportive of standardizing community-supported tools for operating and managing Cassandra clusters. We are excited about the K8ssandra launch and look forward to actively contributing and collaborating with the broader open source community. This is a great starting point for new and existing users to run Cassandra in Kubernetes and benefit from direct access to the best available Cassandra expertise and practices,”
Tom Offermann Lead Software Engineer at New Relic
Hassle-free Cassandra clusters management
Simplicity
From install command to a fully operational cluster in minutes, K8ssandra makes it trivial to install, configure, and manage a complete data platform. Native Kubernetes operators handle day-to-day operation of services.
At its core K8ssandra is powered by Apache Cassandra®, a database driving many of the most popular websites on the internet today. With a focus on availability across a suite of failure domains, the database and its data stay online.
With Cassandra’s peer-to-peer architecture at its foundation, K8ssandra allows for linear scaling alongside changes in traffic. With the addition of Stargate, operators can choose how to scale, from query processing to data capacity.
