Data center automation is expected to rapidly change the data center industry. Look at any data center industry publication, website, or event and there will be plenty of content predicting what data center automation is going to look like. Data center professionals are curious on how automation is going to change their jobs and data center management. The truth is that we already know.

Whether you’ve heard of or fully jumped on the DevOps or SRE bandwagon, you may have also wondered how the two relate. What’s the difference? Are they really just different ways of looking at the same problem? The term DevOps hit the market first, but SRE wasn’t too far behind. And though they have different origin stories, they both focus on autonomy, automation, and iteration. So why do these paradigms exist? And why do we need both? Let’s look at this further.

Gone are days of large applications having tens of servers to deal with gigabytes of data, when seconds of response time and hours of offline maintenance were acceptable. Modern applications are deployed on everything running thousands of multi-core processors; end-users expect millisecond response times and 100% uptime. Need not mention the applications work with Data in Petabytes.

When your service is undergoing performance issues, it is essential to address them in a timely and frictionless manner. With access to more telemetry and insights, the APM Service Page provides a comprehensive overview of your service and helps you quickly drill down under the hood to diagnose and investigate issues.

Amazon Elastic Kubernetes Service (EKS) is a managed container service designed to deploy and scale cloud-based or on-premise Kubernetes applications. AWS released EKS Blueprints to provide customers with a framework for creating internal development platforms on EKS.

Before continuous integration was invented, developers had to work on code separately before merging it into the end product. This technique had a high chance of error. If something was left out, it took time to determine the problem. Furthermore, communication between team members became difficult as the project grew. The larger the project, the more developers, engineers, and project owners were supposed to be faithful to each other’s schedules.

Containers are great for developers, but containers are also an excellent way to create reproducible, secure, and portable applications. Applications can be deployed reliably and migrated to multiple computing environments quickly using containers. It could be the developer's laptop to the testing environment or staging to the production environment. To use Dockers, Kubernetes, etc., it has been necessary to build containers.

During the past two weeks, our Frontend and Backend teams were busy bees 🐝 with a particular sprint dedicated to bug hunting �� and improvements! Yes, both of the two weeks sprints were dedicated to bugs and improvements ONLY: tracking them, then solving them; gotta catch ‘em all 🚀

It was clear that reality had begun to shift, and that what once would have been horrifying — the outpouring of rage against a backdrop of constant, low-grade mistrust — had become the new normal. This is how the author of the New York Times described the stories of the irate customer behaviour that started showing in the time of pandemic.

Organisations of different scales and forms want to harness the power of data to identify new business opportunities and improve current business operations. Organisations that use data effectively can hold a potential advantage – the ability to make faster and more informed business decisions. However, working with data can be a long-standing problem for businesses and functions, especially in data management and software development.