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Spring Boot is a Spring framework module that provides the RAD feature to the Spring Framework. It is dependent on the starter templates (collection of all the significant transitive dependencies) feature, which works perfectly. Spring Boot provides a platform for Java developers to develop a standalone and production-grade Spring application. It can run both core projects and web-based applications.
It is designed with the following goals:
There are following features of Spring Boot:
Our Spring Boot Tutorial is designed with the basic and advanced concept of Spring Boot Framework for beginners and professionals both. It covers all topics of Spring Boot, such as features, Maven project, Spring Initializr, CLI, annotations, properties, starters, actuator, JPA, JDBC, etc.
Before learning the Spring Boot, you must have the basic knowledge of Spring Framework and Java.
*If you are using Tomcat 8, then the servlet version should be 3.1 and Java 7 or above.
Microservice allows us to break the large systems into the number of independent collaborating processes. Let’s see microservice architecture.
The microservice architecture allows avoiding monolith application for the large system. It provides loose coupling between collaborating processes that running independently in different environments with tight cohesion.
For example, imagine an online shopping with separate microservice for user-account, product-catalog order processing, and shopping carts. These components are inevitably important for such a large online shopping portal.
In this architecture style, the main application divided into a set of sub-application called microservices. One large application divided into multiple collaborating processes as below.
In this architecture, we are using monolith architecture that combines all components in one application.
Microservice architecture is more complex than the legacy system. The microservice environment becomes more complicated because the team has to manage and support many moving parts. Here are some of the top challenges that an organization face in their microservices journey:
Bounded context: The bounded context concept originated in Domain-Driven Design (DDD) circles. It promotes the Object model first approach to service, defining a data model that service is responsible for and is bound to. A bounded context clarifies, encapsulates, and defines the specific responsibility to the model. It ensures that the domain will not be distracted from the outside. Each model must have a context implicitly defined within a sub-domain, and every context defines boundaries.
In other words, the service owns its data and is responsible for its integrity and mutability. It supports the most important feature of microservices, which is independence and decoupling.
Dynamic scale up and scale down: The loads on the different microservices may be at a different instance of the type. As well as auto-scaling up your microservice should auto-scale down. It reduces the cost of the microservices. We can distribute the load dynamically.
Monitoring: The traditional way of monitoring will not align well with microservices because we have multiple services making up the same functionality previously supported by a single application. When an error arises in the application, finding the root cause can be challenging.
Fault Tolerance: Fault tolerance is the individual service that does not bring down the overall system. The application can operate at a certain degree of satisfaction when the failure occurs. Without fault tolerance, a single failure in the system may cause a total breakdown. The circuit breaker can achieve fault tolerance. The circuit breaker is a pattern that wraps the request to external service and detects when they are faulty. Microservices need to tolerate both internal and external failure.
Cyclic Dependency: Dependency management across different services and its functionality is very important. The cyclic dependency can create the problem, if not identified and resolved promptly.
DevOps Culture: Microservices fits perfectly into the DevOps. It provides faster delivery service, visibility across data, and cost-effective data. It can extend its use of containerization switch from Service-Oriented-Architecture (SOA) to Microservice Architecture (MSA).
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