Our approach to software development has changed in the last few years. IT professionals and software developers are working more closely together than ever before. The DevOps trend also extends to an acknowledgement that automation is a key factor in reducing costs and increasing release speeds.

Striving to be cost effective is a constant for any business but the increased focus on speed of deployment is a product of the growth of the Cloud and Agile development methodology. The bottom line is – the faster new features, fixes and improvements reach the customer, the greater their satisfaction. The same principle applies in an enterprise environment – the faster the latest version of an application reaches users, the more productive they can be.

Both environments require scalability. As your product offerings grow and branch out, the delivery method must be capable of handling the changes. In the enterprise environment a large portfolio of software applications is the norm and any deployment solution must be able to scale.

Automated app deployment can reduce costs, increase speed and scale as needed, but before we take a look at the solution let’s discuss the problem.

App Deployment Nightmares

There are a lot of potential problems in deploying applications manually. Not least of which is the time it can consume for developers and IT support. Configuration is the first challenge. Where is the application stored? Which version should be installed? Where should it be installed? Where is the configuration file and how is it applied?

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Deployit provides fine-grained security settings based on roles and permissions and allows them to be configured through the CLI and in the GUI.

In this example, we’ll be setting up security roles using the GUI. The example environment has two applications, OnlineOrders and SiteSearch that are both deployed to a test server before going to production. There are two different teams developing and deploying the applications. One team can’t see the other’s team application. Moreover, developers can only deploy to the test environment. Deployers can deploy both to the test environment and to production.

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As part of testing and demonstrating our advanced deployment automation¹ platform Deployit, we at XebiaLabs use a lot of cloud and Devops tooling to be able to handle all the different types of middleware we support and build, CI and Ops tooling with which we integrate².

I was recently setting up a Vagrant³ environment to demonstrate Deployit’s Puppet module, which automatically registers new Puppet-provisioned middleware with your deployment automation platform to enable application-tier deployments to it, and ended up wrestling for quite some time with a tricky VirtualBox problem.
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As part of testing and demonstrating our advanced deployment automation¹ platform Deployit, we at XebiaLabs use a lot of cloud and Devops tooling to be able to handle all the different types of middleware we support and build, CI and Ops tooling with which we integrate².

I was recently setting up a Vagrant³ environment to demonstrate Deployit’s Puppet module, which automatically registers new Puppet-provisioned middleware with your deployment automation platform to enable application-tier deployments to it, and ended up wrestling for quite some time with a tricky VirtualBox problem.
 Read more

In a recent post, XebiaLabs‘ CTO Vincent Partington discussed some important organizational topics you will want to address while introducing deployment automation using Deployit.
Preparing your organization is, of course, crucial to getting maximum possible benefits from deployment automation. A few technical considerations also apply when introducing Deployit, and here we’d like to go into these so that you can be sure your infrastructure is ready when it comes to carrying out your first fully automated deployment.
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