Patrick McFadin on foojay.io - Friends of OpenJDK

Kubernetes and the Data Centre: Is Full Scale Migration Possible?

Thu, 21 Jul 2022 13:48:13 +0000

Data centres used to be exactly that - the centres of our data worlds, where all information, files and records would be kept and controlled.

Today, that is no longer the case. More companies are moving to cloud services, whether this is dialling down on their traditional on-premises environments or never setting them up in the first place.

This is not to say that data centres will be wholly abandoned for cloud, but the mix will continue to evolve and be very different to today. Gartner predicts that by 2025, 85% of infrastructure strategies will take a more hybrid approach, integrating on-premises, colocation, cloud and edge delivery options, compared with 20% in 2020.

The End of the Beginning for Apache Cassandra

Tue, 12 Jul 2022 17:43:39 +0000

Image: Pixabay

Editor’s note: This story originally ran on July 27, 2021, the day that Apache Cassandra 4.0 was released.{#4bbb}

Today is a big day for those of us in the Apache Cassandra community. After a long uphill climb, Apache Cassandra 4.0 has finally shipped . I say finally, because it has at times seemed like an elusive goal. I’ve been involved in the Cassandra project for almost 10 years now and I have seen a lot of ups and downs.{#d6a4}

How to Develop and Test an Automated CI/CD Workflow with Cassandra

Fri, 03 Jun 2022 08:52:14 +0000

In this post, we’ll show you how to develop a CI/CD workflow using Apache Cassandra ™with a GitHub Actions runner. See for yourself how much time and effort you can save by deploying Cassandra cloud-natively while you test and deploy your cloud-native applications!{#6067}

If you have projects that depend on Apache Cassandra ™ and you want to develop an automated continuous integration and continuous delivery (CI/CD) flow, you’re going to need to create Cassandra clusters dynamically for your tests to make sure that your app works after each code change. DataStax does this every day — we run Cassandra in Kubernetes to power Astra DB . And, we use continuous testing of our Cassandra deployments to make sure Astra DB works reliably.{#8d10}

Why Developers Should Use Apache Pulsar

Thu, 19 May 2022 15:10:49 +0000

Apache Pulsar is an open source streaming platform that addresses some important limitations in Kafka, particularly for cloud-native applications.
SPainter VFX / Getty Images

If you are building applications today, you are probably familiar with the microservices model: Rather than building big monolithic applications, we break services down into isolated components that we can independently update or change over time.

Microservices deployments then can use a message bus to decouple and manage the communication between services, which makes it easier to replay requests, handle errors, and deal with load spikes and rapid increases in requests while maintaining the serialized order.

Have you upgraded to Cassandra 4.0 yet?

Fri, 11 Mar 2022 08:35:20 +0000

Alongside stability, Apache Cassandra 4.0 stands out for its ability to scale operations faster, its new auditing capabilities, and the way it embraces privacy by design. In this article, we’ll cover the new features and walk you through the steps required to upgrade to Cassandra 4.0.

The general availability of Apache Cassandra 4.0 marks the most stable release in the project’s history.

Even with the 4.0 beta 1 release back in July 2020, Project Management Committee (PMC) members were confident the latest version of the distributed NoSQL database would be ready to go to work with Apache Cassandra Committer; PMC member Sankalp Kohli at the time indicated that “users will be able to use the release knowing it is production-ready on day one.”

The Serverless Database You Really Want

Thu, 03 Mar 2022 20:43:05 +0000

The dreaded part of every site reliability engineer’s (SRE) job eventually: capacity planning. You know, the dance between all the stakeholders when deploying your applications. Did engineering really simulate the right load and do we understand how the application scales? Did product managers accurately estimate the amount of usage? Did we make architectural decisions that will keep us from meeting our SLA goals? And then the question that everyone will have to answer eventually: how much is this going to cost? This forces SREs to assume the roles of engineer, accountant and fortune teller.

Kubernetes and Apache Cassandra: What Works (and What Doesn’t)

Fri, 14 Jan 2022 16:30:50 +0000

“I need it now and I need it reliable”

– ANYONE WHO HASN’T DEPLOYED APPLICATION INFRASTRUCTURE

If you’re on the receiving end of this statement, we understand you here in the K8ssandra community . Although we do have reason for hope. Recent surveys have shown that Kubernetes (K8s) is growing in popularity, not only because it’s powerful technology, but because it actually delivers on reducing the toil of deployment.

New Survey Finds Data on Kubernetes Is No Longer a Pipe Dream

Thu, 30 Dec 2021 15:52:00 +0000

For people that work in infrastructure and application development, the pace of change is quick. Finish one project and it’s on to the next. Each iteration requires an evaluation asking if the right technology is being used and if it provides a new advantage. Kubernetes has been on the fast track of continuous evaluation. New projects and methodologies are continuously emerging and it can be hard to keep up. Then there is the question of running stateful services. The Data on Kubernetes community has released a report titled “Data on Kubernetes 2021” to give us a snapshot of where our industry sits with stateful workloads. Over 500 executives and tech leaders were asked some very direct and insightful questions about how they use Kubernetes. It turns out that there were a lot of surprising finds. Some that I would have never predicted. Let’s dig into some of the highlights that stood out to me.

The future of cloud-native databases begins with Apache Cassandra 4.0

Wed, 29 Dec 2021 07:40:00 +0000

“Reliability at massive scale is one of the biggest challenges we face at Amazon.com, one of the largest e-commerce operations in the world; even the slightest outage has significant financial consequences and impacts customer trust.”

This was the first line of the highly impactful paper titled “Dynamo: Amazon’s Highly Available Key-value Store.” Published in 2007, it was written at a time when the status quo of database systems was not working for the massive explosion of internet-based applications. A team of computer engineers and scientists at Amazon completely re-thought the idea of data storage in terms of what would be needed for the future, with a firm footing in the computer science of the past. They were trying to solve an immediate problem but they had unwittingly sparked a huge revolution with distributed databases and the eventual collision with cloud-native applications.