Can this skill help with noisy security alerts?

Yes, it includes detailed suppression syntax and strategies to group or limit repetitive detections, reducing volume by up to 95%.

Does it support different LimaCharlie billing models?

Yes, it provides optimization advice tailored for Quota-Based (vSensors), Usage-Based, and Sleeper Mode billing configurations.

How does this skill help reduce LimaCharlie costs?

It provides specific workflows for using zero-cost GCP regions, filtering output streams to detections-only, and implementing sensor culling for inactive agents.

Is this skill useful for large-scale deployments?

Absolutely, it contains specific guidance for managing enterprise-scale billing SKUs like output_data, query_events, and sensor_events.

LimaCharlie Performance & Cost Optimizer

Name: LimaCharlie Performance & Cost Optimizer
Author: tekgrunt

bytekgrunt

セキュリティとテスト

Optimizes LimaCharlie deployments by reducing operational costs, tuning query performance, and implementing efficient resource management strategies.

概要

This skill empowers security engineers and platform owners to maximize the efficiency of their LimaCharlie SecOps environment through expert-level cost reduction and performance tuning. It provides actionable guidance on navigating complex billing models, implementing zero-cost egress strategies using same-region cloud outputs, and reducing event noise via advanced suppression and sensor culling. By applying these patterns, users can significantly lower their monthly spend while improving the speed and accuracy of their security telemetry and detections.

主な機能

Advanced event suppression techniques to reduce detection noise
Automated sensor culling to reclaim unused license quotas
Query optimization patterns for faster, lower-cost telemetry searches
Cost-saving strategies for GCP same-region outputs
Resource monitoring and proactive billing alert configuration
0 GitHub stars

ユースケース

Improving the speed of historical telemetry queries while lowering event evaluation counts
Reducing high monthly egress costs from forwarding security events to external SIEMs
Automating the cleanup of stale cloud instances to maintain license quota compliance

概要

主な機能

Advanced event suppression techniques to reduce detection noise
Automated sensor culling to reclaim unused license quotas
Query optimization patterns for faster, lower-cost telemetry searches
Cost-saving strategies for GCP same-region outputs
Resource monitoring and proactive billing alert configuration
0 GitHub stars

ユースケース

Improving the speed of historical telemetry queries while lowering event evaluation counts
Reducing high monthly egress costs from forwarding security events to external SIEMs
Automating the cleanup of stale cloud instances to maintain license quota compliance