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Cloud & DevOps Engineering

Cloud DevOps Engineering for Enterprise Infrastructure

Cloud DevOps engineering is the infrastructure layer that determines whether enterprise AI systems perform in production or break under load. MetaSys designs and builds cloud environments, CI/CD pipelines, and Kubernetes clusters that give your AI systems the compute, scalability, and uptime they require. We also migrate legacy on-premise infrastructure to cloud without downtime.

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AWS, GCP and Azure|Zero-downtime migration|99.99% uptime SLA
Network infrastructure and connectivity
CLOUD & DEVOPS

Cloud-native infrastructure, engineered to scale.

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Why it matters

AI systems make new demands on infrastructure.

AI workloads need elastic compute

Training runs, inference bursts, and batch processing jobs require infrastructure that scales on demand and scales back down. Fixed-size servers from 2018 cannot handle this.

Security requirements are non-negotiable

AI systems process sensitive business data. Network isolation, secrets management, RBAC, and encryption at rest and in transit are baseline requirements, not optional add-ons.

Slow deploys kill iteration speed

If deploying a new model version takes two days and three approvals, your AI team will stop shipping. CI/CD built for AI workflows is a competitive advantage.

What we build

Six cloud and DevOps capabilities we deliver.

Cloud architecture and migration

Design and execution of cloud migration from on-premise or legacy environments. AWS, GCP, and Azure. Zero-downtime migration strategies with rollback capability at every stage.

AWS, GCP, Azure

Kubernetes and container orchestration

EKS, GKE, and AKS cluster design, deployment, and management. Auto-scaling, pod scheduling, network policies, and resource optimization for AI workloads.

EKS, GKE, AKS, Helm

CI/CD pipeline engineering

Automated build, test, and deploy pipelines using GitHub Actions, GitLab CI, or Jenkins. Canary releases, blue/green deployments, and automated rollback for zero-risk shipping.

GitHub Actions, ArgoCD, Jenkins

Cloud security and compliance

IAM policies, network segmentation, secrets management with Vault or AWS Secrets Manager, security scanning in CI/CD, and compliance frameworks for SOC 2 and HIPAA environments.

Vault, AWS IAM, Security Hub

Observability and monitoring

Full-stack observability with Datadog, Grafana, and Prometheus. Distributed tracing, log aggregation, custom dashboards, and alert routing that reaches the right person immediately.

Datadog, Grafana, Prometheus

Cloud cost optimization

Right-sizing, reserved instance planning, spot instance strategies, and automated cost anomaly detection. We reduce cloud spend without reducing performance.

AWS Cost Explorer, Spot, Reserved
Migration methodology

Zero-downtime migration is not a promise. It is a process.

01
Week 1

Infrastructure audit

We document your current environment completely. Every service, dependency, data store, and integration. Nothing moves until we understand everything that touches it.

02
Week 1-2

Target architecture design

We design the cloud target state: compute, network, storage, security, and observability. You approve the architecture before a single resource is created.

03
Week 3-12

Phased migration

We migrate in phases starting with low-risk workloads. Each phase is validated before the next begins. Rollback is possible at every stage.

04
Final phase

Cutover and stabilization

Production cutover with live monitoring and a war room on standby. 30-day stabilization period with dedicated support before handoff.

Technical stack

What we use to build your cloud foundation.

Cloud Platforms

  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
  • Microsoft Azure
  • Multi-cloud and hybrid architectures
  • Cloudflare for edge and CDN
  • Vercel and Netlify for frontend

Infrastructure and Orchestration

  • Kubernetes (EKS, GKE, AKS)
  • Terraform and OpenTofu (IaC)
  • Helm for Kubernetes packaging
  • Docker and container registries
  • ArgoCD for GitOps
  • Istio for service mesh

CI/CD and Observability

  • GitHub Actions
  • GitLab CI
  • Jenkins
  • Datadog
  • Grafana and Prometheus
  • PagerDuty and OpsGenie
Results

What clients see after we rebuild their infrastructure.

99.99%Uptime SLA on managed Kubernetes clusters
0Downtime during production migrations
60%Average reduction in cloud infrastructure cost
4 minAverage CI/CD pipeline duration after optimization
Common questions

Frequently asked questions

MetaSys works across AWS, Google Cloud Platform, and Azure, and builds multi-cloud and hybrid architectures. We also use Cloudflare for edge and CDN, and Vercel and Netlify for frontend hosting. The right platform depends on your workloads, so we design the target architecture around your systems rather than defaulting to one vendor.

Yes. MetaSys builds CI/CD pipelines with GitHub Actions, GitLab CI, and Jenkins, and automates infrastructure with Terraform and OpenTofu. We design Kubernetes clusters on EKS, GKE, and AKS, and set up canary releases, blue/green deployments, and automated rollback so your team can ship quickly and safely.

Yes. MetaSys runs a phased migration that starts with an infrastructure audit, then a target architecture you approve before any resource is created. We migrate in phases beginning with low-risk workloads, validate each phase before the next, and keep rollback possible at every stage. Production cutover includes live monitoring and a 30-day stabilization period.

MetaSys treats security as a baseline requirement, not an add-on. We implement IAM policies, network segmentation, and secrets management with Vault or AWS Secrets Manager, plus security scanning inside CI/CD. We build environments that meet compliance frameworks including SOC 2 and HIPAA, with encryption at rest and in transit throughout.

MetaSys optimizes cloud spend through right-sizing, reserved instance planning, spot instance strategies, and automated cost anomaly detection. On average, clients see a 60% reduction in cloud infrastructure cost after we rebuild their environments. We cut spend without cutting performance, so uptime and scalability hold as costs come down.

Build the foundation

Your AI needs infrastructure that does not break.

Talk to a Cloud Architect. We will audit your current environment and design a target architecture within 5 days.

Book a Scoping Call See our work