Services
// Cloud Migration & Modernization
Move without stopping.
Finish without guessing.
We plan, assess and migrate your systems onto Google Cloud or Alibaba Cloud against phases with real dates — with a Thai engineering team that is still there after the last wave lands.
Talk to our migration team Ask for a free initial assessment
// Where migrations stall
If your migration has not moved in a year, it is usually one of these five.
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Nobody knows where to start
Dozens of legacy systems, and no map of which ones can move as they are and which have to be rewritten.
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Downtime is unthinkable
Production cannot stop, and there is no rollback plan anyone is willing to stake the quarter on.
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The bill is unpredictable
Nobody can say what it costs once you are running there, so nobody can put a number in front of the board.
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Not enough people in-house
Only a handful of people know the old systems, and none of them has run a migration before.
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Nobody owns it afterwards
The vendor finishes and disappears, and you are left operating a system your team never learned.
// What we take on
Four pieces of work, and we own all four.
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Assessment & Discovery
Every workload surveyed, grouped, put in order, and costed where it is going to live.
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Landing Zone
Network, identity, security and logging laid down correctly on day one, not retrofitted in year two.
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Migration Execution
Moved in waves, each one with its own UAT and its own rollback plan.
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Modernization
Containers, serverless and managed databases — for the workloads that are worth rebuilding, and only those.
// Choosing per workload
We do not move everything the same way.
| Method | Best for | What you gain / what you trade |
|---|---|---|
| Rehost (lift & shift) | Systems that have to move soon and are not ready for code changes | Fastest route · does not yet earn what the cloud can give you |
| Replatform | Moving a database onto a managed service, or an OS version forward | Cuts operations work immediately · small config changes |
| Refactor | Core systems that have to scale, or ship features often | Worth the most over time · costs the most time and budget |
| Repurchase | Systems a SaaS product can replace outright | Removes the maintenance burden · the data still has to move |
| Retire | Systems nobody is using any more | Saves money immediately · needs the business owner to confirm |
| Retain | Blocked by a constraint, or not yet at its investment cycle | Stays where it is for now · plan around it as hybrid |
// How a migration runs
Four phases, each one with a date and something you can hold.
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Assess
Weeks 1–3
Survey every workload · sort them by 6R · estimate what they cost where they are going · name the risks
- Workload inventory + 6R disposition sheet
- Cost estimate from the pricing calculator
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Architect
Weeks 3–6
Design the landing zone · network, identity and security · the wave plan · the rollback plan
- Technical design document · architecture diagram
- Migration wave plan
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Migrate
Weeks 6–16
Move in waves · UAT on every round · cutover · hypercare while it settles
- Production environment · IaC templates
- UAT sign-off · runbook
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Optimize
Weeks 16–20
Right-sizing · long-term discount planning · handing the knowledge to your team
- Optimization report · handover + training
- A managed service plan, if you want one
Every phase is announced as a window of weeks rather than a price with no shape. A schedule you can hold us to is what makes the risk finite — and progress something you can measure instead of take on faith.
// Where to start
Start at the point your readiness actually is.
Not every engagement begins with a full migration. Some teams need the assessment done first and nothing else. Some want one real workload moved as a pilot before they commit to waves. Some already migrated and only need the landing zone rebuilt properly, or someone to run what already moved. Tell us where you are and we will scope exactly that — every engagement is scoped and priced against your requirement, not a package.
// Results
Numbers we publish here will be client-approved, or not published at all.
While those approvals are in progress, judge us by the platforms we run ourselves: ShopSCAPE and Pantip MALL — a national-scale marketplace — run on the same landing-zone design, the same wave discipline and the same rollback habits we bring to your migration. We carry our own pager. That is the standard your systems inherit.
// Common questions
What clients ask before they commit.
How long does a cloud migration take, and does the business have to stop?
It depends on how many workloads you have and how tangled they are. Our reference frame is Assess across weeks 1–3, foundations across weeks 3–6, and migration in waves across weeks 6–16. Your existing systems keep running the whole time, because we move one wave at a time with UAT and a rollback plan on every round — the business never waits on the migration.
What will it cost once we are on the cloud, and can that be estimated up front?
Yes. During the assessment we build a workload inventory and estimate the destination cost with a pricing calculator before anything moves. After the migration there is an Optimize phase for right-sizing and long-term discount planning, so the monthly bill lands inside the number you took to your board.
What is the difference between Google Cloud and Alibaba Cloud, and which should we choose?
It depends on the workload, your data requirements, and what your team already runs. We deliver on both and resell both, so the recommendation comes from your problem rather than from our margin — and where different workloads suit different homes, we will design the hybrid.
If we are not happy after moving, can we move back?
Every wave in the plan has a rollback. Through cutover the old environment stays intact until UAT passes and you sign it off. In the design itself we avoid lock-in we do not need — containers and IaC templates that can be taken elsewhere.
Which region will our data sit in, and does it meet PDPA?
The landing zone we design fixes data residency, encryption and access rights to your requirements on day one, so the system's data policy answers PDPA and your own internal rules rather than being retrofitted to them later.
How many people do we need on our side, and with what skills?
Early on you only need the people who know the existing systems to join the workshops — the survey, the design and the migration work are ours. Every phase ends in handover and training so your team can run it, or we keep running it for you as a managed service.
How is buying through Digithun different from buying direct?
You are billed in baht with a tax invoice in your company's name, you have Thai engineers on hand after the move, and we plan long-term discounts around what you actually use. Engineers and billing sit with one company, so there is nobody to coordinate between when something breaks.
Can you migrate us from AWS, or from on-premises VMware?
Yes. The source does not change the method — we move workloads from AWS, from on-premises VMware and bare metal, and from Thai hosting providers. The assessment is the same either way: what moves as it is, what gets replatformed onto managed services, and what is worth rebuilding once it lands. What changes is only the tooling in the migration wave.
The migration is done. What does the bill look like?
Billed in baht · a tax invoice in your company's name · long-term discounts planned around what you actually use · Thai engineers on hand — and one bill covering both Google Cloud and Alibaba Cloud.
Talk about cloud billing and local invoicing// Technology partners
The Data, AI and Agentic AI stack we build on.
We build on Google Cloud as a certified implementation partner, with multi-cloud delivery across BytePlus and Alibaba Cloud where the workload calls for it. From strategy through production, our deepest work is in Data Analytics, Data Foundation, Healthcare AI and Retail AI.
we are reseller
- Google CloudVertex AI
we are reseller-
One accountable partner.
From the first workshop to production support, you work with the same certified team. We advise, implement and stay accountable for what we ship.
Talk to our team 
we are reseller
- Data Lakehouse
- Streaming & CDC
- ETL & Pipelines
- BytePlusBytePlus Recommend
- Alibaba CloudMaxCompute
- Customer Data Platform
- Agentic AIHarness Engineering
- Agent Framework
- Conversational AI
// How we work
How we work.
The same discipline on every engagement — because good output starts with good input.
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Understand
We start in your business, not in our tech stack. Workshops with the people who own the problem, until the problem is actually defined.
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Design
Architecture and roadmap you can challenge: what we'll build, why, what it costs, what it returns.
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Build
Certified engineers, ISO/IEC 29110 process discipline, working software over long documents.
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Run
We stay through production and beyond — operating, measuring and improving. Accountability doesn't end at go-live.
// Why Digithun
Why teams choose us.
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Certified, not self-declared
Google Cloud Partner & Authorized Reseller, Data Analytics Specialization, Healthcare & Life Sciences recognition, ISO/IEC 29110 audited by SGS.
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Small by design
Senior people do the work. The team you meet in the first workshop is the team that ships.
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Business first, then technology
We're trusted for translating ambiguous business problems into systems, not for reciting product names.
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We build our own products
ShopSCAPE and Pantip MALL keep our engineering honest. We hold ourselves to the same standard we sell.
Our clients
// Our clients
Trusted by leading Thai enterprises. Across energy, healthcare, insurance, retail and infrastructure.
Ready to start?
Tell us which systems are waiting and what is blocking them. The first conversation costs nothing, commits you to nothing, and usually saves months.
Talk to our migration team Ask for a free initial assessment
Innovate for the better tomorrow.
// Corporate update
Our
Move
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Buying the platform and building on it used to be two conversations with two suppliers. It is one conversation now: we resell Google Cloud, Alibaba Cloud and BytePlus, and the same engineers who size the environment stay with it through production support.
For teams already running with us, nothing changes technically — the difference is commercial. Licensing, quota and billing sit with the people who know what the workload actually does.
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A certified implementation partner works to the cloud provider's published reference architectures. In practice that means your landing zone, IAM model and network layout look like something any Google Cloud engineer can pick up — including the next team you hire.
It also means the review gates are not ours to waive. Where the reference architecture asks for separation of duties or a break-glass path, it gets built.
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Hospital data arrives in fragments — HIS exports, lab feeds, scanned forms, free-text notes in Thai and English. Before a model sees any of it, someone has to answer where each field came from, who consented to what, and which records must never leave the country.
We build that layer first. It is slower to demo and it is the reason the pilots survive contact with a real ward.
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Live commerce moves fast enough that the recommendation loop has to close in the same session. That puts the weight on the event pipeline, not the model: what counts as a view, when a cart event lands, how quickly the feature store sees it.
We treat the BytePlus components as a stack to be wired properly rather than a switch to be flipped. The lift comes from the wiring.
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The site you are reading ships as static HTML, one stylesheet and one script, served by a Node process with a strict content security policy. There is no analytics tag, no font CDN and no tracker.
It is partly a statement of taste and partly a working sample: the same restraint we bring to a client's platform, applied to our own front door.
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Warehouses fill up faster than they get governed. By the time a model needs a feature, nobody can say which of the four revenue columns is authoritative, and the project stalls in a meeting about definitions.
The fix is unglamorous: contracts on the ingest side, lineage through the transformations, and one owner per domain. Do that and the AI work stops being archaeology.