nOps - Cloud Optimization Platform
Automated spot usage has reduced cloud bills and keeps critical workloads running reliably
What is our primary use case?
I can provide a specific example of how I have used nOps to reduce costs and optimize workloads. I linked a customer's AWS environment with nOps, and it generated findings from there. With approval from the customer, I applied cost reductions using Spot Instances.
I used nOps for Spot Instances, and it ensures that the correct number of instances is running at all times using Spot Instances. When needed, it uses on-demand instances so the workload continues running.
How has it helped my organization?
What is most valuable?
nOps helps with cost cutting, particularly with Spot Instances, by maintaining the minimum number of instances running at all times so that traffic receives responses without delays, which makes this feature valuable to me.
I primarily used nOps for Spot Instances, and it worked very well for that purpose. It maintains the minimum number of instances running at all times so traffic receives responses. At the same time, we save costs. Rather than using on-demand, we use Spot Instances that offer 90% savings on AWS.
What needs improvement?
At the same price currently offered, there should be lower percentages for some other packages because the service is currently offered at a very high cost percentage. In the future, they should launch additional features at lower costs.
For how long have I used the solution?
What was our ROI?
What's my experience with pricing, setup cost, and licensing?
What other advice do I have?
Regarding nOps's AI capabilities, its governance and security feel better secured because it uses best practices when connected to AWS, so I would rate that aspect positively.
Concerning nOps's AI capabilities, the accuracy and reliability of output should be given only read-only access to limited data first and foremost, so that customer data is never revealed to AI chatbots or other tools. This is the primary concern. Regarding accuracy, nOps is already providing accurate results at the current moment, but using AI, it can improve the algorithm and enhance prediction-based scaling, which would help substantially.
My advice to others considering nOps is that they should examine alternatives. If they can build an in-house product that provides similar results, though perhaps not as accurate as nOps, that could be beneficial. However, initially, they can use nOps to get started and gain initial findings about their workload, specifically determining what percentage they can save by using such tools. This is my advice to them. I give this review an overall rating of 8 out of 10.