Information system architecture

Layer architecture, the FE and BE division, micro-services, a more detailed view of the backend structure.

Fundamental concepts of the backend system architecture

Services (uuCMDs), model/dao/data entity persistence, authentication, authorisation, error handling, scaling etc.

Object-oriented analysis and design

Principles of assigning responsibility, high cohesion, tow coupling.

How to create and describe the backend design correctly

A typical design structure, tools, essential patterns.

Basic design levels, the design structure

Conceptual design, detailed design.

Conceptual design

Describing the architecture, examples.

Detailed design

The documentation of services and their internal implementation.

Ways of backend implementation

The most frequently used technologies and their comparison, examples.

A detailed look at implementing backend in NodeJS/JavaScript

Implementing basic elements of backend architecture, service implementation (REST services), Data Access Object, database connection, transaction.

Implementing further architecture backend concepts

Authentication and authorisation, error handling, validation, logging.

Relational database

Essential characteristics, advantages, disadvantages, the SQL language, transactions, normal forms.

Advanced concepts in a relational database

Indices, partitioning, SQL views.

Advanced SQL language use

Queries over multiple tables, sub-queries.

Non-relational databases

Basic types of non-relational databases and their characteristics – document, key-value story, object, RDF, when to use a given database type.

Document non-relational database

Basic principles, documents, collections, indices, queries, ensuring high performance and availability.

MonogoDB

Introduction, installation, basic operations, queries, indexing, replication, backup.

Advanced MongoDB use

Relations, database references, map reduce, using regular expressions, advanced indexing.

Backend testing principles

Test types (the commit phase: unit, componential, integrational; the acceptation phase: functional, performance, security), test automation, suitable tools and approaches.

Other relevant topics

Code revision, static code analysis.

Source code administration

Source code repository (GIT), versioning, branching. GitFlow.

Development pipeline. Continuous Integration, Continuous Delivery/Deployment, containerisation (Docker).