The latest News and Information on Containers, Kubernetes, Docker and related technologies.
This is the first post of a 2 part series where we will set up production-grade Kubernetes logging for applications deployed in the cluster and the cluster itself. We will be using Elasticsearch as the logging backend for this. The Elasticsearch setup will be extremely scalable and fault-tolerant.
In this tutorial, we will learn about configuring Filebeat to run as a DaemonSet in our Kubernetes cluster in order to ship logs to the Elasticsearch backend. We are using Filebeat instead of FluentD or FluentBit because it is an extremely lightweight utility and has a first-class support for Kubernetes. It is best for production-level setups. This blog post is the second in a two-part series. The first post runs through the deployment architecture for the nodes and deploying Kibana and ES-HQ.
We kicked off the start of the Day 2 with our host Nigel Poulton as he prepared us with a quick rundown of the highlights from the first day before giving attendees a taste of what to expect from the rest of the event. After this point, Nigel brought Kelsey Hightower to the stage for his keynote session with Mark Boost and Dinesh Majrekar. If you missed our Day 1 recap, check it out here.
General Dynamics Information Technology (GDIT) is among the major systems integrators that have chosen D2iQ to create Kubernetes solutions for their U.S. military customers. I spoke with Todd Bracken, GDIT DevSecOps Capability Lead for Defense, about the reasons GDIT chose D2iQ and the types of solutions his group was creating for U.S. military modernization programs using the D2iQ Kubernetes Platform (DKP).
RabbitMQ is a messaging broker that helps different parts of a software application communicate with each other. Think of it as a middleman that takes care of sending and receiving messages so that everything runs smoothly. Since its release in 2007, it's gained a lot of traction for being reliable and easy to scale. It's a solid choice if you're dealing with complex systems and want to make sure data gets where it needs to go.
In our previous article about Database migrations we explained why you should treat your databases with the same respect as your application source code. Database migrations should be fully automated and handled in a similar manner to applications (including history, rollbacks, traceability etc).
As Kubernetes adoption surges across the industry, AWS EKS stands out as a robust solution that eases the journey from initial setup to efficient scaling. This fully managed Kubernetes service is revolutionizing how businesses handle containerized applications, offering agility, scalability, and resilience.
Autoscaling the resources and services in your Kubernetes cluster is essential if your system is going to meet variable workloads. You can’t rely on manual scaling to help the cluster handle unexpected load changes. While cluster autoscaling certainly allows for faster and more efficient deployment, the practice also reduces resource waste and helps decrease overall costs.
