Many organizations struggle to create data-driven cultures where each employee is empowered to make decisions based on data. This is especially true for enterprises with a variety of systems and tools in use across different teams. If you are a leader, manager, or executive focused on how your team can leverage Google's SRE practices or wider DevOps practices, definitely you are in the right place!

Reliability and chaos might seem like opposite ideas. But, as Netflix learned in 2010, introducing a bit of chaos—and carefully measuring the results of that chaos—can be a great recipe for reliability. Although most software is created in a tightly controlled environment and carefully tested before release, the production environment is harsher and much less controlled.

It can be a big can of worms, but tackling IT downtime can be the first step to major cost savings. Here’s everything you need to know about downtime but were too afraid to ask.

Ben Treynor Sloss, then VP of Engineering at Google, coined the term “Site Reliability Engineering” in 2003. Site Reliability Engineering, or SRE, aims to build and run scalable and highly available systems. The philosophy behind Site Reliability Engineering is that developers should treat errors as opportunities to learn and improve. SRE teams constantly experiment and try new things to enhance their support systems.

Is 99.999% uptime realistic? We cover why you should care, and how you can achieve it.

A system’s reliability is one of the most important things that engineers should care about. They ensure customers are kept happy and keep organizations profitable. Investing in reliable processes and tools to ensure systems are reliable can be critical to company success. Site Reliability platforms are popular choice when it comes to monitoring and observing software services as they help make responding to and solving application problems easier.

Mature start-ups and scale-ups create wonderful and challenging environments for Engineers. As the product they’re creating matures and the brand becomes a successful one, the user base generally starts growing, and, for some companies, in places they might not expect it to grow. As that happens, new challenges arise for Engineers. One of these challenges is pretty straightforward to guess. Basically having a particular product available throughout different regions of the world.

Alert fatigue occurs when people become desensitized to the overwhelming number of alerts they receive and are expected to respond to. Even though these alerts are typically easy to respond to, it is the sheer number of them that ultimately causes people to feel fatigued. The higher the number of alerts, the more likely it is that employees are likely to begin to ignore and potentially miss an important alert leading to bigger consequences.

Improving team health within DevOps is vital for success in any engineering team. In this article, we’ll look at some of the ways that you can improve team health with Reliably so you can keep your developers happier, healthier and free from burnout.