Operations | Monitoring | ITSM | DevOps | Cloud

Now that development teams know about CI/CD, there is no reason for deployments to become a time-consuming and cumbersome process. CI/CD may start with continuous testing, but adding automated deployments takes your CI/CD practice to the next level. Continuous deployment slashes the time it takes to release so you can spend more time improving the quality of your applications.

Hey Civo users, at Gimlet, we think that best practices in the Kubernetes ecosystem have solidified so much, that they can be packaged into tools, so that you don't have to make nuanced decisions every corner. This is what we have been doing with our CLI tools, and nowdays doing with the Gimlet Dashboard! We have been following Civo for over a year now and see how much the Gimlet team shares the Civo community's spirit.

For DevOps teams, delivering quality software has long required reconciling a major tension: In a perfect world, you’d catch every issue in each new release of your application before you deployed the release into production. But in the real world, doing so is tricky, not least because it’s hard to collect data about application performance before the application is actually deployed.

By now, most of us know that migrating workloads to the cloud isn’t like simply moving software from one server to another—especially in a complex enterprise infrastructure with many interdependent services and components. There are a lot of things that can go wrong: technical public cloud provisioning issues, security and compliance challenges, lack of cloud skills, wrong public cloud service provider (CSP) selection, unexpected costs, and more.