Cloud & DevOps in Phayao

NICH TEC provides Cloud & DevOps to businesses in Phayao. Support is remote-first. On-site attendance is arranged for project work and major incidents, quoted per visit. About 3 hours by road from our Chiang Mai office. Support is delivered in Thai and English, with fixed monthly pricing published openly from ฿12,000.

Phayao's business base is dominated by agriculture, the university and public-sector organisations. Budgets here are typically tighter than in Chiang Mai, which makes the distinction between what genuinely needs investment and what is a configuration fix especially worth getting right.

The local business base is weighted towards agriculture, education, local government and tourism, 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.

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How we cover Phayao

LocationPhayao · Northern Thailand
From our baseAbout 3 hours by road from our Chiang Mai office.
On-site modelSupport is remote-first. On-site attendance is arranged for project work and major incidents, quoted per visit.
Remote supportImmediate, under the same SLA as Chiang Mai.
LanguagesThai 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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