Expertise

Technical depth across the systems enterprise teams already run.

DKRS Digital Partners helps organizations modernize the platforms behind digital transformation: cloud foundations, secure delivery, infrastructure automation, Kubernetes, observability, FinOps, data engineering, and AI workload infrastructure.

Technology Coverage

Architecture-first expertise across enterprise technology stacks.

The value is not a tool list. It is knowing how to connect tools into secure, governed, automated, observable, and cost-aware platforms that teams can operate at scale.

Cloud & Hybrid

Enterprise architecture across AWS, Azure, Google Cloud, private connectivity, landing zones, identity, network, and operating guardrails.

AWSAzureGoogle CloudVMwareDirect ConnectExpressRouteCloud InterconnectPrivate DNSTransit GatewayIAM/RBACLanding ZonesCloud NAT

DevSecOps & Release

Pipeline-as-code and governed release systems across enterprise CI/CD, AWS/GCP cloud-native delivery, security scanning, approval gates, evidence, and progressive delivery.

GitLab CI/CDGitHub ActionsJenkinsBambooIBM UCDAzure DevOpsAWS CodePipelineAWS CodeBuildAWS CodeDeployGoogle Cloud BuildGoogle Cloud DeployHarness

IaC & GitOps

Infrastructure and platform engineering as code with module systems, drift control, policy checks, and declarative deployment.

TerraformOpenTofuTerragruntAnsiblePackerArgo CDFlux CDHelmKustomizeOPACheckovConftest

Platform Runtime

Production container and Kubernetes platforms with multi-cluster operations, security, lifecycle management, and developer self-service.

KubernetesEKSGKEAKSRancherRKERKE2OpenShiftDockerPod SecurityIngressNetwork Policies

Observability & FinOps

Cloud-native telemetry, SLOs, dashboards, incident workflows, cost allocation, forecasting, rightsizing, and cloud financial governance.

PrometheusLokiGrafanaOpenTelemetryCloudWatchAzure MonitorGoogle Cloud OperationsKubecostBudgetsAnomaly DetectionShowbackChargeback

Data Engineering

Cloud data platforms for batch, streaming, lakehouse, orchestration, quality, lineage, DataOps automation, and analytics governance.

DatabricksApache SparkAirflowKafkaBigQuerySnowflakeRedshiftAzure SynapseDataflowdbtSchema GovernanceData Quality Gates

AI Infrastructure

Infrastructure for AI workloads, GPU-enabled platforms, MLOps, model serving, secure data access, vector systems, and workload observability.

Vertex AIAmazon SageMakerAzure Machine LearningKubeflowMLflowNVIDIA GPU OperatorRayVector DatabasesModel RegistryGPU Cost GuardrailsAI Workload TelemetryMLOps Pipelines

Security & Governance

Security controls for least privilege, zero trust, identity, secrets, encryption, posture management, compliance evidence, audit trails, and continuous validation.

Least PrivilegeZero Trust ArchitectureJIT AccessVaultTrivytfsecSemgrepSonarQubeOWASP Dependency-CheckAWS Security HubGuardDutyAzure Defender

Capability Depth

From advisory to production-ready implementation.

Support can cover strategy, architecture review, reference design, automation buildout, platform modernization, security guardrails, release governance, observability, and operating model enablement.

Cloud Governance

Cloud Operating Model

Multi-cloud & Hybrid

Cloud Operating Model

DevSecOps

DevSecOps & Delivery

Pipeline as Code

DevSecOps & Delivery

GitOps

DevSecOps & Delivery

IaC Automation

Platform & Runtime

Kubernetes Platforms

Platform & Runtime

Security Automation

DevSecOps & Delivery

Observability

Operations & Economics

FinOps

Operations & Economics

Data Engineering

Data & AI

AI Infrastructure

Data & AI