Cloud computing accelerates innovation by providing ubiquitous access to computing resources at a click of a button. However enterprises are weary of the costs associated with public cloud, especially as their usage grows.
In my previous post, I described how you can deploy containers on your laptop using Nirmata and boot2docker. While deploying containers on your laptop is great for dev/test, you may want to deploy containers on your cloud resources as your application moves through your deployment pipeline. Nirmata makes this extremely easy via its policy based orchestration. The same application can be deployed on your laptop or on any of the supported clouds without any changes.
If you are using boot2docker on MacOS, it is now easier than ever to deploy containerized applications on your laptop using Nirmata. You can be up and running in less than five minutes. In this post, I will describe the steps.
Check out the Microservices and DevOps content at Cisco Live 2015!
As companies strive to attain achieve software development agility, they are looking to automate each phase of their software development pipeline. The ultimate goal is to fully automate the deployment of code to production, triggered when a developer checks in a fix or a feature. Companies such as Netflix have built extensive tooling to enable their developers to achieve this level of sophisticated automation [1]. In this post, I will describe how deployments of containerized applications can be completely automated with GitHub, Docker Hub and Nirmata.
Each year, Gartner the technology research firm known for its Magic Quadrants, selects a few companies as ‘Cool Vendors’ in their market categories. This year, I am happy to announce that Gartner has selected Nirmata as a Cool Vendor in the Gartner's "Cool Vendors in Web-Scale Platforms, 2015".
The default networking mode in Docker (as of Release 1.5) is the bridge mode. The bridge mode setting creates a virtual Ethernet bridge device on the Linux host that enables containers to talk to each other, and the host. Docker’s port mappings can then be used to manage external traffic, from the host interface to containers.