Services
// Cloud Cost Management
Stop paying for cloud you don’t use
Cloud bills don’t grow because teams are careless — they grow because nobody owns them. Our FinOps practice gives your cloud spend an owner: full visibility into where the money goes, optimization that doesn’t break workloads, and governance so the savings survive next quarter.
// Why the bill grows
The bill only ever moves one way.
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Up and to the right, unexplained
The bill grows a little every month. Six months later it is a board question, and there is no history that says which decision moved it.
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One bucket, every team
Nobody sees their own number, so nobody owns it. Cost without allocation is weather — everyone talks about it, nobody is responsible for it.
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The commitment nobody dares make
Committed-use discounts sit unused because a wrong commitment feels worse than a high bill. Meanwhile the high bill compounds monthly.
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The cleanup that did not stick
Someone did an optimization sprint last year. The savings decayed in a quarter, because nothing kept watching. That is what Managed FinOps is for.
// What we deliver
An owner for the number.
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Cloud spend audit
Billing export into BigQuery, every service and project mapped — where the money goes, what it buys, and what it should cost instead.
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Rightsizing and architecture optimization
Changes classified by risk before anything is touched: the safe ones shipped, the structural ones planned with your team — savings that do not break workloads.
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Committed-use and discount planning
Commitments sized from your actual usage curve, not the optimistic roadmap — with the maths shown, so finance can sign it without faith.
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Cost allocation, budgets, alerts and showback
Each team sees its own number, budgets alert before they burst, and the monthly conversation changes from "why is it high" to "what changed".
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Billing structure optimization
Together with Cloud Billing by Digithun — THB invoicing, and a billing account structured so the reports above stay possible.
Buying Google Cloud? THB invoicing and Thai support — Cloud Billing by Digithun.
// How it runs
One project, four steps, and the savings are itemised.
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Visibility
Billing export, dashboards, allocation by team and environment.
- A cost map of the estate
- A baseline to measure everything against
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Quick wins
Idle resources, obvious rightsizing, storage classes. Safe changes shipped immediately with your approval.
- Itemised savings, live within the project
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Structural
Commitments, architecture opportunities, billing structure.
- A committed-use plan with the maths shown
- An optimization roadmap
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Governance and handover
Budgets, alerts, policies, and the monthly practice documented for your team.
- A governance pack
- A trained owner for the number — yours, or ours on subscription
StackCloud Billing reportsBigQuery billing exportLooker dashboardsRecommender API
// Project or practice
One-time project, or a standing practice?
| Cloud Cost Management (this page) | Managed FinOps | |
|---|---|---|
| Shape | One-time audit and optimization | Monthly subscription |
| Best when | The bill is a question you need answered now | The bill is a number you want owned continuously |
| What you walk away with | Itemised savings, a commitment plan, governance your team runs | A monthly cadence: monitoring, optimization and reporting that does not decay |
| Typical path | Start here | then keep it here |
// Proof
We watch our own bill the same way.
ShopSCAPE and Pantip MALL run on the same clouds we optimize for clients. The allocation, budget alerts and commitment planning on this page are the practice we use on our own spend every month — because our margin depends on it.
// Common questions
What teams ask before the audit.
How much can we actually save?
We will not quote a percentage before seeing your bill — any number would be marketing, not analysis. The audit itemises the savings by source: idle resources, rightsizing, storage classes, and commitments, each with the maths shown, before anything changes. You decide with the numbers in front of you.
Will optimization break production?
Every change is classified by risk first. Idle cleanup and storage classes are safe and shipped early; anything touching a running workload is planned with the team that owns it and tested like any other change. Savings that cause an incident are not savings.
When do committed-use discounts make sense?
When your baseline usage is stable enough that the commitment is covered by what you would run anyway. We size commitments from your actual usage curve and show the break-even, so the decision is arithmetic rather than nerve.
Is this the same thing as Managed FinOps?
Same discipline, different shape. This page is a one-time audit and optimization project. Managed FinOps is the monthly subscription that keeps the number owned so the savings do not decay. Most teams start with the audit.
Do we have to move our billing to you first?
No — the audit works on any billing account. But when billing runs through us, analysis and action sit in one place: we can restructure the account, apply the commitment and change the invoice without a third party in the loop.
Does this cover Alibaba Cloud and BytePlus too?
Yes. Most cost work is on Google Cloud, and the same practice runs across the clouds we resell — with one consolidated view when your estate spans more than one.
Send us a month of billing
As your Authorized Reseller we can act on billing directly — analysis and action in one place.
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.