The latest News and Information on DevOps, CI/CD, Automation and related technologies.
CI/CD is a software development strategy which allows for faster development by introducing automation while still maintaining the quality of code deployed to production. Implementing a CI/CD pipeline not only promotes a safer deployment process but also improves the incident response process. CI/CD is broken down into multiple parts. The CI refers to continuous integration, meanwhile, the CD can refer to continuous delivery and/or continuous deployment.
With only 49 days before this very long year comes to an end, we’re thrilled to announce the 2020 State of DevOps Report is finally here. We’re in our ninth year producing the State of DevOps Report; at this point, more than 35,000 technical professionals from around the world have contributed to this body of research, the longest-running and most widely referenced DevOps research in the industry.
I’m excited to announce the release of Puppet Enterprise 2019.8.3. This release builds on a number of important product enhancements based on customer feedback and delivers on the second phase of our highly requested Value Dashboard.
The 2019.8.2 release of Puppet Enterprise has added a significant improvement to code deployment by enabling Puppet modules to be downloaded in parallel instead of serially. This functionality was added to the upstream r10k project almost a year ago and has now been added to Puppet Enterprise Code Manager.
Puppet Plans were added in the 2019.2 release of Puppet Enterprise and Puppet Enterprise 2019.8.2 extends that functionality by adding support for scheduling Puppet Plans. This enables plans to be run at some point in the future or on a recurring schedule. Plans can be scheduled using the Puppet Enterprise console, Puppet Enterprise command line, or the Puppet Enterprise REST API. In this blog post we’ll walk through how to schedule a Puppet Plan in the Puppet Enterprise console.
One of our most commonly requested integrations, Datadog cloud monitoring, was announced last week on the Datadog blog! Sleuth organizes your deployments into projects, which collect and organize key data from your code sources and their associated staging environments. This data consists of metrics and errors.
