Services
Platform engineering, cloud architecture and cloud engineering, Kubernetes, DevOps, DevSecOps, multi-cloud, security, cloud cost optimization, infrastructure as code, GitOps, observability, and SRE services for teams that need reliability, scalability, resilience, automation, and clear operational ownership.
Explore Service Areas
This page provides the overview. These pages go deeper into the service areas clients most often ask about.
Platform Engineering Consulting
Internal developer platforms, paved paths, self-service workflows, and platform operating models for teams that need repeatable, scalable delivery.
Cloud Architecture Consulting
Landing zones, shared services, managed Kubernetes, resilience, and cloud cost governance across AWS, Azure, and GCP.
Kubernetes Consulting
Kubernetes platform design, cluster operations, upgrades, governance, and application onboarding across OpenShift and managed cloud services.
Multi-Cloud Architecture
Cross-cloud workload placement, disaster recovery, data movement, and resilient operating models spanning AWS, Azure, GCP, and hybrid environments.
DevSecOps Consulting
Security controls embedded into delivery pipelines, Kubernetes platforms, and infrastructure workflows without losing engineering momentum.
Observability & SRE Consulting
Metrics, logs, traces, alerting, service reliability practices, and operational handover for scalable production systems.
Platform Engineering
Design internal platforms and paved paths that let engineering teams ship safely and with less friction.
What's included
- Internal developer platform (IDP) design and implementation
- Backstage developer portal setup and plugin development
- Golden path templates and paved roads for engineering teams
- Self-service infrastructure with compliance guardrails
- Platform team operating model and governance
Cloud Architecture
Cloud architecture and cloud engineering for landing zones, shared services, and managed platforms designed for security, resilience, scalability, operational clarity, and disciplined cloud spend across AWS, Azure, and GCP.
What's included
- AWS, Azure, and GCP landing zones and shared services design
- Account, subscription, and project structure with guardrails
- EKS, AKS, and GKE platform deployment and onboarding patterns
- Cross-region and cross-cloud disaster recovery architecture
- Identity, network, security, cost governance, and FinOps baselines
Infrastructure as Code
Version-controlled, auditable infrastructure that reduces drift and manual effort. Every change is reviewable and every environment reproducible.
What's included
- Terraform module library design
- Pulumi for complex multi-language setups
- Ansible for configuration management
- Policy-as-code with OPA and Sentinel
- CloudFormation and CDK for AWS-native teams
CI/CD & GitOps
Delivery workflows that shorten feedback loops and improve release confidence, with GitOps controls for traceability and rollback.
What's included
- GitHub Actions, GitLab CI, Jenkins pipeline design
- GitOps with ArgoCD and Flux
- Automated testing integration and reporting
- Blue/green and canary deployment strategies
- Release management and rollback automation
Security & Compliance
Security practices integrated throughout delivery, from secrets management and scanning to policy controls and compliance support when needed.
What's included
- SAST/DAST integration in pipelines
- Secret management with HashiCorp Vault
- Container and dependency vulnerability scanning
- SBOM generation and software supply chain security
- SOC 2, ISO 27001, and FedRAMP readiness support
Observability & SRE
Observability and SRE practices that improve signal quality, clarify service ownership, and support faster, more disciplined production response.
What's included
- Prometheus, Grafana, Loki, Tempo, and OpenTelemetry stack design
- Datadog and New Relic rollout for infrastructure and application telemetry
- Log, trace, metric, and service-tagging standards for production support
- SLOs, alerting models, dashboards, and incident-response workflows
- Runbooks, on-call operating practices, and observability handover
Looking for delivery examples? Review the platform engineering, cloud architecture, Kubernetes, multi-cloud, and observability projects page to see how these services have been applied in real environments.
Our Engagement Model
Defined scope, clear communication, and delivery oriented toward reliability, scalability, resilience, and operational excellence.
Discovery
A focused session to understand the current environment, delivery constraints, and objectives.
Proposal
A scoped statement of work with milestones, deliverables, assumptions, and commercial terms.
Delivery
Embedded collaboration with your engineering organization, with regular checkpoints and transparent progress.
Handover
Documentation, knowledge transfer, and optional advisory support after delivery.
Discuss a specific initiative
Share the environment, constraints, and target outcome, and Ideamics will outline a practical path forward.
Get in Touch