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Anyone can run Kubernetes containers for office applications. But what if the office in question is an F-16 fighter jet? As part of its work on the Defense Department's Enterprise DevSecOps Initiative, the Air Force is increasingly deploying solutions like Kubernetes, the open-source platform for managing containerized workloads and services, to deliver advanced capabilities to warfighters. The Air Force's SoniKube software factory is one of the DOD enterprise development shops dedicated to delivering software tools and automated services so that programs can build and deploy secure, flexible and interoperable applications. SoniKube was challenged by Nicolas Chaillan, chief software officer for the Air Force and co-lead for the DOD Enterprise DevSecOps Initiative, to install Kubernetes on the legacy hardware in F-16s. “One point for the team was to demonstrate that it could be done,” Chaillan said in his keynote presentation at KubeCon 2019 in San Diego. In just ...

In the technology domain, virtualization implies the creation of a software-defined or “virtual” form of a physical resource e.g. compute, network or storage. Users of the virtual resource should see no significant differences from users of the actual physical resource. Virtualized resources are typically subject to restrictions on how the underlying physical resource is shared. The most commonly used form of virtualization is server virtualization, where the physical server is divided into multiple virtual servers. Server virtualization is implemented by a software layer called a virtual machine manager (VMM) or hypervisor.   There are two types of hypervisors: Type 1 Hypervisor: a hypervisor that runs directly on a physical server and coordinates the sharing of resources for the server. Each virtual machine (VM) will have its own OS. Type 2 Hypervisor: a hypervisor that runs on an operating system (the Host OS) and coordinates the sharing of resources of the server. Each...

EKS is a platform to run production-grade workloads. This means that security and reliability are our first priority. After that we focus on doing the heavy lifting for you in the control plane, including life cycle-related things like version upgrades. EKS provides a native and upstream Kubernetes experience. This means, with EKS you get vanilla, un-forked Kubernetes. Of course, in keeping with our first tenet, we ensure the Kubernetes versions we run have security-related patches, even for older, supported versions as quickly as possible. However, in terms of portability there’s no special sauce and no lock in. If you want to use additional AWS services, the integrations are as seamless as possible. The EKS team in AWS actively contributes to the upstream Kubernetes project, both on the technical level as well as community, from communicating good practices to participation in SIGs and working groups. The first two tenets are highlighted and that is for a good reason: on t...

Safer Schools, Smart Cities and Connected Roadways – state and Local governments are using technology to create these real-world outcomes.   In the Federal Government, technology is used to improve citizen services, and allow soldiers, sailors and airmen to do their jobs safely and securely, anywhere in the world, at any time.   Across Public Sector, organizations and agencies are leveraging the power of the cloud to make these things reality.     Whether it’s moving applications to the cloud, creating new applications in the cloud, or leveraging new technologies like kubernetes in hybrid environments, the cloud offers the promise of innovation to Public Sector organizations. One frequently overlooked aspect of successful application performance when using the cloud is ensuring that networks are cloud ready.   Successful application performance in the cloud requires a network that is architected for cloud application traffic patterns; which includes no...

Kubernetes runtimes are high-level container runtimes that support the Container Runtime Interface (CRI). CRI was introduced in Kubernetes 1.5 and acts as a bridge between the kubelet and the container runtime. High-level container runtimes that want to integrate with Kubernetes are expected to implement CRI. The runtime is expected to handle the management of images and to support Kubernetes pods, as well as manage the individual containers so a Kubernetes runtime must be a high-level runtime per our definition in part 3. Low level runtimes just don't have the necessary features. Since part 3 explains all about high-level container runtimes, I'm going to focus on CRI and introduce a few of the runtimes that support CRI in this post. In order to understand more about CRI it's worth taking a look at the overall Kubernetes architecture. The kubelet is an agent that sits on each worker node in the Kubernetes cluster. The kubelet is responsible for managing the container w...

When I was starting to learn Kubernetes, I got overwhelmed with all of the elements it introduces. On the one hand, the more I was diving into it, the more new aspects I had to familiarize with. After a while though, I realized I wouldn’t leverage some elements at all, a couple of them I just don’t need yet and only a few are actually useful for my current requirements. I strongly believe this might be true in your case as well and I see lots of people having similar issues I described. That’s why I decided to present here a minimal stack required to deploy your own application onto Kubernetes and expose it externally. Prerequisites I assume you already have a Kubernetes cluster available. It can be installed locally or hosted, among the others, on Google Cloud Platform. Additionally, you may have a look at my recent article which will help you to set everything up: How to configure Google Kubernetes Engine using Terraform Image An image is a lightweight, standalone, e...

Hello guys, DevOps is becoming an essential skill in today's Programming and Software Development world and Kubernetes is an important concept and tool for DevOps Engineer. It takes container based deployment to another level and allows you to manage it on the scale. You can use Kubernetest to scale your container environment or let Kubernetes do all the work for you by leveraging its auto-scaling feature. Many DevOps beginners think that Docker and Kubernetes are the same but they are not. Docker provides a container to deploy your application and commands to interact with those but container but Kubernetes is actually a container management technology, which decides how many containers are needed and deal with other management aspects. In fact, Kubernetes is arguably the most important container management technology in the world at this moment and you shouldn't be surprised that roots of Kubernetes lie on Google itself. It's not a Google tool but created by a coup...

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Introduction Objects in the Kubernetes API are abstractions that represent a state of your system: deployed containerized applications and workloads, their associated network and disk resources, and other information about what your cluster does. From my recent blogpost, you should know that Kubernetes also contains a number of higher-level abstractions called Controllers built upon the basic objects, and provide additional functionality along with convenience features: Kubernetes basic glossary Must-know terminology to understand Kubernetes concepts Objects are “records of intent” — once you create them, the Kubernetes will constantly work to ensure that these objects exist. By creating an object, you’re effectively telling the Kubernetes what you want your cluster’s workload to look like; this is your cluster’s desired state. Installation To work with Kubernetes objects — either to create, modify, or delete them — you’ll need to use the Kubernetes API. When you use t...