An agile DevOps approach combines agile sprints with the integrated teamwork of a DevOps model. When developers and operations folk can work together with agile practices and teams, deployment windows are no longer stuck within quarterly rhythms. Production deployments can occur hundreds of times every day, and companies can deliver features, fixes and updates in rapid fashion. 

Within agile DevOps, Continuous Integration (CI), Continuous Delivery and Continuous Deployment (CD) have become established practices. Many companies now operate a smooth CI/CD toolchain, and enjoy the results. But this collaborative achievement demands more than simply CI and CD. It demands the post-delivery part of the chain: Cloud Optimization (CO).

Cloud optimization is the key to making sure you don’t overspend on your cloud bills. 

Apps vary wildly in how efficiently they can perform their given task. They have a plethora of moving parts, and these parts can function better or worse depending on how they are configured. 

The right tweaks, performed on an ongoing basis, can have an enormous impact on performance and cost. But most organisations hardly bother with performance tuning. They know that their apps probably aren’t running as well as they could be, but they don’t change things. When it comes to the post-delivery phase of a cloud application, DevOps optimization is absent.

Why is this? 

Because in the agile DevOps era, cloud apps are incredibly complicated. Even a simple app composed of a few containers can have trillions of resources and basic parameter permutations. With such incredible complexity, proper performance tuning is beyond the reach of human cognition. It requires dedicated software that is automated and custom-built to handle the vast amount of configuration tweaks available at any given moment. 

Many enterprises utilizing agile DevOps approaches realize this, but they don’t know what to do. So they overspend and over-provision, simply to ensure that things don’t fall apart. But there’s no need for such wastefulness. All that is required is for performance tuning to be handed off to a custom-built and dedicated digital tool, who can handle the job.

With Cloud Optimization, companies can immediately unlock cost savings. 

Most cloud and mobile apps  chronically run with less performance and more cost than is possible for the workload. Such inefficiencies can be avoided by augmenting an agile DevOps setting with true, automated performance tuning. Yes, nowadays, cloud and mobile apps are incredibly dynamic, fast-moving, and complex. But this doesn’t mean they can’t also be lean and hyper-efficient.

Start your agile DevOps optimization today. Contact us for a free demo.

Or you can learn more about Cloud Optimization by checking out our whitepaper:

Download Continuous Optimization Whitepaper