DevOps & Cloud

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

skills in category: 19,589
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Showing 15,193–15,216 of 19,589 skills

Enforce Policy As CodeAImplement policy-as-code enforcement using OPA Gatekeeper or Kyverno to validate and mutate Kubernetes resources according to organizational policies. Covers constraint templates, admission control, audit mode, reporting violations, and integrating with CI/CD pipelines for shift-left policy validation. Use when enforcing resource configuration standards, preventing security misconfigurations such as privileged containers, ensuring compliance before deployment, standardizing naming conventions...devopsgobashVotes: 0GitHub stars: 31
Deploy Ml Model ServingBDeploy machine learning models to production serving infrastructure using MLflow, BentoML, or Seldon Core with REST/gRPC endpoints, implement autoscaling, monitoring, and A/B testing capabilities for high-performance model inference at scale. Use when deploying trained models for real-time inference, setting up REST or gRPC prediction APIs, implementing autoscaling for variable load, running A/B tests between model versions, or migrating from batch to real-time inference.devopspythongoVotes: 0GitHub stars: 31
Configure Log AggregationASet up centralized log aggregation with Loki and Promtail (or ELK stack), including log parsing, label extraction, retention policies, and integration with metrics for correlation. Use when consolidating logs from multiple services into a searchable system, replacing local log files with centralized queryable storage, correlating logs with metrics and traces, implementing structured logging with label extraction, or troubleshooting production incidents requiring cross-service log analysis.devopspythongoVotes: 0GitHub stars: 31
Configure Ingress NetworkingAConfigure Kubernetes Ingress networking with NGINX Ingress Controller, cert-manager for automated TLS certificate management, path-based routing, rate limiting, and multi-domain hosting with SSL termination and load balancing. Use when exposing multiple Kubernetes services via a single load balancer, implementing path-based or host-based routing, automating TLS certificate issuance with Let's Encrypt, or setting up blue-green and canary deployments with traffic splitting.devopsrustgoVotes: 0GitHub stars: 31
Build Ci Cd PipelineADesign and implement multi-stage CI/CD pipelines using GitHub Actions with matrix builds, dependency caching, artifact management, and secret handling. Create workflows that span linting, testing, building, and deployment stages with parallel execution and conditional logic. Use when setting up automated testing and deployment for a new project, migrating from Jenkins or CircleCI to GitHub Actions, implementing matrix builds across platforms, adding build caching, or creating multi-stage pipe...devopsrustgoVotes: 0GitHub stars: 31
Setup Local KubernetesDSet up a local Kubernetes development environment using kind, k3d, or minikube for fast inner-loop development. Covers cluster creation, ingress configuration, local registry setup, and integration with development tools like Skaffold and Tilt for automatic rebuild and redeploy workflows. Use when needing a local Kubernetes environment for development, testing manifests or Helm charts before production deployment, wanting fast automatic rebuild-and-redeploy cycles, or learning Kubernetes with...devopspythongoVotes: 0GitHub stars: 31
Setup Container RegistryAConfigure container image registries including GitHub Container Registry (ghcr.io), Docker Hub, and Harbor with automated image scanning, tagging strategies, retention policies, and CI/CD integration for secure image distribution. Use when setting up a private container registry, migrating from Docker Hub to self-hosted registries, implementing vulnerability scanning in CI/CD pipelines, managing multi-architecture images, enforcing image signing, or configuring automatic cleanup and retention...devopsrustgoVotes: 0GitHub stars: 31
Orchestrate Ml PipelineAOrchestrate end-to-end machine learning pipelines using Prefect or Airflow with DAG construction, task dependencies, retry logic, scheduling, monitoring, and integration with MLflow, DVC, and feature stores for production ML workflows. Use when automating multi-step ML workflows from data ingestion to deployment, scheduling periodic model retraining, coordinating distributed training tasks, or managing retry logic and failure recovery across pipeline stages.devopspythongoVotes: 0GitHub stars: 31
Optimize Cloud CostsAImplement cloud cost optimization strategies for Kubernetes workloads using tools like Kubecost for visibility, right-sizing recommendations, horizontal and vertical pod autoscaling, spot/preemptible instances, and resource quotas. Covers cost allocation, showback reporting, and continuous optimization practices. Use when cloud costs are growing without proportional business value, when resource requests are misaligned with actual usage, when manual scaling leads to over-provisioning, or when...devopsrustgoVotes: 0GitHub stars: 31
Manage Kubernetes SecretsBSecure secrets mgmt in K8s via SealedSecrets for GitOps, External Secrets Operator for cloud secret mgrs, rotation strats. Handle TLS certs, API keys, creds w/ encryption at rest + RBAC. Use storing sensitive config for K8s apps, GitOps needing version-controlled secrets, integrating AWS Secrets Mgr / Azure Key Vault, rotating creds w/o downtime, or migrating plaintext Secrets → encrypted.devopsrustgoVotes: 0GitHub stars: 31
Implement Gitops WorkflowBImplement GitOps continuous delivery using Argo CD or Flux with app-of-apps pattern, automated sync policies, drift detection, and multi-environment promotion. Manage Kubernetes deployments declaratively from Git with automated reconciliation. Use when implementing declarative infrastructure management, migrating from imperative kubectl commands to Git-driven deployments, setting up multi-environment promotion workflows, enforcing code review gates for production, or meeting audit and complia...devopsgobashVotes: 0GitHub stars: 31
Enforce Policy As CodeAImplement policy-as-code enforcement using OPA Gatekeeper or Kyverno to validate and mutate Kubernetes resources according to organizational policies. Covers constraint templates, admission control, audit mode, reporting violations, and integrating with CI/CD pipelines for shift-left policy validation. Use when enforcing resource configuration standards, preventing security misconfigurations such as privileged containers, ensuring compliance before deployment, standardizing naming conventions...devopsgobashVotes: 0GitHub stars: 31
Deploy Ml Model ServingBDeploy machine learning models to production serving infrastructure using MLflow, BentoML, or Seldon Core with REST/gRPC endpoints, implement autoscaling, monitoring, and A/B testing capabilities for high-performance model inference at scale. Use when deploying trained models for real-time inference, setting up REST or gRPC prediction APIs, implementing autoscaling for variable load, running A/B tests between model versions, or migrating from batch to real-time inference.devopspythongoVotes: 0GitHub stars: 31
Configure Log AggregationASet up centralized log aggregation with Loki and Promtail (or ELK stack), including log parsing, label extraction, retention policies, and integration with metrics for correlation. Use when consolidating logs from multiple services into a searchable system, replacing local log files with centralized queryable storage, correlating logs with metrics and traces, implementing structured logging with label extraction, or troubleshooting production incidents requiring cross-service log analysis.devopspythongoVotes: 0GitHub stars: 31
Configure Ingress NetworkingAConfigure Kubernetes Ingress networking with NGINX Ingress Controller, cert-manager for automated TLS certificate management, path-based routing, rate limiting, and multi-domain hosting with SSL termination and load balancing. Use when exposing multiple Kubernetes services via a single load balancer, implementing path-based or host-based routing, automating TLS certificate issuance with Let's Encrypt, or setting up blue-green and canary deployments with traffic splitting.devopsrustgoVotes: 0GitHub stars: 31
Build Ci Cd PipelineADesign and implement multi-stage CI/CD pipelines using GitHub Actions with matrix builds, dependency caching, artifact management, and secret handling. Create workflows that span linting, testing, building, and deployment stages with parallel execution and conditional logic. Use when setting up automated testing and deployment for a new project, migrating from Jenkins or CircleCI to GitHub Actions, implementing matrix builds across platforms, adding build caching, or creating multi-stage pipe...devopsrustgoVotes: 0GitHub stars: 31
Setup Service MeshCDeploy and configure a service mesh (Istio or Linkerd) to enable secure service-to-service communication, traffic management, observability, and policy enforcement in Kubernetes clusters. Covers installation, mTLS, traffic routing, circuit breaking, and integration with monitoring tools. Use when microservices need encrypted service-to-service communication, fine-grained traffic control for canary or A/B deployments, observability across all service interactions without application changes, o...devopsgobashVotes: 0GitHub stars: 31
Setup Local KubernetesDSet up a local Kubernetes development environment using kind, k3d, or minikube for fast inner-loop development. Covers cluster creation, ingress configuration, local registry setup, and integration with development tools like Skaffold and Tilt for automatic rebuild and redeploy workflows. Use when needing a local Kubernetes environment for development, testing manifests or Helm charts before production deployment, wanting fast automatic rebuild-and-redeploy cycles, or learning Kubernetes with...devopspythongoVotes: 0GitHub stars: 31
Setup Container RegistryAConfigure container image registries including GitHub Container Registry (ghcr.io), Docker Hub, and Harbor with automated image scanning, tagging strategies, retention policies, and CI/CD integration for secure image distribution. Use when setting up a private container registry, migrating from Docker Hub to self-hosted registries, implementing vulnerability scanning in CI/CD pipelines, managing multi-architecture images, enforcing image signing, or configuring automatic cleanup and retention...devopsrustgoVotes: 0GitHub stars: 31
Orchestrate Ml PipelineAOrchestrate end-to-end machine learning pipelines using Prefect or Airflow with DAG construction, task dependencies, retry logic, scheduling, monitoring, and integration with MLflow, DVC, and feature stores for production ML workflows. Use when automating multi-step ML workflows from data ingestion to deployment, scheduling periodic model retraining, coordinating distributed training tasks, or managing retry logic and failure recovery across pipeline stages.devopspythongoVotes: 0GitHub stars: 31
Optimize Cloud CostsAImplement cloud cost optimization strategies for Kubernetes workloads using tools like Kubecost for visibility, right-sizing recommendations, horizontal and vertical pod autoscaling, spot/preemptible instances, and resource quotas. Covers cost allocation, showback reporting, and continuous optimization practices. Use when cloud costs are growing without proportional business value, when resource requests are misaligned with actual usage, when manual scaling leads to over-provisioning, or when...devopsrustgoVotes: 0GitHub stars: 31
Manage Kubernetes SecretsBImplement secure secrets management in Kubernetes using SealedSecrets for GitOps, External Secrets Operator for cloud secret managers, and rotation strategies. Handle TLS certificates, API keys, and credentials with encryption at rest and RBAC controls. Use when storing sensitive configuration for Kubernetes applications, implementing GitOps where secrets must be version-controlled, integrating with AWS Secrets Manager or Azure Key Vault, rotating credentials without downtime, or migrating fr...devopsrustgoVotes: 0GitHub stars: 31
Implement Gitops WorkflowBImplement GitOps continuous delivery using Argo CD or Flux with app-of-apps pattern, automated sync policies, drift detection, and multi-environment promotion. Manage Kubernetes deployments declaratively from Git with automated reconciliation. Use when implementing declarative infrastructure management, migrating from imperative kubectl commands to Git-driven deployments, setting up multi-environment promotion workflows, enforcing code review gates for production, or meeting audit and complia...devopsgobashVotes: 0GitHub stars: 31
Enforce Policy As CodeAImplement policy-as-code enforcement using OPA Gatekeeper or Kyverno to validate and mutate Kubernetes resources according to organizational policies. Covers constraint templates, admission control, audit mode, reporting violations, and integrating with CI/CD pipelines for shift-left policy validation. Use when enforcing resource configuration standards, preventing security misconfigurations such as privileged containers, ensuring compliance before deployment, standardizing naming conventions...devopsgobashVotes: 0GitHub stars: 31