The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Kelverion have put together this Azure Automation Best Practices Guide to support the creation of automation process in Azure Automation. Our consultants work with Azure Automation every day and have substantial experience with Azure Automation and IT automation built using other tools. It’s important to recognize that these are recommendations rather than hard and fast rules.
A while ago, we asked our customers to write reviews about their experiences working with us. With an average rating of 4.6 out of 5 and ten reviews submitted and published within two weeks, we were humbled by the responses. As our CEO, Toffer Winslow wrote, “Perhaps the thing I was most proud of…was just how frequently our customers commented on the high quality of StackState employees they interact with and the caliber of service we deliver.”
Hyperconverged infrastructure (HCI) is a data center architecture that uses software to provide a scalable, efficient, cost-effective way to deploy and manage resources. HCI virtualizes and combines storage, computing, and networking into a single system that can be easily scaled up or down as required.
Self-hosted runners allow you to host your own scalable execution environments in your private cloud or on-premises, giving you more flexibility to customize and control your CI/CD infrastructure. Teams with unique security or compute requirements can set up and start using self-hosted runners in under five minutes.
With the latest releases of Kubewarden v1.1.0 and the verify-image-signatures policy, it’s now possible to use GithubActions or KeylessPrefix for verifying images. Read our previous blog post if you want to learn more about how to verify container images with Sigstore using Kubewarden.
An incident has been declared and your runbook has fired. Everyone is gathered in your Slack channel, the tickets are opened, and roles are assigned. Now what? This is when most teams manually update status pages and kickoff investigation streams using a patchwork of tribal knowledge and supporting playbook documents.
Today’s data centers generate a lot of data. Intelligent rack PDUs and other metered power infrastructure, environmental sensors, and the constant change in modern data centers all contribute towards a massive volume and variety of data. But data center professionals don’t have the time to collect all the data from its sources, analyze it, and derive insights from it that improve their data center operations.