Cloud Infrastructure Maintenance
Instances, storage, networking and the identity underneath them, kept current and kept tidy. Drift is corrected against the configuration you signed off rather than left to accumulate.
Not for the reason the brochures give. Teams move because capacity they can change in an afternoon is worth more than capacity they own, and because the alternative is another three-year hardware decision made on a guess.
Capacity that follows demand in both directions, so the quiet quarter costs less instead of paying for the peak you sized for last year.
A patch path you can audit rather than a maintenance window nobody can account for afterwards. Every change is logged against the workload it touched.
SOC 2, HIPAA and GDPR treated as build constraints rather than paperwork, with residency, retention and access settled in the architecture.
Failures that stay local. A region, a zone or a node going down takes a slice of the estate rather than all of it, and the failover is rehearsed before it is needed.
Run cost per service, measured monthly, so the bill is a number you agreed rather than one you discover at renewal.
Your engineers freed from the parts of the job that are not the product — the upgrades, the certificates, the capacity planning nobody enjoys.
Six things have to be somebody's job for a cloud estate to stay healthy. On most teams they are nobody's until something breaks, which is the expensive way to find out.
Instances, storage, networking and the identity underneath them, kept current and kept tidy. Drift is corrected against the configuration you signed off rather than left to accumulate.
Alerts tied to what users actually feel, not to every metric a dashboard can draw. When one fires, somebody is on it, and you get the account of what happened rather than a closed ticket.
Least privilege, encryption in transit and at rest, and an audit trail that answers a question by replaying a run instead of reconstructing one.
Operating systems, runtimes and dependencies patched on a schedule you know about, tested on a copy of the workload before they reach the one that serves traffic.
Backups that have been restored from, failover that has been exercised, and a recovery time you have seen measured rather than been quoted.
Landing zones, account structure, tagging and budgets set before the estate fills up, which is the only point at which any of that is cheap to change.
The platform decides most of what support looks like day to day — what the alerts are called, where the bill hides, which failure modes are common. These are the ones we run.
Most IBM Cloud estates exist because something regulated or something old has to stay where it is. Support here is as much about the boundary with the rest of the business as about the platform itself.
We run the VPC and the classic infrastructure beside each other where that is what you have, keep the entitlements straight, and treat the mainframe or the on-premises half as a first-class part of the estate rather than an exception.

What an hour of downtime costs is different in every one of these, and so is what it is worth preventing. The sector sets the alert thresholds, the recovery targets and how much of the estate has to stay hot.






Support that works is mostly a handover that worked. These six steps exist so that the first incident is something we have both already rehearsed rather than something we meet together at 3am.
We inventory what runs, what it depends on and who currently knows. The output is a map and an access list, not a diagram — and the gaps it exposes are usually the first thing worth fixing.
Response targets, maintenance windows, escalation paths and what counts as an incident, agreed in writing before anything is ours to carry.
Monitoring, alerting, backup verification and the on-call rota go live together. Each alert is tied to a runbook, because an alert without one is just a noise at night.
Every month we look at what fired, what was false, what cost more than it should have, and what the estate is drifting towards. Then we change something.
Uptime, incidents with their causes, patch coverage and run cost per service, in a report your finance team and your auditor can both read without us translating it.
The evidence an audit asks for, produced as we go rather than assembled in a panic: access reviews, change records, restore tests and retention proofs.
Ten years of running production systems on AWS, Azure, GCP and the smaller platforms, which is long enough to have met most of the ways each one fails.
Healthcare, fintech and logistics estates where the regulator, not the architecture, sets the recovery target. The sequence changes; the method does not.
Right-sizing and scheduling that cut the bill and the footprint at the same time, measured against what you ran rather than against what you were provisioned for.
We work to the numbers you care about — uptime, recovery time, run cost — and report against them monthly rather than against our own activity.
An on-call rota with a named escalation path, handed to your team with the runbooks so the cover is theirs as much as ours.
Tell us what you run and what it is costing you to keep it running. We will come back with what we would take on, what it would cost and what we would change first.

Onboarding an estate takes two to four weeks before we carry anything: inventory, access, monitoring and the runbooks. Cover starts the day that is finished, not the day the contract is signed.
Tell us what you are building, who it is for and when it needs to be live. You will get a written scope, a realistic range, and a named engineer on the call rather than a sales deck.

[Cloud Support And Maintenance]
Somebody has to own the cloud estate after the migration is finished — the patching, the alerts at 2am, the bill that creeps up a little every month. We take that on, with the runbooks written down and your own team on the handover from day one.
Not for the reason the brochures give. Teams move because capacity they can change in an afternoon is worth more than capacity they own, and because the alternative is another three-year hardware decision made on a guess.
Six things have to be somebody's job for a cloud estate to stay healthy. On most teams they are nobody's until something breaks, which is the expensive way to find out.
Instances, storage, networking and the identity underneath them, kept current and kept tidy. Drift is corrected against the configuration you signed off rather than left to accumulate.
Alerts tied to what users actually feel, not to every metric a dashboard can draw. When one fires, somebody is on it, and you get the account of what happened rather than a closed ticket.
Least privilege, encryption in transit and at rest, and an audit trail that answers a question by replaying a run instead of reconstructing one.
Operating systems, runtimes and dependencies patched on a schedule you know about, tested on a copy of the workload before they reach the one that serves traffic.
Backups that have been restored from, failover that has been exercised, and a recovery time you have seen measured rather than been quoted.
Landing zones, account structure, tagging and budgets set before the estate fills up, which is the only point at which any of that is cheap to change.
The platform decides most of what support looks like day to day — what the alerts are called, where the bill hides, which failure modes are common. These are the ones we run.
Most IBM Cloud estates exist because something regulated or something old has to stay where it is. Support here is as much about the boundary with the rest of the business as about the platform itself.
We run the VPC and the classic infrastructure beside each other where that is what you have, keep the entitlements straight, and treat the mainframe or the on-premises half as a first-class part of the estate rather than an exception.
Strongest where the work is data. If the estate is BigQuery, the pipelines that feed it and the services that read from it, the cost and the reliability questions are usually the same question.
We keep the project and folder layout something a second team can join, watch slot and storage spend against what the queries are worth, and keep IAM narrow enough that an audit is a report rather than an investigation.
Usually the shortest path when the business is already Microsoft, and usually the estate with the most hybrid left in it. Identity is where the support effort goes.
Entra, conditional access, the links that keep on-premises reachable, and governance set at the management group rather than argued about per subscription.
The widest estates and the widest bills. Most AWS support work is account structure, the blast radius between environments, and the quiet cost of things nobody turned off.
Control Tower or an organisation laid out by hand, guardrails that are enforced rather than documented, and a monthly pass over reserved capacity and savings plans against what you actually ran.
Almost always there because the database is. The support question is whether the rest of the estate can reach it cleanly and what happens on a patch weekend.
We manage Exadata and Autonomous Database maintenance windows, the compartment and policy model around them, and the interconnect to whichever other cloud the applications live in.
Small estates that have to stay simple and cheap. The failure mode here is not complexity, it is a droplet nobody has patched since it was created.
Managed Kubernetes and managed databases where they are worth it, snapshots and backups that have been restored from, and monitoring that does not cost more than the infrastructure it watches.
The practical choice when the business serves mainland China and latency or licensing makes anything else awkward. Support work is mostly compliance and the boundary with the rest of the estate.
We keep the ICP filing and the data-residency position straight, run the ECS and ACK side the way we would run any other platform, and keep the link back to your primary cloud monitored.
What an hour of downtime costs is different in every one of these, and so is what it is worth preventing. The sector sets the alert thresholds, the recovery targets and how much of the estate has to stay hot.






Support that works is mostly a handover that worked. These six steps exist so that the first incident is something we have both already rehearsed rather than something we meet together at 3am.
We inventory what runs, what it depends on and who currently knows. The output is a map and an access list, not a diagram — and the gaps it exposes are usually the first thing worth fixing.
Response targets, maintenance windows, escalation paths and what counts as an incident, agreed in writing before anything is ours to carry.
Monitoring, alerting, backup verification and the on-call rota go live together. Each alert is tied to a runbook, because an alert without one is just a noise at night.
Every month we look at what fired, what was false, what cost more than it should have, and what the estate is drifting towards. Then we change something.
Uptime, incidents with their causes, patch coverage and run cost per service, in a report your finance team and your auditor can both read without us translating it.
The evidence an audit asks for, produced as we go rather than assembled in a panic: access reviews, change records, restore tests and retention proofs.
Ten years of running production systems on AWS, Azure, GCP and the smaller platforms, which is long enough to have met most of the ways each one fails.
Healthcare, fintech and logistics estates where the regulator, not the architecture, sets the recovery target. The sequence changes; the method does not.
Right-sizing and scheduling that cut the bill and the footprint at the same time, measured against what you ran rather than against what you were provisioned for.
We work to the numbers you care about — uptime, recovery time, run cost — and report against them monthly rather than against our own activity.
An on-call rota with a named escalation path, handed to your team with the runbooks so the cover is theirs as much as ours.
Tell us what you run and what it is costing you to keep it running. We will come back with what we would take on, what it would cost and what we would change first.
Let's discussOnboarding an estate takes two to four weeks before we carry anything: inventory, access, monitoring and the runbooks. Cover starts the day that is finished, not the day the contract is signed.
That is the whole of this service. Monitoring, patching, backup verification, cost review and an on-call rota, on a monthly agreement with the response targets written into it.
Healthcare, fintech, logistics, retail and education most often. The regulated ones change the recovery targets and the evidence we produce, not the way the work is run.
A fixed monthly fee set by the size of the estate and the cover you need, agreed after onboarding so it is based on what is actually there. Incidents outside the agreed scope are quoted before they are started.
Multi-cloud estates, hybrid links that have to stay up, and data that cannot leave a jurisdiction are the normal case here rather than the exception. If something would be better rebuilt than supported, we will say so.