Operations | Monitoring | ITSM | DevOps | Cloud

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.

Relying on their traditional observability 1.0 tool, Pax8 faced hurdles in fostering a culture of ownership and curiosity due to user-based pricing limitations and an impending steep price increase. Pax8’s platform engineering team was keen on modernizing the company’s cloud commerce platform, but they were hitting obstacles with their traditional observability 1.0 tool, which relied on the three pillars of logs, metrics, and traces.

These days, systems and applications evolve at a rapid pace. This makes analyzing the internal performance of applications complex. Observability emerges as a path to efficient and effective operational insights. Imagine a team of doctors monitoring a patient’s vitals—heart rate, temperature, blood pressure. These readings, combined with observation of symptoms, paint a picture of the patient’s health. This allows doctors to diagnose issues and provide care.

Software debugging has undergone many transcendental shifts. These shifts are as fascinating as the transition from the biological origins of the term ‘debugging’ to its computer science incarnation. The moth that caused the first computer bug has led to a metamorphosis of the debugging scope to cover a much broader role in software development over the years. Live debugging is the latest manifestation of this evolution.

When Google Cloud welcomed StackState to offer our full-stack observability solution to their network of customers, we were thrilled. Our excitement only grew when Google invited us to join other partners this week at Google Cloud Next ’24 at the Mandalay Bay Convention Center in Las Vegas.

Selector has received the 2024 Data Breakthrough Award for Data Observability Innovation of the Year in the Data Management category! This accomplishment marks the second year Selector has received a Data Breakthrough Award, winning Best AIOps Platform in 2023. In this post, learn more about this award and how it reflects our unique approach to data observability.