Cloud & DevOps.
Deploys that are boring, and bills you can explain.
Drema builds and operates cloud infrastructure so that shipping is routine rather than an event. That means infrastructure defined as code, automated pipelines with a real rollback path, monitoring that alerts on symptoms users feel, and a cloud bill someone can actually account for line by line.

Deploys that are boring, and bills you can explain.
What usually
goes wrong.
Deployment is a manual ritual one person knows how to perform. Infrastructure was configured by hand two years ago and cannot be reproduced. Nobody knows why the bill went up 40%, and the first sign of an outage is a customer email.
Everything that ships
with this work.
Not a menu to choose from. Each piece is here because leaving it out is what makes this kind of project fail six months later.
Infrastructure as code
The entire environment defined in version control, reproducible and reviewable, with no undocumented console changes.
CI/CD pipelines
Automated test, build and deploy with staged environments and a rollback that has been rehearsed.
Observability
Metrics, logs, traces and alerts tuned to user-facing symptoms rather than noisy resource thresholds.
Security baseline
Least-privilege access, secret management, network boundaries and encryption in transit and at rest.
Cost optimisation
Right-sizing, scheduling and commitment planning, with spend attributed to services and teams.
Backup and recovery
Automated backups and a restore procedure that has been tested, not merely configured.
The order matters more
than the tools.
Most of what separates a project that lands from one that stalls is sequence. This is the order we work in, and why each step comes where it does.
- 01
Audit
Document what exists, what is reproducible, where the security gaps are and where the money goes.
- 02
Codify
Bring the existing environment under infrastructure as code before changing its behaviour.
- 03
Automate delivery
Pipelines with checks and staged rollout so deployment stops depending on one person.
- 04
Instrument
Alerting on what users experience, with runbooks attached to each alert.
- 05
Optimise
Cost and performance tuning once the system is measurable and safe to change.
Where this gets
put to work.
The situations this service is built for. If one of these sounds like your problem it is worth a conversation — and if none of them do, say so on the call and we will point you at what would actually fit.
Escaping manual deploys
Replacing a fragile release ritual with an automated, reversible pipeline.
Cloud cost reduction
Finding and removing the overprovisioning that quietly accumulates over years.
Scaling for growth
Preparing infrastructure for a launch or seasonal peak before it arrives.
Compliance readiness
Access control, audit logging and encryption ahead of a security review.
Have a use case that is not on this list? That is usually the interesting one.
Chosen to fit,
not to impress.
We pick tools that suit the problem and that your team can maintain after we hand over — never to pad a capability list.
Questions we
get asked.
Straight answers, including the ones that talk you out of work we would otherwise be paid for.
Do we need Kubernetes?
Most teams do not. It solves real problems at genuine scale and imposes significant operational overhead below that. We recommend managed platforms or container services for the majority of clients and will tell you plainly when Kubernetes is not justified.
Can you reduce our cloud bill?
Usually, yes. The recurring wins are right-sizing overprovisioned instances, removing orphaned resources, adjusting storage tiers and committing to capacity you reliably use. We start with an audit so the savings are measured rather than promised.
Will we be locked into you?
No. Infrastructure lives as code in your repository, in your cloud accounts, with your credentials. Any competent DevOps engineer can take it over, which is deliberate.
How do you handle secrets?
In a managed secret store with scoped access and rotation, never in environment files committed to a repository. Auditing existing secret handling is part of the initial assessment because it is a frequent exposure.
Can you work with our existing infrastructure?
Yes, and that is the usual case. We bring what exists under code first rather than proposing a rebuild, because a migration you did not ask for is rarely the fastest route to stability.
What does ongoing support look like?
Options range from an on-call arrangement to periodic reviews, or simply handing over to your team with documentation and runbooks. We are equally comfortable with the last one.

Talk it through with a founder.
Bring the actual problem. You will get a straight answer on whether cloud & devops is the right approach
— including when it is not.



