Shortly after deploying a new Kubernetes cluster, one of the first things you will likely want to do is collect some metrics and data about how it operates. There are two projects that are typically used for this, and since they are named similarly it can be confusing to know which one you should use and why. This post hopes to clear up any confusion between the Kubernetes Metrics Server and kube-state-metrics....
The request was fairly simple — iterate through some data and update some dates. Something as simple as this. for entry in db.query(): entry.date = entry.date + timedelta(days=10) entry.put() Unfortunately, the NoSQL database we were using did not support schemas and, unbeknownst to me, some data had been changed in unexpected ways on production. Something as simple as this. Notice the Outlier? My code seemed correct. Unit tests passed. Code review passed....
Metrics-Driven Development is an emerging term developing from the practices of continuous integration, continuous delivery, dev ops, and agile software methodologies. This article serves to define what metrics-driven development is, why it is useful, and how to use it to drive software changes. Let’s start with a definition of metrics-driven development. Metrics-Driven Development (MDD) The use of real-time metrics to drive rapid, precise, and granular software iterations. This definition is simple and straightforward, but does leave room for interpretation....