The latest News and Information on Containers, Kubernetes, Docker and related technologies.
In this previous article we learned to create our own Docker images to test and distribute our applications regardless of their dependencies. As we know, Docker is a wonderful tool for collaborative programming work, allowing to work in a virtually identical environment regardless of the operating system you are in.
There’s no one-size-fits-all migration path for moving legacy applications to the cloud. These applications typically reside on either physical servers, virtual machines or on premises. While the goal is generally to rearchitect or redesign an application to leverage cloud-native services, it’s not always the answer.
In a previous article, we examined service meshes in detail. Briefly, a service mesh takes care of network functionality for the applications running on your platform. As Kubernetes has matured as a technology, service meshes have become a hot topic, with various products being developed to solve the challenges associated with areas like traffic management, security, and observability. This article will compare three service meshes.
Datadog operates large-scale Kubernetes clusters in production across multiple clouds. Along the way, audit logs have been extremely helpful for tracking user interactions with the API server, debugging issues, and getting clarity into our workloads. In this post, we’ll show you how to leverage the power of Kubernetes audit logs to get deep insight into your clusters.
Kubernetes events are a resource type in Kubernetes that are automatically created when other resources have state changes, errors, or other messages that should be broadcast to the system. While there is not a lot of documentation available for events, they are an invaluable resource when debugging issues in your Kubernetes cluster. In this post we will learn how to look at events, learn about a few specific event types, and discuss how to monitor Kubernetes events.
