When it comes to cloud applications, the complexity of trillions of configurations is impossible for humans to tune. In our last blog, Remaking APM for the Cloud-Native Era, we demonstrated the shift from public cloud to cloud-native technology to the innovation wave of Opsani. The transition was inevitable and essential to managing modern cloud applications. 

Why is configuration a problem for cloud workloads?

To answer this question, we need to discuss public cloud, cloud-native, and why they don’t equal to cloud efficiency.

Public Cloud 

We created Opsani by observing pain points in the cloud computing industry. To understand why Opsani is an essential tool, we need to start with the beginning, the move to the public cloud. 

Companies traded in the expensive CapEx model of developing data centers for a pay-as-you-go OpEx model. Another benefit is that the public cloud also makes infrastructure programmable. If you need more network and storage, you make an API making it easy to provision and move faster. 

So why should someone shift to the public cloud?

Net Benefits:

  • Deferred costs
  • Easier to consume


The public cloud sounds great, but the problem is everything is just an API call away.


Why do we do cloud-native, and what is it?

Cloud-native is a software architecture that supposes that developers have a cloud underneath them, meaning they have the fungible infrastructure. This is beneficial because developers don’t have to worry about provisioning servers. When they need more resources, they make an API call to get CPU and memory. These adjustments meant developers built their applications differently. 

The reason the applications were built differently was to increase business agility and engineering flexibility. How does this happen? By reusing code, increasing engineering flexibility. Let’s say a developer built a particular function for Product A, and now they can reuse that same exact function for Product B without rewriting the code, resulting in engineering flexibility and businesses moving quicker because they can introduce products much faster. The software turns more quickly, and the fungible cloud infrastructure underneath allows developers to scale up and down easily. For example, today, an application can have ten users, and tomorrow it could have 100 users with no problem. All a developer has to do is increase the number of containers, put a load balancer in front of it, and things go up.

What are the advantages of being cloud-native?

Net Benefits:

  • Easier to reuse code 
  • Faster to deploy product 

Now, developers are moving faster, and resources are easier to consume, then the product boss says, “make my product better.”

To solve the problem, the developer then throws resources at the application to improve it. There’s an API for that, so they consume more resources, and off they go. Problem solved! Except there’s a catch. The application owner pays more and more for their software services. The efficiency they are supposed to have isn’t there anymore. 

This leads us to why throwing resources at your application causes inefficiency. Let’s start with the process of reactive tuning vs. continuous optimization. 

Reactive vs. Continuous Optimization 

Reactive tuning 

At the top of the chart, there is someone who wants software; that’s the product owner, so what happens? The developers go off, and in the gitops age, they very quickly deliver code. They are using the reusable code that they built. The developer reuses the code, even though it was built for a specific function before. The developer thinks to themself “ who cares if there’s bloat because all they need to do is make the next piece of software work.” The developers are building the software with bloat; they configure it and ship it. 

This is when you see a performance lag on the end-user side. Then you do real-user monitoring, synthetic load, and APM, which are all very expensive to try to fix it. Despite all of this, the developers’ first reaction is to resolve the problem by overprovisioning it. The product owner now has bloated code and can over-provision to try to fix it because the cloud has made it more possible. 

Continuous optimization 

The bottom of the chart is when Opsani comes in to solve this problem. The difference with Opsani’s chart at the bottom is we provide real-time configuration changes and resourcing. The product owner doesn’t need to worry about configuration because we solve this problem for you. Because of the solution we provide for you through autonomous workload tuning, we enhance the user experience, make the application work better, and lower the cost. We take the guesswork out of optimization, help you deliver a better product and lower cost. 

It all comes down to customer experience, delivering performance, and cloud spend. We want to eliminate delivery delay, poor performance, and busting your budget. 

Let’s focus on Opsani Team 

Team sits between platform and Dev. 

What is Opsani Team?

It’s about getting your SaaS in gear. It’s about delivering an excellent user experience, enhancing performance, and reducing your cost. 

We want your developers to develop.


Our 3 pillars of benefits


Why do you need cloud optimization? 

The cloud is too complex for engineers to try and guesstimate configurations. This complex task needs to be done autonomously to prevent application discrepancies. Opsani team will free your developers from configuration guesswork while delivering an excellent SaaS user experience and delighting your CTO.

Opsani team is a feature of optimization focused on delivering an excellent UX experience while upping your application performance. Onboard Opsani today!