Harnessing the compute resources of the cloud to optimize efficiency and costs of batch and service tasks.
Open Data
Python
Benchmarks
Start a server
PRICE/HOURS
CPU
RAM (GB)
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extract_transform_load
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We meticulously monitor cloud providers and flexible server providers, tracking details such as their data centers, availability zones, server offerings, and in-depth pricing options. This comprehensive data is openly accessible through our public databases.
Here are some key highlights regarding the information we currently cover.
SQL query to show statistics on the Spare Cores inventory and update frequency
4 (out of 10 planned) vendors
334 availability zones
2014 server types
800,000+ benchmark scores
~275,000 live price records
~5k records updated hourly
~20M historical records
Tracked every 5 mins.
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resource_optimization
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Only 3 Steps to optimize your compute resources
Screenshot of the server listing page, focusing on the filter elements in the sidebar
1
Step
Define Your Needs
Utilize our platform's dozens of filters to precisely outline your workload requirements, specifying details like number of vCPUs, amount of memory/storage, or GPU options.
Screenshot of the server listing page, focusing on the search results, showing 3 instance records in a table
2
Step
Find Optimal Resource
Let Spare Cores narrow down 2,000+ server types and 300,000 pricing options based on your criteria. We prioritize cost efficiency, presenting you with optimal choices.
Running the SC runner CLI tool to start a t4g.nano instance
3
Step
Deploy with Ease
Use our CLI tool to launch the selected instance in your cloud environment. Our streamlined process ensures it is up and running without unnecessary complexities.
<spare_cores> is 100% committed
to using and contributing to
open-source!
Spare Cores is still in the early development phase, initiated in Q3 of 2023 and gaining momentum in 2024, particularly thanks to the support from NGI Search funding.
Banner image showing NGI (Next Generation Internet) funding for the SC (Spare Cores) project
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project_components
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The status and brief descriptions of all the existing and planned Spare Cores components:
COMPONENTSTATUSREPOSITORYDESCRIPTION
SC CrawlerBetaPython logoInventory cloud resources into a SQlite database.
SC InspectorBetaInspect and benchmark cloud resources.
SC DataBetaPython logoWrapper around data collected using the Crawler.
SC KeeperAlphaAPI logoAPI to search the Data.
SC ScannerStableWWW logoWeb frontend and programming language SDKs for Keeper.
SC RunnerBetaLaunching actual cloud instances.
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fun_facts
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The most expensive server costs over $250 per hour. It comes with 448 vCPUs and 24TB RAM.
Most regions have 3 independent zones.
Some are single-zone, and one have 6 zones.
While spot prices are relatively stable nowadays, they can still fluctuate by up to 10% within a day.
There is a 2500x performance difference between the fastest and slowest nodes.
Some vendors charge 6+ times the price of a public IPv4 address compared to others.
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release_notes
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We publish case studies, learnings from implementing Spare Cores components, and other project updates from time to time. Find some of our featured articles below:
  • ✅ Amazon Web Services (Done)
  • ✅ Google Cloud Platform (Done)
  • ✅ Hetzner Cloud (Done)
  • ✅ Microsoft Azure (Done)
  • ⚙️ UpCloud (In Progress)
  • ⚙️ Vultr (In Progress)
  • 🗓️ Oracle Cloud Infrastructure (Planned)
  • 🗓️ Scaleway (Planned)
  • 🗓️ Alibaba Cloud (Planned)
  • 🗓️ OVH Cloud (Planned)