Continuous Cloud Optimization

Opsani autonomously manages your runtime environment so that your software runs at its best and its leanest form. Higher Performance. Better Economics.

PRODUCT ANNOUNCEMENT:

Introducing the latest development from Opsani, Autonomous Learning Autoscaler for Kubernetes.  Using the latest in ML-Enabled Predictive Autoscaling for High Performance, Lower Cost Cloud Optimization.  Learn More

Opsani integrates with

CONTINUOUS OPTIMIZATION as a SERVICE

Symptoms of the problem, have you experienced any of these? More often than not you can optimize and solve one maybe two of these. Opsani allows for you to solve for all three autonomously without compromise.


72%

cost saving
Do More With Your Budget

Cloud Cost Savings

Reduce costs up to 71% by leveraging Opsani's AI algorithms. Opsani optimization continuously evaluates trillions of configuration permutations and pinpoints the best combinations of resources and parameter settings.

With Opsani, it is possible to tweak and perfect your runtime parameters that are too complex to touch. Opsani tunes your runtime infrastructure precisely to the workload and your business performance goals. By using precisely what you need, you get the performance that you need and quickly see your costs slashed.

Boost Performance

Effective cloud optimization makes enterprises more efficient by driving lower costs per transaction and offloading people through autonomous operations.

When you deploy Opsani, you define your app’s service-level objectives (SLOs). Opsani AI helps you reach your SLOs by finding and implementing the best configurations so you’re getting the best bang for your buck per transaction, and without human intervention.


230%

Boost Performance
Juice Transactions Per Second

5x

software velocity
Automate, Reduce Manual Work

Software Velocity

Software delivery speed is critical and why Opsani uses AI and ML to automate cloud workload tuning. Through automation we are able to achieve significant improvements in software delivery speeds while also keeping systems performing at their best with the lowest possible costs.

Opsani lets you keep your focus on velocity, by performing autonomous continuous optimization of your application - in production.

OPSANI LEARNING AUTOSCALER

Opsani Learning Autoscaler (OLAS), a drop-in replacement for the Kubernetes Horizontal Pod Autoscaler (HPA). Unlike HPA, OLAS uses machine learning to understand the traffic patterns of a service and scales resources up just ahead of traffic spikes to ensure there are enough pods ready to take the increased traffic. When traffic subsides, OLAS quickly scales down to reduce cloud computing costs.

The end result, is the lowest possible provisioning cost to meet application performance requirements with an optimal user experience. While also saving time and money by eliminating extensive manual tuning.

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Slide Optimization Parameter Kubernetes Containers
Any Cloud Environment
Package Features Scale Optimization Method Monitoring System Integration CPU
Memory
Instance Count
App Specific Parameter
Runtime Adjustments
Canary Deployments
Sidecar
Prometheus
DataDog
Other Monitoring Services
Control Interface UI
API
User Authentication SSO Type
Active Directory
Predictive Autoscaler CI/CD Integration Free Yes
Yes
Yes
Yes
No
No
Yes
Yes
Yes
No
No
No
Yes
No
Single Email
No
No No 1 Service Environment Risk Free: 30% of Yes
Yes
10 Services Yes
Yes
Yes
No
Yes
Yes
Yes
Yes
Yes
No
Yes
No
With IAM Roles
No
No No ELA Yes
Yes
1000 Services Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
With IAM Roles
Yes
Scale-Up, Scale-Down Yes realized savings Dev Team Platform Opsani SaaS Plans

Connectors available for


Benefits for Developers

Offload time-consuming QA optimizationsRelease features fasterDelight end users

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Benefits for SaaS Owners

Faster system responseReduced costHigher stabilityLess latencyBetter user experience

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