Operations | Monitoring | ITSM | DevOps | Cloud

There is no doubt about the fact that Docker makes it very easy to deploy multiple applications on a single box. Be it different versions of the same tool, different applications with different version dependencies - Docker has you covered. But then nothing comes free. This flexibility comes with some problems - like high disk usage and large images. With Docker, you have to be careful about writing your Dockerfile efficiently in order to reduce the image size and also improve the build times.

Kubernetes and Docker each play a vital role in modern, microservices-based application development. Since Kubernetes and Docker work in unison to help develop, deploy, and manage large-scale applications – they are not mutually exclusive technologies and they are certainly not in competition with each other. Nevertheless, Kubernetes and Docker are often misunderstood by the non-developer community. To clear up the confusion around Kubernetes vs. Docker, we’ve written this guide.

One of the mistakes organizations make related to Kubernetes costs is addressing them primarily after-the-fact, once the application is running successfully. There are certainly changes that can be made to improve efficiency once the application is running, but cost-control measures are best considered at the beginning, not middle or end, of the application lifecycle.

When organizations think about the relationship between Kubernetes and cloud costs, they often focus on Kubernetes’ auto-scaling capabilities and what this means for optimizing compute resources. Kubernetes does allow organizations to provision compute resources more thinly, because the platform allows them to scale up automatically if there’s a demand spike in the middle of the night.

Kubernetes has become the de-facto industry standard for container orchestration. It provides the required abstraction for efficiently managing large-scale containerized applications with declarative configurations, an easy deployment mechanism, and both scaling and self-healing capabilities.

Azure Kubernetes Service, Microsoft's managed Kubernetes solution, allows you to quickly create a Kubernetes cluster in Microsoft Azure and provides features to help you manage and maintain your Kubernetes cluster in Azure. In this blog post we will go over some of the features of AKS and then walk through creating an AKS cluster.

The old security model, which followed the “trust but verify” method, is broken. That model granted excessive implicit trust that attackers abused, putting the organization at risk from malicious internal actors and allowing unauthorized outsiders wide-reaching access once inside. The new model, Zero Trust networking, presents an approach where the default posture is to deny access.

“Kubernetes vs. Docker” is a phrase that you hear more and more these days as Kubernetes becomes ever more popular as a container orchestration solution. However, “Kubernetes vs. Docker” is also a somewhat misleading phrase. When you break it down, these words don’t mean what many people intend them to mean, because Docker and Kubernetes aren’t direct competitors.

Kubernetes provides the freedom to rapidly build and ship applications while dramatically minimizing deployment and service update cycles. However, the velocity of application deployment requires a new approach that involves integrating tools as early as possible in the deployment pipeline and inspecting the code and configuration against Kubernetes security best practices. Kubernetes has many security knobs that address various aspects required to harden the cluster and applications running inside.