The latest News and Information on DevOps, CI/CD, Automation and related technologies.
In Part 1 of this series, we introduced you to the key metrics you should be monitoring to ensure that you get optimal performance from CoreDNS running in your Kubernetes clusters. In Part 2, we showed you some tools you can use to monitor CoreDNS. In this post, we’ll show you how you can use Datadog to monitor metrics, logs, and traces from CoreDNS alongside telemetry from the rest of your cluster, including the infrastructure it runs on.
In Part 1 of this series, we looked at key metrics you should monitor to understand the performance of your CoreDNS servers. In this post, we’ll show you how to collect and visualize these metrics. We’ll also explore how CoreDNS logging works and show you how to collect CoreDNS logs to get even deeper visibility into your Deployment.
Recently in our Better Incidents Slack channel, there’s been some chatter around how people structure dedicated incident commanders at their company: distributed or centralized. The way I see it, there are two types of commanders: the temporary, distributed role — a hat that an on-call engineer or an engineering manager puts on during an incident. Then there’s the centralized, full-time role, where someone is the designated incident commander (or one of a few) for all incidents.
Docker: it’s one of those technologies that seems to be everywhere. Whether you’re a junior developer just starting out or a seasoned.NET developer, at some point in your career, you’ll most likely come across Docker for.NET. So, what is Docker?
Have you ever needed to provide proof that a critical business process actually took place? It’s a painful process involving all kinds of paperwork, but it’s the reality for many organizations working in highly regulated industries. For these companies, records need to be kept for actions like the provisioning of user accounts and access to sensitive records. It’s necessary, but it’s manual and time-consuming work.
