Skill UI

Provides comprehensive strategies for minimizing API credit consumption when using SerpApi. Techniques include implementing aggressive caching with Redis, utilizing the free Archive API for historical data retrieval, and selecting the appropriate engine (like Google Light API) to balance cost and speed. Includes cost calculation models and usage monitoring scripts.

A comprehensive guide to optimizing search result retrieval using SerpApi. Learn advanced techniques such as multi-layer caching (LRU/Redis), utilizing the faster Google Light API, implementing parallel search execution, and minimizing data payload to drastically reduce latency and API credit consumption. Ideal for high-volume, low-latency search applications.

A comprehensive reference architecture for building scalable, production-grade search features using SerpApi. This blueprint covers essential components such as caching layers (Redis), multi-engine abstraction, SERP tracking pipelines, rate limiting, and credit budget management. Ideal for developers designing advanced search widgets, SEO tools, or complex search-powered applications.

A comprehensive reference architecture for building scalable, cost-effective, and robust AI services. This system manages the full AI lifecycle, including intelligent model routing (for quality/cost trade-offs), response caching (using Redis), asynchronous batch processing, and fine-tuning pipeline management via Together AI's OpenAI-compatible API. Ideal for enterprise applications requiring high availability across multiple open-source models.

This guide provides advanced strategies for optimizing Webflow Data API v2 performance. Learn how to mitigate rate limits and reduce latency by utilizing CDN-cached live item reads, implementing application-level or Redis caching, and leveraging bulk endpoints for efficient data writes. Essential for high-traffic, data-intensive Webflow projects that require robust scaling.

A comprehensive playbook detailing NoSQL injection techniques, moving beyond traditional SQLi. Covers deep vulnerabilities in MongoDB, including operator injection, login bypass, blind data extraction using regex, and $where execution. Also includes attacks specific to Redis, CouchDB, and general API parameter pollution.

This playbook provides expert-level techniques for exploiting common infrastructure services that are exposed without proper authentication. Coverage includes Redis RCE, Rsync data theft, PHP-FPM code execution, AJP file reads, and MongoDB/Hadoop vulnerabilities. Essential for deep penetration testing and security auditing.

A comprehensive guide to Redis best practices for backend development. Learn how to implement critical features such as Cache-Aside, Write-Through caching, rate limiting, distributed locks, and reliable messaging using Pub/Sub and Redis Streams. Essential for building scalable, high-performance production systems.