Usage AI
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Usage.ai is an automated cloud cost optimization platform designed to help companies reduce infrastructure spending across AWS environments. The platform focuses on optimizing commitment-based pricing such as AWS Savings Plans and Reserved Instances.
Instead of manually forecasting infrastructure usage and purchasing commitments, Usage.ai continuously analyzes real-time cloud consumption and automatically manages commitments to maximize savings while minimizing the risk of unused capacity.
Engineering and FinOps teams use Usage.ai to improve their effective savings rate, reduce manual cloud cost management work, and gain better visibility into infrastructure efficiency.
By automating commitment purchasing and optimization, Usage.ai helps organizations achieve predictable cloud savings while allowing engineering teams to focus on building products instead of managing cloud pricing complexity.
Usage AI LoadForgeUsage AI's answer
Usage.ai automates cloud commitment management with AI, continuously optimizes savings across AWS, Azure, and GCP, and protects customers with Insured Commitments that reduce the risk of underutilized commitments.
Usage AI's answer
Usage.ai doesn't just recommend savings - it automatically purchases, manages, and optimizes cloud commitments, backed by Insured Commitments that reduce financial risk and maximize long-term savings.
Usage AI's answer
Usage.ai is built for DevOps, FinOps, Cloud Architects, Engineering leaders, and IT decision-makers who want to reduce cloud costs across AWS, Azure, and GCP without manual commitment management.
Usage AI's answer
Usage.ai was founded in 2020 after its founder saw companies either overpaying for cloud infrastructure or avoiding long-term cloud commitments because of the financial risk. The company set out to make cloud savings automatic, risk-free, and easy, helping businesses save without code changes or lock-in.
Usage AI's answer
Primary technologies used by Usage.ai:
Based on our record, Usage AI should be more popular than LoadForge. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Thanks for sharing your project! Cloud costs have gotten ridiculously out of control (an Andreessen Horowitz report estimates that the excess cost of public cloud is $500 billion per year [1]) and it's great to see more projects tackling this problem. I'm curious to see if you plan on implementing automation, or if the tool is focused on recommendations? We've built a tool at Usage.AI that automatically buys and... - Source: Hacker News / about 4 years ago
+1 on WalterGR's question. Google Cloud recently hiked prices (again), doubling prices for some of its services [1], though Amazon has a better track record of keeping prices steady (or even reducing them) [2]. There are also newer innovations that aren't discussed in that comparison, like Google's Commited Use Discounts and Azure Reserved VM Instances (their answers to Amazon's Reserved Instances). If you're... - Source: Hacker News / about 4 years ago
FYI, you didn't provide a clear link or anything. Just the privacy policy in footer. Looks like it is this: https://usage.ai. - Source: Hacker News / over 4 years ago
I've used LoadForge before for stress testing: https://loadforge.com I found it a good middle-ground between DIY tools like "hey" and the likes of JMeter and K6. LoadForge is really just a frontend for Locust [2]behind the scenes so all tests are written in Python which might not fit your requirement for Go/Rust, but it's affordable and quick to get started with. [1] https://github.com/rakyll/hey. - Source: Hacker News / almost 5 years ago
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