Amazon Web Services
Compute, networking, databases, storage, identity and security on AWS, built to a design and operated day to day.
AWS, Azure and Google Cloud — moved, built and run
Cloud Engineering, Migration and Managed Cloud Services
We move workloads to AWS, Azure and Google Cloud, build the environments they run in, and keep them running afterwards — availability, monitoring, backup, identity and security included. Most of the work is what happens after go-live.
Cloud modernization
What a cloud migration plan should settle first
A useful plan decides what each workload should become, which dependencies move with it, how data will be cut over, and how the target environment will be secured, monitored and rolled back. AdventSys treats migration as an application and operating-model change, not only an infrastructure move.
We work across Amazon Web Services, Microsoft Azure and Google Cloud, and on hybrid architectures where part of the estate stays where it is — a database that cannot move for data-residency reasons, a licensed application tied to specific hardware, a plant system on the factory network. A hybrid design is a legitimate end state when identity, networking, monitoring and backup work consistently across both sides.
Migration is where most engagements start, not where most of the work is. Setting up environments, deploying into them, keeping them available, secure and backed up, and controlling what they cost is the larger part of what we do.
Platforms
AWS, Azure and Google Cloud
We work across all three. Which one suits you is usually decided by what you already own, where your data has to sit and what your team can operate day to day, rather than by a technical comparison.
Microsoft Azure
Azure environments that fit cleanly with Microsoft Entra ID and Microsoft 365, from landing zone through to day-to-day operations.
Google Cloud
Google Cloud builds and migrations run with the same operating model, monitoring and security as the rest of your estate.
Across a hybrid or multi-cloud estate we also run Terraform, Zabbix, Wazuh and OpenBao, so environments are defined once, monitored in one place, and share a single approach to secrets rather than three separate ones.
Cloud delivery
Cloud Engineering Services
Workload and dependency assessment
Mapping services, data flows, integrations, identity and scheduled jobs before decisions are made, so the plan is built on what is actually connected rather than on an out-of-date architecture diagram.
Migration and modernisation
Rehost, replatform or refactor, chosen per workload against value and risk, and moved in waves with the data cutover rehearsed before it is performed.
Environment and infrastructure setup
Networks, subnets, routing, firewall rules, compute, storage and DNS built to a design and defined as Terraform configuration, so the next environment is a repeatable run.
Application deployment
Getting applications into the environment with a repeatable route — pipelines, containerised or VM-based deployment, configuration separated from code, and releases that can be rolled back.
High availability and load balancing
Multi-zone deployment, load balancers in front of the tiers that need them, health checks that detect real failures, and auto-scaling sized against actual traffic.
Identity and authentication
Single sign-on, directory integration and federation across Microsoft Entra ID, AWS IAM, Google Cloud IAM, Keycloak and Active Directory, with role-based access and secrets held in a managed store rather than a configuration file.
Monitoring and observability
Metrics, logs and alerting across the estate, using native tooling or Zabbix and Wazuh where a hybrid estate needs one view. Thresholds set against real behaviour, and alerts routed to whoever acts on them.
Backup, restore and disaster recovery
Backup policies with retention matched to your obligations, restores tested rather than assumed, and a documented recovery position with an agreed recovery time and recovery point.
Infrastructure and application security
Network segmentation, security groups and firewall rules, encryption at rest and in transit, certificate and key management, patching, vulnerability scanning, web application firewall, and code scanned before it ships.
Managed cloud operations
Ongoing operation of the estate — patching, monitoring response, capacity management, change deployment, backup verification and cost review, against agreed response targets through a ticket portal.
Security
Securing the infrastructure and the application
Cloud providers secure the platform; everything you run on it is yours to secure. We work on both sides of that line.
Infrastructure security.
Network segmentation and private subnets so what should not be reachable is not. Security groups and firewall rules written to a design. Encryption at rest and in transit, with keys held in the platform's key management service. Managed certificate issuance and renewal. Private or bastion administrative access rather than public management ports. Scheduled operating system patching.
Identity and access.
Role-based access built around what each role needs, federation with your existing directory, multi-factor authentication on privileged access, service accounts scoped narrowly, and secrets held in a managed store rather than in configuration files or environment variables.
Application security.
Code scanned for vulnerabilities and insecure dependencies before release, a web application firewall in front of public services, security headers and transport configuration set correctly, and input handling reviewed on the paths that take untrusted data.
Detection and evidence.
Intrusion detection, file-integrity monitoring and log analysis across the estate, with alerting that reaches a person, and compliance reporting mapped to the frameworks your auditors ask about.
We hold ISO 27001 and ISO 9001 certification, and build to the standard we are audited against ourselves.
How we work
How we move a workload, and run it afterwards
We treat a cloud move as a dependency and operating-model change, not a hosting exercise — what moves together, how data is cut over, and how the environment is monitored, secured and supported once it is live.
Map workloads and dependencies
Application services, databases, scheduled jobs, identity, file exchange, third-party connections and network dependencies are mapped before migration waves are chosen, which exposes hidden coupling before it becomes a broken workflow.
Choose the smallest justified change
Some workloads move with minimal modification; others benefit from managed services or refactoring. We select rehost, replatform or refactor per workload, so a migration does not combine unnecessary application change with infrastructure change at the same time.
Plan cutover and steady-state operations
Rollback criteria, monitoring, backup, access, cost visibility and ownership are defined before cutover. Resources are then right-sized and automation improved using real workload behaviour rather than planning assumptions.
Optimise cost against real usage
The first month's bill is not the steady-state bill. Once there is production usage to look at, instances are right-sized, non-production environments get shutdown schedules, storage moves to the right tier, and committed-use or reserved pricing is applied where consumption is predictable — while protecting the capacity and resilience that matter.
Hand over something operable
Runbooks for the tasks that will need doing, monitoring and alerting already in place, backup and restore proven, access and ownership assigned by name, and a documented recovery position.
FAQ
Cloud migration questions teams usually resolve before cutover
How do you choose between rehosting, replatforming and refactoring?
Per workload. Rehosting is fastest when the application can move with little change. Replatforming makes targeted changes to use managed cloud services. Refactoring changes the architecture, and is justified when the scalability, resilience or maintainability gains are worth the engineering effort.
How can a cloud migration reduce downtime risk?
By mapping application dependencies, moving in controlled waves, rehearsing data movement, defining rollback criteria and validating the target environment before cutover. The plan should include operations and monitoring, not stop at infrastructure deployment.
Should applications be modernized before or after moving to the cloud?
Not every workload should be modernized during migration. Stable applications can often move first and be improved later, while systems with platform constraints may need changes before cutover. The decision rests on dependency risk, business urgency and the value the changes will create.
Can a hybrid cloud model be a long-term architecture?
Yes. Hybrid cloud can be a deliberate choice when data residency, latency, existing infrastructure or application dependencies make a full move impractical. The work that matters is consistent identity, networking, security, monitoring and deployment across environments.
What does your backup and disaster recovery setup involve?
Backup policies with retention matched to your regulatory and business obligations, automated and verified, with restores tested on a schedule. Disaster recovery goes further: an agreed recovery time and recovery point objective, an architecture that can meet them, and a rehearsal. We run our own production platforms with a separate disaster recovery site.
Do you provide managed cloud services after migration, or only the migration?
Both, and managed operations is the larger part of what we do. It covers patching, monitoring and alert response, backup verification, capacity management, change deployment, access administration and a regular cost review, against agreed response targets through a ticket portal.
Why choose AdventSys for cloud migration and modernization?
Because we start from the application rather than the platform, and stay afterwards. We work across AWS, Azure and Google Cloud, and on hybrid estates. We build the environment, deploy into it, make it available, monitor it, secure it, back it up and keep its cost under control — then either run it for you or hand it to your team with the runbooks.