Operations | Monitoring | ITSM | DevOps | Cloud

It is no surprise that monitoring workloads are top of mind for many organizations to ensure a successful customer experience. As our applications become more distributed and cloud-native, we find that monitoring can become more complex. A single user transaction fans out to interact with tens or hundreds of microservices, each one requesting data from backend data stores or otherwise interacting with each other and other parts of your infrastructure.

The pandemic has accelerated the digital imperative across all industries. At ServiceNow, our purpose is to make the world of work, work better for people. That purpose has never been clearer as we help our customers solve some of the most pressing challenges of the 21st century—from talent shortages to continuing global vaccination efforts—and everything in between.

On September 4, 2021 a major submarine cable broke down in Vietnam causing network connectivity issues for a large portion of the population. Organizations hosted online and those with data centers outside those perimeters were hit the worst with most of their applications down or running extremely slow.

Today, it’s difficult to compile a list of all the managed infrastructure you have across your global estate. It’s even more difficult to collect all of the properties and values that make up that infrastructure, such as operating systems, enterprise licenses, networks, disks, mount points, data centers, regions, patch states, hypervisors, and so much more. Nevertheless, it’s ever more critical to have this information at your fingertips.

Monitoring, troubleshooting, and debugging your code all require logging. It not only makes the underlying execution of your project more visible and understandable, but it also makes the approach more approachable. Intelligent logging procedures can assist everyone in a company or community to stay on the same page about the project's status and progress.

At Grafana Labs, we have a “big tent” philosophy: We believe our users should be able to determine their own observability strategy and choose their own tools, so we help users bring different data sources together. Datadog is a powerful product used by many teams, and we hear a lot from customers about how we should further embrace and support this critical data source — which is why we created the Datadog data source plugin a few years ago.

If your application runs in a virtualized environment, there is a crucial metric you might not be aware of: CPU steal. In this post, we’ll explain what CPU steal is, how to monitor it, and what happens to your app when CPU steal is high.