Today, almost every other business is using cloud-native technologies and practices to grow business and increase revenue. No doubt, the modern cloud computing approach offers several opportunities for businesses to grow but it is also creating a new set of challenges. As per a report, SaaS companies spend almost 19% of their total revenue on IT. If not handled these challenges properly, it will erode the anticipated advantages. In fact, many businesses are under high pressure to reduce their IT costs.

In today's cloud-centric landscape, managing and optimizing cloud resources efficiently is paramount for cloud engineers striving to balance performance and cost-effectiveness. By leveraging solutions like Tines and Elastic, cloud engineering teams can streamline operations and drive significant cost savings while maintaining optimal performance.

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.

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.

Oh, I didn't see you there. Hi, I'm Kevin, a developer here at Honeybadger. I've worked for the last year or so developing Honeybadger Insights, our new logging and observability platform. Let's peek into some of the design decisions and philosophy behind the product. In modern software development, the hunt for observable systems has traditionally revolved around the holy trinity of logs, metrics, and traces.