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DevOps & Cloud
Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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Showing 10,969–10,992 of 20,283 skills
- Gcp GkeUse when working with Gcp Gke — google Kubernetes Engine cluster operations, node pool management, workload analysis, autopilot configuration, and upgrade planning via gcloud CLI.Votes: 0GitHub stars: 6
- Gcp Firestore DeepUse when working with Gcp Firestore Deep — google Cloud Firestore document and collection analysis, index management, security rules review, usage monitoring, and performance diagnostics via gcloud CLI.Votes: 0GitHub stars: 6
- Gcp Cloud TraceUse when working with Gcp Cloud Trace — google Cloud Trace latency analysis, trace exploration, sampling configuration, and span diagnostics via gcloud CLI.Votes: 0GitHub stars: 6
- Gcp Cloud StorageUse when working with Gcp Cloud Storage — google Cloud Storage bucket analysis, lifecycle rule management, access control configuration, transfer service operations, and storage class optimization via gsutil and gcloud CLI.Votes: 0GitHub stars: 6
- Gcp Cloud RunUse when working with Gcp Cloud Run — google Cloud Run service management, revision traffic splitting, scaling configuration, concurrency tuning, and container diagnostics via gcloud CLI.Votes: 0GitHub stars: 6
- Gcp Cloud LoggingUse when working with Gcp Cloud Logging — google Cloud Logging log analysis, log-based metrics, sink management, exclusion filters, and log routing configuration via gcloud CLI.Votes: 0GitHub stars: 6
- Gcp Cloud FunctionsUse when working with Gcp Cloud Functions — google Cloud Functions management, execution analysis, scaling configuration, event trigger inspection, and runtime diagnostics via gcloud CLI.Votes: 0GitHub stars: 6
- Gcp Cloud DeployUse when working with Gcp Cloud Deploy — google Cloud Deploy delivery pipeline management, release tracking, rollout status monitoring, approval workflows, and deployment diagnostics via gcloud CLI.Votes: 0GitHub stars: 6
- Gcp Cloud BuildUse when working with Gcp Cloud Build — google Cloud Build trigger management, build history analysis, worker pool configuration, artifact management, and CI/CD pipeline diagnostics via gcloud CLI.Votes: 0GitHub stars: 6
- Gcp Bigquery DeepUse when working with Gcp Bigquery Deep — google BigQuery job analysis, slot utilization, storage optimization, materialized views, BI Engine capacity, and query performance diagnostics via bq CLI and gcloud.Votes: 0GitHub stars: 6
- Gcp Artifact RegistryUse when working with Gcp Artifact Registry — google Artifact Registry repository management, vulnerability scanning analysis, cleanup policy configuration, and artifact lifecycle management via gcloud CLI.Votes: 0GitHub stars: 6
- Azure SqlUse when working with Azure Sql — azure SQL Database DTU/vCore analysis, query performance insights, elastic pool management, geo-replication status, and database health monitoring via Azure CLI.Votes: 0GitHub stars: 6
- Azure PolicyUse when working with Azure Policy — azure Policy compliance assessment, policy and initiative assignment management, remediation task tracking, and definition analysis via Azure CLI.Votes: 0GitHub stars: 6
- Azure FunctionsUse when working with Azure Functions — azure Functions app analysis, execution metrics, consumption plan monitoring, scaling configuration, and deployment management via Azure CLI.Votes: 0GitHub stars: 6
- Azure Cosmos DbUse when working with Azure Cosmos Db — azure Cosmos DB throughput analysis, partition key distribution, consistency levels, metrics monitoring, and database management via Azure CLI.Votes: 0GitHub stars: 6
- Azure Container AppsUse when working with Azure Container Apps — azure Container Apps revision management, scaling rules, Dapr integration, ingress configuration, and environment health via Azure CLI.Votes: 0GitHub stars: 6
- Azure App ServiceUse when working with Azure App Service — azure App Service web app health monitoring, deployment slot management, scaling configuration, and application settings analysis via Azure CLI.Votes: 0GitHub stars: 6
- Azure AksUse when working with Azure Aks — azure Kubernetes Service (AKS) cluster management, node pool status, addon management, upgrade planning, and health diagnostics via Azure CLI.Votes: 0GitHub stars: 6
- AwsUse when working with Aws — mANDATORY parallel execution patterns (30x speedup), CloudWatch statistics syntax, Cost Explorer aggregation, output token limits, and common pitfalls.Votes: 0GitHub stars: 6
- Aws SesUse when working with Aws Ses — aWS SES sending statistics, bounce and complaint rate analysis, identity management, configuration set monitoring, and deliverability tracking. Covers sending quota utilization, suppression list management, DKIM/SPF status, and reputation dashboard metrics.Votes: 0GitHub stars: 6
- Aws LambdaUse when working with Aws Lambda — aWS Lambda function analysis, invocation metrics, cold start analysis, layer management, and concurrency tracking. Covers function configuration review, error rate analysis, duration percentiles, provisioned concurrency utilization, and deployment package optimization.Votes: 0GitHub stars: 6
- Aws EventbridgeUse when working with Aws Eventbridge — aWS EventBridge event bus management, rule analysis, target health monitoring, and schema registry exploration. Covers event pattern matching, rule invocation metrics, dead-letter queue analysis, cross-account event routing, and event replay.Votes: 0GitHub stars: 6
- Aws Elasticache DeepUse when working with Aws Elasticache Deep — aWS ElastiCache deep analysis for Redis and Memcached clusters, replication health, failover analysis, and performance metrics. Covers node-level metrics, memory utilization, cache hit rates, eviction tracking, connection analysis, and engine-specific diagnostics.Votes: 0GitHub stars: 6
- Aws EksUse when working with Aws Eks — aWS EKS cluster management, nodegroup status, addon management, IRSA configuration, and cluster health analysis. Covers Kubernetes version tracking, nodegroup scaling, addon compatibility, IAM role mapping, and control plane logging.Votes: 0GitHub stars: 6