Operations | Monitoring | ITSM | DevOps | Cloud

Bad news: Configuration drift is going to happen no matter what you do. It’s very easy to miss, caused by some innocuous mistake or patch and buried in paper trails that don’t exist. By the time you’ve found which configurations have drifted, it usually means something’s already going wrong. But here’s the good news: You and your precious configurations don’t have to take it lying down.

Datadog is one of the most known tools for monitoring. It’s widely popular for its single pane of glass solution. However, many people have complaints about Datadog. One example of an issue many people have with using Datadog is the number of errors people find when getting started.

It’s safe to assume that planning ahead is everything to business leaders right now, as the start of 2024 is right around the corner. It’s a strategy-backed priority to get proactive and ahead of challenges that might be ahead of us. As IT’s role in driving business success continues to expand, putting automation to work inside of IT departments and functions today better positions organizations to reach goals and overcome future obstacles.

The tech landscape is a whirlwind of continuous evolution, making the role of a DevOps engineer more crucial than ever. A "pragmatic" DevOps engineer stands out as a beacon of efficiency and practicality in this dynamic environment.

In the last decade-plus, the cloud has undergone a torrid evolution. Born in 2006, the cloud didn’t face the same speed limits on evolution that we mortals do. Within years, the cloud had gone from competitive edge to competitive necessity; within a decade, specialized services like Kubernetes, Snowflake, and Datadog had emerged to help us use it more, more flexibly, and with a more data-driven strategy. As the cloud evolved at an exponential rate, so did the costs associated with using it.