Skill UI

A comprehensive guide detailing how to establish robust monitoring for Qdrant. Covers setting up Prometheus metrics scraping, implementing Liveness and Readiness probes for Kubernetes, configuring alerts, and centralizing logs. It provides specific instructions for both self-hosted and Hybrid Cloud environments, ensuring full operational visibility and compliance.

This guide provides comprehensive guidance on scaling Qdrant, a vector database. It helps users diagnose performance bottlenecks and determine the optimal horizontal or vertical scaling strategy. Strategies are categorized based on specific needs: increasing data volume, improving query throughput (QPS), minimizing query latency, or managing high query result volumes.

This guide provides comprehensive strategies for scaling datasets that exceed the capacity of a single node. It covers various architectural patterns, including multi-tenancy with payload partitioning and sliding time window management. We detail the full scaling progression, from optimizing a single node (Vertical Scaling) to distributing data across multiple nodes via sharding (Horizontal Scaling), ensuring reliable handling of massive, growing datasets.

This comprehensive guide provides advanced strategies for optimizing and scaling Qdrant vector database throughput (QPS). It covers performance tuning techniques, such as optimizing segment size, enabling quantization, and using batch search. Furthermore, it details horizontal scaling methods using read replicas and addressing disk I/O bottlenecks, ensuring high performance for large-scale, high-concurrency retrieval applications.

A comprehensive operational guide for managing Salesforce integration failures and outages. This runbook provides step-by-step procedures for initial triage, diagnosing common API errors (e.g., rate limiting, authentication failures), implementing mitigation strategies, and conducting detailed post-incident reviews (postmortems). It covers best practices for ensuring system reliability during critical system outages.

Master the setup of enterprise-grade Role-Based Access Control (RBAC) within Snowflake. This guide covers defining custom role hierarchies, managing system roles, granting granular object privileges, and integrating advanced security features like SAML/OIDC-based Single Sign-On (SSO) and SCIM for automated user provisioning. Essential for implementing least-privilege access patterns and robust data governance.

Automates the deployment of static web files (HTML, CSS, JS, images) to a specified domain using Cloudflare Pages via the Wrangler CLI. This skill is ideal for hosting Single-Page Applications (React, Vue), landing pages, portfolios, or documentation sites. It stages the site files and injects necessary cache revalidation headers to ensure content freshness after redeployment.

This component is an essential extension for KubeSphere Observability Platform, designed for comprehensive collection, processing, and storage of Kubernetes and KubeSphere audit events. It supports various sinks, including OpenSearch and Doris, and provides an API for querying historical audit data, ensuring robust auditing capabilities for platform operations.

This extension component is integral to the KubeSphere Observability Platform. It provides robust mechanisms for collecting, processing, and storing Kubernetes events using the kube-events-exporter. Users can leverage the detailed event query API to gain deep insights into cluster activity, making it essential for comprehensive system monitoring and observability setup.

A comprehensive guide for simulating a full Software Development Life Cycle (SDLC) using specialized AI roles. It defines protocols for managing cross-functional teams (Dev, QA, DevOps, Product), covering sprint planning, codebase management, bug tracking, and deployment, ensuring context survival across multiple chat sessions.

A comprehensive guide for connecting resource-constrained microcontrollers (like Arduino) to Azure IoT Hub and IoT Edge. It provides structured patterns for secure provisioning, handling intermittent networks (store-and-forward), robust telemetry transmission (MQTT over TLS), and implementing local edge decision-making for industrial and field deployments.

This skill guides users through building comprehensive Smart City and IoT solutions on the Azure platform. It covers the entire solution lifecycle, from initial high-level requirements and defining city domains (e.g., traffic, energy) to designing robust, scalable architectures. Outputs include detailed reference architectures, security checklists, cost strategies, and phased implementation roadmaps for enterprise deployment.