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Found 17 Skills
SaaS architecture, multi-tenancy, and subscription management
Grafana Mimir scalable long-term metrics storage. Covers architecture (distributor/ingester/compactor/querier/ query-frontend/store-gateway/ruler), deployment modes (monolithic/microservices), configuration, Prometheus remote write, PromQL querying, multi-tenancy, compaction, and operations. Use when working with Mimir for metrics storage, scaling Prometheus, configuring Mimir clusters, writing PromQL, or debugging Mimir.
Dominio de arquitectura SaaS para Senior Full-Stack Developer. Usar cuando el usuario necesite explicar arquitectura SaaS, multi-tenancy, disenar sistemas escalables, evaluar trade-offs arquitectonicos, o preparar respuestas sobre diseño de sistemas. Activa con palabras como SaaS, multi-tenant, arquitectura, escalabilidad, tenant isolation, subscription, billing, feature flags, scaling. Especializado en plataformas como HostelOS y Digitaliza.
Manage vCluster (virtual Kubernetes clusters) instances using vind. Use when creating, managing, or operating lightweight virtual clusters for development, testing, or multi-tenancy.
ABP Framework cross-cutting patterns including authorization, background jobs, distributed events, multi-tenancy, and module configuration. Use when: (1) defining permissions, (2) creating background jobs, (3) publishing/handling distributed events, (4) configuring modules.
Self-contained deploy automation — invoke directly, do not decompose. Deploys a Vibes app to exe.dev VM hosting. Uses nginx on persistent VMs with SSH automation. Supports client-side multi-tenancy via subdomain-based Fireproof database isolation.
Add production-ready authorization (RBAC, ABAC, ReBAC) to Convex apps with O(1) permission checks. Use when implementing roles, permissions, access control, multi-tenancy, or relationship-based authorization in a Convex project. Inspired by Google Zanzibar / SpiceDB.
Generate complete production-ready SaaS boilerplate with authentication, database schemas, billing integration (Stripe), multi-tenancy, API routes, dashboard UI, and deployment configuration. Supports Next.js App Router, TypeScript, Tailwind, shadcn/ui, Drizzle ORM, and multiple auth/payment providers. Use when starting a new SaaS product, subscription app, or multi-tenant platform.
Multi-tenant application architecture patterns. Use when working with multi-tenant systems, tenant isolation, or when user mentions multi-tenancy, tenants, tenant scoping, tenant isolation, multi-tenant.
Plan, create, and configure production-ready Google Kubernetes Engine (GKE) clusters using the golden path Autopilot configuration. Covers Day-0 checklist, Autopilot vs Standard, networking (private clusters, VPC-native, Gateway API), security (Workload Identity, Secret Manager, RBAC hardening), observability, scaling, cost optimization, and AI/ML inference. WHEN: create GKE cluster, provision GKE environment, design GKE networking, secure GKE, optimize GKE cost, GKE autoscaling, GKE inference, GKE upgrade, GKE observability, GKE multi-tenancy, GKE batch, GKE HPC, GKE compute class.
Expert Kubernetes architect specializing in cloud-native infrastructure, advanced GitOps workflows (ArgoCD/Flux), and enterprise container orchestration. Masters EKS/AKS/GKE, service mesh (Istio/Linkerd), progressive delivery, multi-tenancy, and platform engineering. Handles security, observability, cost optimization, and developer experience. Use PROACTIVELY for K8s architecture, GitOps implementation, or cloud-native platform design.
Grafana Tempo distributed tracing backend. Covers TraceQL query language (span selectors, attribute scopes, pipeline operators, structural operators, metrics functions), trace ingestion via OTLP/Jaeger/Zipkin, Tempo architecture (distributor/ingester/compactor/querier/metrics-generator), full configuration reference with YAML, metrics-from-traces (span metrics, service graphs, TraceQL metrics), deployment modes (monolithic/microservices/Helm/Kubernetes), multi-tenancy, performance tuning, caching, and HTTP API. Use when working with distributed traces, writing TraceQL queries, deploying Tempo, configuring trace pipelines, or setting up Grafana-Tempo integrations (traces-to-logs, traces-to-metrics, traces-to-profiles).