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The latest News and Information on Containers, Kubernetes, Docker and related technologies.

Why You Should Choose Argo CD for GitOps

Many organizations that have already implemented a DevOps culture are looking to further accelerate their development process by adopting GitOps practices in their environments. There is a lot to take into consideration when planning out your GitOps strategy, and you can read more about it at this Codefresh learning center about adopting GitOps.

Comparing Hyperconverged Infrastructure Solutions: Harvester and OpenStack

The effectiveness of good resource management in a secure and agile way is a challenge today. There are several solutions like Openstack and Harvester, which handles your hardware infrastructure as on-premise cloud infrastructure. This allows the management of storage, compute, and networking resources to be more flexible than deploying applications on single hardware only. Both OpenStack and Harvester have their own use cases.

The updated Docker integration in Grafana Cloud now supports logs and metrics

More than 17 million developers use Docker to build, ship, and run applications separate from their infrastructure in order to deliver software faster and more efficiently. With the rising popularity of containerized applications, however, it has become increasingly more complex and difficult to observe and monitor applications running across multiple containers.

Cycle Podcast | EP 15 | Darren Shepherd | The State of Running Containers in the Wild

In this episode, Jake Warner chats with Darren Shepherd, co-founder of Rancher Labs, and more recently, Acorn.io. Together, Darren and Jake, discuss the current ecosystem around container orchestration and dive into some of the flaws that exist with how applications are packaged and deployed today. Darren has spent his career writing orchestration systems, first in the IaaS space and then Docker and Kubernetes. He is best known for co-founding Rancher Labs and creating such projects as Rancher, Longhorn, k3s, and many others.

Testing the mettle: All you need to know about evaluating data solutions for large-scale applications

Imagine your organization encounters a project where you have to switch storage vendors... What would you do? To begin with, you will need to evaluate and test the performance of the storage providers on your servers. At Civo, we faced a similar project, allowing us to test several storage providers on our bare metal servers. In this article, we will discuss what you should look for while migrating to a different provider and the ways you can test these providers.

Autoscale your Kubernetes workloads with any Datadog metric

Editor’s note: This post was updated on August 9, 2022, to include a demonstration of how to enable highly available support for HPA. It was also updated on November 12, 2020, to include a demonstration of how to autoscale Kubernetes workloads based on custom Datadog queries using the new DatadogMetric CRD.

Sponsored Post

Datadog & Speedscale: Improve Kubernetes App Performance

By combining traffic replay capabilities from Speedscale with observability from Datadog, SRE Teams can deploy with confidence. It makes sense to centralize your monitoring data into as few silos as possible. With this integration, Speedscale will push the results of various traffic replay conditions into Datadog so it can be combined with the other observability data. Being able to preview application performance by simulating production conditions allows better release decisions. Moreover, a baseline to compare production metrics can provide even earlier signals on degradation and scale problems. Speedscale joined the Datadog Marketplace so customers can shift-left the discovery of performance issues.