Development of dedicated applications
Development of dedicated applications
Domain Apps for Domain Users –
Mastery of domain knowledge, communication with business analysts
1. The conceptual model of the application in object-oriented design is implemented in the form of a so-called domain model that includes both data (stored in the database) and behavior (functions). The advantage of the application domain model includes the following:
Separation of the part of the application code that is specific for a specific application (domain-specific code) from the rest of the code that solves general technical problems (GUI display, logging, data protection, messaging, etc.), facilitates code maintenance and its updating, improves code portability (transfers to a new frame).
It promotes teamwork between developers and users, managers and marketing. A domain model overcomes the differences in thinking between engineers and non-engineers by unifying terminology.
A software component that tends to become optimal for an enterprise, regardless of the technology and place of application, implements the domain expertise of the enterprise for which it is intended. When developing applications that are specific to an individual enterprise, it is essential to master the domain of the enterprise for which the application is being developed and to implement the specificity of the experiential model of future users in order to accelerate and optimize the process within which the application will be used. For this reason, it is necessary to rely on the business analyst of the future user or hire the business analyst of the company developing the software to define the complete specification of the future application.
Application containerization
– platform agnostic, k8s ready
3. Applications were previously designed as monolithic structures that combine all functionalities in one place. Such applications have become robust over time, making them progressively more difficult to maintain, publish, and update. Changing one functionality can potentially jeopardize the functioning of the entire application, while the time of unavailability of the application during publication increases progressively with its size and complexity. These problems were solved by introducing microservice architecture, which implies that the application is divided into a set of smaller microservices, which communicate with each other but are independent. These microservices can be written in different programming languages, can be developed by different teams of people, and still remain part of the same entity – the application. Microservices are most often run in containers.
Containerization, as one of the leading trends in software development, includes the packaging of software code and its components in so-called containers, so that it can work uniformly and consistently on different platforms that support working with containers (the so-called platform agnostic concept). Containers are a separate process within the OS of a virtual or physical machine, temporary structures that do not require installation on the system, making them suitable for development, testing and production. Currently, the most used container orchestration system is Kubernetes (k8s), which further improves the portability of applications and the consistency of their operation on different infrastructures.
Application containerization has allowed developers to deploy large numbers of application instances at a relatively low cost. The main advantage of this architecture is that it represents a less resource-demanding alternative for running applications on a virtual machine (because application containers share processor and memory resources).
Continuous support – functional refinements at the user’s request with constant support in work
2. Containerization offers significant benefits to software developers and development teams, ranging from superior agility and portability to better cost control. The most important advantages include:
Portability:
Container applications run equivalently on any platform or cloud.
Speed:
Containers provide greater server efficiency and lower server costs.
Scalability:
A containerized environment allows new features, updates, and functions to be added instantly, without impacting the original applications.
Fault isolation:
the failure of one container does not affect the operation of the others. Development teams can quickly identify and fix technical issues within a failing container without causing downtime in others.
Security:
Isolating applications as containers prevents malicious code from affecting other containerized applications or the host system.
Ease of management:
By using container orchestration platforms (e.g. Kubernetes), it is possible to automate installation, management and scaling.