MLOps & Infrastructure Consulting Services
Professional infrastructure services that help businesses improve delivery speed, control cloud spend, strengthen security, and operationalize machine learning at scale.
From AI/MLOps enablement to modern DevOps practices, financial governance, and security operations, we create a foundation that supports reliable growth.
Modern businesses need infrastructure that performs. We build systems that are fast, secure, and cost-efficient.
A consolidated infrastructure ensures speed, security, and financial transparency. By harmonizing cloud modernization with production-ready operations, businesses achieve a resilient technical environment that minimizes overhead while maximizing the performance of both software and AI initiatives.
Four capabilities,
one integrated platform
Scroll down to step through how we perform AI/MLOps, DevOps, FinOps, SecOps.
Cloud platforms ready for AI workloads
Real outcomes from MLOps, FinOps, DevOps, and SecOps engagements across AWS, GCP, Azure, and on-premise Kubernetes.
- 55%Peak Cloud Cost Reduction
- 50+Certified Engineers
- 3Cloud Platforms Supported
- 98%Client Satisfaction
Five steps from assessment to handover
Every engagement moves through the same discipline – so there's no surprise about where we are, what's next, or how success is measured.
- 1
Assessment
We review your current infrastructure, workflows, costs, and operational challenges to baseline where you stand.
- 2
Strategy Design
We define the right approach across AI/MLOps, DevOps, FinOps, and SecOps based on your goals and constraints.
- 3
Implementation
We build the automation, governance, pipelines, monitoring, and deployment workflows that bring the strategy to life.
- 4
Optimization
We refine performance, cost, and security controls based on real usage – not a one-and-done rollout.
- 5
Handover & Support
We document, transfer, and support the environment so your team can operate with confidence on day one – and after.
Right-fit for teams that need to scale with control
Infrastructure Engagement Models
We scope every infrastructure engagement to fit your team structure – from focused audits to long-term managed service arrangements.
- Assessment and roadmap: two-to-four-week audit of your current cloud architecture, cost profile, and security posture, delivered as a prioritised action plan with effort and cost estimates.
- Project-based migration or implementation: defined-scope migration – cloud platform migration, Kubernetes deployment, or FinOps tooling implementation – with fixed timeline and documented handoff.
- Managed services retainer: ongoing infrastructure management, monitoring, and optimisation at a predictable monthly rate. Best for teams that want engineering focus without internal DevOps headcount.
Infrastructure is most valuable when it runs smoothly. When it fails, it can ruin your entire business
By bringing together AI/MLOps, DevOps, FinOps, and SecOps, we help build infrastructure that supports both performance and business goals.
What a strong infrastructure strategy unlocks
The business outcomes our customers typically see:
- Deliver products faster.
- Reduce cloud waste.
- Improve security posture.
- Support AI and data workloads.
- Scale without losing control.
Why choose us
What makes our engagement model different:
- Integrated approach across operations, finance, security, and machine learning.
- Practical implementations focused on business outcomes.
- Flexible support for cloud, hybrid, and AI-driven environments.
- Strong emphasis on automation and long-term maintainability.
- Built to help teams move faster without losing control.
Why Enterprise Teams Choose DataX Power for Infrastructure
Our infrastructure team is Hanoi-based with senior engineers who manage production workloads on AWS, GCP, and Azure for clients across financial services, manufacturing, and logistics verticals in APAC.
- FinOps-first discipline: every engagement includes a cloud cost analysis. We have reduced cloud spend by 30–50% for clients through right-sizing, reserved instance optimisation, and workload scheduling.
- AI/MLOps specialisation: we build the infrastructure that makes AI production-ready – model serving, training pipelines, experiment tracking, and monitoring for model drift.
- Security as a first-class requirement: SecOps practices are embedded in every deployment, not bolted on. ISO 27001-aligned processes, zero-trust network design, and compliance documentation for regulated industries.
- APAC time-zone availability: Hanoi-based team means no overnight SLA gaps for clients in Singapore, Australia, Thailand, or Malaysia.
Clouds, orchestration, and observability stack
We are cloud-neutral by default. The selection below reflects current production engagements across MLOps, FinOps, DevOps, and SecOps.
- AWS
- Google Cloud
- Microsoft Azure
- Kubernetes
- Terraform
- ArgoCD
- GitHub Actions
- GitLab CI
- Prometheus
- Grafana
- Datadog
- OpenTelemetry
- MLflow
- Kubeflow
- Ray
- Vault
Frequently asked questions
Practical answers on MLOps, FinOps, DevOps, and SecOps from DataX Power infrastructure engineers.
Let's build what's next
Share your challenge – AI, data, or infrastructure. We'll scope your project and put the right team on it.