With cloud spend analytics and recommendations just as our starting point, Spot actively optimizes AWS,
Azure and Google Cloud deployments with SLA-backed availability, fully automated
infrastructure management and up to 90% cost reduction.
With Spot, cloud consumers can effortlessly and affordably scale any workload, from
stateful, single instances, to cloud-native clusters made up of thousands of nodes.
Customer Reviews
Josh S.
Advanced user of Spot Cloud AnalyzerI have been a customer of SpotInst since 2016 and they have exceeded my expectations throughout the time using the product. From simplifying our challenges of leveraging the spot market in AWS, to helping us manage Kubernetes clustsers while attempting to scale horizontally and vertically, to leading us in the right direction with respect to Reservations and Savings plans, and to their latest work around cost analysis and areas of opportunity to reduce costs, it has been a fantastic journey/experience.
I should also mention we have worked with their technical teams to help us build out and manage our Spark clusters on AWS EMR so that we could run these clusters at the lowest costs possible, with a mix of spot (mostly) and RIs (small amount).
Finally, their support/customer success team is always highly responsive and their solutions architects are incredibly knowledgable in their respective areas of the product.
I do want to mention I have recently switched companies and when the time is right, I will be looking to bring them on at my new company.
Honestly, there is nothing I don't dislike. They are attentive, the solution solves a problem we have, and we have never had an issue leveraging the platform.
Maybe one small nit - I wish the UI for their SaaS platform was more performant. At times, it can take more than 5 seconds for parts to load.
If you are looking to reduce cost and improve resource efficiency, this is your solution. Plus, I know they will continue to improve the platform and provide additional services that will be helpful, as they always have since I have been using them.
My only other suggestion is if you are concerned, start small and work your way into it. We run production workloads and we never had an issue.
We solved the following problems:
- Cost management - getting the best cost on EC2 (our largest portion of our AWS bill)
- Operational efficiency - making sure we could get the most appropriate resources for the workloads we were running.
- Data pipeline cost reduction - we spent significant money on data workloads, and by leveraging the platform, we could contain the costs
- Automation - we were able to achieve both cost management and efficiency in an automated fashion
