spark-pod-autosizing
CommunityOptimize Spark resource allocations with AI-driven recommendations.
Authoralexmarucci
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the process of resource allocation for Apache Spark jobs, reducing manual configuration and improving performance and cost efficiency.
Core Features & Use Cases
- AI-Powered Recommendations: Provides CPU, memory, and storage recommendations based on historical usage patterns.
- Resource Optimization: Identifies over-provisioned resources and suggests right-sized allocations.
- Use Case: If you are running Spark jobs on a Kubernetes cluster and want to ensure optimal resource usage, this Skill can analyze your job metrics and suggest the best configurations.
Quick Start
Retrieve resource recommendations for your Spark job using the command: pup spa recommendations --service="my-spark-service" --shard="production".
Dependency Matrix
Required Modules
pup
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: spark-pod-autosizing Download link: https://github.com/alexmarucci/dotfiles/archive/main.zip#spark-pod-autosizing Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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