Cloud Squeeze - CloudSqueeze.ai

SaaS - Fort Mill, SC, US

Cloud Squeeze - CloudSqueeze.ai Employees
Catherine PHR

Senior Technical Recruiter

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Catherine M

Senior Technical Recruiter

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Unnikrishnan Pr

Marketing & Design, UI/UX

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Cloud Squeeze - CloudSqueeze.ai Details

Gain Insights with Deep Learning and AI for your AWS cloud.CloudSqueeze is like having your own AI expert working on your AWS generated data to discover opportunities for cost savings along with operational anomalies and insights to help you navigate the cloud.It is the only product that shows your cost savings in under three minutes, irrespective of the size of your cloud fleet. CloudSqueeze does this from just read-only access to your cloud vendor-generated data. Using your compute workload patterns, we assess the right cloud resource type, thereby helping you reduce costs by not carrying excess cloud capacity. On average, we save our users 15%-55% in costs. And we do this without:• Installing any clunky software• Access to any of your private key secured content on S3, EC2, RDS• Installing any agents on your O/S or hypervisors• Requesting private keys or admin access to your data in the cloud• Any upfront cash payments type ‘reservations'CloudSqueeze helps simplify a multitude of DevOps tasks with AI. With AI we provide scale up, scale down alerts on all your AWS cloud resources – EC2, EBS, RDS, S3, Networking traffic and more.Spending velocity alerts help our customers avoid bill surprises from cloud resources unintentionally left provisioned, that tagging with other governance policies and budget alerts cannot catch. In the cloud, price and product features change frequently. We provide ways for you to leverage what your workload can consume now, in the best cost effective way along with AWS tutorials that help our community implement these changes in a timely manner."Spending velocity alerts help our customers avoid bill surprises from cloud resources unintentionally left provisioned, that tagging with other governance policies and budget alerts cannot catch."

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Website: cloudsqueeze.ai
Employees: 5 - 9
HQ: N/A
Location: Fort Mill, SC, US
Revenue: Not Available
aws azure cloud ai cost optimization cost control capacity planning aws billing cost management cloud capacity planning artificial intelligence
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