FireHydrant uses a CLI for some developer actions, called fhd (FireHydrant developers). Previously, we might have distributed workflows among new developers by having them copy/paste or clone scripts down to their machines--but Crystal lets us encapsulate shared tooling in a compiled binary. This way, we have a CLI that developers can install quickly, and that works seamlessly with our other tools.
Software development by distributed teams is nothing new. But since 2020, it’s no longer just teams that are globally dispersed, it is the individual team members themselves. Remote working is the new normal. So in this unpredictable, “modern” world we’re in, how do you put together a solution that delivers for every single team member, no matter their location?
Following the Open Operator Collection announcement from November, Canonical is today proud to announce the availability of Juju Operator Lifecycle Manager (OLM) 2.9. This new release of Juju brings new capabilities for Kubernetes operators as well as smooth integration with the Open Operator Collection.
Did you know that the VMware Tanzu Observability by Wavefront engineering team not only listens to input from customers, but acts on that input to improve the overall Tanzu Observability experience? In fact, as a direct result of customer surveys, the Wavefront engineering team recently completed 30 days of improvement focused on query quality. I will quickly run through those improvements in this post.
During the next seven weeks, our team will work to improve the overall experience of Qovery. We gathered all your feedback (thank you to our wonderful community 🙏), and we decided to make significant changes to make Qovery a better place to deploy and manage your apps. This series will reveal all the changes and features you will get in the next major release of Qovery. Let's go!
Argo Rollouts is a progressive delivery controller created for Kubernetes. It allows you to deploy your application with minimal/zero downtime by adopting a gradual way of deploying instead of taking an “all at once” approach.
A floor of commotion bustling with people holding phones and shouting out purchase and sell orders, some using hand signals to communicate over the noise. This was a common scene on Wall Street in the 1980s. Nowadays, transactions happen at the push of a button with traders sitting directly in front of a computer. In fact, the computer has made it possible to automate the buying and selling of securities, leading to an era of high-frequency, algorithmic trading.
March 1, 2020, was a Sunday. I was getting ready for a work trip to San Francisco. Just before heading to the Berlin airport, I checked my phone. There was a text from my boss: Hey Lena, trying all channels. Don’t fly. I didn’t fly that day and I haven’t flown since. Two days later, as planned, I went from interim to permanent VP of Product Engineering at CircleCI. At the same time, Europe was going into lockdown, then the world went into lockdown.
Modern applications are interdependent on different devices and servers. If you are not familiar with your software structure, you will encounter problems when you make changes within your application. To prevent this, you need to observe application discovery and dependency mapping (ADDM).
The key to maximizing revenues and ensuring foolproof security is to actively monitor infrastructure. With virtualization growing increasingly, virtual machine or VM performance monitoring is one of the most crucial parts of infrastructure monitoring. This is because as opposed to a physical server or machine, detecting problems in a VM can be even more challenging.
