A version of this post was published in the DZone Continuous Delivery 2016 Guide.
Joint Offering Delivers Lowest-Cost, Multi-Cloud Container Management
We are extremely excited to partner with Spotinst to deliver cost effective, multi-cloud container management solution on AWS and Google Cloud Platform. Here is a post from Aharon Twizer at Spotinst with more details on our joint solution.
Nirmata provides multi-cloud container services for enterprise DevOps teams. Nirmata is built to leverage Infrastructure as a Service (IaaS) providers, for dynamic allocation and deallocation of resources. In this post, I will discuss a Nirmata feature that helps you optimize your cloud resource usage: Host Auto-Scaling.
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.
This is the second post in my series on managing clustered services with Nirmata. My previous post showed how to manage Zookeeper clusters. In this post, I will cover managing MongoDB clusters with Nirmata. You can skip this introduction if you have already read the previous post.
Check out the Microservices and DevOps content at Cisco Live 2015!
A cloud native application may use several backing services, for things like messaging and data management. Typically these backing services are deployed separately from the application services, so multiple application instances (environments) can utilize them. Also, these backing services typically run as a cluster. In this blog post, I will show you how you can use Docker and Nirmata to easily deploy and operate a production Zookeeper cluster.