Skill UI

Provides comprehensive, enterprise-level monitoring for all Power Automate flows across an entire tenant. Using a cached store, it tracks failure rates, run health trends, asset inventory (makers, apps, connections), and compliance reports without hitting API rate limits. Ideal for governance teams needing an aggregated view of platform health and root-cause analysis.

Provides comprehensive guidance on determining the optimal scaling strategy for Qdrant vector databases. Covers when to transition from vertical to horizontal scaling, how to select the right number of nodes and shards, and best practices for setting replication factors to ensure zero-downtime operation and fault tolerance. Also details proper shard management and common scaling pitfalls to avoid.

This guide details securing the CAST AI integration across multiple layers. It covers best practices for API key management (including rotation and secrets storage), implementing least-privilege RBAC using 'kubectl', deploying the Kvisor security agent for runtime scanning, and setting up Kubernetes Network Policies to restrict egress traffic. Use this when hardening production clusters or performing security audits.

A comprehensive guide for deploying BambooHR integrations to a production environment. This checklist covers all critical stages, including pre-deployment authentication checks, API request quality assurance, data integrity validation, security compliance (PII redaction, webhook verification), robust monitoring setup, and detailed rollback procedures. It ensures a smooth and reliable go-live process.

A comprehensive guide to connecting any Kubernetes cluster (EKS, GKE, AKS) to CAST AI for cost optimization, autoscaling, and security monitoring. This skill covers the entire setup process, including generating API keys, installing the CAST AI agent via Helm charts, and integrating the provider using Terraform.

A comprehensive reference architecture guide for deploying and managing CAST AI across multiple Kubernetes clusters (Dev, Staging, Prod). It details best practices for infrastructure provisioning using Terraform, focusing heavily on cost optimization techniques such as autoscaling, spot instance management, and environment-specific resource policies. Ideal for setting up team standards and ensuring reliable, cost-effective deployments.

A comprehensive guide to implementing Role-Based Access Control (RBAC) in ClickHouse. Learn how to manage user authentication, define hierarchical roles, enforce row-level security (RLS) for tenant isolation, restrict data access via column-level grants, and manage resource consumption using quotas and settings profiles. Essential for multi-tenant SaaS and secure data analytics platforms.

This guide outlines best practices for configuring and securing Adobe API access across Development, Staging, and Production environments. It details the use of separate Developer Console projects, implementing least-privilege OAuth scopes, and integrating robust secret management solutions (GCP Secret Manager, AWS Secrets Manager, HashiCorp Vault) into CI/CD pipelines for secure, scalable deployments.

A comprehensive checklist guide for deploying Algolia search services to a production environment. It covers critical steps including index configuration (attributes, ranking), securing API keys (admin vs. search-only), setting up replicas for multiple sort orders, implementing monitoring, and defining graceful degradation/fallback mechanisms. Ideal for go-live and major deployments.

A comprehensive, multi-phase checklist for deploying and validating CAST AI cost optimization and autoscaling features on a production Kubernetes cluster. It guides users through prerequisites, initial monitoring setup (Phase 1), full autoscaling enablement (Phase 2), security hardening (RBAC, secrets), and critical validation commands for safe go-live deployment.

Manages the complete data lifecycle within ClickHouse. Includes setting Time-To-Live (TTL) policies for automatic data expiration, implementing GDPR/CCPA compliant deletion, PII masking, partition management, and building comprehensive audit trails. Essential for robust data governance and compliance.

This comprehensive guide details how to set up end-to-end observability for ClickHouse. It covers extracting key metrics using built-in system tables (e.g., query logs, merge status), integrating the metrics with Prometheus, and finally visualizing performance, throughput, and health indicators on Grafana dashboards. Essential for monitoring production-grade ClickHouse deployments and configuring reliable alerting.