The infrastructure behind systems that scale.
Platform-agnostic across AWS, Google Cloud, and Azure, built on infrastructure as code so every environment is reproducible and every change is tracked.
Platform-agnostic across AWS, Google Cloud, and Azure, built on infrastructure as code so every environment is reproducible and every change is tracked.
DashMindsIQ is platform-agnostic across the three major cloud providers, AWS, Google Cloud, and Microsoft Azure. We select the platform and services based on your specific workload requirements, existing investments, and compliance constraints rather than preferred-provider relationships. Our infrastructure practice is built on infrastructure-as-code and GitOps principles: every environment is reproducible, every change is tracked, and production is never manually configured.
We run production workloads across AWS, Google Cloud, and Microsoft Azure, using each provider's container and serverless services, ECS/EKS/Fargate, GKE/Cloud Run, and AKS/Container Apps, where they fit best. Lambda, Cloud Functions, and Azure Functions handle event-driven and serverless workloads across all three.
Terraform is our default for provisioning cloud resources across all three major providers, with Pulumi or AWS CDK used where a team prefers infrastructure defined in a general-purpose programming language. Ansible and Helm handle configuration management and Kubernetes packaging, and Crossplane or OpenTofu come in for more advanced multi-cloud or open-source requirements.
Docker and Kubernetes are the standard for containerised workloads, and we deploy with ArgoCD or Flux CD so that every change is GitOps-driven and automatically reconciled against a version-controlled source of truth. Istio, Linkerd, and Envoy Proxy come in for service mesh requirements once a system's internal traffic patterns get complex enough to need one.
Prometheus and Grafana form the core of most monitoring stacks we build, and OpenTelemetry gives us a standardised way to instrument tracing, metrics, and logs across every service regardless of language. For clients who prefer a managed observability platform, we work with Datadog, New Relic, or Dynatrace, and Jaeger handles distributed tracing where deep request-level visibility is the priority.
Cloudflare is our default for CDN, WAF, and Zero Trust network access, giving clients DDoS protection and edge performance without a heavy operational lift. AWS CloudFront and Fastly cover cases where a client's infrastructure is already deeply committed to a specific provider, and Tailscale handles secure remote access for distributed teams.
Infracost runs in CI pipelines so engineers see the cost impact of infrastructure changes before they merge, and Kubecost gives ongoing visibility into Kubernetes spending specifically. We pair these with each cloud provider's native tools, AWS Cost Explorer, Google Cloud Billing, and Azure Cost Management, to keep resource tagging and rightsizing recommendations grounded in actual usage.
Every resource defined in Terraform, every change peer-reviewed, production never touched manually.
Audit trails for every infrastructure change, staging and production kept in sync by design, not by discipline.
Resource tagging, rightsizing, and usage-based commitments built in from the first deployment.
For all cloud resource provisioning, reproducible, version-controlled, peer-reviewed infrastructure
For container orchestration with GitOps deployment workflows and automated rollback capability
For standardised distributed tracing, metrics, and logging across all services
For CDN, DDoS protection, WAF, and Zero Trust network access
AWS, GCP, and Azure, selected by workload and compliance requirement rather than by default
Infracost in CI pipelines, Kubecost for Kubernetes cost visibility, and cloud-native budgeting alerts