Service
AWS Development Services
Seditio Asia provides AWS development services across EC2, Lambda, S3, RDS and SageMaker — designing, building and operating cloud applications for organisations whose infrastructure, enterprise agreements or machine-learning workloads point to Amazon Web Services.
For many enterprises, AWS is not a choice to be made but a reality to be built on well — the existing estate, the enterprise agreement and the internal skills already live there. The question that matters is whether new applications exploit AWS properly: serverless where it saves money, managed services where they save people, and architecture that uses the platform's depth without drowning in it.
Seditio builds and operates AWS workloads alongside its Google Cloud portfolio, working across EC2 for reserved compute, Lambda for event-driven and serverless components, S3 for object storage, RDS for managed relational databases and SageMaker for machine-learning workloads. The same delivery discipline applies on either cloud: senior architectural review, continuous deployment and platforms operated for the long term at 99.5%+ uptime across our managed estate.
AWS services we work with
We concentrate on the core services that carry most production systems, and design each architecture around the smallest set of them that does the job — because every additional service is something a team must secure, monitor and pay for.
- EC2 — virtual machine workloads, right-sized and automated
- Lambda — serverless functions for APIs, integrations and event-driven processing
- S3 — object storage for documents, media and data pipelines
- RDS — managed PostgreSQL and MySQL with backup and recovery designed in
- SageMaker — training and deploying machine-learning models in production
One engineering standard across clouds
Cloud platforms differ; engineering discipline should not. Whether a system runs on AWS or Google Cloud, it gets the same treatment from us: containerised applications, infrastructure managed through code and CI/CD, monitoring and alerting from the first deployment, and senior review of every significant design decision. We also maintain working familiarity with Microsoft Azure and Alibaba Cloud, which matters for enterprises operating across multiple regional agreements.
For AI-driven products, SageMaker rounds out our LLM and machine-learning practice — giving clients a managed path to training, hosting and monitoring models inside the same AWS account that runs the rest of their platform.
AWS delivery from the centre of Asia-Pacific
AWS's regional footprint across Asia-Pacific supports deployments close to users in Singapore, Australia, Hong Kong and beyond. Our Cebu engineering team works those same business hours, so AWS builds, releases and incident response happen inside your working day — with European engineering standards and founder-level oversight behind every engagement.
Frequently asked questions
- We are already on AWS — can you extend our existing environment?
- Yes. We regularly build within established AWS accounts, respecting existing networking, security and governance arrangements. We start with an architecture review of the current environment, then agree how new workloads integrate with what is already running before writing code.
- Do you build machine-learning systems on AWS?
- Yes. SageMaker is part of our AI practice alongside LLM integration, RAG and agentic frameworks. It suits organisations that want model training and hosting managed inside their existing AWS estate rather than scattered across additional vendors.
- Can you operate our AWS platform long term?
- Yes — long-term operation is our default model, not an add-on. We run continuous deployment, monitoring and incident response for the platforms we manage, sustaining 99.5%+ uptime across the portfolio, while you retain ownership of the AWS account and everything in it.
Related services
Build well on AWS
Whether you are extending an existing estate or starting fresh, we will give you a straight architectural assessment before anything else.
Discuss Your AWS Project