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.
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.
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.
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.
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.
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.
Nirmata’s mission is to fully automate the operations and management of multi-cloud applications packaged in containers.
Nirmata’s mission is to fully automate the operations and management of multi-cloud applications packaged in containers.
An exciting thing about Docker is the number of interesting use cases that emerge as developers adopt containers in their application development and operations processes.
An exciting thing about Docker is the number of interesting use cases that emerge as developers adopt containers in their application development and operations processes.