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Cloudthread Savings Hub – Find AWS Savings or We'll Pay You

Hacker News

Cloudthread Savings Hub – Find AWS Savings or We'll Pay You

Hello HN! Daniele, Ilia, and Thomas here to share Cloudthread’s new Cost Savings Hub to help companies surface and eliminate cloud waste. We’re putting our money where our mouth is: for the next two weeks, find over $500 in monthly AWS savings with Cloudthread’s Savings Hub or we’ll give you a $100 Amazon Gift Card. More context: https://www.cloudthread.io/aws-save-or-get-paid Most cloud infrastructure managers know there’s waste in their cloud environment but it’s challenging and time consuming to 1) surface all the waste, 2) convert those opportunities into actualized savings, and 3) have confidence in cloud cost efficiency as you continue to grow. We make it easy to uncover all your waste in AWS, easily filter/prioritize by cost impact/difficulty, group opportunities for action, create Jira tickets to enter engineering sprints, and analyze savings progress. A video walkthrough of the Savings Hub by Ilia, Cloudthread CPO, is here: https://youtu.be/0j12fiXDgYc The Savings Opportunities Explorer aggregates recommendations from native AWS tools (e.g. EC2 rightsizing from Compute Optimizer) and Cloudthread computed savings recommendations (e.g. RDS/ElastiCache rightsizing, S3 intelligent tiering savings, unattached EBS, NAT Gateway savings, & many more). For a full list of the savings opportunities we surface, see here: https://docs.cloudthread.io/guides/optimizing-cloud-costs/su... Opportunities are assigned a Difficulty to make it easy to filter/prioritize by cost impact and implementation complexity. Each opportunity shows relevant usage data to evaluate the recommended action directly from Cloudthread (e.g. for an RDS rightsizing recommendation, see max CPU and Memory utilization in the last 30 days). Opportunities can be grouped into Threads which are mini cost management projects - track progress, create a Jira ticket, and eventually close threads to track actualized savings. Excited for any and all feedback and excited to help you reclaim cash from AWS asap. If there are other cloud cost-saving actions you’re manually evaluating that can be done programmatically, please let us know and we’ll add it as a savings opportunity!

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nativeThis product was originally launched on this platform.
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50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
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17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
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