Java was designed to be easy to use and is therefore easy to write, compile, debug, and learn than other programming languages. This allows to create modular programs and reusable code. One of the most significant advantages of Java is its ability to move easily from one computer system to another.
Spring Framework is a powerful lightweight application development framework used for Enterprise Java (JEE). It can be described as a complete and modular framework. The Spring Framework can be used for all layer implementations of a real-time application. It can also be used for the development of a particular layer of a real-time application.
Spring Security is a powerful and highly customizable authentication and access-control framework. It is the de-facto standard for securing Spring-based applications. Spring Security is a framework that focuses on providing both authentication and authorization to Java applications. The real power of Spring Security is found in how easily it can be extended to meet custom requirements.
Hibernate is an Object-Relational Mapping (ORM) solution for JAVA. It is an open source persistent framework. It is a powerful, high-performance Object-Relational Persistence and Query service for any Java Application. Hibernate maps Java classes to database tables and from Java data types to SQL data types and relieves the developer from 95% of common data persistence related programming tasks.
The Java Persistence API (JPA) is a standard API for accessing databases from within Java applications. JPA is designed to operate both inside and outside of a Java Enterprise Edition (Java EE) container. JPA represents a simplification of the persistence programming model. The JPA specification explicitly defines the object-relational mapping, rather than relying on vendor-specific mapping implementations. JPA standardizes the important task of object-relational mapping by using annotations or XML to map objects into one or more tables of a database.
Elasticsearch is a database that stores, retrieves, and manages document-oriented and semi-structured data. Elasticsearch has its own query domain-specific language in which you specify the query in JSON format. It allows to nest other queries based on the client’s needs. Real-world projects require search on different fields by applying some conditions, different weights, recent documents, values of some predefined fields, and so on. All such complexity can be expressed through a single query.
PostgreSQL is an enterprise-class open source database management system. It supports both SQL for relational and JSON for non-relational queries. It can run dynamic websites and web apps as a LAMP stack option, write-ahead logging makes it a highly fault-tolerant database, supports geographic objects so it can be used for location-based services and geographic information systems.
High importance during work on the project is given to the joint solution of problems and the search for the best way. For this purpose, we arrange a variety of types of meetings and discussions, in the process of which the best solution is chosen.
Research carried out in advance and identified the needs of clients potential customers. This allowed us to create a unique application with the necessary functionality.
Transfer to the main client servers was carried out gradually. Thanks to the technologies chosen for this project and skills of our specialists, everything went quickly and without errors.
The client did not request additional training documentation or instructions from us for his staff or potential customers. However, we are always ready to provide everything needed to demonstrate the basic functions of the developed application and the features of interaction with it.