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But monitoring in the cloud is quite different, with basic defaults that produce vast quantities of data—much of which may not be relevant to your organization. Roger Fulton is Iron. His background includes broad experience in software architecture and operational planning. He manages international teams to deliver highly available products for end users and highly performing in-house infrastructure.

Prior to joining Iron. Roger holds a Masters from the Queens University of Belfast, having graduated with highest honors. Leading Business Transformation From the Top. A Golden Age for Developers. The Road to Redemption. Code Affinity. Driver Distraction.

Real Life Data Center Deployments and Best Practices

Related Topics automation cloud deployment cloud services cloud sprawl infrastructure security. Show more. Show less. Like this: Like Loading Sponsored Content. Featured eBook. In response to this, the way we approach the design and delivery of software has changed. The most impactful change is the application of supply chain concepts to software.

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Our website uses cookies. If the change was made by mistake, a developer will have to revert it, push it, then redeploy. Testing on a local computer removes the need to commit, push and deploy completely. We do not recommend using deployments for rapidly changing development environments. Running your software locally is the best choice for that sort of testing. Once the features are implemented and considered fairly stable, they get merged into the staging branch and then automatically deployed to the Staging environment.


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This is when quality assurance kicks in: testers go to staging servers and verify that the code works as intended. It is very handy to have a separate branch called staging to represent your staging environment. It will allow developers to deploy multiple branches to the same server simultaneously, simply by merging everything that needs to be deployed to the staging branch.

It will also help testers understand what exactly is on staging servers at the moment, just by looking inside the staging branch. We recommend to deploy to the staging environment automatically on every commit or push. Once the feature is implemented and tested, it can be deployed to production. If the feature was implemented in a separate branch, it should be merged into a stable development branch first. The branches should be deleted after they are merged to avoid confusion between team members.

8 Best Practices for Agile Software Deployment

The next step is to make a diff between the production and development branches to take a quick look at the code that will be deployed to production. Stuff like debugger breakpoints, verbose logging or incomplete features. Once the diff review is finished, you can merge the development branch into production and then initialize a deployment of the production branch to your Production environment by hand. Specify a meaningful message for your deployment so that your team knows exactly what you deployed.

Make sure to only merge development branch into production when you actually plan to deploy. Merging on time will make files in your production branch match files on your actual production servers and will help everyone better understand the state of your production environment. We recommend always deploying major releases to production at a scheduled time, of which the whole team is aware of.

Find the time when your application is least active and use that time to roll out updates. Urgent production fixes can be deployed at any time. After deployment finishes make sure to verify it. It is best to check all the features or fixes that you deployed to make sure they work properly in production.

Administering versus developing

It is a big win if your deployment tool can send an email to all team members with a summary of changes after every deployment. This helps team members to understand what exactly went live and how to communicate it to customers. Beanstalk does this for you automatically. In that case you have the possibility to rollback. However, you should be as careful with rollbacks as with production deployments themselves.


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  • Sometimes a rollback bring more havoc than the issue it was trying to fix. Before performing a rollback, answer the following questions:. Not all releases can be rolled back.

    Technical Documents

    Sometimes a release introduces a new database structure that is incompatible with the previous release. In that case if you rollback, your application will break. After rollback is done, make sure to fix the bug that you discovered and commit it to either the development branch if it was minor or a separate bug-fix branch. Sometimes you need to deploy a bug-fix to production quickly, when your development branch is not ready for release yet.

    The workflow in that case stays the same as described above, but instead of merging the development branch into production you actually merge your bug-fix branch first into the development branch, then separately into production, without merging development into production.

    The Four Sub-dimensions of Continuous Deployment

    Then deploy the production branch as usual. The development branch is where developers work all day, so if your fix is only in the production branch they will never see it and it can cause confusion. Using automatic deployments for Production environment is dangerous and can lead to unexpected results.