We Build Full-Stack Applications
Full-Stack Application Development for You
We’re performing all stages of development process. From setting up and deploying a Kubernetes Cluster, adding an Ingress Router, configuring HELM templates, setting up telemetry and APM using an ELK stack, provisioning a managed database cluster, developing and deploying the backend and frontend applications, adding micro-services and connecting them via queues to full end-to-end testing, security configuration and assessment.
Frontend Architecture
SPA/PWA/Electron
Technologies used: Angular (for more structured and complex applications), React (for lightweight applications).
SSR
Technologies used: Next.js & React, Express.js & Angular (for instant rendering applications, where you need to perform SEO and speed).
Web Components
Technologies used: Angular Elements (for a safe, quick and distinct way of adding plug-ins to your existing application frontend. Or for extending functionality with an extra layer over it).
Micro Frontends
Technologies used: Single SPA (Angular, React), for when you need an extension for your created application, using other technology stack.
- Ametisa is there to ensure your website performs correctly.
- Queues (Micro-Services Architecture) RabbitMQ, AWS SQS (when it’s too complex to build integral application using branched logic).
- Classic Backend Architecture Technologies used: Express.js (your high performance API).
- Serverless Backend Architecture.
- AWS Lambda (Node.js); CloudFlare Workers (Node.js) – when you need a lightweight and affordable solution.
Ametisa is proud to help you covering all issues and reaching your goals.
Queues (Micro-Services Architecture)
Technologies used: Single SPA (Angular, React), for when you have already built an application and want to extend it with another technology.
Classic Backend Architecture
Technologies used: Express.js (your high performance API).
Serverless Backend Architecture
AWS Lambda (Node.js); CloudFlare Workers (Node.js) – when you are looking for a lightweight and low cost solution.
PostGreSQL (Relational)
When your data is highly structured and has a lot of relations.
MongoDB (Document)
When your data is semi-structured or unstructured and you don’t want to have too many relations.
Infrastructure
Technologies used: Managed and on-premises Kubernetes: we stick to the most popular and solid orchestration infrastructures in the world so your application can take any load and perform efficiently.
