All experience Capability breadth, grounded in systems This map intentionally shows no proficiency scores. Evidence is the systems, integrations, and case studies attached to each technology.
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System preset Azure landing zones to multi-cloud platform Azure, GCP, AWS, and an on-premises lab joined by a hub-and-spoke network while workloads kept runtime dependencies local.
Highlighted in this system View case study System preset GitOps delivery platform A reconciled, multi-cluster delivery layer with explicit ownership handoffs, progressive rollout patterns, and declarative secret references.
Highlighted in this system View case study System preset Observability platform A Grafana-centered telemetry stack that joins metrics, logs, traces, profiles, and external instrumentation for cluster investigation.
Highlighted in this system View case study System preset Cloud foundation Azure landing zones built by rewriting an inherited Pulumi prototype, with a usable development environment in 10 days and staging and production following.
Highlighted in this system View case study System preset Runner platform A controlled image-to-capacity lifecycle for CPU and GPU self-hosted build pools, using validated Packer images and Azure VM scale sets.
Highlighted in this system View case study System preset GPU capacity platform A GKE scheduling policy layer that exposed workload-specific GPU compatibility and provisioning fallbacks through named ComputeClasses.
Highlighted in this system View case study System preset DevBox platform A platform-operated GCP workstation model that joined identity, workload shapes, persistent state, and schedule-aware lifecycle controls.
Highlighted in this system View case study Cloud & infrastructure Azure Applied in the work Built the first landing-zone foundation, retained it as the multi-cloud network hub, and operated build pools there.
Used in Integrated with Related case studies Cloud & infrastructure GCP Applied in the work Added GPU-oriented compute, hosted the platform-management cluster, and automated managed developer workstations.
Used in Integrated with Related case studies Cloud & infrastructure AWS Applied in the work Added as a credit-backed secondary compute environment within the hub-and-spoke platform.
Used in Integrated with Related case studies Cloud & infrastructure Pulumi Applied in the work Used Python programs and stack references to manage landing zones, registries, cluster foundations, runner pools, and DevBoxes.
Used in Integrated with Related case studies Cloud & infrastructure Python Applied in the work Used for Pulumi infrastructure definitions, reusable configuration, and supporting platform automation.
Used in Integrated with Related case studies Runtime & orchestration AKS Applied in the work Provided Kubernetes runtime foundations in Azure for the cloud platform and standardized delivery work.
Used in Integrated with Related case studies Runtime & orchestration GKE Applied in the work Ran GPU workloads and the platform-management cluster, and used ComputeClasses to express capacity fallbacks.
Used in Integrated with Related case studies Runtime & orchestration EKS Applied in the work Included in the standardized multi-cluster GitOps delivery model alongside AKS and GKE.
Used in Integrated with Related case studies Runtime & orchestration Kubernetes Applied in the work Built and operated workload, delivery, policy, and observability capabilities across clusters.
Used in Integrated with Related case studies Runtime & orchestration GKE ComputeClass Applied in the work Generated named capacity policies that matched GPU workload constraints to compatible hardware and provisioning fallbacks.
Used in Integrated with Related case studies Build, artifacts & delivery Azure Pipelines Applied in the work Ran centralized self-hosted build pools, created preview environments, and supported the transition from pipeline delivery to GitOps.
Used in Integrated with Related case studies Build, artifacts & delivery GitHub Actions Applied in the work Integrated internal platform tooling with CI/CD workflows alongside repository-based operational automation.
Used in Integrated with Related case studies Build, artifacts & delivery Packer Applied in the work Built validated base and organization layers for CPU and GPU Azure DevOps runner images.
Used in Integrated with Related case studies Build, artifacts & delivery Azure VMSS Applied in the work Operated separate CPU and GPU self-hosted runner pools with scheduled warm capacity.
Used in Integrated with Related case studies Build, artifacts & delivery Azure Compute Gallery Applied in the work Promoted validated runner images before changing VM scale-set references.
Used in Integrated with Related case studies Build, artifacts & delivery Azure Container Registry Applied in the work Started as the central registry, then became the Azure-local artifact registry after the multi-cloud change.
Used in Integrated with Related case studies Build, artifacts & delivery Artifact Registry Applied in the work Provisioned as GCP-local image storage to remove routine pulls from the inter-cloud network path.
Used in Integrated with Related case studies Build, artifacts & delivery Amazon ECR Applied in the work Provisioned as AWS-local image storage for target-environment publishing and image pulls.
Used in Integrated with Related case studies GitOps & progressive delivery Argo CD Applied in the work Made Git the reconciled source of truth for platform and workload delivery across multiple Kubernetes clusters.
Used in Integrated with Related case studies GitOps & progressive delivery ApplicationSet Applied in the work Generated repeated application definitions across environments and cluster targets.
Used in Integrated with Related case studies GitOps & progressive delivery Helm Applied in the work Packaged workloads and platform dependencies for preview environments and standardized delivery.
Used in Integrated with Related case studies GitOps & progressive delivery Helmfile Applied in the work Managed platform add-ons while keeping their delivery repeatable across environments.
Used in Integrated with Related case studies GitOps & progressive delivery Kustomize Applied in the work Maintained environment-specific configuration overlays without over-templating charts.
Used in Integrated with Related case studies GitOps & progressive delivery Argo Rollouts Applied in the work Configured canary and stable service wiring for controlled workload progression and rollback.
Used in Integrated with Related case studies Networking, identity & secrets Site-to-site VPN & BGP Applied in the work Connected Azure, GCP, AWS, and an on-premises lab through an Azure hub with dynamic route propagation.
Used in Integrated with Related case studies Networking, identity & secrets HashiCorp Vault Applied in the work Operated a self-hosted application-secret source with Kubernetes authentication and local secret materialization.
Used in Integrated with Related case studies Networking, identity & secrets External Secrets Operator Applied in the work Materialized Vault-backed values as native Kubernetes secrets while keeping secret values out of Git.
Used in Integrated with Related case studies Networking, identity & secrets Microsoft Entra ID Applied in the work Provided Azure-based corporate identity, private VPN access, and an identity source for DevBox provisioning.
Used in Integrated with Related case studies Networking, identity & secrets Google OS Login Applied in the work Used managed identity-based access for GCP developer machines instead of distributing SSH keys.
Used in Integrated with Related case studies Observability Grafana Applied in the work Provided the shared investigation surface for metrics, logs, traces, and profiling across Kubernetes environments.
Used in Integrated with Related case studies Observability Prometheus Applied in the work Collected cluster and workload metrics used for dashboards, alerting, and resource-usage visibility.
Used in Integrated with Related case studies Observability Loki Applied in the work Aggregated container logs with Kubernetes metadata for querying alongside workload metrics.
Used in Integrated with Related case studies Observability Tempo Applied in the work Operated distributed tracing for request-level visibility across microservice boundaries.
Used in Integrated with Related case studies Observability Pyroscope Applied in the work Added continuous profiling for instrumented workloads to complement telemetry investigation.
Used in Integrated with Related case studies Observability New Relic Applied in the work Integrated cloud and Kubernetes instrumentation alongside the self-hosted Grafana stack.
Used in Integrated with Related case studies Developer platform & automation Go Applied in the work Built internal operational CLIs, Kubernetes controllers, and DevBox lifecycle tooling around repeatable platform tasks.
Used in Integrated with Related case studies Developer platform & automation Kubernetes controllers Applied in the work Built event-driven controllers that inventory running images and track their lifetime across workloads.
Used in Integrated with Related case studies Developer platform & automation Admission webhooks Applied in the work Built validating and mutating Kubernetes admission controls for workload policy enforcement.
Used in Integrated with Related case studies Developer platform & automation Crossplane Applied in the work Built platform abstractions for standardized infrastructure provisioning from the Kubernetes control plane.
Used in Integrated with Related case studies Developer platform & automation Cloud Scheduler & Functions Applied in the work Used scheduled functions to enforce DevBox start and stop defaults while preserving operator exceptions.
Used in Integrated with Related case studies