Cloud hosting

Cloud hosting is a model in which your application runs on flexible cloud resources rather than a single, fixed virtual machine. In practice, it’s easier to match computing power to current demand and expand the environment as the system grows.

A VPS is typically a single virtual machine with defined parameters (CPU/RAM/disk). It works well as a starting point, but larger requirements often expose its limitations. Scaling becomes more difficult, there is a higher risk of a single point of failure, and the client experiences more operational overhead.

Cloud hosting makes sense when flexibility, rapid changes, and fault resilience are priorities: particularly for systems that grow, experience traffic spikes or must operate 24/7. It’s a strong choice for mission-critical applications where you want the ability to scale without migrating to a new server.

A dedicated server often wins when the load is stable and predictable, and the priority is maximum control and performance on a single, powerful machine. For some systems, this delivers the best cost-to-performance ratio: particularly when short-term scaling isn’t needed.

Centuria Cloud is a cloud in the practical sense. A platform where your environment can be developed and scaled without building everything from scratch on a single machine. The key difference is that we don’t sell just an instance; we sell a way of operating it: architecture designed for availability, operational processes, monitoring, and incident response.

A VPS is typically a single VM with fixed parameters and responsibility resting primarily with the client. With Centuria Cloud hosting, we take ownership of operations and maintenance standards, allowing you to treat the infrastructure as a stable foundation for a mission-critical system rather than something requiring constant manual attention.

Cloud hosting is best suited for systems that are business-critical and must perform predictably, even as load changes. Typical examples include e-commerce (peaks, campaigns, seasonality), SaaS (24/7 service), transactional and integration systems in FinTech, and applications where downtime halts business processes (CRM/ERP/WMS/PIM, logistics, customer service).

 If the application is growing, experiences periodic traffic spikes, or requires rapid provisioning of new environments (dev/stage/prod), cloud hosting usually delivers the most value. For small, stable services with minimal operational requirements, a VPS or simpler model is often sufficient.

No. Cloud hosting provides the tools and flexibility, but high availability doesn’t just happen. It must be designed. That means deciding which components require redundancy (application, database, cache, network), how failover should work, and what the realistic availability targets are.

That is why we begin by defining business and technical requirements (what is critical, what downtime is acceptable), and then design the architecture accordingly. Without this, your cloud environment behaves no differently to a single machine, and its potential goes to waste.

We build HA in layers, depending on what the application requires. Most commonly, this includes redundancy of the application layer (multiple instances with load balancing), and in more demanding cases also redundancy of databases and supporting services (cache/queues).

Failover means that if one component stops working, traffic or the service role is switched to a functioning instance. Crucially, we don’t sell a single “HA template” for everyone: we first define failure scenarios and recovery objectives (RTO/RPO), and only then configure the system so that failover is predictable rather than accidental.

It depends on the architecture agreed upon for your system, but the goal is always the same: a single component failure must not halt the entire service. In an HA-ready environment, traffic can be rerouted to active application instances, and supporting services (cache, queues, database) have a planned failover or recovery scenario.

Most importantly, we follow a defined procedure: detection → impact assessment → remediation/failover → communication → post-incident analysis.

This prevents a failure from turning into chaos, and you receive clear information about what happened and what actions are being taken.

We respond in accordance with the agreed incident priority and service scope: in the managed model, we take responsibility for the infrastructure and maintenance layer. Importantly, we don’t pass the problem on; it stays on our side, while you get clear status updates and a plan of action.

If the incident involves your application (e.g. a post-deployment error), we work with your development team: we help diagnose issues across infrastructure, logs, and metrics, while ensuring the environment stays stable and the impact on users is minimised.

We design backup policies around each systems requirements, because a one-size-fits-all approach typically fails at the worst possible moment. We start by establishing what is critical (databases, files, configurations), how frequently backups should be taken, and how long they need to be retained. Only then do we select mechanisms and schedules.

In practice, three aspects matter: regularity of backups, retention periods aligned with business needs, and whether recovery is realistically achievable within the expected time. That is why backup is treated as an operational process, not a one-time configuration.

We start with the fundamentals that have the greatest impact: access control (MFA, roles, principle of least privilege), system hardening and updates, and network segmentation. This is complemented by event logging and monitoring to catch anomalies and gather the data needed to diagnose incidents.

If the system is exposed to internet-facing attacks, we add perimeter protection (WAF, anti-DDoS mechanisms, rate limiting). Security is treated as a layered approach and an ongoing process, not a single feature.

Yes, this is a very common model. Your team develops the application and plans releases, while we maintain the underlying environment: resources, security, monitoring, backups, updates, and incident response. This means developers don’t need to deal with server administration, and deployments become safer and more predictable.

If needed, we can also integrate the deployment pipeline (CI/CD in GitLab), establish environment standards (dev/stage/prod), and define change management practices to ensure smooth collaboration between both teams.