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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 10,777–10,800 of 20,283 skills
- Managing Serverless FrameworkUse when working with Serverless Framework — serverless Framework service management. Covers service deployment, function invocation, log streaming, plugin management, stage/region configuration, CloudFormation stack inspection, and offline local development. Use when deploying serverless services, invoking functions, debugging with logs, or managing multi-stage environments.Votes: 0GitHub stars: 6
- Managing Semantic ReleaseUse when working with Semantic Release — semantic-release automated versioning management covering release configuration analysis, release history tracking, commit convention compliance, plugin chain auditing, branch strategy review, and changelog generation monitoring. Use when auditing release pipelines, investigating failed releases, reviewing version bump patterns, or validating commit message conventions.Votes: 0GitHub stars: 6
- Managing SeldonUse when working with Seldon — seldon Core model deployment and inference management on Kubernetes. Covers model deployment, inference graphs, A/B testing, canary rollouts, monitoring, and explainability. Use when deploying ML models to Kubernetes, configuring inference pipelines, managing traffic splitting, or debugging prediction failures.Votes: 0GitHub stars: 6
- Managing Section IoUse when working with Section Io — section.io edge compute and CDN management covering applications, environments, proxy stack configuration, Varnish cache settings, and real-time monitoring. Use when managing Section.io edge applications, analyzing cache performance, configuring proxy stacks, or troubleshooting edge compute delivery.Votes: 0GitHub stars: 6
- Managing Sealed SecretsUse when working with Sealed Secrets — bitnami Sealed Secrets management for Kubernetes, certificate rotation, secret encryption, and controller health. Covers encrypting secrets for Git storage, certificate lifecycle management, namespace-scoped vs cluster-wide secrets, and controller diagnostics. Use when encrypting Kubernetes secrets for GitOps, rotating sealing keys, auditing sealed secrets, or troubleshooting the sealed-secrets controller.Votes: 0GitHub stars: 6
- Managing ScalewayUse when working with Scaleway — scaleway cloud infrastructure management via the scw CLI. Covers instances, Kubernetes (Kapsule), managed databases, object storage, serverless containers, and billing. Use when managing Scaleway resources or checking infrastructure health.Votes: 0GitHub stars: 6
- Managing SaucelabsUse when working with Saucelabs — sauce Labs cloud testing platform monitoring and analysis. Covers test job management, tunnel monitoring, real device testing, build tracking, concurrency analysis, and usage metrics. Use when managing Sauce Labs test sessions, reviewing cross-browser/device results, or monitoring cloud testing infrastructure and tunnels.Votes: 0GitHub stars: 6
- Managing SaltstackUse when working with Saltstack — saltStack configuration management and remote execution. Covers state management, grain data, pillar data, job management, targeting, event system, and orchestration. Use when managing Salt infrastructure, executing remote commands, debugging state failures, or inspecting minion data.Votes: 0GitHub stars: 6
- Managing Salesforce DeepUse when working with Salesforce Deep — advanced Salesforce CRM management including objects, SOQL queries, reports, dashboards, flows, Apex triggers, API usage, org limits, deployment status, and user management. Covers org health monitoring, governor limit tracking, metadata analysis, and integration audit.Votes: 0GitHub stars: 6
- Managing SagemakerUse when working with Sagemaker — aWS SageMaker ML platform management. Covers training jobs, model endpoints, model registry, pipelines, feature store, experiments, and hyperparameter tuning. Use when managing ML training workflows, deploying model endpoints, investigating failed training jobs, or auditing SageMaker resource utilization.Votes: 0GitHub stars: 6
- Managing RunpodUse when working with Runpod — runPod GPU cloud management covering pod inventory, serverless endpoint status, GPU type allocation, template configuration, volume management, spending analysis, and performance metrics. Use for comprehensive RunPod workspace assessment and GPU compute optimization.Votes: 0GitHub stars: 6
- Managing RudderstackUse when working with Rudderstack — rudderStack CDP management — monitor sources, destinations, event delivery, transformations, and pipeline health. Use when debugging event routing, inspecting transformation logic, auditing data flows, or reviewing connection status.Votes: 0GitHub stars: 6
- Managing ReplicateUse when working with Replicate — replicate ML platform management covering model inventory, prediction history, deployment status, webhook configuration, training job analysis, hardware utilization, and billing metrics. Use for comprehensive Replicate workspace assessment and ML inference optimization.Votes: 0GitHub stars: 6
- Managing RenderUse when working with Render — render platform management via the Render API. Covers web services, static sites, background workers, cron jobs, databases, and environment groups. Use when managing Render deployments or checking service health.Votes: 0GitHub stars: 6
- Managing Redis DeepUse when working with Redis Deep — advanced Redis management including cluster topology, sentinel failover, streams analysis, Lua script auditing, module inspection, and memory defragmentation. Covers RDB/AOF persistence tuning, pub/sub diagnostics, client-side caching, and ACL configuration. Read this skill before any advanced Redis operations.Votes: 0GitHub stars: 6
- Managing RayUse when working with Ray — ray distributed computing platform management. Covers cluster management, job submission, Ray Serve deployment, dashboard monitoring, actor management, and resource utilization. Use when managing distributed ML workloads, deploying model serving, investigating job failures, or monitoring Ray cluster health.Votes: 0GitHub stars: 6
- Managing RancherUse when working with Rancher — rancher multi-cluster Kubernetes management. Covers cluster provisioning, project/namespace management, catalog apps, workload monitoring, RBAC, and fleet management. Use when managing Rancher clusters, deploying catalog applications, configuring projects, or monitoring multi-cluster workloads.Votes: 0GitHub stars: 6
- Managing RailwayUse when working with Railway — railway platform management via the railway CLI and Railway API. Covers projects, services, deployments, databases, volumes, and environment variables. Use when managing Railway deployments or checking service health.Votes: 0GitHub stars: 6
- Managing QdrantUse when working with Qdrant — qdrant vector database management, collection health monitoring, shard distribution analysis, and query optimization. Covers collection configuration, HNSW index parameters, quantization settings, snapshot management, and cluster consensus state. Read this skill before any Qdrant operations.Votes: 0GitHub stars: 6
- Managing PuppetUse when working with Puppet — puppet configuration management. Covers catalog compilation, node management, module installation, report analysis, fact inspection, environment management, and resource auditing. Use when managing Puppet infrastructure, debugging catalog failures, inspecting node states, or auditing configuration compliance.Votes: 0GitHub stars: 6
- Managing Pulumi CloudUse when working with Pulumi Cloud — pulumi Cloud stack and deployment management. Covers stack operations, resource inspection, configuration and secrets, deployment history, policy packs (CrossGuard), and team access controls. Use when managing Pulumi stacks, reviewing deployment history, inspecting resource state, or auditing organization policies.Votes: 0GitHub stars: 6
- Managing PrefectUse when working with Prefect — prefect workflow orchestration platform management. Covers flow run monitoring, deployment management, work pool status, automation rules, block configuration, and agent health. Use when checking flow run status, investigating failures, managing deployments, or auditing Prefect infrastructure.Votes: 0GitHub stars: 6
- Managing Prefect DeepUse when working with Prefect Deep — prefect deep workflow orchestration management covering flow inventory, flow run monitoring, deployment health, work pool status, block configuration, automation rules, and agent/worker health checks. Use when investigating flow run failures, analyzing task concurrency, monitoring infrastructure health, or auditing Prefect configurations.Votes: 0GitHub stars: 6
- Managing PostmarkUse when working with Postmark — postmark transactional email service management including server configuration, message streams, delivery statistics, bounce tracking, template management, and sender signature verification. Covers delivery rates, latency metrics, and suppression list monitoring.Votes: 0GitHub stars: 6