A structured index of representative delivery work across platform engineering, Kubernetes, cloud architecture, multi-cloud, DevSecOps, and observability. Each project links to a dedicated detail page.
Start with the category that matches your initiative, then open the relevant project page for the implementation details, delivery approach, tools, and handover model.
Cluster architecture, governance, upgrades, application deployment, and operational models across OpenShift and managed Kubernetes environments.
4 projects
Designed and delivered a multi-cluster OpenShift foundation for a public-sector environment that needed repeatable cluster provisioning, controlled upgrades, and a clearer operating model across teams.
Planned and executed a structured OpenShift upgrade program for a financial-services environment where platform downtime, workload compatibility, and release coordination had to be managed through a repeatable readiness and rollout process rather than ad hoc change windows.
Assessed, containerized, and migrated a portfolio of legacy application workloads from virtual machines onto an existing OpenShift platform, establishing a repeatable release path based on standardized container builds, Helm-packaged deployments, and Argo CD promotion across environments.
Designed and rolled out an Istio service mesh across a financial-services Kubernetes platform to enforce mutual TLS between services, improve service-to-service observability, and introduce a controlled path for progressive delivery, traffic shaping, and resilience policies.
AWS, Azure, and GCP platform foundations, landing zones, resilience patterns, cost governance, and shared-services architecture.
6 projects
Designed and deployed an AWS foundation for a growing engineering organization that needed stronger environment separation, clearer security boundaries, and a production-ready container platform.
Defined and deployed a more resilient AWS architecture for customer-facing services that needed clearer recovery patterns, stronger release discipline, and better operational separation across environments.
Designed and deployed an Azure platform foundation for teams that needed consistent networking, identity, and Kubernetes-based application delivery.
Delivered a structured Azure architecture and deployment program for an organization consolidating shared services, networking, and application hosting patterns into a more supportable model.
Designed and deployed a GCP platform foundation for shared services and containerized applications, with emphasis on network structure, workload identity, security controls, and repeatable GKE delivery.
Introduced cloud cost visibility, accountability structures, and engineering-level cost controls for a SaaS business whose AWS spend had grown faster than its ability to understand or manage it.
Cross-cloud delivery patterns, disaster recovery, data platforms, and analytics or ML workloads split across providers.
3 projects
Designed and deployed a multi-cloud resilience pattern for a customer-facing multi-tier web application composed of a static frontend, Kubernetes-hosted APIs and workers, PostgreSQL, Redis, and object storage. The client needed provider-level disaster recovery rather than only regional resilience, with the production runtime hosted on AWS and a warm-standby recovery stack maintained on Azure.
Designed a true multi-cloud platform where customer-facing workloads remained on AWS while analytics and machine learning capabilities were implemented on GCP using managed data and MLOps services better suited to that part of the workload.
Designed and deployed a GCP-based data platform for moving operational data into a cleaner analytics workflow with better reliability, traceability, and downstream consumption patterns.
Internal platforms, golden paths, GitOps adoption, self-service enablement, and cloud foundation work for teams building more repeatable delivery systems.
4 projects
Built a Backstage-based internal developer platform to reduce onboarding friction, standardize service creation, and give engineering teams a clearer path from repository creation to production delivery.
Created a stronger cloud and platform baseline for a product organization moving from ad hoc infrastructure toward a more deliberate platform engineering model.
Migrated a multi-team engineering organization from ad hoc kubectl and script-based deployments to a structured GitOps model using Argo CD, with clear repository structure, promotion workflows, and application ownership maintained across environments.
Reduced platform-team bottlenecks by turning repeated support work into reusable patterns, self-service paths, and better-defined platform responsibilities.
Supply chain security, pipeline hardening, policy enforcement, and security controls embedded into container build and delivery workflows.
1 project
Embedded security controls across the software delivery pipeline for a financial-services environment where audit requirements, vulnerability management, and supply chain integrity needed to be addressed at the platform level rather than left to individual teams.
Metrics, logs, traces, alerting, and production operating models for containerized and distributed systems.
3 projects
Introduced a more usable observability stack and practical SRE practices for teams operating distributed services on Kubernetes.
Implemented a Datadog-based observability and SRE model for Kubernetes services, giving product and platform teams unified infrastructure, application, and service-level visibility.
Introduced a New Relic-based observability model that connected infrastructure, application telemetry, logs in context, and distributed tracing for teams supporting mixed runtime environments.
If one of these projects reflects the type of work your team is planning, Ideamics can walk through the relevant architecture, delivery tradeoffs, and implementation approach in more detail.