Skill UI

A comprehensive guide for implementing robust policy enforcement and security guardrails in HubSpot integrations. This methodology covers secret scanning within CI/CD pipelines to prevent token leaks, utilizes ESLint rules for enforcing modern authentication practices, and leverages TypeScript for compile-time and runtime checks. Use this when setting up secure, scalable, and compliant codebases for HubSpot APIs.

This guide provides a comprehensive approach to setting up secure webhook endpoints for HubSpot CRM events. It demonstrates best practices for handling real-time data changes, including robust v3/v2 signature verification to ensure data integrity. Furthermore, it implements idempotent logic to prevent duplicate event processing when integrating a custom system with HubSpot's contact, company, or deal records.

High-throughput event streaming SDK for .NET to send and receive events via Azure Event Hubs, with production EventProcessorClient, checkpointing, authentication, and batch sending.

Build real-time streaming applications with the Azure Event Hubs SDK for Java. Covers client creation, sending event batches, partition keys, and production-grade event processors with checkpointing.

Python SDK for Azure Event Hubs streaming: send and receive high-throughput events, use producers, consumers, async clients, and Blob checkpointing for reliable processing.

Client library for Azure Event Hubs in Rust, enabling sending and receiving events, batch processing, and streaming data ingestion. Ideal for building scalable event-driven applications with high-throughput data pipelines.

This skill covers using the Azure Event Hubs SDK for TypeScript to build high-throughput event streaming applications. It includes real-time data ingestion, sending events to specific partitions, receiving events with checkpointing for production reliability, and handling batch processing options. Ideal for IoT telemetry and real-time data pipelines.