AWS & Azure architecture
Cloud-native infrastructure design on AWS and Azure — from VPC, networking, and identity to multi-region deployment.
We combine AI assistants, automation, and production-ready cloud foundations — with guardrails, audit trails, and operations practices built in from day one.
AI delivers value on a stable, secure, monitored foundation.
Cloud-native infrastructure design on AWS and Azure — from VPC, networking, and identity to multi-region deployment.
EKS, AKS, GKE — design, deploy, and operate Kubernetes clusters for real production workloads.
Jenkins, ArgoCD, GitHub Actions, GitLab CI — automated pipelines from commit to production with clear rollback.
Security from code to cluster: secret management, vulnerability scanning, access control, and audit trails.
Prometheus, Grafana, Loki, OpenTelemetry — full-stack visibility from infrastructure and applications to AI workflows.
Tagging, rightsizing, and workload-aware cost governance — transparent and optimised over time.
We combine AI assistants, automation, and production-ready cloud foundations — with guardrails, audit trails, and operations practices built in from day one.
Behind FlowNexa
Lead Engineer / Founder
FlowNexa is led by an engineer with 17+ years delivering AI assistants, chatbots, automation, and system integration for SMBs — on production-ready cloud, Kubernetes, and DevSecOps foundations.
Assistants, RAG, knowledge bases, and chatbots connected to CRM, PMS, and Zalo/Facebook channels.
n8n, API, and webhook automation for repetitive tasks with human approval when needed.
Access control, audit trails, and safe deployment boundaries for AI in production.
CI/CD, Kubernetes, monitoring, and rollback — infrastructure that scales with your AI workloads.
Designed for real operations with monitoring, rollback, and audit trails.
Control AI boundaries, access permissions, and sensitive business data.
A team that understands Vietnamese SMB workflows — from operations and support to infrastructure and cloud.
Local team support with replies within one business day.
Start with a practical consultation to identify the right AI use case, required data, integration approach, risk boundaries, and MVP roadmap.
We onboard at most three new customers per month to protect delivery quality.