The latest News and Information on DevOps, CI/CD, Automation and related technologies.
I have recently seen quite a few articles and talks covering why organizations are aiming at implementing a developer platform to help speed up the adoption of microservices within their organizations but before we get started on discussing what a developer platform is, the developer experience and productivity on Kubernetes, and how different teams are working through it, let’s define some common ground.
Template variables enable you to use tags to filter your Datadog dashboards to the hosts, containers, or services you need for faster troubleshooting. However, there are some cases where it may be difficult to use a standard set of template variables to aggregate all of the data you need without creating a complicated, difficult to manage set of variables. For example, you may use tag values that are a subset of another tag.
The HAProxy Data Plane API 2.3 expands its service discovery mechanisms and introduces native support for discovering AWS EC2 instances and auto-scaling groups. It also adds a new configuration file that supports HCL and YAML, an Inotify configuration watcher, and Syslog support. HAProxy Data Plane API version 2.3 is now available and you will find it in the 2.3 version of the Alpine Docker image.
Today we announced our Series F round of $100M led by Greenspring Associates, with Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold, Scale, Owl Rock, and Next Equity Partners. Thank you to our customers, community, partners, investors, and team. This latest investment allows us to invest as well; in our product, our community, and in our people. We build for the builders of the digital age: developers.
We are proud to announce that CircleCI has acquired Vamp, the first cloud-native release orchestration platform. This paves the way for CircleCI customers to have first-class release orchestration and continuous validation, all natively within the CircleCI platform.
In today’s data-centric world, metrics or numbers define all performance benchmarks. The time between when an event starts and ends shows how well a system can handle and process such events. One of such metrics is MTTR. MTTR usually stands for Mean Time To Resolution, but it has held several meanings over the years. MTTR is a metric used to measure how well a system can bounce back from errors and provide long-lasting solutions.
