Data storage has come a long way. It’s impossible to imagine having to search racks of tape reels for specific datasets, and the same is happening for archival storage. This type of storage is very low cost, but the tradeoff is the data isn’t readily available, often requiring 24 hours or more to convert, thaw, and be in a usable format. But what if you could have your cake and eat it, too? Low-cost archival storage AND instant access to your data?

Not so long ago in my career, I remember when it was relatively acceptable for infrastructure or development teams to solve a problem by rebooting a server or just “turning things off and on again.” It didn’t matter what caused the problem or how long the reboot would fix things, provided they were fixed for now. Security teams were always held to a different standard.

It may sound complicated and daunting, but so much of observability is about discovering the unknown unknowns in your critical systems. The capabilities of observability engineering can help you make those discoveries. Most organizations have some form of monitoring, alerting and troubleshooting, which can be adequate to a point but fall short when trying to determine the root cause of unexpected outages.

The systems and data that healthcare providers utilize and process are fundamental to its successful operation. Therefore these organizations must invest in appropriate and powerful observability solutions that enable them to effectively monitor their systems and valuable data. These tools and solutions allow healthcare providers to securely manage, deliver, and ensure uptime for their entire IT infrastructure.

For effective centralized logging, OpenSearch is a perfect solution as OpenSearch offers powerful querying and analysis capabilities, and it’s highly scalable and flexible. In this article, we will outline why you should use OpenSearch for centralized logging, before outlining how to easily configure centralized logging in OpenSearch.

Would that make a difference? Of course it would!

Application performance monitoring (APM) setup and strategies vary based on the application’s infrastructure design. Containers managed by orchestration tools like Docker Swarm or Kubernetes are dynamic and ephemeral, significantly affecting monitoring strategies. Container development speeds up an organization’s ability to build, deploy and scale new features.

In today’s interconnected digital landscape, staying on top of market trends is essential for businesses aiming to thrive in the evolving world of observability and security. Recently, Cribl hosted a webinar to shed light on 2024 industry trends, and opportunities and challenges for both end users and vendors.. One of the notable highlights of the webinar is the convergence of observability and security, reflecting the shared data challenges faced by both IT and security teams.

In today’s environments, the number of endpoints seems to be endless. Simultaneously, with more advanced bad actors and increasingly complex systems, it is more important than ever that no endpoint goes unmonitored. However, many solutions simply can’t keep up with this growing scale of data collection at the edge.

Part two of a series on platform engineering myths, covering how it’s built, what it does, and what it doesn’t do.