The New Cloud-Native Operating Model Is Here
Legacy lift‑and‑shift strategies can’t meet the demands of modern apps. Today’s platforms need to scale globally, deploy instantly, and run reliably — across any cloud, any environment.
CloudGeometry’s Kubernetes Adoption & Cloud Modernization Services move you beyond infrastructure bottlenecks to portable, observable, and cost-efficient services with GitOps automation and open-source standards built in.
Modernize cloud operations with confidence
We automate via IaC, GitOps, observability, and cost governance to de-risk adoption and accelerate value.
Multi‑Cloud / Hybrid Workload Portability
Design for any cloud and on-prem with repeatable patterns that avoid lock-in.
Resilience, Auto‑Scaling & Security‑by‑Design
Hardened cluster baselines, HA patterns, and policy enforcement baked into delivery.
Cost Optimization & FinOps for Kubernetes
Right-size resources and govern spend with cost attribution and automated guardrails.
Kubernetes Cluster Architecture & IaC Automation
Reproducible environments delivered with Terraform/OpenTofu and GitOps.
Cloud‑Native CI/CD & GitOps Enablement
ArgoCD, Flux, and Helm workflows for predictable, auditable rollouts.
Platform Observability & Policy Enforcement
Unified metrics, logs, tracing, and OPA-based policy to keep platforms compliant.
Common Challenges We Solve
Getting Kubernetes up and running is easy. Operating it across teams, tools, and clouds — securely and cost‑effectively — is the real challenge.
Fragile migration paths and cloud lock‑in
Risk of cloud lock-in and brittle lift-and-shift approaches.
Lack of observability and enforcement in multi‑tenant clusters
Gaps in enforcement and visibility across multi-tenant clusters.
Overprovisioning and escalating cloud costs
Over-provisioning without governance or cost attribution.
Inconsistent Kubernetes adoption
Uneven Kubernetes usage across teams and environments.
Limited automation for deployments and policy compliance
Limited automation for rollouts, policy, and compliance.
Complexity in securing and scaling cloud‑native apps
Hard to secure and scale cloud-native apps consistently.
CloudGeometry Process:
From Lift-and-Shift to Modern Platform Ops
GitOps, infrastructure as code, and Kubernetes-native tooling make it possible to automate and scale platform modernization like never before.
Align Goals & Assess Kubernetes Readiness
We begin with a clear understanding of your workloads, compliance goals, and future scale. We analyze your existing infrastructure, identify migration blockers, and create a roadmap to containerization and Kubernetes adoption.
AI-Powered Accelerators
AWS Well-Architected / Trusted Advisor
Architecture gap assessment and readiness validation
GCP Duet AI / Azure Advisor
Workload analysis and migration planning
Kubecost AI
Baseline cost and usage insights
Automate Deployments & GitOps Workflows
We implement GitOps CI/CD workflows using ArgoCD, Flux, and Helm to eliminate manual deployments and reduce risk. Rollouts become predictable, secure, and observable — every change starts in git.
AI-Powered Accelerators
GitHub Copilot
Manifest generation and CI/CD scripting
Argo Rollouts
Progressive delivery with blue/green and canary
Harness AI
Release orchestration and verification
Architect Scalable Kubernetes Platforms
We design Kubernetes clusters that are resilient, scalable, and infrastructure‑as‑code defined. From bootstrap scripts to cloud‑native provisioning, every part of the stack is reproducible, secure, and optimized for GitOps delivery.
AI-Powered Accelerators
Terraform / OpenTofu
Module generation and drift remediation
ArgoCD AI Plugins
Drift detection and automated fixes
Datree AI
Policy enforcement for Kubernetes configs
Integrate Observability, Policy & Governance
We layer in observability across your Kubernetes workloads using open‑source and commercial tools. At the same time, we implement policy‑as‑code and access controls for secure, compliant operations.
AI-Powered Accelerators
Prometheus + Grafana AI
Anomaly detection and metrics alerting
OPA / Rego AI Assist
Auto-generated cluster policies
DataDog + Sentry
Root-cause diagnosis and logging integration
Optimize Cost & Performance
Kubernetes offers elasticity — but without governance, that becomes over‑provisioning. We help you apply FinOps principles with automation that rightsizes usage and maximizes ROI.
AI-Powered Accelerators
Kubecost AI
Real-time cost attribution and efficiency modeling
CAST AI
Autoscaling and bin-packing optimization
CloudZero
Team-level spend visibility
Operate, Monitor & Evolve
Our managed services provide full lifecycle support for your Kubernetes platform — from SLOs and alerts to upgrades and cost tracking. We ensure reliability at scale so you can focus on delivering apps, not managing infrastructure.
AI-Powered Accelerators
AWS CloudWatch AI / GCP Duet AI
Predictive alerts and health monitoring
Crossplane + Flux
Dynamic environment provisioning
ChaosMesh
Fault injection and failure testing
Why CloudGeometry
Modern application modernization demands deep engineering, cloud-native architecture, and AI-first delivery — all grounded in experience.
Full-Stack Modernization Expertise — Evolved Over a Decade
10+ years transforming aging systems, startup-quality apps, and post-M&A stacks...
Full-Stack Modernization Expertise — Evolved Over a Decade
10+ years transforming aging systems, startup-quality apps, and post-M&A stacks...
We’ve spent over 10 years transforming aging systems, startup-quality applications, and post-M&A systems into resilient, enterprise-grade platforms. Whether it’s scaling early-stage code or reviving critical apps abandoned by former dev teams, we modernize what matters — from UI to infrastructure and beyond.
Cloud-Native & Multi-Cloud Architecture Mastery
Design and operate platforms across AWS, Azure, and hybrid environments...
Cloud-Native & Multi-Cloud Architecture Mastery
Design and operate platforms across AWS, Azure, and hybrid environments...
We design application platforms that run securely and reliably across AWS, Azure, and hybrid environments — with Kubernetes, containerization, and zero vendor lock-in baked in.
AI-Driven Acceleration with an AI-Powered SDLC
Automation from code transcription to testing, CI/CD, and delivery analytics...
AI-Driven Acceleration with an AI-Powered SDLC
Automation from code transcription to testing, CI/CD, and delivery analytics...
Our AI-powered SDLC transforms how modernization gets done — automating code transcription, test coverage, CI/CD, rollout orchestration, and delivery analytics.
Proven Partner Ecosystem & Open Source Foundation
CNCF and Linux Foundation AI & Data participation, plus top hyperscaler partners...
Proven Partner Ecosystem & Open Source Foundation
CNCF and Linux Foundation AI & Data participation, plus top hyperscaler partners...
As members of the CNCF and Linux Foundation AI & Data committee, we stay on the cutting edge of open-source innovation — while partnering with top hyperscalers, tool vendors, and AI ecosystems.
Trusted by Platform-Powered Companies
Sinclair, Symphony, TetraScience, GeminiHealth and more rely on CloudGeometry...
Trusted by Platform-Powered Companies
Sinclair, Symphony, TetraScience, GeminiHealth and more rely on CloudGeometry...
Companies like Sinclair, Symphony, TetraScience, and GH rely on CloudGeometry not just to modernize their internal stacks — but to deliver scalable, AI-ready application platforms for their customers.
Faster, Lower Cost, and More Reliable — with CloudGeometry
Let’s plan your modernization roadmap and unlock reliable delivery at scale.
Cloud-Native & Kubernetes Resources
Amazon EKS for Automatic Cluster Scalability and Upgrades
Open Source CGDevX Cloud-Native Application Delivery Platform
Overcoming Common Hurdles in Cloud-Native Development with Kubernetes
Moving from VMware to Kubernetes? One Step at a Time
Moving Beyond Lift-and-Shift: The Value of Kubernetes-First Thinking
Balancing Kubernetes Reliability vs. Cost Optimization in the Real World
Cloud-Native Programming Isn’t Bog-Standard Easy — Yet
Driving Road Safety Innovation with Kubernetes and AI
Modernization Means Staying Competitive — Cloud-Native Strategy & ROI
Announcing the CGDevX Cloud-Native Application Starter Kit
Moving from VMware to Kubernetes? One step at a time
Moving Beyond Lift-and-Shift: The Value of Kubernetes-First Thinking
Master Cloud Economics with FinOps & Kubernetes: The Hidden Cost of Cloud Complexity
Common Hurdles in Cloud-Native Development with Kubernetes
The Hidden Costs (and Benefits) of Cloud Migration
Frequently Asked Questions
Common questions about cloud modernization and Kubernetes adoption.
What is cloud modernization and why is it important for staying competitive?
Cloud modernization is the process of updating legacy applications and infrastructure to a cloud-native model. This moves beyond basic "lift-and-shift" to unlock the scalability, efficiency, and reliability needed to compete, which is essential for improving your business ROI.
What’s wrong with a "lift-and-shift" migration? How is a Kubernetes-first approach different?
A "lift-and-shift" strategy often just moves your existing infrastructure problems to the cloud without solving them. A Kubernetes-first approach re-architects applications to be cloud-native, making them portable, scalable, and resilient by design, which is where the true value of the cloud is realized.
What are the most common hurdles teams face in cloud-native development?
Teams often struggle with the steep learning curve, managing costs, ensuring security, and handling the sheer complexity of the cloud-native ecosystem. Overcoming these hurdles is key to a successful Kubernetes adoption.
How can we manage and optimize cloud costs when using Kubernetes?
This is achieved by implementing FinOps principles, which bring financial accountability to cloud spending. It requires balancing the need for reliability with cost optimization, using tools to gain visibility, rightsize resources, and automate cost governance.
We are currently on VMware. What does the migration path to Kubernetes look like?
Moving from a virtual machine-based environment like VMware to containers and Kubernetes is a phased journey, not an overnight switch. It typically involves assessing workloads, containerizing applications, and gradually adopting the Kubernetes platform, often starting with a single application or cluster.
What are the "hidden costs" of cloud migration we should be aware of?
Beyond the obvious compute and storage fees, "hidden costs" can include data egress (transfer) fees, increased tooling and observability expenses, the need for specialized team training, and the cost of over-provisioning if resources are not properly governed.
What is CGDevX and how does it help with cloud-native delivery?
CGDevX is an open-source, cloud-native application starter kit and delivery platform. It provides developers with a pre-configured, best-practice foundation, accelerating application delivery by bundling essential tools for building, testing, and deploying on Kubernetes.
How do you handle Kubernetes on AWS, for example with EKS?
We leverage managed Kubernetes services like Amazon EKS (Elastic Kubernetes Service) to build a robust foundation. EKS is particularly effective for automating cluster scalability and managing upgrades, which simplifies platform operations and allows your team to focus on applications rather than infrastructure management.
How can Kubernetes and AI be used together?
Kubernetes is an ideal platform for running and scaling complex AI and machine learning (ML) workloads. It provides the resource orchestration, portability, and resilience needed to train and deploy AI models, enabling innovations like the real-time data analysis used in road safety technology.
