The latest News and Information on DevOps, CI/CD, Automation and related technologies.
As a long-time security professional, I’m always interested to hear about how companies like Datadog are keeping up with the changing security landscape. I can recall when the security organization was solely responsible for security, and we were focused on protecting the perimeter of our business. However, with the advent of the cloud, mobile, and web applications, that perimeter has disappeared.
“Why does the ‘docker logs’ command fail?“, is one of our frequently asked questions. The answer is simple and mentioned in the Docker documentation: “The docker logs command is not available for drivers other than json-file and journald.”
It’s no secret that Kubernetes is the leader when it comes to container orchestration platforms. Since its 2014 release, the open source project has taken the world by storm and become one of the biggest success stories in the open source community.
Picking the right tools to handle the deployment will depend on your environment. Since there are so many ways to deploy to Azure services, we won't be able to get into the weeds, but I will cover enough so that you can hopefully find the right deployment solution for you.
Amazon Elastic Container Service for Kubernetes (EKS), the latest addition to the AWS platform, is a cloud-based Kubernetes service that provides features for automated cluster management and maintenance. Whether you are migrating an existing Kubernetes cluster or deploying a new application to Amazon EKS, Datadog can help you monitor your container infrastructure and applications in real time.
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easyfor you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.
From scaling too quickly to poor organization, here are just a few of the most common challenges that teams face, as well as techniques DevOps leaders can incorporate to alleviate pain points.
DevOps is a complex, multi-dimensional topic. It is context-sensitive. Those who attempt to learn about and implement DevOps bring their roles and cultural perspectives to the process. Diversity of opinion and expertise can be an important advantage. However, it can also lead to friction and contention in developing DevOps consensus.
