IT services · Cloud & DevOps
Deployments that are boring on purpose.
If deploying is stressful, you deploy less, and the changes pile up until one of them breaks something. The goal is a release so routine nobody schedules a meeting for it.
—— Where it hurts
The problems this work actually solves.
Most infrastructure problems stay invisible until the day they become expensive. These are the five we get called about most often.
Only one person can deploy
Releases happen when one particular engineer is available, over SSH, from memory. When that person is on holiday, deployments stop. When they resign, so does your ability to ship.
How we handle itWe move every step into a versioned pipeline that runs the same way for everyone, then walk your team through triggering it themselves.
Testing happens in production
There is no staging environment, so the first real test of any change happens in front of customers. Everyone deploys nervously and late in the evening, which is exactly when mistakes are hardest to fix.
How we handle itContainerisation makes a faithful staging copy cheap to run. Changes are proven there first, on the same images that go to production.
Backups nobody has restored
A cron job has been writing backup files somewhere for years. Nobody has ever restored one, so nobody knows whether they work, whether they are complete, or how long a restore would take on the worst day of your year.
How we handle itWe schedule restores into a scratch environment and record the result and duration each time, so recovery is a rehearsed procedure rather than a hope.
The server nobody dares touch
One machine has accumulated five years of manual changes. The OS is out of date, nobody remembers why half the services exist, and every upgrade gets postponed because nobody can predict what will break.
How we handle itWe audit it read-only, move each workload into a container it can be rebuilt from, and retire the mystery piece by piece while everything keeps running.
Customers find outages before you do
There is no monitoring, so the first alert is a phone call from an unhappy customer. By then the outage has already lasted as long as it took someone to get annoyed enough to call.
How we handle itUptime, resource and error monitoring goes in before anything else we build, with alerts routed to named people who have agreed to receive them.
—— Learn from other projects
Mistakes we see, and how to avoid them.
Adopting Kubernetes too early
Kubernetes solves problems most companies do not have yet, and it charges rent in complexity every single day. Teams adopt it and then spend more time operating the platform than the product. We match tooling to your actual scale — often a well-run Docker Compose setup — and write down the specific trigger that would justify moving up.
Keeping secrets in the code
Database passwords and API keys get committed to the repository or pasted into a chat group, where they outlive every employee who ever saw them, and one leaked repo exposes everything at once. We keep secrets in a secret store from day one, out of the repository entirely, and rotate anything that has ever been shared another way.
Backups stored on the same server
A backup folder on the production disk protects you from almost nothing: disk failure, ransomware and an rm typed in the wrong terminal all take the backup down with the original. We ship encrypted backups off-site on a schedule and prove them with periodic restore drills.
Deploying without a way back
Many teams can push a release but cannot undo one, so a bad deploy at six in the evening becomes a debugging session at midnight. The way back has to be designed before the failure. Every pipeline we build health-checks the new release and reverts to the last good one automatically when the check fails.
Upgrading the server to hide a slow query
When an app slows down, the reflex is a bigger instance, which works for a month and doubles the bill. The real cause is usually a missing index or a query that grows with your data. We look at the metrics first and scale hardware only once the software is actually efficient.
—— Ways to engage
Three ways to start with us.
Infrastructure audit
A fixed-scope, read-only review of your servers, pipelines, backups and monitoring. You get a ranked list of findings with the effort each fix takes, usable whether or not you hire us for the fixes.
- Servers, DNS, TLS, backups and access reviewed without changing anything
- Findings ranked by risk, with effort estimated per item
- A written report any competent provider could execute — no lock-in
Pipeline and platform build
A scoped project that takes you from manual deployments to a containerised setup with CI/CD, monitoring and tested backups. Fixed written scope, one engineer end to end.
- Containerised app with staging and production environments
- CI/CD with health checks and automatic rollback
- Runbooks and a handover session for your team
Operations retainer
Monthly operation of what we built or what you already run: patching, monitoring response, restore drills and small improvements, with a report you can read in five minutes.
- OS and dependency patching on a fixed schedule
- Regular restore drills with the duration recorded
- A monthly report: incidents, changes, costs and what we recommend next
Your implementation partner
A partner, not a licence reseller.
We are not chasing licence volume — we design, build and stay accountable for systems that companies run their operations on. The consultant who scopes your project stays through go-live and the support that follows, and everything we commit to is written into a fixed scope per phase.
—— What done looks like
Outcomes you can verify yourself.
Anyone on the team can release
Deployment becomes one command or one button, documented well enough that a new hire can do it in their first week. You can verify this by asking one to.
A restore you have watched happen
Before we call the work done, we restore a backup in front of you and note how long it took. Disaster recovery becomes a number you have seen, not a clause in a contract.
Infrastructure you can read
Servers, services and pipelines are defined in files in your repository, not in someone's memory. A competent engineer who has never met us can understand the setup from the repo alone.
Alerts arrive before complaints
Monitoring is wired to named people, and every incident leaves a timeline you can review afterwards. When something breaks, you learn it from your own systems, minutes before any customer would have told you.
—— How we work
What the engagement looks like.
Containerise
The app runs identically on a laptop and in production, which removes the entire class of "works on my machine".
Automate the pipeline
Lint, typecheck, test, scan, build, deploy, health-check, roll back on failure. No manual step to forget.
Observe
Logs, metrics and alerts wired before the first release, so an incident is diagnosed rather than guessed at.
—— Why us
What you get that you would not elsewhere.
Rollback is automatic
A failed health check reverts to the last good release without anyone waking up.
Isolated from your other sites
On a shared server we scope networks, ports, users and volumes so a new deployment cannot disturb what is already live.
Backups that are tested
Scheduled restores into a scratch environment prove the backup before you need it.
Not sure where to start? A short call sorts it.
Talk to an Odoo specialist ➜—— Why us
What working with us is actually like.
One engineer, first call to go-live
The person who audits your server is the person who builds the pipeline and hands it over. Nothing gets lost between a salesperson's promise and an engineer's delivery, because they are the same person.
Fixed written scope, per phase
Every phase has a written scope agreed before work starts, so "done" is a checklist, not a feeling. If we discover something mid-phase, we tell you and re-scope in writing rather than absorbing it into a vague bill.
Runbooks in Thai and English
We deliver natively in Thai and English, so the runbook your admin opens at two in the morning is in the language they actually think in. That difference shows up exactly when it matters most.
Three time zones, one team
Offices in Bangkok, New York and Delhi NCR mean our working day covers most of the clock. A question sent at the end of your day is often answered before you start the next one.
We know Odoo's plumbing
As an official Odoo Partner we deploy Odoo for clients constantly, so our pipelines already handle its quirks: filestore volumes, worker counts, cron containers and safe database copies for staging. Generic DevOps shops learn these on your invoice.
Everything in your name
Cloud accounts, domains, registries and repositories are opened under your ownership, and we work with access you grant. If we part ways, you revoke access and keep everything — which is how it should be.
We size down before we size up
Our incentive is a system you can afford to run for years, not a big first invoice. When a modest VPS does the job, that is what we recommend, in writing, with the reasons.
Licence honesty, infrastructure honesty
We tell clients when Odoo Community at $0 covers their needs, and Enterprise is billed by Odoo directly with no markup from us. Infrastructure gets the same treatment: providers bill you directly, and our fee is the scoped work with nothing hidden inside it.
—— Partner tiers, explained
What an Odoo partner tier does and does not tell you.
Odoo ranks partners by certifications held and licence volume sold. A tier signals commitment to the programme — it does not tell you who will actually staff your project. Ask that question of any partner, including us.
Learning Partner
New to the programme, building their first certified consultants and reference projects. Not a red flag — everyone starts here — but ask for hands-on proof.
Official Partner
Certified consultants and active delivery. This is where we sit, enrolled through the India programme, delivering from Thailand, the USA and India.
Silver & Gold
Higher tiers earned mainly through licence sales volume and headcount of certified staff. A strong signal of scale — not automatically of fit for your project.
—— Who this is for
Built for your size, not resized for it.
Growing companies (5–100 people)
Most companies this size need reliability, not a platform team. The point is infrastructure that runs quietly while everyone does their actual job.
- A single well-configured VPS often covers everything, at a cost you barely notice.
- You get working deploys, monitoring and tested backups without hiring a full-time DevOps engineer.
- Fixed scope keeps the project inside your budget and the end date real.
- The retainer starts small and grows only when your systems do.
Mid-market (100–500 people)
At this size the questions change: several teams shipping at once, audits to pass, and downtime measured in real money. The work is more about process than about servers.
- Separate environments and review gates let several teams release without stepping on each other.
- Access control and audit logs are structured to answer PDPA and customer-audit questions.
- Cost reviews catch the oversized instances and forgotten resources that accumulate at this scale.
- Incident routines — alerting, escalation, post-incident notes — are set up and rehearsed with your team.
—— The toolkit
What this service usually touches.
—— Related
Explore what else we do.
—— FAQ
Questions teams ask about this service.
Can you work with our existing server?
Yes, and we audit it first in read-only mode. On a box with live sites we isolate everything and change nothing that is already running.
AWS, or something simpler?
Whatever matches your scale. A single well-configured VPS beats a misconfigured cloud account, and costs a fraction.
Do we need Kubernetes?
Probably not yet. Below a certain scale, Kubernetes adds operating cost without adding reliability, and a containerised setup with Compose gives you most of the benefit. We will tell you the specific conditions — team size, service count, traffic pattern — that would change our answer.
Who owns the accounts and access?
You do, always. Cloud accounts, domains and repositories are created in your name; we work through access you grant and can revoke. If the engagement ends, nothing needs migrating out of our accounts because nothing ever lived there.
Will the cutover to the new setup cause downtime?
We rehearse the cutover on staging first and run the new setup alongside the old one before switching traffic, usually via a DNS change with a short TTL. For most systems that means minutes of read-only time at a quiet hour agreed with you in advance, and the old setup stays intact as the rollback path.
Who answers when an alert fires at night?
That depends on what you buy, and we put it in writing either way. A build project ends with alerts routed to your team plus runbooks for the common cases; the operations retainer adds our response within agreed hours. Our offices in Bangkok, New York and Delhi NCR make wide coverage practical, but we commit to specific hours, not vague promises.
Is this only for Odoo systems?
No. Pipelines, monitoring and backups work the same for any web application, API or database, and we build them for non-Odoo systems as well. Odoo experience is a bonus here, not a limitation: if you run Odoo alongside other apps, one setup can serve them all.
Let's find out whether Odoo actually fits your business.
A short call, an honest answer. If it isn't the right system for you, we'll say so.