A crucial step to having efficient DevOps consulting is by being completely transparent with data. By making monitoring data available to everyone in the value stream, everyone shares a common view of reality, which aids in communications, and demonstrates transparency which enhances trust.

In our last four blog posts, we have been sharing tips on eliminating DevOps monitoring challenges. In case you’ve missed them, make sure to catch up with our “Eliminating DevOps Monitoring Challenges” series. The next key point is to make sure you’re engaging the right people at the right time. This sounds obvious, but you’d be surprised how often it doesn’t happen.

DevOps automation solves common challenges that revolve around a lack of visibility to the entire environment. A lack of visibility, non-discrete tools, and a lack of hard data to capacity plan or assess success in your dev environment, often leads to using several tools that tend to contradict each other.

In the third installation of our “Eliminating DevOps Monitoring Challenges” blog series, we’ll share with you the importance of monitoring your dev environment in order to improve your DevOps monitoring.

Some of the most common DevOps Monitoring challenges we hear about from customers are things that might be all too familiar to some of you. One of the most common is that teams lack visibility into the whole environment. This is both a symptom and cause of labor-intensive visibility, loosely coupled discrete tools, and a lack of hard data to capacity plan or assesses success.

Growth for an enterprise is an exciting thing, but it often presents a unique challenge for IT professionals. There are common roadblocks that are encountered when trying to upscale an IT management environment. In this first blog of our Managing IT Infrastructure at Scale series, we discuss the benefits of distributed monitoring data for large IT environments.