DevOps & Cloud Infrastructure Bundle

Infrastructure-as-code, CI/CD pipelines, container orchestration, cloud architecture, and monitoring skills for DevOps professionals.

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Included Skills (90)

  1. Cloud DevOps Orchestrator — This workflow assists engineers in managing cloud infrastructure, container orchestration, and CI/CD pipelines across major cloud providers to streamline cloud-native development processes.
  2. Cloud Run Alert Configuration — The skill configures high‑signal alerting policies for Cloud Run services, jobs, and worker pools, applying seasoned SRE best practices. It enables SREs and DevOps engineers to analyze, recommend, write, or deploy Terraform PromQL alerts that monitor error rates, latency, instance saturation, CPU/memory usage, billable time, job status, and queue backlog. The solution is tailored for Cloud Run workloads and is not applicable to GKE or Compute Engine VMs.
  3. Gke Observability — The Gke Observability skill configures Cloud Logging, Cloud Monitoring, and managed Prometheus for Google Kubernetes Engine clusters, enabling comprehensive metrics collection and alerting. It assists DevOps and site reliability engineers in setting up GKE monitoring, troubleshooting Prometheus issues such as missing metrics or unhealthy scrape targets, and resolving permission errors. The skill is not intended for local application logging frameworks or external APMs outside GKE.
  4. Terraform Infrastructure Architect — This skill provides production-ready, reusable Terraform module patterns to help DevOps engineers standardize and streamline multi-cloud infrastructure provisioning across AWS, Azure, and GCP.
  5. DevOps Infrastructure Architect — This tool assists engineers in designing and reviewing robust CI/CD pipelines, container configurations, and production-ready deployment strategies for scalable cloud-native applications.
  6. GitLab DevSecOps Pipeline — This skill configures automated security scanning within GitLab CI/CD pipelines to help developers and security teams identify vulnerabilities early in the software development lifecycle.
  7. DevOps Infrastructure Automator — This tool assists engineers by automating CI/CD pipeline generation, infrastructure as code scaffolding, and deployment management across major cloud platforms.
  8. Azure DevOps Manager — Streamline Azure DevOps resource management and CI/CD automation for developers using the Azure CLI extension for efficient project and pipeline administration.
  9. GitLab CI Architect — This skill assists DevOps engineers in designing and implementing efficient, scalable GitLab CI/CD pipelines for automated testing, building, and deployment workflows.
  10. Azure Enterprise Infra Planner — The Azure Enterprise Infra Planner generates secure, compliant Azure landing zones from workload descriptions, enabling cloud architects and platform engineers to design networking, identity, security, and multi‑resource topologies. It produces Bicep or Terraform code for hub‑spoke networks, multi‑region disaster‑recovery topologies, VNet firewalls, private endpoints, subscription‑scope deployments, and Azure Backup for VM workloads. This tool streamlines the planning and provisioning of application‑centric workflows in enterprise environments.
  11. GCP Networking Observability — The GCP Networking Observability skill analyzes VPC Flow Logs, firewall logs, Cloud NAT logs, threat logs, and networking metrics to diagnose Google Cloud networking problems. It runs Connectivity Tests for path diagnostics and queries BigQuery linked datasets for high‑volume traffic analysis. Network engineers and DevOps professionals use it to troubleshoot connection failures, latency, packet loss, and to identify top traffic sources.
  12. Google Cloud Networking Observability — The skill analyzes Google Cloud logs, metrics, and diagnostics to pinpoint networking issues such as dropped traffic, packet loss, and latency. Network engineers and DevOps professionals use it to investigate VPC Flow Logs, Private Service Connect, NAT, firewall, and threat logs, and to run connectivity tests for path diagnostics. It delivers precise insights for troubleshooting and cost estimation in GCP networking environments.
  13. Cloud Incident Responder — This skill assists security teams in rapidly containing cloud-native threats by isolating compromised resources and gathering forensic evidence across AWS, Azure, and GCP environments.
  14. Cloud Compliance Auditor — This skill automates cloud environment audits against CIS benchmarks to help security professionals identify misconfigurations and maintain continuous compliance across AWS, Azure, and GCP.
  15. Cloud Incident Containment — This tool enables security responders to rapidly isolate compromised cloud resources and revoke credentials across AWS, Azure, and GCP while preserving forensic evidence.
  16. GitLab Workflow Automator — Streamline GitLab project management, issue tracking, and CI/CD pipeline operations for developers using the Rube MCP integration to enhance productivity.
  17. DevOps Deployment Specialist — Automates containerization, CI/CD pipeline configuration, and production deployment workflows to help developers transition local code into reliable, shippable cloud environments.
  18. Terraform AWS Architect — This skill assists DevOps engineers in designing reusable, production-grade Terraform modules and implementing secure state management strategies for AWS cloud infrastructure.
  19. CI/CD Pipeline Architect — This skill provides architecture patterns for multi-stage CI/CD pipelines, helping DevOps engineers design secure, efficient, and automated deployment workflows with robust approval gates.
  20. Google Cloud Slo Alert Configuration — The skill configures PromQL-based Service Level Objective alerting policies in Google Cloud Monitoring for resources registered in App Hub or specified individually. It generates Terraform output that can be applied to the target environment. This service benefits DevOps and SRE teams who need precise SLO monitoring without creating standard alerting policies.
  21. Pipeline Automation Specialist — Automates the configuration of CI/CD pipelines and quality gates to help developers ensure consistent code quality and reliable deployment strategies.
  22. CI/CD Pipeline Generator — This skill generates and optimizes CI/CD pipelines for GitLab CI and CircleCI, helping developers automate testing, building, and deployment processes.
  23. GKE Cluster Provisioning — Provisions and operates production-ready Google Kubernetes Engine (GKE) clusters, especially using Autopilot, benefiting DevOps and cloud engineers.
  24. Lambda IAM Hardener — This tool helps cloud engineers and security teams implement least-privilege IAM policies to secure AWS Lambda execution roles against unauthorized access.
  25. AWS Cloud Architect — Provides expert AWS architecture design for startups, focusing on serverless, scalable, and cost-effective cloud infrastructure with modern DevOps practices.
  26. GitHub Actions Debugger — This expert CI/CD diagnostic tool analyzes failed GitHub Actions logs to identify root causes and provide precise code fixes for developers.
  27. Cloud Waste Finder — Identifies orphaned, idle, and underutilized cloud resources across AWS, GCP, and Azure to help users optimize cloud spending.
  28. AWS Lambda — The skill enables developers to deploy event‑driven functions in Node.js, Python, Go, Rust, Java, or container images that respond to API Gateway, S3, SQS, DynamoDB streams, and scheduled triggers. It automatically scales from zero to thousands of concurrent executions, charging only for actual invocations. Teams benefit from highly scalable, cost‑efficient compute without server management.
  29. Azure Deploy — The Azure Deploy skill automates the deployment of applications that already contain a .azure/deployment-plan.md and infrastructure files, executing azd up, azd deploy, terraform apply, and az deployment commands with built‑in error recovery. It enables teams to push a prepared application to production on Azure, ensuring a smooth, validated launch. The skill is not used for creating new applications or setting up infrastructure; those tasks are handled by azure-prepare.
  30. AWS Serverless Architect — This skill assists developers in building, deploying, and optimizing production-ready serverless applications using AWS Lambda, API Gateway, and infrastructure-as-code frameworks like SAM or CDK.
  31. Cross-Project Logging Architect — This tool assists cloud engineers in configuring and troubleshooting centralized log routing across multiple Google Cloud projects to ensure efficient, unified observability.
  32. GCP Infrastructure Orchestrator — This skill automates GCP infrastructure design, validation, and deployment workflows for cloud architects using Terraform within the Application Design Center environment.
  33. Azure Monitor Exporter — This tool enables Python developers to export OpenTelemetry traces, metrics, and logs directly to Azure Application Insights for comprehensive cloud monitoring.
  34. Trivy Security Scanner — Automates vulnerability, misconfiguration, and secret scanning for container images and infrastructure code to help DevSecOps teams enforce security gates in CI/CD pipelines.
  35. Fastlane — Fastlane automates mobile app builds, code signing, and deployment for iOS and Android, handling TestFlight and Play Store uploads, screenshot generation, and CI/CD integration. It streamlines the release pipeline, ensuring consistent, repeatable releases. Developers and DevOps teams benefit from reduced manual effort and faster, error‑free deployments.
  36. GCP Binary Authorization — This skill automates GCP Binary Authorization deployment, helping security engineers enforce container supply-chain integrity by validating cryptographic attestations before GKE or Cloud Run deployments.
  37. OPA Policy Automator — Automates policy-as-code enforcement using Open Policy Agent and Gatekeeper to help DevOps engineers secure Kubernetes clusters and CI/CD deployment pipelines.
  38. Pulumi Infrastructure Manager — Assists DevOps engineers in defining and managing cloud infrastructure using Pulumi with familiar programming languages like TypeScript and Python.
  39. Secrets Management Specialist — This tool assists developers and DevOps engineers in implementing secure secret retrieval, workload identity, and automated rotation policies for CI/CD pipeline environments.
  40. Workflow Specification Generator — Generates structured, implementation-agnostic specifications for GitHub Actions workflows to assist DevOps teams in maintaining and understanding complex CI/CD automation processes.
  41. AWS Architecture Designer — Designs scalable and cost-effective AWS architectures using serverless patterns and IaC, assisting startups with cloud infrastructure needs.
  42. Azure Diagnostics — Azure Diagnostics equips engineers with AppLens, Azure Monitor, and resource health to identify and resolve production issues across Azure services. It streamlines troubleshooting for app services, containers, functions, AKS, VMs, and messaging platforms, enabling rapid diagnosis of CPU spikes, deployment failures, connectivity problems, and other operational anomalies. DevOps, platform, and network teams benefit from precise root‑cause analysis and actionable insights that maintain high availability.
  43. GCP Policy Enforcer — This tool automates GCP organization policy implementation via Terraform and gcloud to help security engineers enforce compliance and harden cloud resource configurations.
  44. Cloud Enumeration Assistant — This tool automates CloudFox reconnaissance to help security professionals map attack paths and identify misconfigurations within AWS and Azure cloud environments.
  45. GuardDuty Response Automation — This skill helps security engineers build automated AWS GuardDuty response pipelines using EventBridge and Lambda to accelerate cloud threat remediation and incident response.
  46. GCP Reliability Optimizer — Applies Google Cloud's Well-Architected Framework reliability pillar, helping DevOps engineers build resilient and user-centric production workloads.
  47. Serverless Security Hardener — This tool hardens serverless compute platforms by implementing least-privilege IAM roles, dependency scanning, and runtime monitoring to assist cloud security engineers and developers.
  48. Cloud Build Basics — This skill teaches the fundamentals of Google Cloud Build, covering core concepts, API enablement, and console navigation to the Build History page. It guides learners through the end‑to‑end workflow for creating and manually running a basic build trigger. The training is ideal for developers and DevOps engineers who need a solid foundation in Cloud Build without delving into private pools or complex pipeline architectures.
  49. Cloud Trace Querying — The skill queries Cloud Trace spans, filtering by latency thresholds or error status, and correlates distributed traces with Cloud Logging. It diagnoses latency bottlenecks across Google Cloud services, helping engineers investigate slow requests, analyze trace hierarchies, and resolve latency regressions. The skill is intended exclusively for GCP telemetry and not for non‑GCP data or database query optimization.
  50. Ship Gate — Ship Gate audits a codebase before production, detecting security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues. It blocks deployment until all critical problems are resolved, ensuring only fully vetted code reaches production. Developers and release managers rely on Ship Gate as a dependable go‑live checklist that confirms readiness without requiring CI/CD setup or infrastructure provisioning.
  51. Deployment Pipeline Architect — This skill assists DevOps engineers in designing secure, automated CI/CD pipelines and robust GitOps workflows to ensure reliable and efficient software delivery.
  52. Azure Weights Biases — This SDK enables developers to deploy and manage Weights & Biases machine learning experiment tracking instances directly within the Azure cloud ecosystem.
  53. Container Security Scanner — This skill deploys Trivy to detect vulnerabilities, misconfigurations, and secrets in container images, helping DevSecOps teams secure their CI/CD pipelines and registries.
  54. Serverless Architecture Architect — This skill assists developers in designing and deploying secure, multi-tier serverless web applications on Google Cloud using private networking and infrastructure-as-code best practices.
  55. Azure WeightsBiases Manager — This SDK enables developers to programmatically deploy and manage Weights & Biases machine learning experiment tracking instances directly within Azure cloud environments.
  56. Kubernetes Helm Manager — Automates Kubernetes and Helm chart management, enabling developers and operators to deploy, configure, and manage applications on Kubernetes clusters efficiently.
  57. GCP Auth — The GCP Auth skill configures authentication and authorization for Google Cloud, handling Application Default Credentials, service account impersonation, Workload Identity Federation for GKE and external clouds, and OIDC ID tokens for service‑to‑service communication. It enables developers and operations teams to set up local development access, deploy to Cloud Run, Cloud Functions, or GKE, and securely call private Google Cloud APIs. The skill streamlines secure access across environments, improving deployment speed and reducing configuration errors.
  58. Azure Arize Management — This .NET SDK enables developers to programmatically manage and configure Arize AI Observability and Evaluation resources within their Azure cloud infrastructure.
  59. GCP Security Hardening — This skill helps DevOps engineers and security architects apply Google Cloud's Well-Architected Framework for security hardening and compliance evaluations.
  60. Azure Infrastructure Architect — This tool enables cloud engineers to design, analyze, and deploy Azure infrastructure using natural language, generating interactive architecture diagrams and Bicep templates automatically.
  61. Porter Deployment Assistant — Provides expert guidance for deploying applications on managed Kubernetes clusters using Porter, a PaaS on your cloud account.
  62. Pipeline Automation Architect — This skill helps developers design, implement, and optimize robust CI/CD pipelines for various tech stacks, ensuring efficient build and deployment automation.
  63. Grype — Grype scans container images, directories, and SBOMs for known CVEs, enabling teams to detect vulnerabilities early in CI/CD pipelines. It can fail builds based on severity thresholds, triage findings, and suppress false positives, while uploading SARIF reports to GitHub code scanning for seamless integration. Developers and security engineers use Grype to maintain secure, compliant container deployments.
  64. Supply Chain Auditor — This tool performs comprehensive software supply chain security assessments, including SBOM generation, vulnerability scanning, and CI/CD pipeline integrity verification for development teams.
  65. CI/CD Security Auditor — Automates the identification of supply chain vulnerabilities in GitHub Actions and CI/CD pipelines to help security engineers harden build system configurations.
  66. AWS Context Resolver — This tool automatically detects local AWS configuration settings to ensure accurate environment targeting for developers performing cloud deployments and API operations.
  67. Lambda Powertools Expert — Assists developers in implementing serverless best practices for AWS Lambda functions using the Powertools toolkit.
  68. Serverless Stack Assistant — This skill helps developers build and deploy full-stack serverless applications on AWS using the SST framework.
  69. Azure Python Deployer — This skill automates the deployment of Flask, Django, and FastAPI applications to Azure App Service Linux for developers streamlining their cloud infrastructure workflows.
  70. GitHub Workflow Automator — This tool assists developers and DevOps engineers by automating GitHub operations, PR reviews, and CI/CD pipeline integrations using AI-driven patterns.
  71. Azure Monitor Exporter — This deprecated tool helps Java developers export OpenTelemetry data to Azure Monitor and provides guidance on migrating to the recommended autoconfigure package.
  72. Cloud Logging Configuration Basics — Configure single-project Cloud Logging on Google Cloud: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (_Default) filter, IAM permissions for views (Logs View Accessor, IAM conditions), logs-based metrics, log exclusions, and sampling. Don't use for cross-project logging or multi-project setups.
  73. Cloud Run Manager — This tool helps developers deploy and manage scalable HTTP services, event-driven jobs, and background worker pools on Google Cloud Run infrastructure.
  74. Azure Log Ingestion — This tool enables developers to stream custom logs into Azure Monitor Log Analytics workspaces using the Logs Ingestion API and Python SDK.
  75. Azure Monitor Ingestion — This tool enables Java developers to efficiently send custom logs to Azure Monitor using Data Collection Rules and Data Collection Endpoints.
  76. Cloud Monitoring Generator — This tool generates precise Cloud Monitoring ListTimeSeries API requests and aggregation configurations to assist developers in building accurate observability queries for GCP.
  77. Azure Quota Manager — This tool helps cloud engineers monitor Azure service limits and usage to ensure successful resource deployments and effective capacity planning across regions.
  78. Pipeline Automation Specialist — Streamlines CI/CD pipeline configuration and quality gate enforcement to help developers ensure consistent code quality and reliable deployment processes.
  79. Azure Monitor Query — This legacy Java SDK assists developers in querying Azure Monitor logs and metrics, though migration to newer specialized packages is strongly recommended.
  80. Falco Runtime Security — This skill assists security engineers in deploying and configuring Falco within Kubernetes environments to detect container runtime threats using eBPF and syscall monitoring.
  81. Cloud Run Deployments — Deploys serverless containers on Google Cloud Run, enabling developers to easily manage and scale their applications.
  82. Azure MySQL Manager — This .NET SDK enables developers to programmatically manage, configure, and monitor Azure MySQL Flexible Server deployments within their cloud infrastructure workflows.
  83. Azure PostgreSQL Manager — This SDK enables .NET developers to programmatically manage, configure, and deploy Azure PostgreSQL Flexible Server instances within their cloud infrastructure environments.
  84. Container Vulnerability Scanner — Automates Trivy security scanning within CI/CD pipelines to detect vulnerabilities and enforce quality gates for secure container image deployments.
  85. Azure Monitor Query — This tool enables developers to programmatically query logs and metrics from Azure Monitor and Log Analytics workspaces using Python SDKs.
  86. Azure Monitor Query — This tool enables developers to efficiently query logs and metrics from Azure Monitor and Log Analytics workspaces using Python SDKs.
  87. Azure Monitor Instrumenter — This tool enables developers to quickly configure Application Insights using OpenTelemetry auto-instrumentation for streamlined performance monitoring and telemetry collection in Python applications.
  88. Azure Monitor Ingestion — This Java library enables developers to efficiently send custom logs to Azure Monitor using Data Collection Rules and Data Collection Endpoints.
  89. IaC Security Scanner — Automates security scanning for infrastructure as code to help DevOps teams detect misconfigurations and enforce compliance policies before cloud deployment.
  90. Azure Log Ingestor — This tool enables developers to securely stream custom application logs into Azure Monitor Log Analytics workspaces using the Logs Ingestion API.

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