Today we are excited to announce the beta for Docker for Windows Desktop with integrated Kubernetes is now available in the edge channel! This release includes Kubernetes 1.8, just like the and and will allow you to develop Linux containers.The easiest way to get Kubernetes on your desktop is here.Simply check the box and goWhat You Can Do with Kubernetes on your desktop?Docker for Mac and Docker for Windows are the most popular way to configure a Docker dev environment, and are each used everyday by millions of developers to build, test, and debug containerized apps. The beauty of building with Docker for Mac or Windows is that you can deploy the exact same set of Docker container images on your desktop as you do on your production systems with Docker EE.Docker for Mac and Docker for Windows are used for building, testing and preparing to ship applications, whereas Docker EE provides the ability to secure and manage your applications in production at scale.
Kubernetes and Docker work together to orchestrate a software application. Docker’s containers serve as the individual instruments, each providing a single piece of the whole. Kubernetes is the conductor of the orchestra, making sure that all the pieces are in tune and playing on the right key. Kubernetes.” That’s a phrase you hear frequently these days. Unfortunately, its meaning is more difficult to unpack than may first appear, largely because “Docker” can refer to multiple things (a container runtime, an orchestrator associated with that runtime, a company, and more).
Docker vs Kubernetes: The Journey from Docker to KubernetesThe need to deploy applications from one computing environment to another quickly, easily, and reliably has become a critical part of enterprise’s business requirements and DevOps team’s daily workflow.It’s unsurprising then, that container technologies, which make application deployment and management easier for teams of all sizes, have risen dramatically in recent years. At the same time, however, virtual machines (VM) as computing resources have reached their. Since VMs existed long before containers, you may wonder what the need isfor containers and why they have become so popular. The Benefits and Limitations of Virtual MachinesVirtual machines allow you to run a full copy of an operating system on top of virtualized hardware as if it is a separate machine.
In cloud computing, physical hardware on a bare metal server are virtualized and shared between virtual machines running on a host machine in a data center by the help of hypervisor (i.e. Virtual machine manager).Even though virtual machines bring us great deal of advantages such as running different operating systems or versions, VMs can consume a lot of system resources and also take longer boot time. On the other hand, containers share the same operating system kernel with collocated containers each one running as isolated processes. Containers are lightweight alternative by taking up less space (MBs) and can be provisioning rapidly (milliseconds) as opposed to VM’s slow boot time (minutes) and more storage space requirements (GBs). This allows containers to operate at an unprecedented scale and maximize the number of applications running on minimum number of servers. Therefore, containerization shined drastically in the recent years because of all these advantages for many software projects of enterprises.
![Kubernetes Kubernetes](/uploads/1/2/5/6/125637438/800389715.jpg)
Need for Docker Containers and Container Orchestration ToolsSince its initial release in 2013, Docker has become the most popular container technology worldwide, despite a host of other options, including RKT from CoreOS, LXC, LXD from Canonical, OpenVZ, and Windows Containers.However, Docker technology alone is not enough to reduce the complexity of managing containerized applications, as software projects get more and more complex and require the use tens of thousands of Docker containers. To address these larger container challenges, substantial number of container orchestration systems, such as Kubernetes and Docker Swarm, have exploded onto the scene shortly after the release of Docker.There has been some confusion surrounding Docker and Kubernetes for awhile: “what they are?”, “what they are not?”, “where are they used?”, and “why are both needed?”This post aims to explain the role of each technology and how each technology helps companies ease their software development tasks. Let’s use a made-up company, NetPly (sounds familiar?), as a case study to highlight the issues we are addressing.NetPly is an online and on-demand entertainment movie streaming company with 30 million members in over 100 countries. NetPly delivers video streams to your favorite devices and provides personalized movie recommendations to their customers based on their previous activities, such as sharing or rating a movie. To run their application globally, at scale, and provide quality of service to their customers, NetPly runs 15,000 production servers worldwide and follow agile methodology to deploy new features and bug fixes to the production environment at a fast clip.However, NetPly has been struggling with two fundamental issues in their software development lifecycle:Issue 1- Code that runs perfectly in a development box, sometimes fails on test and/or production environments. Therefore, NetPly would like to keep code and configuration consistent across their development, test, and production environments to reduce the issues arising from application hosting environments.Issue 2- Viewers experience a lot of lags as well as poor quality and degraded performance for video streams during weekends, nights, and holidays, when incoming requests spike. To resolve this potentially-devastating issue, NetPly would like to use load-balancing and auto scaling techniques and automatically adjust the resource capacity (e.g.
Increase or decrease number of computing resources) to maintain application availability, provide stable application performance, and optimize operational costs as computing demand increases or decreases.