DevOps and Cloud Infrastructure Services

Cloud migration means moving your software, data and supporting systems off servers in your office or an older hosting provider onto a cloud platform such as AWS, Azure or Google Cloud. Done well, it removes the work of running hardware, makes scaling and disaster recovery easier, and lets your team reach the system securely from anywhere. We migrate in stages and keep the old environment running until the new one is verified, so the service stays up and no data is lost.

We work with AWS, Microsoft Azure and Google Cloud as the primary platforms, and with regional or on-premise environments where a project requires them. We do not push a house favorite. The recommendation depends on your data residency requirements, your existing Microsoft or Google estate, the managed services your workload needs and the skills of the team who will live with the system. When a client arrives with a platform already chosen, we work within it rather than proposing a migration for its own sake.

In many cases, yes. AWS, Azure and Google Cloud all operate Gulf-region data centers, including regions in the UAE, Qatar, Bahrain and Saudi Arabia, and all three offer UK and EU regions for European clients. Where no acceptable in-country region exists, or where policy demands it, we deploy to servers hosted inside your country or on your own premises. We confirm residency requirements in writing during scoping so the architecture is designed around them rather than patched afterwards.

CI/CD stands for continuous integration and continuous delivery. In plain terms, it is an automated assembly line for software. Each time a developer finishes a change, the pipeline builds the software, runs the tests and prepares a release automatically, instead of someone doing those steps by hand. The practical result is that releases become small, frequent and boring: less waiting, fewer human mistakes, and the ability to roll back quickly when something goes wrong.

In layers. Data is encrypted in transit and at rest, access follows least privilege with named accounts, networks are closed down to the traffic a system actually needs, and servers are patched and checked for known vulnerabilities on a schedule. Backups are automated, stored separately and restore-tested. Where GDPR or local data-protection rules apply, the hosting region and data handling are agreed in writing during scoping. Our wider practices are set out on the security and data protection page.

Often, yes, because most cloud accounts that have grown organically carry waste: oversized servers, unattached storage, forgotten test environments and workloads running at full size around the clock. We start with a cost audit that maps spending to actual usage, then apply rightsizing, scheduling, storage lifecycle rules and committed-use pricing where they fit. We will not promise a specific saving before we have seen the account, and if the bill is already lean we will tell you so.

Both models are available and the choice is yours. Some clients want a managed arrangement in which we monitor, patch and operate the environment under an agreed support plan. Others want us to build the platform, document it and hand it to their internal team, with training so the handover sticks. Many start managed and take ownership gradually as they hire. Everything we build is documented and defined as code, so you are not locked to us either way.

Preparation comes first: monitoring and alerting are set up so problems are detected by systems rather than by your customers, and runbooks document the response to known failure modes. When an incident happens, the on-call arrangement in your support plan applies: triage, mitigation to restore service, then root-cause work once things are stable. After any significant incident we write a short post-incident review covering what happened, why, and which changes prevent a repeat. Response coverage and hours depend on the support tier you choose.

Yes. Cloud-to-cloud migrations are a normal part of our work, usually driven by cost, data residency or a group-level platform decision. The approach is staged: we map every workload and dependency, containerize or re-platform what needs it, move data with verified integrity checks, run the old and new environments in parallel, and cut over in controlled steps with a rollback plan for each. Workloads already defined as code and running in containers move fastest; heavily platform-specific services need more redesign.

You need a small amount of it, not the enterprise version. Even a two-person team benefits from an automated pipeline that builds and tests every change, automated backups that are proven restorable, and basic uptime monitoring with alerts. That foundation is light to set up and it prevents the most common small-team disasters: broken releases and lost data. Heavier practices, such as multi-environment promotion or dedicated on-call rotations, can wait until your team size and traffic justify them.