Skill UI

This guide provides advanced patterns for managing Notion API rate limits. It details implementing robust retry logic using exponential backoff with jitter, honoring `Retry-After` headers, and utilizing queue-based throttling (e.g., with p-queue) to proactively maintain a stable request rate (3 req/s). Essential for developing high-throughput, resilient, and stable Notion integrations.

A guide to building production-grade, fault-tolerant integrations with Notion. Learn industry best practices for handling API failures, including exponential backoff retries, implementing circuit breakers to prevent cascade failures, utilizing offline caching for graceful degradation, and setting up health checks. Essential for maintaining high system uptime when interacting with the Notion API.

A comprehensive go/no-go checklist for deploying OneNote integrations using the Microsoft Graph API. It covers critical production failure points, including advanced authentication resilience (token caching, silent renewal), rate limit handling (exponential backoff, tenant-level tracking), and explicit error code management for robust deployment. Essential for launch reviews.

This skill provides comprehensive techniques for building highly resilient clients when interacting with Oracle Cloud Infrastructure (OCI) APIs. It addresses the common 429 TooManyRequests throttling errors by implementing custom exponential backoff with jitter, utilizing the SDK's advanced retry configuration, and integrating circuit breaker patterns for large-scale, high-volume operations. Use this guide when automating bulk OCI tasks to ensure reliable data retrieval and prevent API failure due to rate limits.

This guide provides production-grade patterns for using the Oracle Cloud Infrastructure (OCI) Python SDK. It addresses critical issues such as preventing Instance Principal memory leaks by implementing a thread-safe singleton client pattern, configuring explicit connection and read timeouts, and implementing robust exponential backoff retry strategies for transient errors (429, 5xx). Essential for building reliable, long-running OCI services.

This skill provides a robust solution for managing API rate limits, particularly crucial when integrating with enterprise platforms like Palantir Foundry. It implements advanced techniques including exponential backoff, jittered retries for handling 429/5xx errors, and a token bucket rate limiter for controlled batch throughput. Use this to ensure reliable data ingestion and bulk API operations.

This guide provides production-ready patterns for integrating with the Palantir Foundry Platform SDK. It covers essential best practices like implementing thread-safe singletons, structured error handling, automatic pagination for large data sets, and robust retry mechanisms with exponential backoff. Ideal for refactoring existing Foundry integrations or establishing team coding standards.

This skill provides a comprehensive guide on managing rate limits when interacting with the Persona API. It implements robust strategies such as exponential backoff and request queuing to ensure stable and reliable identity verification workflows, effectively handling 429 Rate Limit errors in Python.

This SDK pattern guide provides production-ready, best-practice coding patterns for building robust decentralized applications (dApps) on the blockchain. It covers essential concepts like provider singletons, implementing exponential backoff retry logic for transient RPC failures, managing multi-chain connectivity, batching RPC calls for efficiency, and caching contract interactions using ethers.js. Ideal for developers building scalable, reliable Web3 infrastructure.

This skill provides advanced methods for interacting with Salesforce, focusing on high-volume data processing. It covers using Bulk API 2.0 for mass data ingestion, querying, and exporting millions of records. Furthermore, it demonstrates the Composite API for executing complex, multi-step, and dependent transactions (e.g., creating Account, then referencing it to create Contact) in a single, atomic call, ensuring data integrity and maximum efficiency.

A comprehensive guide and implementation pattern for handling Salesforce API quotas and rate limits. Learn how to monitor daily usage, implement exponential backoff with jitter for transient errors (like REQUEST_LIMIT_EXCEEDED), and optimize API calls using bulk operations, caching, and queryMore to ensure stable, high-throughput integrations.

This guide provides methods for managing API rate limits, specifically addressing complex cost-based throttling models (like SalesLoft's). It teaches how to implement robust rate-limit-aware clients, handle 429 errors using exponential backoff, and calculate the total cost associated with deep pagination, ensuring stable and optimized API throughput for large-scale bulk operations.