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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.
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Usage 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, VS Code seems to be a lot more popular than Usage AI. While we know about 1214 links to VS Code, we've tracked only 3 mentions of Usage AI. 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.
The step up from there is an editor with a built-in agent like Cursor, Google Antigravity, Windsurf, or VS Code with a coding extension. These are code editors with an AI agent living inside them, and the difference is the responsible party for getting things from place to place. Instead of the software creator shuttling code between windows, the AI agent edits the project files directly and runs the GitHub and... - Source: dev.to / 8 days ago
For IDE-heavy teams, BYOK (bring your own key) can be interesting, no matter whether you live in WebStorm or VS Code. On the JetBrains side, the JetBrains AI plans and Junie BYOK docs allow it, and most VS Code AI extensions offer the same idea: keep the IDE, connect provider keys, pay the provider. - Source: dev.to / 29 days ago
Option 1: Raw editing in IDE. You open the .md file in VS Code or whatever you use. Syntax highlighting shows you the structure. Maybe you toggle a preview pane. This works for quick edits but becomes painful for anything involving tables, diagrams, or complex formatting. - Source: dev.to / about 1 month ago
You'll need Python 3.8+ and pip for the quickstart, with venv recommended for isolation. Install the requests library for HTTP calls. VS Code with the Python extension works well as an editor, though PyCharm or Sublime Text work equally well. You'll also need a free Foxit developer account. - Source: dev.to / about 1 month ago
For viewing and navigating, Obsidian handles large markdown libraries well: graph view, tag search, template plugins. VSCode works too if you'd rather stay in your dev environment. Both read the same folder with no conversion needed. - Source: dev.to / about 1 month ago
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 / about 4 years ago
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