cloud optimization

When you think of the word holistic, I’m sure cloud optimization is not the first word that comes to mind, but it should be. According to, the definition of holistic is “incorporating the concept of holism, or the idea that the whole is more than merely the sum of its parts, in theory, or practice.” This is precisely how we approach our cloud optimization.

Now, to answer the question you’re asking yourself, how is cloud optimization holistic?

 We optimize the entire application stack, and we do this optimization in concert to eliminate hotspots or backpressure from occurring in the system. Many people don’t realize that today’s systems are highly interconnected and highly inter-dependent on various services in the ecosystem. Performance tuning throughout the stack is vital to the overall optimization of the application and its services. Optimizing in isolation leads to hotspots and backpressure and over-provisioning as a symptom.

Overprovisioning may not seem a serious problem, but unfortunately, it is. 

 Many DevOps engineers rely on manual effort to optimize applications. Manual tuning is not practical because it relies on a once and done approach. Tuning your applications one time is not optimization. In such a dynamic, fast-changing environment performing optimization once is not going to cut it. This is why we designed Opsani’s continuous and autonomous approach using AI. We listened to our customers and understood that optimization needs to be done at a speed and scale that is impossible with human effort alone. As cloud applications continue to become more complex, this tuning process is virtually impossible.  

Why can’t cloud optimization be done manually?

Today’s application stacks are vastly more complex than legacy monolithic applications of years past. If you adjust one, you can affect another; manual performance tuning is like a game of whack-a-mole. You are finding hot spots and back pressure as you adjust configurations. Guessing the right configurations is not reliable and can result in long-term ramifications.  

Without optimization, you are at risk for outages. 

It is vital to avoid back pressure in the system, leading to the classic thundering herd problem. This is critical, as was recently seen in the Amazon outage of 2020 over Thanksgiving. They had a herd larger than they could contain. The only way to solve it was to shut it down and restart services in an orderly manner, causing hours of the outage to customers. Outages lead to a negative customer experience. With our optimization, we can ensure your application is tuned in real-time to prevent outages.

How is Opsani different from other cloud optimization tools?

Opsani’s optimization uses a continuous and autonomous approach; this means that Opsani will optimize your application and its services in an ongoing manner, resulting in re-optimizing the services as the demands and conditions are changing in your environment. Your application will be more reliable and more stable, providing a much higher quality of service to the end-user. We want to give your customers the best experience possible when interacting with your application. Let Opsani help you by removing the tedious manual effort and enable continuous and autonomous optimization for better performance, lower cost, and higher reliability of your applications. For more Opsani info, check out our last blog post Understanding Chaos Engineering And Why It Matters.