DevOps & Cloud

Deployment, cloud, containers, CI/CD, monitoring, and infrastructure

skills in category: 20,326
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Showing 8,425–8,448 of 20,326 skills

Google Cloud Storage BasicsB**Trigger**: Use when working with Google Cloud Google Cloud Storage — setup, configuration, and best practices. Google Cloud Storage (GCS) is a managed service for storing data as objects at any scale. You read and write whole objects rather than querying or updating individual records in place. It stores immutable objects in buckets with strong global consistency, offers multiple storage classes and location types to balance cost, performance, and availability, and integrates with IAM for f...devopspythongoVotes: 0GitHub stars: 2
Google Cloud Solution Rag Enterprise Search Gke SqldbADiscovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector databa...devopsgosqlVotes: 0GitHub stars: 2
Google Cloud Solution N Tier Serverless Web AppAGuides agents to interactively discover customer requirements for a Secure n-tier serverless web application and generate a tailored cloud multi-product solution that incorporates opinionated best practices and architecture guidance. Use when users need agentic assistance with designing and creating a multi-product solution in the cloud for Secure n-tier serverless web application. Don't use when designing VM or GKE-based architectures or when not using Google Cloud.devopspythongoVotes: 0GitHub stars: 2
Google Cloud Solution ArchitectureA**Trigger**: Use when working with Google Cloud Google Cloud Solution Architecture — setup, configuration, and best practices.devopsgogcpVotes: 0GitHub stars: 2
Google Cloud Solution Agentic Analytics Spark Knowledge CatalogADiscovers requirements and generates guidance to design and deploy a governed, secure agentic-analytics solution for data that's distributed across Google Cloud, other cloud providers, or on-premises. Data that's outside Google Cloud (such as data from Databricks, Snowflake, Salesforce, SAP, or Oracle systems) is accessed through federation mechanisms such as Apache Iceberg, other "zero-copy ETL" methods, or remote query push-down. Use this skill when designing an architecture for efficient a...devopsrustgoVotes: 0GitHub stars: 2
Google Cloud Solution Agentic Ai Borderless Data LakehouseAGuides agents to discover requirements and design a governed, secure borderless open data lakehouse with agentic AI integration. Use when designing a multi-product architecture that connects data silos to AI agents, joining data across clouds, or running federated queries across Google Cloud and external data sources, including on-premises or other cloud providers. Don't use for simple single-cloud data warehouses or non-AI workloads.devopsgogcpVotes: 0GitHub stars: 2
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Google Cloud Recipe Foundation BuilderA**Trigger**: Use when working with Google Cloud Google Cloud Recipe Foundation Builder — setup, configuration, and best practices. > [!WARNING] This skill is currently in a preview state. It will deploy a secure > foundation, but does not have all advanced features. Users who want more > options should visit > [Google Cloud Setup](https://docs.cloud.google.com/docs/enterprise/cloud-setup). This skill guides the setup of a secure, enterprise-grade Google Cloud landing zone foundation. It estab...devopsgobashVotes: 0GitHub stars: 2
Google Cloud Global Frontend ConfigurationAGuides agents through a structured 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to opinionated best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage buckets, Comp...devopsgoshellVotes: 0GitHub stars: 2
Gke Workload SecurityA**Trigger**: Use when working with GKE Workload Security — Google Kubernetes Engine configuration and management. This skill provides workflows and best practices for securing GKE workloads. It covers security auditing, Identity and Access Management (Workload Identity), Network Security (Network Policies), and Node Security.devopsrustgoVotes: 0GitHub stars: 2
Gke Workload ScalingA**Trigger**: Use when working with GKE Workload Scaling — Google Kubernetes Engine configuration and management. This skill provides workflows and best practices for scaling applications on Google Kubernetes Engine (GKE). It covers manual scaling, Horizontal Pod Autoscaling (HPA), and Vertical Pod Autoscaling (VPA).devopsgobashVotes: 0GitHub stars: 2
Gke UpgradesA**Trigger**: Use when working with GKE Upgrades — Google Kubernetes Engine configuration and management. Produce clear, actionable documents — upgrade plans, runbooks, or checklists — tailored to the user's environment. Output should be specific to their cluster mode, release channel, version, and workload types rather than generic advice. Always frame guidance around the auto-upgrade model: auto-upgrade with maintenance windows and exclusions is the preferred control mechanism.devopsgonodeVotes: 0GitHub stars: 2
Gke Service NetworkingA**Trigger**: Use when working with GKE Service Networking — Google Kubernetes Engine configuration and management. This skill provides workflows for exposing applications running on GKE securely to the internet or internal networks.devopsgonodeVotes: 0GitHub stars: 2
Gke ReliabilityA**Trigger**: Use when working with GKE Reliability — Google Kubernetes Engine configuration and management. This reference covers high availability and reliability configuration for GKE clusters and workloads. > **MCP Tools:** `get_cluster`, `get_k8s_resource`, `describe_k8s_resource`, > `apply_k8s_manifest`, `list_k8s_events`devopsgonodeVotes: 0GitHub stars: 2
Gke ProductionizeAUse when assessing and preparing GKE clusters and workloads for production readiness.devopsgobashVotes: 0GitHub stars: 2
Gke Platform SecurityA**Trigger**: Use when working with GKE Platform Security — Google Kubernetes Engine configuration and management. This reference covers platform-level security hardening and cluster configuration for Google Kubernetes Engine (GKE). For workload-level security controls (such as Workload Identity Service Account bindings, SecretProviderClass volume mounts, Network Policies, and Pod Security Standards), refer to the `gke-workload-security` skill. > **MCP Tools:** `gke:get_cluster`, `k8s:check_k8...devopsgobashVotes: 0GitHub stars: 2
Gke ObservabilityA**Trigger**: Use when working with GKE Observability — Google Kubernetes Engine configuration and management. This reference covers monitoring, logging, and metrics configuration for GKE. The golden path enables comprehensive observability including control-plane metrics. > **MCP Tools:** `gke:get_cluster`, `gke:list_k8s_events`, `gke:get_k8s_logs`, > `gke:get_k8s_cluster_info`, `gke:describe_k8s_resource`. **CLI-only:** `gcloud > container clusters update --monitoring=...`, `gcloud logging r...devopsgobashVotes: 0GitHub stars: 2
Gke MultitenancyAThis reference covers enterprise multi-tenancy patterns on GKE, including namespace isolation, RBAC planning, resource quotas, and network segmentation. > **MCP Tools:** `apply_k8s_manifest`, `get_k8s_resource`, `check_k8s_auth`, > `describe_k8s_resource`, `delete_k8s_resource`devopsgobashVotes: 0GitHub stars: 2
Gke Manifest GenerationA**Trigger**: Use when working with GKE Manifest Generation — Google Kubernetes Engine configuration and management. This skill provides guidelines, tooling integration, and templates to translate natural language descriptions or application code changes into secure, compliant, and cost-effective Kubernetes YAML manifests optimized for both GKE Autopilot and GKE Standard clusters.devopspythongoVotes: 0GitHub stars: 2
Gke InferenceAThis reference covers deploying AI/ML inference workloads on GKE using Google's Inference Quickstart (GIQ) and best practices for LLM serving. > **MCP Tools:** `apply_k8s_manifest`, `get_k8s_resource`, `get_k8s_logs`, > `get_k8s_rollout_status`, `describe_k8s_resource`, `list_k8s_events`. > **CLI-only:** `gcloud container ai profiles *`devopsgobashVotes: 0GitHub stars: 2
Gke Golden PathA**Trigger**: Use when working with GKE Golden Path — Google Kubernetes Engine configuration and management. The golden path is the recommended Autopilot configuration for production clusters. It defines sensible defaults — when the user requests different settings, apply them and note relevant trade-offs. > **MCP Tools:** `get_cluster`, `create_cluster`, `update_cluster`devopsgonodeVotes: 0GitHub stars: 2
Gke Cost OptimizationA**Trigger**: Use when working with GKE Cost Optimization — Google Kubernetes Engine configuration and management. This reference covers strategies and workflows for reducing Google Kubernetes Engine (GKE) costs while maintaining a secure and reliable posture. > **MCP Tools:** `get_k8s_resource`, `describe_k8s_resource`, > `apply_k8s_manifest`, `patch_k8s_resource`, `get_cluster`devopsgobashVotes: 0GitHub stars: 2
Gke Cost AnalysisA**Trigger**: Use when working with GKE Cost Analysis — Google Kubernetes Engine configuration and management. This skill provides guidance on answering natural language questions about GKE-related costs, billing reports, and utilization analysis.devopsgobashVotes: 0GitHub stars: 2
Gke Compute ClassesA Guidance on configuring, optimizing, and troubleshooting GKE ComputeClasses.devopsrustgoVotes: 0GitHub stars: 2
Gke Cluster CreationA**Trigger**: Use when working with GKE Cluster Creation — Google Kubernetes Engine configuration and management. This reference guides creating Google Kubernetes Engine (GKE) clusters by providing a set of best-practice templates and guiding through mode selection and customization. The **golden path Autopilot** configuration is the default for all new clusters. > **MCP Tools:** `list_clusters`, `create_cluster`, `get_cluster`, > `list_operations`, `get_operation`devopsgobashVotes: 0GitHub stars: 2