Jeff Carpenter on foojay.io - Friends of OpenJDK

How the world caught up with Apache Cassandra

Thu, 15 Sep 2022 16:50:50 +0000

The O’Reilly book, Cassandra: The Definitive Guide, features a quote from Ray Kurzweil, the noted inventor and futurist: {#speakable-summary}

“An invention has to make sense in the world in which it is finished, not the world in which it is started.”

This quote has a prophetic ring to it, especially considering my co-author Eben Hewitt included it in the 2010 first edition of this book we wrote, back when Apache Cassandra, the open-source, distributed, and highly scalable NoSQL database, was just on its 0.7 release.

Multi-cluster Cassandra with Google Kubernetes Engine (Pt. 2)

Thu, 08 Sep 2022 17:20:08 +0000

This is the second in a series of posts examining patterns for using K8ssandra to create Cassandra clusters with different deployment topologies.

In the first article in this series, we looked at how you could create a Cassandra cluster with two datacenters in a single cloud region, using separate Kubernetes namespaces in order to isolate workloads. For example, you might want to create a secondary Cassandra datacenter to isolate a read-heavy analytics workload from the datacenter supporting your main application.

Deploy a Multi-Datacenter Cassandra Cluster in Kubernetes

Wed, 10 Aug 2022 08:27:59 +0000

The Get Started examples on the K8ssandra site are primarily concerned with spinning up a single Apache Cassandra datacenter in a single Kubernetes cluster.

However, there are many situations that can benefit from other deployment options.

In this series of articles, we’ll examine different deployment patterns and show how to implement them using K8ssandra.

Flexible topologies with Cassandra

From its earliest days, Cassandra has included the ability to assign nodes to datacenters and racks. A rack was originally conceived as mapping to a single rack of servers connected to shared resources, like power, network, and cooling.

Why a Cloud-Native Database Must Run on K8s

Tue, 19 Jul 2022 17:44:09 +0000

We’ve been talking about migrating workloads to the cloud for a long time, but a look at the application portfolios of many IT organizations demonstrates that there’s still a lot of work to be done. In many cases, challenges with persisting and moving data in clouds continue to be the key limiting factor slowing cloud adoption, despite the fact that databases in the cloud have been available for years.

For this reason, there has been a surge of recent interest in data infrastructure that is designed to take maximum advantage of the benefits that cloud computing provides. A cloud-native database is one that achieves the goals of scalability, elasticity, resiliency, observability and automation; the K8ssandra project is a great example. It packages Apache Cassandra and supporting tools into a production-ready Kubernetes deployment.

Why we decided to build a K8ssandra Operator - Part 4

Tue, 22 Feb 2022 17:04:28 +0000

In the first , second , and third posts in this series, we’ve shared conversations with K8ssandra core team members on our journey to build a Kubernetes operator for K8ssandra. We’ve discussed the virtues of the Helm package manager versus Kubernetes operators for deploying and managing infrastructure in Kubernetes and some of our implementation choices for the operator.

In this final post of the series, we pick up from the previous post with a discussion of how we decided to structure our projects in GitHub, how we test the K8ssandra operator, and our hopes for how the operator will expand the K8ssandra developer community.

Unboxing K8ssandra: The Data Layer For Your Kubernetes-Powered Applications

Tue, 01 Feb 2022 17:51:35 +0000

A Complimentary Live Webinar, Sponsored by DataStax

Kubernetes made it easy to deploy and scale out your cloud-native applications. With K8ssandra , you can now scale application data with the same simplicity and high availability. Join us as we unbox K8ssandra a cloud native data layer for Kubernetes and explore how you can deploy it alongside your applications.

Install k8ssandra
Authenticate with Stargate
Query your data via a convenient API (REST, document, or graphql)

Not familiar with Cassandra? Astra DB is a great (free) place to learn without any of the infrastructure setup, or management headaches.

How to Put a Database in Kubernetes?

Thu, 13 Jan 2022 09:18:38 +0000

Learn the key steps of deploying databases and stateful workloads in Kubernetes and meet the cloud-native technologies, like K8ssandra, that can streamline Apache Cassandra for K8s.{#95cc}

The idea of running a stateful workload in Kubernetes (K8s) can be intimidating, especially if you haven’t done it before. How do you deploy a database? Where is the actual storage? How is the storage mapped to the database or the application using it?{#6cde}

Why K8ssandra?

Thu, 06 Jan 2022 12:10:09 +0000

The problem: scalable data persistence for cloud-native applications

The past decade and a half has brought tremendous change in how we in the software industry think about building and delivering internet applications. With the launch of Amazon Web Services (AWS) in 2006, companies of any size could access cloud computing infrastructure. The burst of creativity that followed gave birth to concepts like cloud-native in 2010, and methodologies such as the twelve-factor app in 2011.

The Search for a Cloud-Native Database

Fri, 16 Jul 2021 07:40:06 +0000

The concept of “cloud-native” has come to stand for a collection of best practices for application logic and infrastructure, including databases. However, many of the databases supporting our applications have been around for decades, before the cloud or cloud-native was a thing. The data gravity associated with these legacy solutions has limited our ability to move applications and workloads.

As we move to the cloud, how do we evolve our data storage approach? Do we need a cloud-native database? What would it even mean for a database to be cloud-native? Let’s take a look at these questions.

Kubernetes Is The Best Technology For Running A Cloud-Native Database

Wed, 30 Jun 2021 09:13:19 +0000

For this reason, there has been a surge of recent interest in data infrastructure that is designed to take maximum advantage of the benefits that cloud computing provides. A cloud-native database is one that achieves the goals of scalability, elasticity, resiliency, observability, and automation; the K8ssandra project is a great example. It packages Apache Cassandra and supporting tools into a production-ready Kubernetes deployment.