Why the Rise of DevOps Demands Continuous Optimization

The rise of DevOps has been wonderful. Now that developers and operations folk can work together in an agile setting, deployment windows are no longer stuck within slow, quarterly rhythms. Production deployments can occur hundreds of times every day, and companies can deliver features, fixes and updates in rapid fashion. 

Within an agile DevOps setting, Continuous Integration (CI), Continuous Delivery and Continuous Deployment (CD) have become established practices. Many companies now operate a smooth CI/CD toolchain, and reap the results. 

But the rise of DevOps demands more than simply CI and CD. It demands the third and final part of the chain: CO. Continuous Optimization.


Here’s the thing: apps vary wildly in how efficiently they can perform their given task. They have a bunch of moving parts, and these parts can function better or worse depending on how they are configured. The right sorts of 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.

Why? 

Because in the DevOps era, apps are incredibly complicated. Even a simple app comprised of a few containers can have trillions of resource 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 realize this, but they don’t know what to do. So they over-spend 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.

Most cloud and mobile apps  chronically run with less performance and more cost than is possible for the workload. But there’s no need for this to be the case. Such inefficiencies can be avoided by augmenting a DevOps setting with 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. With CO, it is still possible to maximize their potential. 

Contact us today for a free demo.

To learn more about Continuous Optimization, check out our whitepaper:

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