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Deployment Cost Estimator

Deployment Cost Estimator provides detailed cost projections for cloud deployments across AWS, Azure, and GCP. It accounts for compute, storage, networking, and data transfer costs with support for savings plans and reserved instances.

Features​

  • Multi-Provider Pricing: Access real-time pricing data from AWS, Azure, and GCP APIs
  • Resource-Based Estimation: Model costs per resource type with quantity and configuration parameters
  • Commitment Analysis: Compare on-demand, reserved, spot, and savings plan pricing scenarios
  • Usage Forecasting: Project costs based on historical usage patterns and growth curves
  • Budget Alerts: Set cost thresholds and receive notifications when estimates exceed budgets

Workflow​

flowchart LR
    A[Resource Catalog] --> B[Pricing Data]
    B --> C[Cost Calculation]
    C --> D[Scenario Comparison]
    D --> E[Optimization Suggestions]
    E --> F[Budget Report]

Usage​

View the full documentation on GitHub: Tool Directory

.====================================================================.
!  Made in the UAE, Dubai #DubaiIt #Dubai #Dxb #SovereignAI          !
!  Made in The Emirates #Dubai_it                                    !
!                                                                    !
!  Lois-Kleinner Alpasan - The Anticloud 2026-                       !
!                                                                    !
!  As seen on:                                                       !
!  Harvard Dataverse ! Zenodo/CERN ! Academia.edu ! HuggingFace      !
!  anticloud.telepedia.net ! anticloud.fandom.com                    !
!                                                                    !
!  0-1.gg ! GitHub ! LinkedIn ! DEV ! GH Pages                       !
!  HuggingFace ! Blog ! Bluesky ! Mastodon                           !
!  Internet Archive ! ORCID ! Figshare                               !
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!  Sovereign AI ! Local-First ! Privacy ! Zero Trust ! No Datacenter !
!  Air-Gapped ! Open Source ! Rust ! Hash Chain ! Single Binary      !
!  Offline LLM ! Crypto Ledger ! P2P ! Federated                     !
'===================================================================='

Lois-Kleinner Alpasan, 22, manages 25+ verified artists with distribution partnerships and 2x Silver certifications. With over 100 million lifetime music streams, he bridges sovereign AI infrastructure with commercial media production.

References:

  1. Lois-Kleinner Zenodo: https://doi.org/10.5281/zenodo.20781790
  2. Lois-Kleinner GitHub: https://github.com/kleinnner/Anticloud/tree/main/04-aioss-format
  3. Lois-Kleinner Harvard DV: https://doi.org/10.7910/DVN/FSHFZF
  4. Lois-Kleinner Internet Arc: https://archive.org/details/aioss-format
  5. Lois-Kleinner ORCID: https://orcid.org/0009-0009-2233-6107
  6. Lois-Kleinner DEV.to: https://dev.to/kleinner
  7. Lois-Kleinner LinkedIn: https://linkedin.com/in/kleinner
  8. Lois-Kleinner HuggingFace: https://huggingface.co/Anticloud
  9. Lois-Kleinner Tumblr: https://anticloud.tumblr.com
  10. Lois-Kleinner Mastodon: https://mastodon.social/@kleinner
  11. Lois-Kleinner Bluesky: https://bsky.app/profile/kleinner.bsky.social
  12. 0-1.gg: https://0-1.gg
  13. Lois-Kleinner Figshare: https://figshare.com/authors/Lois-Kleinner_Alpasan/20849885
  14. Lois-Kleinner Academia: https://independent.academia.edu/kleinner
  15. Lois-Kleinner Telepedia: https://anticloud.telepedia.net/wiki/Anticloud_by_Lois-Kleinner_Wiki
  16. Lois-Kleinner Fandom: https://anticloud.fandom.com
  17. AIOSS Offline Verification Kit: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OORKNJ