For SaaS platforms, utilizing observability is crucial, as it’s vital for these companies to deeply understand their users' experience and the root cause of any issues. Observability involves leveraging the appropriate tools and processes in place to effectively track, examine, and troubleshoot the performance and behavior of a system, even if you can't directly see what's happening inside it.

Clouds, be they private or public, surprisingly remain one of the most DIY-favouring markets. Perhaps due to the nebulous and increasingly powerful technologies, a series of myths, or even unnecessary egos, the majority of non-tech-centric enterprises (meaning, companies whose primary business scope rests outside the realm of IT software and hardware) still try to build and nurture in-house cloud management teams, without considering outsourcing even part of their workload.

A recent Kubernetes Adoption Report showed that 68% of surveyed IT professionals adopted containers more during the pandemic. Among their goals were accelerating deployment cycles, increasing automation, reducing IT costs, and developing and testing artificial intelligence (AI) applications. But, what role does container technology play in this? This guide shares what containers are, how container orchestration works, and more.

Network monitoring tools have a lot of moving parts. Those parts end up getting stored in a wide range of locations, formats, and even the ways various capabilities are conceptualized. With that in mind, we’re going to list out the information you should gather, the format(s) you should try to get it into, and why.

As we’ve already shared, Elastic is committed to helping OpenTelemetry (OTel) succeed, which means, in some cases, building distributions of language SDKs. Elastic is strategically standardizing on OTel for observability and security data collection. Additionally, Elastic is committed to working with the OTel community to become the best data collection infrastructure for the observability ecosystem.

You're probably familiar with the concept of real user monitoring (RUM) and how it's used to monitor websites or mobile applications. If not, here's the short version: RUM requires telemetry data, which is generated by an SDK that you import into your web or mobile application. These SDKs then hook into the JS runtime, the browser itself, or various system APIs in order to measure performance.

Effective communication lies at the heart of successful teamwork, and SIGNL4 emerges as a powerful tool crafted to elevate collaboration within teams. In this blog post, we will explore five of the often small but all the more intuitive features that distinguish SIGNL4, positioning it as the preferred solution for teams aiming to enhance productivity and streamline communication.

In the age of digital transformation, where technology reigns supreme and automation is the buzzword of the day, it’s easy for organizations to prioritize the latest tools and platforms while overlooking the essential role that people play in the success of automation initiatives. While technology undoubtedly drives efficiency and innovation, it’s the human element that can truly unlock the full potential of automation.

At first, the differences between common configuration management tools might seem marginal. But choosing the right solution for automated configuration management can make a huge difference. Some tools will have features that align with your organization’s goals, while others won’t. The choice between Puppet vs. SaltStack is one such decision, and it’s a little more nuanced than you might think.

In the previous articles, we covered Devicetree in great detail: We’ve seen how we can create our own nodes, we’ve seen the supported property types, we know what bindings are, and we’ve seen how to access the Devicetree using Zephyr’s devicetree.h API. In this fifth article of the Practical Zephyr series, we’ll look at how Devicetree is used in practice by dissecting the Blinky application.