Updated: May 22
Think the only cloud skills you’ll need to bring into your organization are Azure, AWS or GCP skills? Think again!
Many of the benefits of public cloud computing can only be achieved when coupled with modern deployment techniques like Infrastructure as Code and deployment pipelines.
These techniques are synonymous with a DevOps culture – enabling a culture of collaboration and shared responsibility between development and operations for the products they create and maintain.
The most significant advantages of a cloud computing model can only be unlocked by adopting DevOps tooling. Here’s a few of them:
By defining cloud infrastructure as code, you can ensure that templates include cost management features like budgets and alerts on overspend.
Using pipelines to sequentially deploy infrastructure also provides the ability to sequentially destroy infrastructure, meaning significant cost savings! Stop paying for cloud resources in Dev and Test environments most of the time.
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If you can define an entire solution by code, and deploy within minutes, then your DR environment for non-critical workloads may not need to be deployed, unless in an outage scenario. Imagine only paying for DR when you need it!
Ever had a change go wrong and need to roll back, only to find the rollback plan failed? Not a problem when your infrastructure is defined with declarative code. Simply roll back to the previous version of the code. This functionality is built-in when using a robust source code repository like Git.
When humans test changes before rolling out to production, there is always a chance of human error. And what if somebody changed something in production unknown to others? This could invalidate your tests. Pipelines prevent this when used correctly, as they deploy an identical version of the code sequentially through Development, Test, and Production environments.
The number one cause of security incidents with public cloud workloads is human error. DevOps significantly reduces the chance of human error with automated security scanning, workflows for peer review and approvals, and the ability to use security-vetted templates for deployment.
By defining the entire stack in one place and providing access to all stakeholders, complete transparency and collaboration can be achieved, keeping developers, security engineers, and cloud engineers aligned.
By automating the delivery of infrastructure, many dependencies across teams can be removed. Coupled with the increased safety around security and change management, this leads to much more frequent deployments.
Using code to define an entire solution might take some time to get right the first time. However, you then have a template that can simply be copied to a new solution, taking your deployment time for new solutions down to mere minutes of work.
If you aren’t using Infrastructure as Code and CI/CD techniques to deploy your cloud workloads, you are leaving most of the cloud’s value on the table.
Reach out to us on our contact page for a free consultation on how your organization can use these techniques to realize huge cost savings, security enhancements, and delivery speed to your cloud operations.
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This article was Part 5 of our “9 things C-Suite executives need to know about Public Cloud” series. Follow us for more Public Cloud strategic insights!
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