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Usage AI VS Spot.io

Compare Usage AI VS Spot.io and see what are their differences

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Usage AI logo Usage AI

Usage's Automated Reserved Instance Manager buys/sells Flex RIs(3-yr-no-upfront RIs under the hood) to maximize your coverage and minimize your compute spend - up to a maximum 57% savings!

Spot.io logo Spot.io

Build web, mobile and IoT applications using AWS Lambda and API Gateway, Azure Functions, Google Cloud Functions, and more.
  • Usage AI Landing page
    Landing page //
    2023-08-28
  • Spot.io Landing page
    Landing page //
    2023-07-25

Usage AI features and specs

No features have been listed yet.

Spot.io features and specs

  • Cost Savings
    Spot.io helps businesses to significantly reduce cloud costs by up to 90% through its automated infrastructure management and optimization, particularly with the use of spot instances.
  • Automation
    The platform offers robust automation capabilities for infrastructure scaling, deployments, and workload optimizations, reducing manual overhead for IT teams.
  • Multi-Cloud Support
    Spot.io supports multiple cloud environments, including AWS, Azure, and Google Cloud, allowing for flexibility and easier management across diverse cloud infrastructures.
  • Enhanced Uptime
    Through predictive algorithms and workload management features, Spot.io maintains higher application availability and reliability even when using spot instances.
  • Integration Capabilities
    It has strong integration capabilities with various CI/CD tools, monitoring systems, and cloud services, making it easier to embed into existing workflows.

Possible disadvantages of Spot.io

  • Complexity
    The initial setup and configuration can be complex and may require a steep learning curve for teams unfamiliar with spot instances and automated cloud management.
  • Dependency on Spot Instances
    A significant part of the cost savings revolves around the use of spot instances, which can be preempted by the cloud provider, introducing the risk of downtime or disruption for certain workloads.
  • Cost Variability
    While cost savings can be significant, the use of spot instances can lead to variable costs, making budgeting and cost forecasting more challenging.
  • Limited Control
    Automated infrastructure management can sometimes lead to less granular control over specific configurations and instance choices, which might not be suitable for all types of applications or workloads.
  • Support and Documentation
    Users have reported that the support and documentation can sometimes be lacking, which can present challenges during troubleshooting and advanced configurations.

Usage AI videos

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Spot.io videos

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What Is Serverless?

More videos:

  • Review - The Problem With Serverless
  • Review - Is AWS Amplify better than the Serverless Framework?
  • Review - Spot.io: Optimizing Cloud Infrastructure Through Secure Cost Aware Automation
  • Review - NetApp Buys Spot.io

Category Popularity

0-100% (relative to Usage AI and Spot.io)

Usage AI

Spot.io

Cloud Computing
28 28%
Cloud Computing
72% 72
DevOps Tools
0 0%
DevOps Tools
100% 100
Cloud Cost Optimization
100 100%
Cloud Cost Optimization
0% 0
AWS Management
100 100%
AWS Management
0% 0

User comments

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Social recommendations and mentions

Based on our record, Usage AI should be more popular than Spot.io. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Usage AI mentions (3)

  • Stop bleeding money on cloud infrastructure
    Thanks for sharing your project! Cloud costs have gotten ridiculously out of control (an Andreessen Horowitz report estimates that the excess cost of public cloud is $500 billion per year [1]) and it's great to see more projects tackling this problem. I'm curious to see if you plan on implementing automation, or if the tool is focused on recommendations? We've built a tool at Usage.AI that automatically buys and... - Source: Hacker News / almost 3 years ago
  • Comparing Bandwidth Costs of Amazon, Google and Microsoft Cloud Computing (2017)
    +1 on WalterGR's question. Google Cloud recently hiked prices (again), doubling prices for some of its services [1], though Amazon has a better track record of keeping prices steady (or even reducing them) [2]. There are also newer innovations that aren't discussed in that comparison, like Google's Commited Use Discounts and Azure Reserved VM Instances (their answers to Amazon's Reserved Instances). If you're... - Source: Hacker News / almost 3 years ago
  • Show HN: Usage, Cut your AWS Bill by 50%+ in 5 Minutes
    FYI, you didn't provide a clear link or anything. Just the privacy policy in footer. Looks like it is this: https://usage.ai. - Source: Hacker News / about 3 years ago

Spot.io mentions (1)

  • Nvidia to Acquire Run:AI
    +1 In my previous stint, I had worked with Spot (https://spot.io/) as one of our vendors. Absolutely great product, amazing customer support and ability to take feature requests, or otherwise address our pain points quickly and effectively. - Source: Hacker News / about 1 year ago
  • Is k8s Kops preferable than eks?
    FWIW, I am also a big spot.io fan for our workload. During the holidays I run 30-50% spot instances and run 100% spot most of the year. Source: over 2 years ago
  • Is there anything else we can use beside tags and Cost Explorer to keep track of costs?
    Also, you definitely should look into Reservations, and (sale pitch coming) Spot can help you manage those. Source: over 2 years ago
  • AWS spot instances for CI jobs
    All of this is on spot-instances. We used spot.io (I believe the product is called "Ocean") and they basically took care of all the backend logic to make spot-instances available for the ECS cluster. Source: about 3 years ago
  • If I just focus on K8S does the Cloud provider matter much (GKE, EKS etc)
    Does cloud provider matter? I would say/think so. Not just cloud provider, but further more, how you set it up, which begets cloud provider. Are you setting it up with only the aws cli? Or did you terraform it? Maybe you chose a particular terraform module or maybe you used eksctl. Maybe you used kops or kubeadm. All these things matter when you get to cluster autoscaling, tainting particular node types to... Source: almost 4 years ago

What are some alternatives?

When comparing Usage AI and Spot.io, you can also consider the following products

CloudFix - CloudFix is the automatic, always-running way to optimize AWS cost and performance.

Packer - Packer is an open-source software for creating identical machine images from a single source configuration.

ProsperOps - Cost optimization tools and expertise from the creators of AWS' largest Managed Service Provider. Our customers increase savings an average of 34%.

Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.

Cloudability - Cloudability lets you monitor, manage and communicate your cloud costs with one easy tool.

Terraform - Tool for building, changing, and versioning infrastructure safely and efficiently.

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