Over the past six weeks, we introduced a series of impactful updates aimed at making your observability workflows faster, more unified, and more collaborative. Here’s a snapshot of what we worked on.

Effective monitoring is important for maintaining robust and reliable systems. While Prometheus has long been a go-to solution for many organizations, the growing complexity of modern infrastructure has led to an increased demand for prometheus alternatives. This comprehensive guide will explore various monitoring tools that can serve as viable prometheus alternatives, helping you make an informed decision for your specific needs.

Data's critical role in business operations has intensified the need for reliable information management. As companies increasingly base their decisions and growth strategies on data-driven insights, maintaining high-quality datasets has become essential. Data observability offers a novel approach, transforming how organizations comprehend and maintain their information assets.

Understanding telemetry signals for better decision-making, improved performance, and enhanced customer experiences Telemetry signals have evolved significantly over the years — if you blinked, you could have missed it. In fact, much of the common wisdom about observability needs a refresh. If your observability solution doesn’t consider the current state of telemetry, you might need an upgrade.

Frontend development has evolved rapidly over the past decade, but one challenge remains constant: understanding what’s happening in real-time across diverse browsers, environments, and user interactions. This is where observability steps in—but how does it apply to the frontend world where user experience can break in countless, unexpected ways?

Observability is crucial for maintaining complex systems’ health and performance. In its traditional form, observability involves monitoring key metrics, logging events, and tracing requests to ensure that applications and infrastructure run smoothly. The emergence of Artificial Intelligence (AI) promises to revolutionize the way organizations approach observability.

Datadog has established itself as one of the leading solutions for monitoring, logging, and analytics. But with the increasing number of alternatives available, many businesses are asking, "Is Datadog worth the price?" This article breaks down Datadog's pricing structure, the value of its features, and compares it to competitive alternatives. By the end, you'll have a clear understanding of whether Datadog is the right fit for your business.

20 years ago, software ate the world. The old ways of monitoring, failing over, or routinely rebooting quickly became inadequate and with a new focus on software excellence, how we monitor and maintain them had to be rethought. Even back then, when new software was released on an annual basis, it was clear that developers and futurists needed to build, inform, and optimize their approach, which required a deeper understanding of the application experience.

Real user monitoring (RUM) began as a straightforward approach to tracking basic web performance metrics. Focused on things like page load times and response rates, RUM relied on server-side logging and simple browser timings. While these tools captured Core Web Vitals (CWVs), they offered limited insights into how users actually interacted with pages, focused mainly on server-side performance.

Chasing false alerts — or worse, having your system go down with no alerts or telemetry to give you a heads-up — is the nightmare we all want to avoid. If you’ve experienced this, you’re not alone. Before joining Splunk, I spent 14 years as an observability practitioner and leader for several Fortune 500 companies and in my 2.5 years with Splunk I have had the opportunity to work with customers of all shapes and sizes.