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Products that do what We've built FREE cloud cost monitoring module for K8s does
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…
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Wanted to share some exciting news - CAST AI (AI-driven cloud cost monitoring and management platform) has launched a free Cloud security insights tool for K8s. Security Insights offers the following features: Kubernetes configuration checks, to ensure your cluster is configured according to best practices for pods and workloads. Users are provided with details on individual checks and resources through CAST AI’s user interface. Vulnerability scans, which offer an overview of potential issues that might appear due to container images downloaded from public registries. Round-the-clock…
2022 · cast.ai
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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
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2019 · github.com
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Hey folks, my name is Owen and I recently started working at a startup (https://infracost.io/) that shows engineers how much their code changes are going to cost on the cloud before being deployed (in CI/CD like GitHub or GitLab). Previously, I was one of the founders of tfsec (it scanned code for security issues). One of the things I learnt was if we catch issues early, i.e. when the engineer was typing their code, we save a bunch of time. I was thinking … okay, why not build cloud costs into the code editor. Show the cloud cost impact of the code as the engineers are…
2024
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2021 · github.com
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Hi HN, My name is Ben Schaechter and I’m Co-Founder and CEO of https://vantage.sh - a cloud cost visibility and optimization platform. We just added support for monitoring OpenAI costs and usage to Vantage and I wanted to share a demo we put together with HN as I thought people might find it interesting: https://www.youtube.com/watch?v=CzAOU1-uMrM In early April we started getting requests from customers to add OpenAI cost support specifically as it was a bit opaque as to what exactly was driving costs. The way this works is that it uses an undocumented API available…
2023
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Since there’s a few discussions recently on $4 VPSes we thought you might be interested in Symbiosis, a cheaper and simpler managed k8s provider. Supported features include external LBs, encrypted+replicated storage and autoscaler. Infrastructure can be managed with UI, CLI, Terraform or Pulumi. Control planes are free of charge and a 1vCPU/2GB node goes for $6 per month. We’re live in Germany right now and we’re expanding into US during 2023. Feel free to try it out and leave a comment.
2023 · symbiosis.host
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2018 · github.com
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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
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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
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Hi everyone, I run a generative AI infra company, unified API for 600+ models. Our team started deploying AI agents for our marketing and lead gen ops: content, engagement, analytics across multiple X accounts. OpenClaw worked fine for single agents. But at ~14 agents across 6 accounts, the problem shifted from "how do I build agents" to "how do I manage them." Deployment, monitoring, team isolation, figuring out which agent broke what at 3am. Classic orchestration problem. So I built klaw, modeled on Kubernetes: Clusters — isolated environments per org/project Namespaces — team-level…
Feb 2026 · github.com
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Hello Everyone, I'm excited to introduce a new open-source observability platform and would love to hear your feedback. We are aware that there are lots of open-source/commercial tools out there. However, we believe that monitoring the clusters and extracting actionable insights requires deep know-how about the tools/domain. We mainly focused on this problem. - Alaz is an eBPF agent installed on your K8s cluster as DaemonSet. Thanks to eBPF, Alaz collects traces directly from Linux kernels. This means there's no need for sidecars, instrumentations, or service restarts. - The UI not…
2023 · github.com
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We launched Infracost on HN five years ago (https://news.ycombinator.com/item?id=26064588) where our CLI generated cost estimates for infra-as-code, e.g. "this Terraform PR adds $400/mo". The idea was to shift cloud costs (FinOps) left, so engineers get visibility of costs before deployment and make better decisions. Earlier this year we started seeing agent traffic in our logs and it looked like coding agents were calling our CLI. But that CLI wasn't designed with coding agents in mind. We went down a philosophical rabbit hole to see if a CLI is even needed anymore given…
Jun 2026 · cost.dev
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2021 · github.com
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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
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2020 · github.com
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2021 · vantage.sh
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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
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