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Search Performance Monitoring , found 72 results

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Centralized Metrics Aggregation

aggregating-performance-metrics

jeremylongshore/claude-code-plugins-plus-skills

Aggregates performance metrics from applications, systems, databases, caches, queues, and external services into a central platform, helping teams define a consistent taxonomy, choose aggregation tools, and create dashboards and alerts for faster monitoring and troubleshooting.

Log Performance Analyzer

jeremylongshore/claude-code-plugins-plus-skills

Analyzes application logs to spot slow requests, recurring errors, and resource warnings, helping troubleshoot performance issues and inform structured logging or monitoring improvements.

Log Performance Analyzer

jeremylongshore/claude-code-plugins-plus-skills

Analyzes application logs to spot slow requests, recurring errors, and resource warnings, helping troubleshoot performance issues and inform structured logging or monitoring improvements.

Manage Azure Application Insights Resources

azure-mgmt-applicationinsights-dotnet

sickn33/antigravity-awesome-skills

Provides the Azure Resource Manager SDK for .NET to manage Application Insights resources. It enables comprehensive observability, allowing developers to programmatically create, configure, and manage performance monitoring components, API keys, and availability tests (WebTests) within Azure cloud environments.

Benchmark Suite Creator

benchmark-suite-creator

jeremylongshore/claude-code-plugins-plus-skills

Guides performance engineers through defining, coding, and validating benchmark suites for load, stress, and performance monitoring scenarios, following established best practices and standards.

Automated Bottleneck Identifier

bottleneck-identifier

jeremylongshore/claude-code-plugins-plus-skills

Guides automated bottleneck identification within performance testing, offering step-by-step advice, auto-generated configurations, validation against standards, and coverage of load, stress, benchmarking, and monitoring workflows.

ClickHouse Analytics and Data Engineering Patterns

cc-skill-clickhouse-io

sickn33/antigravity-awesome-skills

This guide provides comprehensive patterns and best practices for working with ClickHouse, a high-performance OLAP database. It covers advanced topics such as MergeTree engine design, efficient query optimization (filtering, aggregations, window functions), bulk/streaming data ingestion, materialized view creation, and performance monitoring techniques, ensuring optimal performance for large-scale analytical workloads.

Clerk Auth Observability and Monitoring

clerk-observability

jeremylongshore/claude-code-plugins-plus-skills

Implement comprehensive monitoring, structured logging, and performance tracking for Clerk authentication flows. This solution covers logging sign-in/out events, tracking middleware performance, handling webhook events, and integrating detailed error tracking with Sentry, ensuring robust debugging and auditing capabilities in production environments.

Clerk Production Readiness Checklist

clerk-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive checklist for ensuring an application integrated with Clerk is fully production-ready. It covers essential steps across environment configuration, security hardening (e.g., CORS, rate limiting), monitoring setup, graceful error handling, and performance optimization necessary before launching to a live audience.

ClickHouse Analytics Patterns

affaan-m/everything-claude-code

Guides ClickHouse database architects through schema designs, query optimization, ingestion strategies, and monitoring techniques tailored for high-performance analytical workloads.

Cpu Profiler Config

cpu-profiler-config

jeremylongshore/claude-code-plugins-plus-skills

Automates cpu profiler configuration guidance for performance testing, covering load, stress, benchmarking, and monitoring scenarios to ensure best practices.

APM Dashboard Creator

creating-apm-dashboards

jeremylongshore/claude-code-plugins-plus-skills

Automates crafting APM dashboards by identifying required metrics, selecting golden signals, and generating configurations for Grafana, Datadog, or other monitoring platforms, so you can quickly visualize application health and performance.

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