Operations | Monitoring | ITSM | DevOps | Cloud

The DevOps and Platform Engineering space certainly is one that evolves fast. As new development paradigms get consumed, supporting the development pipeline is crucial. Pushing a public release of v0.2.x on March 30th, 2022, Dagger, from the creators of Docker, is another approach in portability and consistency in CI/CD pipelines. What the Docker Container has done applications, Dagger is hoping to achieve that with CI/CD pipelines.

Having multiple environments that can be dynamically configured has become akin to modern software development. This is especially true in an enterprise context where the software release cycles typically consist of separate compute environments like dev, stage and production. These environments are usually distinguished by data that drives the specific behavior of the application.

Have you ever experienced user complaints and struggled to find the root cause of the performance degradation? I'm sure every IT operations professional has. Is it the application? Is it the underlying infrastructure? Is it the network? What if you have a single pane of glass that will gather all the relevant metrics and telemetry and display it in an intuitive and easy to understand fashion?

ServiceNow Founder Fred Luddy once said, “If you have happy customers, the whole world takes care of itself.” It’s a sentiment ServiceNow believes to this very day, and it’s why we introduced ServiceNow Impact™—an industry-leading value acceleration solution that reimagines the customer experience.

In previous blog posts, my colleagues and I have introduced and explored the Calico eBPF data plane in detail, including learning how to validate that it is configured and running correctly. If you have the time, those are still a great read; you could dive in with the Calico eBPF Data Plane Deep-Dive.

Distributed tracing is a household term nowadays – if your house is an IT department! Modern enterprises use cloud-native applications for agility and responsiveness to customer needs. When monitoring cloud-native applications, distributed tracing follows how transactions perform while traversing services or containers in the backend architecture. By definition, we’re describing production applications with requests, methods, database calls and logs that accompany a transaction.