What differentiates tech companies that weather digital storms with unwavering resilience? In many cases, the answer lies in a deeply ingrained SRE culture, which fosters proactive approaches to system reliability. Site Reliability Engineering (SRE) culture extends beyond mere tech tools and automated scripts. It emphasizes proactive care, shared responsibility, and continuous improvement, leveraging incident management software as a vital component in fostering these core values of SRE.

Fulfill all your food delivery orders this December 31st by taming High Cardinality data 😉

Before I stumbled into the tech industry (a story for another day), I spent several years in the customer service world as a server and front-of-house manager in restaurants. It was in these jobs that I first honed some critical skills that would later lead me on the path to incident response.

A deep dive on different metric types in Prometheus and best practices.

Incidents and bugs are two common occurrences that can disrupt the smooth operation of systems and applications. While these terms may seem similar, they represent distinct concepts with different implications. Understanding the nuances between incidents and bugs is crucial for effective incident management and proactive problem resolution.

In the quest for a high-velocity development environment, one fundamental question looms large: "How can you ensure an exceptional end-user experience when an array of engineers continually push and deploy code?" The unequivocal answer to this pivotal inquiry lies in the establishment of robust, straightforward, and well-defined monitoring practices.

Complete guide to monitor Cloudflare workers using Prometheus Exporter.

Site Reliability Engineers (SREs) use automation and orchestration capabilities to scale security and performance, ensuring sites are reliable and efficient. Site Reliability Engineering (SRE) can be applied to a wide range of use cases and industries, where software systems and services are critical to business operations.

With the increasing complexity of technology stacks and monitoring tools, managing incidents can become overwhelming, leading to alert noise, alert fatigue, and delayed responses. This is where Key-Based Deduplication comes to the rescue, streamlining incident handling and enhancing the effectiveness of your Incident Management platform.

What is a Time Series Data Warehouse? How does it help in your monitoring journey? How does it differ from a Time Series Database? That and more.