Cloud & DevOps in Rayong
NICH TEC provides Cloud & DevOps to businesses in Rayong. Support is remote-first. On-site attendance is arranged for project work and major incidents, quoted per visit. Served remotely from our Chiang Mai base. Support is delivered in Thai and English, with fixed monthly pricing published openly from ฿12,000.
Rayong is Thailand's petrochemical centre, built around Map Ta Phut. Industrial control environments here are segregated from corporate networks for safety reasons, and that separation has to be respected in any IT or security work rather than treated as an inconvenience.
The local business base is weighted towards petrochemicals, heavy industry, energy and ports, and that shapes what matters most here. Ship faster and scale effortlessly. CI/CD pipelines, Kubernetes orchestration, Infrastructure-as-Code, and multi-cloud strategies built for teams in Chiang Mai and across Thailand that can't afford downtime.
Get a free assessment in RayongHow we cover Rayong
| Location | Rayong · Eastern Thailand |
| From our base | Served remotely from our Chiang Mai base. |
| On-site model | Support is remote-first. On-site attendance is arranged for project work and major incidents, quoted per visit. |
| Remote support | Immediate, under the same SLA as Chiang Mai. |
| Languages | Thai and English |
What's included
CI/CD Automation
Automated build, test, and deployment pipelines for faster and more reliable releases.
Containerization
Docker and Kubernetes orchestration for portable, scalable application deployments.
Infrastructure as Code
Terraform and CloudFormation for reproducible, version-controlled infrastructure.
Multi-Cloud Management
Manage AWS, Azure, and GCP together for redundancy and cost optimization.
Full detail on scope, process and technology is on the main Cloud & DevOps page. See Cloud & DevOps in full
Common questions
Which clouds do you support?+
AWS, Azure, and Google Cloud, including multi-cloud and hybrid architectures.
Can you set up CI/CD for our team?+
Yes — automated build, test, and deployment pipelines, plus containerization and Infrastructure-as-Code.
Will this reduce our cloud costs?+
We right-size resources and add cost monitoring, which typically makes cloud spend lower and more predictable.
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