Service
Cloud-Native Application Development
Seditio Asia designs, builds and operates cloud-native applications on Google Cloud and AWS — serverless-first architectures, managed databases, containerised workloads and continuous deployment — with the platforms we manage running at 99.5%+ uptime.
Cloud-native is not a hosting decision; it is an architectural one. Applications designed for the cloud scale automatically, deploy continuously, recover from failure without heroics and cost in proportion to what they actually use. Applications merely moved to the cloud carry their old constraints with them — and usually a larger invoice. The difference is decided at design time, which is why cloud experience belongs in the architecture room, not just the operations room.
Seditio has been building on cloud-native foundations across its entire portfolio: serverless workloads on Google Cloud Run, managed SQL databases, hosted virtual machines where they are the right tool, and continuous deployment pipelines on every platform we operate. That operating discipline — running production systems for years, not just launching them — is what keeps our managed platforms above 99.5% uptime.
What cloud-native means in practice
Every engagement starts from the workload, not the buzzword. Some systems belong on serverless containers that scale to zero; some need reserved compute; most need a considered mix. We design for the operational reality of each application — traffic patterns, data volumes, compliance constraints and the team that will run it.
- Serverless application architecture on Google Cloud Run and AWS Lambda
- Managed relational databases — Cloud SQL, RDS — with backup and recovery designed in
- Containerised workloads with Docker, Kubernetes and CI/CD pipelines
- Event-driven and API-first system design
- Monitoring, alerting and cost-optimisation from day one
Built by people who operate what they build
Many agencies hand over a deployment diagram and leave. Seditio operates the platforms it builds — healthcare, property, travel and B2B SaaS systems serving customers in multiple countries — so our architectural choices are tested against years of production reality, not slideware. Senior engineers, including our founder and CTO, review every significant infrastructure decision.
We are also pragmatic about multi-cloud. Google Cloud is our primary platform, AWS is a close second, and we maintain working familiarity with Microsoft Azure and Alibaba Cloud for organisations whose enterprise agreements or regional requirements point that way.
Cloud architecture for Asia-Pacific deployment
Asia-Pacific applications face regional realities: users spread from Manila to Sydney, data-residency preferences in markets like Singapore, and latency budgets that punish a single-region deployment in the wrong place. We architect with regional cloud deployment and edge-aware delivery in mind, so serving a new market well is a configuration decision rather than a re-platforming project.
Frequently asked questions
- Should we choose Google Cloud or AWS?
- It depends on your workloads, existing agreements and team skills — and we will give you a vendor-neutral answer. Seditio builds and operates production systems on both: Google Cloud is our primary platform for serverless-first SaaS work, while AWS suits organisations already invested in its ecosystem or needing specific services such as SageMaker. We also hold working familiarity with Azure and Alibaba Cloud.
- Can you migrate an existing application to the cloud?
- Yes. We audit the current system, then plan an incremental migration — typically re-platforming the highest-risk or highest-cost components first — so the application keeps serving users throughout. Where a straight lift-and-shift is the sensible first step, we say so, and design the modernisation path from there.
- Do you provide ongoing cloud operations after launch?
- Yes, and it is where much of our value sits. We run continuous deployment, monitoring and incident response across every platform in our portfolio, maintaining 99.5%+ uptime. Clients can hand us full operational responsibility or have us work alongside their internal team.
- How do you control cloud costs?
- Architecture first: serverless components that scale to zero, right-sized managed databases and workload-appropriate compute prevent most waste before it happens. We then instrument spend per service so cost anomalies surface early, and review usage as part of routine platform operation.
Related services
Build on cloud foundations that hold up in production
Tell us about your application or migration. We will respond with an honest architectural assessment from engineers who operate cloud platforms daily.
Discuss Your Cloud Project