In today’s digital world, every transaction is logged to give businesses endless amounts of functional data, and there is near-universal agreement that data insights will be integral to the success of businesses in the future. There is undoubtedly a need for a more data literate workforce.

This post is the second in our Kubernetes observability tutorial series, where we explore how you can monitor all aspects of your applications running in Kubernetes, including: We’ll cover using Elastic Observability to ingest and analyze container metrics in Kibana using the Metrics app and out-of-the-box dashboards.

This was originally posted on The New Stack. Once upon a time, log management was relatively straightforward. The volume, types, and structures of logs were simple and manageable. However, over the past few years, all of this simplicity has gone out the window. Thanks to the shift toward cloud native technologies—such as loosely coupled services, microservices architectures, and technologies like containers and Kubernetes—the log management strategies of the past no longer suffice.

In a post-pandemic world, we must use data in new ways. This in turn will require new discussions about, and practices creating, trust and transparency. The necessity of data and its benefits will be weighed against legitimate concerns of misuse of data.

As healthcare and life sciences organizations move to digitize their operations and automate their workflows, they are encountering new challenges related to HIPAA regulations, which dictate how patient information should be collected and stored.

It’s a mystery why the film community felt an iconic movie like “Grease” needed a reprise. But alas, “Grease 2” hit the big screen and ushered in new teen angst themes around bowling and the talent show.