Tool Information
Pump is an AI-powered cloud savings tool that automatically optimizes Amazon Web Services (AWS) bills without any input from engineers. The tool aims to help businesses save up to 60% on their AWS bills by providing group discounts and using algorithmic arbitrage to match AWS consumption with commitments in real-time. With minimal IAM permissions and operations solely at the billing layer level, Pump claims to ensure maximum security with zero impact on the user's infrastructure. Businesses can get started with Pump for free, with no obligation to commit unless they are satisfied with the cost savings that Pump provides. Pump requires users to commit to working together for a year to balance risks, and monetizes through a small percentage from the volume discounts of the collective spend achieved. Pump supports many AWS services including EC2, Sagemaker, RedShift, ECS, Lambda, EBS, ElasticCache, OpenSearch, and plans to add support for RDS, EC2 Data Transfer, and S3 soon. Pump offers free estimate savings, zero financial risk, and zero engineering effort. Contacting their support team can help answer other questions that may not be listed in the FAQ section on their website. While currently focused only on AWS, Pump plans to add support for GCP and Azure in the future as well.
F.A.Q (20)
Pump is an AI-powered cloud savings tool that automatically optimizes Amazon Web Services (AWS) bills without any needed input from engineers. It aims to help businesses save up to 60% on their AWS bills by providing group discounts and algorithmic arbitrage to match AWS consumption with commitments in real-time.
Pump saves users on their AWS bill by providing group discounts and using algorithmic arbitrage to align AWS consumption with commitments in real time. This prevents overspending on the default on-demand option. Pump requires minimal IAM permissions and affects only the billing layer, maintaining maximum security with zero impact on the infrastructure.
Pump supports numerous AWS services including EC2, Sagemaker, RedShift, ECS, Lambda, EBS, ElasticCache, and OpenSearch.
Pump ensures maximum security by operating solely on the billing layer level with minimal IAM permissions. This tenet is sufficient for Pump to claim discounts on the user's behalf without acquiring unnecessary access to any other sensitive parts of the infrastructure.
There is no impact on the user infrastructure when using Pump. It operates only on the billing layer level, with no ability to alter the user environment.
Pump users are expected to commit to working together for a period of one year in order to balance risks.
Pump monetizes its service by taking a small percentage from the volume discounts of the collective spend achieved.
Currently, Pump provides services exclusively for AWS. However, support for GCP and Azure is part of the roadmap for Q2 2023.
The future plans of Pump include adding support for RDS, EC2 Data Transfer, and S3 soon. They also plan on extending their services to encompass GCP and Azure by Q2 2023.
Yes, businesses can get started with Pump for free. There is no obligation to commit unless they are satisfied with the cost savings that Pump provides.
Pump's pricing involves taking a small percentage from the volume discounts of the collective spend achieved. The specific percentage value is not explicitly mentioned on their website. The company requires an annual contract commitment and relates no information about the preferred payment method.
Pump's group discount works by negotiating higher $/hr spend and efficiencies of scale through grouped purchasing. This involves allocating unused resources from one company to another resulting in higher discounts for everyone.
Pump will soon expand to support other AWS services such as RDS, EC2 Data Transfer, and S3 to offer customers better cost optimization.
Pump's monthly plan offers a 30-day notice to cancel. No specific cancellation procedure or policy is mentioned for the annual plan.
For new Pump users, onboarding involves viewing an estimate of their savings, identifying where they would like to receive money back, and integrating their AWS account into Pump's collective for autonomous savings.
Pump operates from 1550 Mission Street, San Francisco, CA 94103. Support can be reached via email at [email protected] or by texting 650.468.0297.
Pump's AI works by constantly planning, purchasing, and selling the most effective AWS commitments on behalf of the user. As the user environments grow, shrink, or have inevitable spikes, Pump dynamically adapts leveraging algorithmic arbitrage.
No, Pump will not risk downtime or interruptions to developer workflows. It has zero ability to modify the user environment and thus there is no chance for any server downtime or interruptions to developer workflows.
Pump has the capability to auto-manage savings plans. It constantly plans, purchases, and sells the most effective AWS commitments on behalf of the user.
No manual input is needed for Pump to work. It uses AI algorithms to automatically plan, purchase, and sell commitments based on the user’s AWS service usage.
Pros and Cons
Pros
- Operates at billing layer only
- Minimal IAM permissions
- Zero impact on user's infrastructure
- Free trials available
- Pledges up to 60% savings
- Dedicated account manager
- Arbitrage algorithm for best savings
- Supports multiple AWS services
- Plans for RDS
- EC2
- S3 support
- Real-time AWS consumption monitoring
- Allocates unused resources efficiently
- Group buying for volume discounts
- Fast onboarding process
- Non-obligatory savings estimate
- Plans to support GCP
- Azure
- Zero-financial-risk policy
- Consolidated billing option
- No server downtime risk
- 24x7 support via Slack
- Automated RI management
- Support for collective spend
- Future roadmap clear and shared
- Easy way to join AWS collective
Cons
- Only supports AWS
- No GCP and Azure support
- Mandatory one-year commitment
- Limited range of AWS services
- Only on the billing layer
- Monetizes only through volume discounts
- Pricing information not clear
- Limited dedicated support
- Doesn't support all billing scenarios
- Optimization strategy not explicit
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