What we deliver
Twara Technologies builds applications designed for the cloud from the start: services packaged in containers or written as serverless functions, connected through APIs and events, backed by managed data services and deployed automatically. We take responsibility for the architecture, the code, the infrastructure definitions and the pipelines, and we build observability and security in from the first release.
The Cloud Native Computing Foundation’s definition of cloud native lists containers, service meshes, multi-tenancy, microservices, immutable infrastructure, serverless and declarative APIs among the techniques typically involved, and characterises the approach by loosely coupled systems that interoperate in a way that is secure, resilient, manageable, sustainable and observable. We treat those as tools to be selected, not a checklist to be completed.
Typical scope
- New products and platforms built on cloud-native services.
- APIs and back ends for web and mobile applications.
- Event-driven processing: file ingestion, notifications, scheduled jobs, data pipelines and integrations with third-party systems.
- Breaking specific capabilities out of an existing application into independent services.
- Multi-tenant SaaS foundations, including tenant isolation, identity and per-tenant configuration.
Technologies we work with
| Area | Options | When each makes sense |
|---|---|---|
| Serverless compute | AWS Lambda, Azure Functions, Google Cloud Run functions | Event-driven or bursty workloads, scheduled tasks and lightweight APIs. |
| Managed containers | AWS Fargate with ECS, Azure Container Apps, Google Cloud Run | Long-running HTTP services and workers without managing a cluster. |
| Kubernetes | Amazon EKS, Azure Kubernetes Service, Google Kubernetes Engine | Many services, platform-level needs or a strong requirement for portability. |
| Messaging and events | Amazon SQS, SNS and EventBridge, Azure Service Bus, Google Pub/Sub, Apache Kafka | Queues for work distribution; event buses and streams for fan-out and replay. |
| Data | PostgreSQL and MySQL as managed services, DynamoDB, Cosmos DB, Firestore, Redis | Relational databases by default; document or key-value stores where access patterns call for them. |
| Languages | TypeScript on Node.js, Python, Java, Go, C# on .NET | Matched to your team’s skills and the libraries the problem needs. |
How we approach it
- Understand the domain. We model the business capabilities and data first, because service boundaries drawn around technology rather than the business tend to age badly.
- Design for failure. Timeouts, retries with back-off, idempotent handlers and dead-letter queues are designed in, so partial failures are contained.
- Follow proven conventions. The Twelve-Factor App methodology, with principles such as storing configuration in the environment, running stateless processes and treating logs as event streams, remains a useful baseline for services that are easy to deploy and scale.
- Deliver incrementally. A thin, working slice reaches a real environment early, then features are added in short cycles with automated tests and deployments.
- Prepare for operations. Before launch we load-test critical paths, confirm alerting and rehearse recovery from common failures.
Quality and security
- Identity everywhere. Each function and service runs with its own narrowly scoped permissions; nothing shares an all-powerful role.
- Secure APIs. Authentication, authorisation checks on every request, input validation and rate limiting at the edge. We review designs against the OWASP Top 10:2025, where broken access control is the first-listed category.
- Observability by default. We instrument services with OpenTelemetry, a vendor-neutral CNCF project covering traces, metrics and logs, so you can change monitoring back ends without re-instrumenting code.
- Testing at the right levels. Fast unit tests for logic, contract and integration tests for service boundaries, and a small number of end-to-end tests for critical journeys.
- Cost awareness. Resources are tagged from day one and cost alerts are set before launch.
What we need from you to start
- The business problem and the outcomes that matter, rather than a fixed technical specification.
- Expected users, traffic patterns and growth, even as rough ranges.
- Constraints such as data residency, compliance requirements and preferred cloud provider.
- A product owner who can make decisions about scope and priorities.
Engagement options
- Architecture and proof of concept: a short engagement to validate a design and its running cost before full investment.
- Product build: Twara Technologies delivers the application end to end and hands over with documentation.
- Team extension: our engineers join your team to accelerate delivery and share cloud-native practice.
- Build and run: development followed by managed cloud operations under one arrangement.
Contact us to discuss what you are planning to build.