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IBISYS
Capabilities

Cloud and infrastructure

What everything else runs on, from the delivery pipeline to the machines.

the business problem

Most teams do not have a deployment problem. They have a confidence problem.

When nobody can say what a release contains or how to undo it, the rational response is to release rarely. Releasing rarely makes each one larger, and each one larger makes it more dangerous, which is an argument that ends where it started.

Underneath that sits the infrastructure itself. Plenty of organisations cannot put everything in someone else's cloud, for reasons of regulation, latency, cost at scale, or an unwillingness to hand the core of the operation to a company free to change its pricing.

Either way the result is the same: the thing everything depends on is understood by very few people and documented by nobody.

what we provide

  • Automated build, test and release, so the path to production is one path
  • Security checks inside the pipeline rather than in a report read afterwards
  • Cloud architecture, and honest advice on what should not go there
  • Server installation, configuration and ongoing administration
  • Backup and recovery, verified by actually restoring from it

typical engagements

Delivery pipeline

Taking the release decision out of the room. Changes built, tested and shipped the same way every time, with going back a routine action rather than an incident.

Cloud architecture and migration

Designing what should run where, moving it, and being clear about the parts that are better left alone.

Infrastructure build-out

Power, cooling, network layout, servers. Unglamorous work that decides whether everything above it stays up.

Taking over what exists

Inheriting infrastructure nobody has documented, starting with an audit because the first task is finding out what it does.

how we approach it

We automate the most dangerous manual step first.

The risk drops before the project finishes, which matters because infrastructure work is rarely given the luxury of a quiet quarter.

We write down what we did. Infrastructure only its installer understands is a single point of failure wearing a rack, and the failure arrives when that person is unavailable.

reference architecture

How we lay out an environment

A reference model rather than any client's system. Each layer answers a different question about what happens when something stops.

  1. 01

    Delivery

    How a change reaches production, how it is tested on the way, and how it comes back out.

  2. 02

    Runtime

    Where the application actually executes, and what happens to traffic when part of it fails.

  3. 03

    Network

    What can reach what. Segmented rather than flat, because flat networks are one mistake away from total.

  4. 04

    Storage and recovery

    Where state lives, how it is backed up, and the last time someone restored from that backup successfully.

  5. 05

    Access

    Granted by role and reviewed, rather than accumulated by whoever once needed it.

technologies

  • Docker
  • GitHub Actions
  • Cloudflare
  • PostgreSQL

questions

Should we move everything to the cloud?
Usually not everything. Regulation, latency, cost at scale and control are all legitimate reasons to own machines, and a supplier who recommends full migration in every case is not reading your situation.
How quickly does this pay for itself?
The pipeline work usually shows within weeks, because the cost it removes is the hours around each release and the incidents caused by rare, large deployments. Infrastructure build-out is a longer horizon and procurement, not us, sets most of it.
What is DevSecOps, in practice?
Security checks running inside the delivery pipeline rather than as a review afterwards. In practice it means a change carrying a known vulnerability does not reach production, instead of being found in a quarterly report.
Do you stay on afterwards?
If you want us to. The aim is that you do not need to, which is why the handover includes the documentation and the rehearsal rather than just the credentials.

Bring us the problem.

We start with a working session on your actual operation, not a generic pitch. You leave it knowing what is happening, what is worth fixing first, and what the path forward looks like.