Operations | Monitoring | ITSM | DevOps | Cloud

A data center typically employs between 30-200 people depending on the size and the intended project use. But only a fraction of those folks run the IT side. Besides swapping gear—the infamous “remote hands”—there isn’t much to do as long as there aren’t any outages, and rumor has it a data center is a nice place to sleep—it’s dark, cool, and the deep humming noise can have a pacifying impact on some.

Early this year, we set out on a journey to onboard a new cloud engineering team at JFrog. Many can relate to the challenges involved with onboarding a new team, these were amplified even more during the pandemic. However this blog post is not about COVID-19, it is about sharing our experience of fine-tuning the onboarding path for this unbeatable group. TL/DR: What it takes to build and onboard a team of junior engineers into the existing JFrog Cloud engineering team.

We recently started using GitHub Security Advisories as part of our workflow for pushing out security releases. This post will give a brief introduction on how they work, how we use them, some of their limitations, and how we overcome them. We are still experimenting with this workflow, but the information could still be helpful for some while others might have suggestions how we could do things better.

Today, the Kubernetes community made the 1.22 release candidate available, a few weeks ahead of general availability, planned for August the 4th. We invite developers, platform engineers and cloud tech enthusiasts to experiment with the new features, report back findings and bugs. MicroK8s is the easiest way to get up and running with the latest version of K8s for testing and experimentation.

Data center managers are increasingly looking for ways to automate tasks to save time and improve data accuracy. In our recent Automation Workshop webinar, data center experts from eBay, MacStadium, and the University of Chicago shared their real-world use cases and insights on how they use APIs and integration to drive automation in their data centers.

As a version control system, Git is delivered within Unix style command line methods, and these commands ultimately create the backbone of Git’s software. MacOS & Linux Operating Systems have a built-in terminal shell that supports Unix-based command line features whereas Microsoft Windows Operating System command line prompt is not a Unix-based terminal.

There’s an insidious disease increasingly afflicting DevOps teams. It begins innocuously. A team member suggests adding a new logging tool. The senior dev decides to upgrade the tooling. Then it bites. You’re spending more time navigating between windows than writing code. You’re scared to make an upgrade because it might break the toolchain. The disease is tool sprawl.