AI · alternatives · 2026
24 alternatives to Cast AI built EKS Optimizer – platform to analyze and reduce AWS costs
Optimize EKS costs with pod rightsizing, Karpenter vs. Auto Mode, Spot Instances, Graviton, and Compute Savings Plans.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Cast AI built EKS Optimizer – platform to analyze and reduce AWS costs launched in 2021; newer entries below may have overtaken it.
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Optimize EKS costs with pod rightsizing, Karpenter vs. Auto Mode, Spot Instances, Graviton, and Compute Savings Plans.
2021 · cast.ai · its alternatives →
- 2CA
CAST AI (https://cast.ai) has built a cloud optimization platform that reduces AWS cloud costs 50% to 90%, optimizes DevOps, and automates disaster recovery via multi-cloud with a single cluster. Intelligent optimization engine delivers a cost-efficient, high-performing, and resilient infrastructure for every Kubernetes workload. If it sounds too good to be true - try free. To make it easier CAST AI provides AWS and GCP cloud credentials for free. Visit https://cast.ai Here's how it works: 1.Use CAST AI to deploy your K8s clusters. Next, take a look at the CAST AI…
2021 · its alternatives →
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Reduce your EKS cost by up to 60% on auto-pilot
2023 · nops.io · its alternatives →
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Visualith▲119Simple way to deploy your apps on AWS saving around 60%
2023 · visualith.com · its alternatives →
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Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically,…
2022 · usage.ai · its alternatives →
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Kastrafree tier, from $19.99/mo▲332Hi HN, Fernando and I built Kastra. Kastra intercepts AI agent tool calls and evaluates them against deterministic policies before they execute. We built this product to control pre- and post-inference workloads. This is aimed at developers using coding agents like Claude Code, Codex, Cursor, and OpenClaw. Kastra pushes an allow, hold, and deny decision before the action runs. You can build these policies in plain English from the web app. The interception engine evaluates the tools, targets, and parameters of every action at sub 1ms at a scale of billions of interceptions per day. We also…
Jul 2026 · kastra.ai · its alternatives →
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Monitor compute, GPU, storage, and network costs allocated by namespace, deployment, or label. Identify pod waste and rightsize workloads.
2021 · vantage.sh · its alternatives →
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Hey HN: Kaveh here, the founder of https://www.usage.ai/ We launched on Hacker News for the first time early last year, and we've made a lot of progress since then. We've saved tens of millions of dollars for companies, and we are even more excited to announce the launch of a new product: insured reservations for RDS! We worked closely with AWS on this feature and are excited to finally make it generally available. We help companies drive down AWS EC2 & RDS spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs…
2023 · its alternatives →
- 10IB
Hey HN: I'm Kaveh, the founder of Usage (https://www.usage.ai/) We help companies drive down AWS costs. Why? Because the way it's done now is a pain. Stakeholders, especially engineers, are required to spend unnecessary time manually finding underutilized or overly expensive EC2s. We believe the optimization process should be done automatically through a series of sophisticated algorithms. At the moment, there are over 70,000 AWS EC2 prices - doing that manually just won't scale at most organizations. My background is in software engineering. Previous to founding Usage, I…
2020 · its alternatives →
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DataMacaw▲67Train and run your AI models easily at low cost in the cloud
2022 · aws.amazon.com · its alternatives →
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Open-source cloud-environment inspector. Supporting AWS, GCP, Azure, and more! Your cloud resources will have nowhere to hide! - mlabouardy/komiser
2019 · github.com · its alternatives →
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Contribute to FeSens/auto-arch-tournament development by creating an account on GitHub.
Apr 2026 · github.com · its alternatives →
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Ascend.io▲149Advanced AI for building & running agentic data & workflows
2025 · ascend.io · its alternatives →
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Cloudchipr▲138Cloud costs observability,management and automation platform
Jan 2026 · cloudchipr.com · its alternatives →
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If you’re in DevOps, SRE or software engineering in general you’ll love this. You can now both monitor your Kubernetes costs and get cost reduction insights completely FREE with CAST AI. We’ve just officially opened cost monitoring feature up to the public at CAST AI and it’s got no limits to the number of clusters you can connect or historical data you can access. Check it out here: https://cast.ai/cloud-cost-monitoring/ CAST AI’s cost monitoring features: - Free analysis for all your clusters, with no limits on their number or sizes. - Near-instant results as…
2022 · cast.ai · its alternatives →
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- 19AM
Hey all - I work at Vantage, a FinOps platform. I know AI is peak hype right now. But it has definitely changed some of our dev workflows already. So we wanted to find a way to let our customers experiment with how they can use AI to make their cloud cost management work more productive. The MCP Server acts as a connector between LLMs (right now only Claude, Cursor support it but ChatGPT and Google Gemini coming soon) and your cost and usage data on Vantage which supports 20+ cloud infra providers including AWS, Datadog, Mongo, etc. (You have to have a Vantage account to use it since it's…
2025 · its alternatives →
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Hi HN, we built world-model-optimizer, an open source tool to continually improve a specialized model for an agent. It does this by simulating production tool responses through text world modeling (similar to QwenAgentWorld, summary here https://x.com/silennai/status/2073887455884058814). We can then use this to train a router for frontier, OS, and local models (use defaults or pick which ones to optimize against). wmo ingests agent traces, builds the simulation, embeds the traces, runs different models you choose against the simulation scenarios, and then uses a KNN…
Jul 2026 · github.com · its alternatives →
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AWS DeepRacer▲119A 1/18th scale race car to learn machine learning 🚗
2018 · aws.amazon.com · its alternatives →
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Reduce your cloud costs - SREs/DevOps/Cloud Engineers Hi community! We are Kaytu (“Kay-two,” named after the K2 mountain), and we've developed an open-source tool for engineering, DevOps, and SRE teams to reduce cloud costs. Cloud inflation (“cloud-flation”) is real—AWS EC2 costs are up 23% (4-5x global inflation average [1]), and 30% of the capacity that is paid for is simply wasted ([2]). The best way to improve cloud utilization is by simplifying the process so engineers can spot inefficiencies and suggest changes. We built a simple open-source CLI tool that recommends a…
2024 · github.com · its alternatives →
- 24IB
Hi everyone, I've been working on a side project over quarantine called Usage.ai and I finally feel comfortable enough to launch it. We're a service that plugs directly into AWS, automatically finds savings, and applies those savings at the press of a confirmation button all without ever needing to go to an AWS console. I'd love to get HN's thoughts on it! Demo: https://www.loom.com/share/2a6f1c8e4c214914a1cdd88c6fdec4ac Link: https://www.usage.ai/
2020 · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →