Can it handle specific performance requirements?

Yes, users can specify upload/download bandwidth and OPS. The skill will then adjust the server count or disk density to ensure those requirements are satisfied.

Does it provide specific hardware recommendations?

Yes, the output includes a full specification including CPU models, RAM, system disk RAID, NVMe cache disk requirements, and data drive counts.

What erasure coding schemes are supported?

The planner automatically optimizes between EC4+2 (requiring at least 3 nodes) and EC8+2 (requiring at least 5 nodes) based on the scale of the deployment.

Which units are supported for capacity planning?

The skill supports both decimal (TB, PB) and binary (TiB, PiB) units. It specifically recommends binary units (TiB/PiB) for more accurate hardware alignment.

XSKY XEOS Storage Planner

Name: XSKY XEOS Storage Planner
Author: wutz

bywutz

0•

クラウドインフラストラクチャ

Calculates optimal capacity and performance configurations for XSKY XEOS object storage deployments based on specific workload requirements.

This skill streamlines the complex process of architecting XSKY XEOS object storage environments by translating capacity and performance targets into detailed hardware specifications. It automatically calculates the necessary server count, selects optimal erasure coding schemes like EC4+2 or EC8+2, and determines disk configurations while ensuring performance SLAs for upload/download bandwidth and OPS are met. Whether you are sizing a new data center or validating hardware for specific throughput needs, this tool provides a structured bill-of-materials and performance forecast.

主な機能

01Optimization of erasure coding schemes (EC8+2 or EC4+2) based on node availability

02Automated capacity calculation supporting both decimal (TB) and binary (TiB) units

03Performance modeling for upload/download bandwidth and operations per second (OPS)

04Intelligent hardware selection including CPU, RAM, NVMe cache, and HDD specs

05Detailed server-level configuration output for deployment planning

060 GitHub stars

ユースケース

01Determining the most cost-effective erasure coding strategy for a given server count

02Sizing a new XSKY XEOS object storage cluster to meet specific petabyte-scale requirements

03Validating if a hardware configuration can support specific upload/download throughput SLAs

主な機能

01Optimization of erasure coding schemes (EC8+2 or EC4+2) based on node availability

02Automated capacity calculation supporting both decimal (TB) and binary (TiB) units

03Performance modeling for upload/download bandwidth and operations per second (OPS)

04Intelligent hardware selection including CPU, RAM, NVMe cache, and HDD specs

05Detailed server-level configuration output for deployment planning

060 GitHub stars

ユースケース

01Determining the most cost-effective erasure coding strategy for a given server count

02Sizing a new XSKY XEOS object storage cluster to meet specific petabyte-scale requirements

03Validating if a hardware configuration can support specific upload/download throughput SLAs