Now that we understand what machine data is available to us, how do we get to this data? The good news is that Kubernetes makes most of this data readily available, you just need the right tool to gather and view it. The solution we will discuss here heavily utilizes open source tools for collection and data enrichment because of their deep integrations and overwhelming community support.
The software development life cycle (SDLC) started to become a formalized process for software development in the 1960s. That’s pretty much when software systems started to exist. With its loosely defined development phases, the SDLC has become a software development term that gets a lot of people talking. The SDLC, however, is more of an acronym packed with meaning than a specification or framework for software development.
As a typical Internet user, nothing is more frustrating than waiting for a web page to display, only to receive a “Page Not Found” 404 error status code. Sure, we try reloading the page, and sometimes that gets the gremlins to start working, but most times, the issue is out of our hands. For all of us typical users, we either go onto the next thing or find a different site. There’s a lot going on in the background that most of us are completely unaware of.
Due to a number of vulnerabilities found in the version of Apache we bundle with CFEngine Hub, we have upgraded the CFEngine Hub packages to use an updated version of Apache. We upgrade from Apache 2.4.39 to Apache 2.4.41. We are now releasing a new version, CFEngine Hub 3.12.2-5. Only new Hub packages are being released, as no other packages are affected by these vulnerabilities.
One of the best practices for running Prometheus in production environments is to use a highly available setup, in which multiple Prometheus instances all scrape the same targets. This means multiple instances have all your metrics data, so if one fails, the data is still available on another. Ideally, each instance would run on a separate machine.
We’ve all experienced it – executives with unrealistic expectations who vastly underestimate the amount of time our work can take. Most of us assume that to be the exception and not the norm. But when it comes to monitoring and troubleshooting, that seems to be the all too commonplace.
