Managed IT when your infrastructure is not separable from your product
Most managed IT providers handle workstations and office software well. If your problem is a cloud running your product, that is a different skill, and the ticket usually lands with someone who does not read your code.
The gap between the MSP and the software team
A traditional managed service provider is good at workstations, mail and networks. It generally does not touch a deployment pipeline, an application database, or a cloud bill that tripled because a query changed.
A company that lives on software ends up with two suppliers and a grey zone between them, and the grey zone is exactly where the incidents happen. We hold that zone because the same team writes the code.
What we hold
Cloud infrastructure and environments, build and deployment pipelines, monitoring and alerting, domains and certificates, business mail, account and access management, backups and restores that have actually been tested.
And the part nobody enjoys: dependency updates, security patches and the housekeeping that decides whether the system still runs in three years. That work has no demo at the end, and it is the work that prevents bad weeks.
The cloud bill
A drifting cloud bill is almost always an engineering decision rather than a negotiation problem. A test environment left running, data never archived, a query scanning a whole table for six months.
We read it as an engineering signal. It is measurable, it is reversible, and it is often the first place a managed arrangement pays for itself.
What we are not
We are not a volume MSP with a call centre and a per-seat catalogue. If what you need is desktop support for a hundred users, a generalist will do it better and cheaper, and you should take that.
We fit where IT and product touch, and where whoever answers the incident needs to know what the code does. Scope, coverage hours and response times are set in the contract at scoping, because they depend on what you actually run. Publishing a uniform commitment before looking at your systems would be dishonest.
What is actually held gets decided at scoping. These are the most common starting points.
- Cloud and environmentsAzure, Docker, TerraformEnvironments, networking, backups, tested restores, tracked cost.
- Pipelines and deliveryGitHub Actions, staging environmentsBuild, test, deploy and a rollback that genuinely works.
- Monitoring and incidentsMetrics, logs, alertingKnowing before the customer does, and keeping a record of what happened.
- Domains, mail, accessDNS, certificates, accountsRenewals, MFA, named accounts, access review and removal.
- Routine securityPatching, dependencies, hardeningThe steady work with no end date that prevents the bad weeks.
Common questions
- Do you work on our tenant or yours?
- Yours, by default. Named accounts, your logs, your access controls, and a review at close. You should never depend on us to get your own rights back.
- Do you do user support?
- Not volume desktop support. We cover infrastructure, delivery and access. If you have a hundred users needing help with their laptops, a generalist MSP is the right call.
- What are your response times?
- Set in the contract, based on what you run and what downtime you can tolerate. We do not publish a uniform commitment because it would be wrong for half the cases.
- Can we start with an audit?
- That is often the right order. A review of infrastructure, access, backups and the cloud bill gives you a basis for the conversation, and sometimes concludes that you do not need us.
Describe what you run
Tell the scoping assistant what is running today and what wakes you up at night. It asks the questions a senior engineer would, then returns a scope estimate with a start date.
Scope a managed arrangement- Regression testing for critical user journeysCoverage protects nobody. Three rings of tests, a ten-minute rule, and the only metric worth putting on a wall.
- Payment idempotency for iDEAL and BancontactOne replayed webhook is enough to charge the same traveler twice. We explain the idempotency key design that makes it impossible, drawn from booking platforms we run in production with iDEAL and Bancontact.
- Industrial IoT data ingestion on Azure: the patternThe pattern that makes machine data ingestion into Azure survive real plant conditions: a queue between the shop floor and the cloud, priced in engineering days on our public rates.
- ERP and MES integration cost, estimated in daysThe method we use to estimate MES and ERP integration in engineering days, with a complete worked example priced from our public rate grid.
- IT staff augmentationNamed engineers inside your existing team, on a European working day, contracted through Belgium.
- Nearshore vs offshoreA straight comparison for European teams who already offshore and are weighing a move closer.
- Nearshore development teamA dedicated group that owns delivery end to end, from architecture through production support.
- CTO as a servicePart-time senior technical leadership, to arbitrate without a full-time hire.
- Cloud migrationInventory, batched cutovers and a tested rollback, so the move does not depend on luck.
- Infrastructure as codeEnvironments described in code, reviewed and rebuildable, instead of configured by hand once and never again.
- AI and chatbot engineeringModels integrated into software that has to run, with a straight answer on what will not work.
- Shopify developmentFor Shopify stores that have to talk to an ERP, a stock system or a payment flow.
- Data engineeringWarehouse, pipelines and reconciliation, so the numbers can be trusted.