5 Best Technologies To Build Microservices Architecture (2022)

Table of Contents

  • What is Microservices Architecture?
  • Reasons to Migrate to Microservices Architecture
  • Benefits of Microservices
  • Criteria for Choosing a Technology for Microservices
  • Best Languages for Microservices
    • Java
    • Golang
    • Python
    • Node JS
    • .Net

“To be effective in fulfilling your goals, you must break them down into little tasks and then spend most of your time working on the task in front of you, instead of being overwhelmed by the enormity of the big goal.” ― Sunday Adelaja,

This may not be the ideology on which Microservices work, but it surely is the principle we follow while developing an App on the Microservices architecture.

Microservices are gaining popularity in the market as businesses work towards building complex and larger applications that can be segregated and handled as a compilation of smaller services. There have been an increasing number of people looking to redesign their traditional monolithic systems into a sequence of single independent microservices.

The natural question that comes to your mind is, Which is the most favorable language to be used while developing microservices for your next project?

(Video) Design Microservice Architectures the Right Way

You can use various technologies based on what best serves the purpose of your microservices. Let’s go through some of the programming languages that have the features and libraries, which will help you in getting your job done. But first, let’s begin by understanding Microservices.

What is Microservices Architecture?

The microservices architecture is a development methodology wherein you can fragment a single application into a series of smaller services, each executing in its own process and interacting with lightweight mechanisms. The microservices are developed around business capabilities, which are independently deployable with automated deployment mechanism. The microservices architecture needs a bare minimum of management of these services, built in different programming languages and employs different data storage technologies.

Reasons to Migrate to Microservices Architecture

5 Best Technologies To Build Microservices Architecture (1)

  • In a monolithic architecture, for a large application, it is hard to comprehend the complexity and sometimes it is tough to handle the code.
  • Applications require extensive manual testing in order to comprehend the impact of alterations.
  • Even for a small change, the entire application requires to be deployed again.
  • The heavy application with monolithic architecture can slow down the start-up time.

Benefits of Microservices

  • Easier Process Adoption – With a microservices architecture, new technology, and process adoption become simple.
  • Small Modules – As the application is broken into smaller chunks, it is easy for developers to develop and maintain.
  • Independent Scaling – Each module in microservices can scale independently through
    • X-axis scaling – by cloning with more memory Or CPU
    • Z-axis scaling – by size using sharding
  • DURS - Each service in microservices architecture can be independently DURS (Deployed, Updated, Replaced & Scaled)
  • Unaffected - Even the failure of a single module won’t affect the remaining part of applications.

Microservices guarantee increased the autonomy of development teams (speed to market), better fault isolation (reliability), re-usability and scalability.

Criteria for Choosing a Technology for Microservices

With microservices, you can build a reliable platform to extend the business while taking advantage of diversity in languages. Of course, you can use different technologies or languages for different services, but it does not mean it is effective. The microservices architecture comes with lots of operational overhead; hence adding a diverse programming language on top of that can exponentially raise that performance overhead. To reduce that, you should standardize your microservices technology stack by choosing the programming language based on your business needs. Here are the criteria to evaluate the programming language for microservices development:

  • Highly observable
  • Support for automation
  • Consumer-first approach
  • Independent deployment
  • Modelled around business domain
  • Decentralization of components
  • Support for continuous integration

Best Languages for Microservices

Microservices can be implemented with a horde of frameworks, versions, and tools. Java, Python, C++, Node JS, and .Net are few of them. Let us explore the languages that support microservices development in detail:

1. Java

Annotation syntax, which is easy to read, is the key factor that makes Java a great programming language for developing microservices. This feature makes Java Microservices much easier to develop when powered by Microservices frameworks. It offers more value in readability, particularly while working with complex systems. Java includes many opinions to support developing & deploying Java Microservices. It offers a user Interface, model components as well as connectivity to back-end resources, everything within the boundaries of a single, isolated and independently deployed apps.

(Video) #1 - Introduction to MICROSERVICES Architecture in 5 Minutes #microservicestutorial #microservices

In addition, many of Java EE standards are well suited for microservices applications like:

  • JAX-RS for APIs
  • JPA for data handling
  • CDI for dependency injection & lifecycle management

In addition, service discovery solutions like Consul, Netflix Eureka or Amalgam8 are effortless in connecting with Java Microservices.

There are several Frameworks for developing Microservices architecture. Some of the Java Microservices Frameworks are as follows:

  • Spring Boot – This framework works on top of various languages for Aspect-Oriented programming, Inversion of Control and others
  • Dropwizard – This Java microservices framework assembles stable and mature libraries of Java into a simple and light-weight package
  • Restlet – It supports developers to build better web APIs, which trail the REST architecture model
  • Spark – One of the best Java Microservices frameworks, supports creating web apps in Java 8 and Kotlin with less effort

2. Golang

If you want to enhance your existing project, the Golang can be a good choice for microservices development. Golang, also known as Go is popular for its concurrency and API support in terms of microservices architecture. With the Golang’s concurrency possibility, you can expect increased productivity of various machines and cores. It includes a powerful standard for developing web services. It is exclusively designed for creating large and complex applications. Go provides two impressive frameworks for microservices development:

  • GoMicro – It is an RPC framework, which comes with the advantages like Load balancing, server packages, PRC client, and message encoding.
  • Go Kit – The key difference of Go Kit from GoMirco is it needs to be imported into a binary package. Moreover, it is advanced for explicit dependencies, Domain-driven design, and declarative aspect compositions.

In addition to simple syntax, Go microservices architecture includes excellent testing support as it makes it simple to write robust tests as well as embed them flawlessly into workflows.

3. Python

Python is a high-level programming language that offers active support for integration with various technologies. Prototyping in Python is faster and easier when compared to other frameworks and languages. It includes powerful substitutes for heavy implementations like Django. Microservices Python ensures compatibility with legacy languages like ASP and PHP, which allows you to create web service front-ends to host Microservices.

With all these benefits, Microservices Python is considered to have an edge over other languages. Developers who implement Microservices Python use a RESTful API approach - a comprehensive way of utilizing web protocols & software to remotely manipulate objects. With this technology, it becomes easier to monitor the application since it is now broken into components. There is a broad range of Python microservices frameworks to choose from for your web application development. Some of them are as follows:

(Video) SAGA | Microservices Architecture Patterns | Tech Primers

  • Flask – Most popular Python Micro framework based on Jinja2 and Werkzeug
  • Falcom – Create smart proxies, cloud APIs and app back-ends
  • Bottle – Simple, lightweight and fast WSGI micro framework
  • Nameko – Best among the Python Microservices frameworks that allows developers to concentrate on application logic
  • CherryPy – Mature, Python object-oriented web framework

4. Node JS

Node JS became the go-to platform in the past few years for enterprises and startups who want to embrace microservices. Node JS is built with the V8 runtime; hence, microservices Node JS is going to be super-fast for Input-Output (IO) – bound tasks. Normally, Microservices Node JS is developed either using CPU-bound or IO-bound code. CPU-bound program demands many intensive calculations. Every time you run an IO call, Node JS doesn’t block the main-thread but submits the tasks to be executed by the internal IO daemon threads. Hence, Microservices Node JS gains popularity in terms of IO-bound tasks.

Stephen Commisso, senior software engineer of GoDaddy states that proper utilization of microservices and Node JS can help to handle the same load with just 10 % of the hardware.

Highly innovative enterprises accept that Microservices Node JS is an excellent combination for attaining increased productivity, high performance, satisfied developers and reduced costs.

5. .Net

ASP.Net, the .Net framework for web development makes it simple to build the APIs that becomes the microservices. It includes built-in support for building and deploying microservices using Docker containers. .Net comes with APIs that can simply consume microservices from any application you developed including desktop, mobile, web, gaming and more. If you have an application, you can start adopting .Net microservices without entirely revamping that application. The initial setup for .Net Docker images has already been done and available on Docker Hub, helping you to concentrate only on building your microservices.

The .Net microservices architecture allows a compilation of technologies between each service; as such, you can use .Net for a certain part of your app without implementing it everywhere. You can mix the .Net microservices with applications written in Java, Node JS, or any other languages. This allows a gradual migration to .Net core technology for new microservices that function in combination with other microservices and with services built with other technologies. Similarly, the .Net microservices can run on all leading cloud platforms.

The future of microservices leads us closer to serverless architecture; particularly, the promise of cost savings by only paying the amount of compute utilized is even more appealing. Microservices is an extensive concept that applies to churn apps, products or solutions to more granular and modular level. Keep in mind, it is not recommended to start microservices architecture from scratch since it is difficult to define the boundaries of each service at the beginning. There is no better way to choose the perfect technology for your microservices. Every technology decision depends on the tools you will use to develop other parts of your application. It also depends on the current knowledge of your development team.

(Video) Top Microservices Tools | Tools For Microservices Developers | Edureka


5 Best Technologies To Build Microservices Architecture? ›

Top languages to pick for developing a microservices architecture
  1. Node. js. ...
  2. Java. Java is a great programming language for Microservices as it has annotation syntax which makes it easier to read. ...
  3. Python. Python has easy integration with various technologies and is a high-level programming language. ...
  4. 4. . Net. ...
  5. Golang. ...
  6. C++
Apr 22, 2022

What is the technology stack of microservices? ›

A “stack” is a combination of languages, tools, etc., layered one on top of the other to build a digital platform or program. When brought together, these form a microservices technology stack — a specific type of tech stack that consists of different microservices that work together using API technology.

Is Python good for microservices? ›

Advantages of Python for microservices development

This allows them to quickly write application code, plug in boilerplate functions and test the programs before converting them to script. Python is also a strongly typed language, meaning it ensures uniform consistency and minimizes errors by enforcing data types.

How do you develop a Microservice architecture? ›

The following are the key points to think about at that time.
  1. Keep communication between services simple with a RESTful API. ...
  2. Divide data into bounded contexts or data domains. ...
  3. Build your microservices architecture for failure. ...
  4. Emphasize monitoring to ease microservices testing.

Which framework is best for microservices? ›

So, let's get started with the 5 Best Java Frameworks For Microservices.
  • Spring Boot. Possibly one of the finest and easy-to-go frameworks in Java for developing microservices. ...
  • Quarkus. ...
  • Micronaut. ...
  • Eclipse Vert. ...
  • Ballerina.
Aug 8, 2022

Which technology is best for API development? ›

Postman. “It is probably the most popular tool for testing your REST API. If you take a look at their website, you'll find that Postman is used by 5 million developers and over 100,000 businesses to access 130 million APIs each month. It is also feature rich and supports all stages of the REST API life cycle.

Which language is used most for microservices? ›

Primary languages among microservices developers

of all respondents develop microservices. The 3 most popular languages for microservices development are Java (41%), JavaScript (37%), and Python (25%).

Which technologies are essential part of microservices architecture? ›

A typical microservice architecture consists of an API or communication gateway, service discovery, the service, and a database or cache. Despite these benefits, microservices architecture also comes with its own challenges, from implementation to migration and maintenance.

Can we create microservices without spring boot? ›

Definitely yes. Microservice architecture doesn't necessarily assume that a microservice will run in a cloud environment. Spring cloud provides "extra" features usually required in cloud environments, for instance centralized configuration management, service discovery, etc.

Is Docker a microservices? ›

Docker is the world's leading software containerization platform. It encapsulates your microservice into what we call as Docker container which can then be independently maintained and deployed. Each of these containers will be responsible for one specific business functionality.

Does microservices need coding? ›

Microservices lend themselves to containerization too, since they already are small applications with a limited set of dependencies. This means you can scale your services horizontally with technologies like Docker and Kubernetes without writing any customized code.

Is microservices the future? ›

The microservices architecture market is growing. According to Market Research Future, the market is increasing at a CAGR of 17 percent, putting it on pace to reach $33 billion by 2023.

Is microservices and REST API same? ›

Microservices: The individual services and functions – or building blocks – that form a larger microservices-based application. RESTful APIs: The rules, routines, commands, and protocols – or the glue – that integrates the individual microservices, so they function as a single application.

What are the different types of Microservice architecture? ›

While there are literally dozens of ways to implement a microservices architecture pattern, three main topologies stand out as the most common and popular: the API REST-based topology, application REST-based topology, and the centralized messaging topology.

Is spring boot a microservice? ›

With Spring Boot, your microservices can start small and iterate fast. That's why it has become the de facto standard for Java™ microservices. Quickstart your project with Spring Initializr and then package as a JAR. With Spring Boot's embedded server model, you're ready to go in minutes.

Which design pattern is used in microservices? ›

Branch Pattern

Branch microservice design pattern is a design pattern in which you can simultaneously process the requests and responses from two or more independent microservices.

Is Rust good for microservices? ›

Rust is a language particularly well-suited for building microservices. It is a new system programming language that offers a practical and safe alternative to C.

Which language is best for REST API? ›

XML: JSON and XML are the two de facto standards for sending and receiving data in REST APIs. Web programming languages such as Python, JavaScript, Ruby on Rails, and Java all have tools for parsing and working with XML and JSON.

Is RESTful API a technology? ›

A REST API (also known as RESTful API) is an application programming interface (API or web API) that conforms to the constraints of REST architectural style and allows for interaction with RESTful web services. REST stands for representational state transfer and was created by computer scientist Roy Fielding.

Which language is best for API development? ›

Adam Duvander, using ProgrammableWeb data, has cited the top languages used for API helper libraries as:
  • Python.
  • Ruby.
  • . NET / C#
  • Java.
  • Perl.
  • ColdFusion.
  • Node. js.
  • ActionScript.
Nov 12, 2015

What are different ways to deploy microservices? ›

5 Options for Deploying Microservices
  • The 5 ways to deploy microservices.
  • Option 1: Single machine, multiple processes.
  • Option 2: Multiple machines and processes.
  • Option 3: Deploy microservices with containers.
  • Option 4: Orchestrators.
  • Option 5: Deploy microservices as serverless functions.
  • Conclusion.
4 days ago

What type of technology allows for microservices to become scalable and have redundancy? ›

REST is a great tool for building a scalable microservice, since they are stateless and modular. The REST pattern allows the client and the server to be implemented independently without the knowledge of the other entity.

What is the most popular choice for microservices deployment? ›

A simple answer to this could be, Docker . Docker is the world's leading software containerization platform. It encapsulates your microservice into what we call as Docker container which can then be independently maintained and deployed.

1. Spring Boot with Spring Cloud

Spring Boot is popular Java framework for writing Microservices.. Spring JDBC, Spring JPA, Spring MongoDB , Spring Apache Cassandra are few extensions.. Spring is easy to integrate with MQ to build asynchronous style services.. Security — Spring Security, good support for OAuth2, Session management, possible to build stateful and stateless services.. If we compare Helidon with Spring Boot, Spring boot out perform many features.. Helidon SE supports GraalVMnative images for small footprint and lightening fast startup.The REST framework for Helidon SE is the Helidon WebServer.. These are few Helidon MP features to build Microservices application. gRPC Support Helidon gRPC Server provides a framework for creating gRPC applications.. Distributed Config Management The config component provides a Java API to load and process configuration properties in key/value form into a Config object which the application can use to retrieve config data.. Support event-driven architecture with balancing Built-in service registry & dynamic service discovery Load-balanced requests & events (round-robin, random, cpu-usage, latency, sharding) Many fault tolerance features (Circuit Breaker, Bulkhead, Retry, Timeout, Fallback) Built-in caching solution (Memory, MemoryLRU, Redis) Pluggable loggers (Console, File, Pino, Bunyan, Winston, Debug, Datadog, Log4js) Built-in metrics feature with reporters Built-in tracing feature with exporters (Console, Datadog, Event, Jaeger, Zipkin). Micronaut is a modern, JVM-based, full stack microservices framework designed for building modular, easily testable microservice applications.. Micronaut is developed by the creators of the Grails framework and takes inspiration from lessons learnt over the years building real-world applications from monoliths to microservices using Spring, Spring Boot and Grails.. https://academy.lightbend.com/courses/course-v1:lightbend+LLJ-HelloWorld+v1/about Lagom is an open source framework for building systems of Reactive microservices in Java or Scala.. Axon Framework is a Java microservices framework that helps you build microservices architecture in-line with Domain Driven Design (DDD) principles.

In this blog, you will learn What is Microservices, differences between monolithic architecture and microservices, features, best practices with a use-case.

Features Of Microservice Architecture Advantages Of Microservice Architecture Best Practices To Design Microservices Companies. Inflexible – Monolithic applications cannot be built using different technologies Unreliable – Even if one feature of the system does not work, then the entire system does not work Unscalable – Applications cannot be scaled easily since each time the application needs to be updated, the complete system has to be rebuilt Blocks Continous Development – Many features of the applications cannot be built and deployed at the same time Slow Development – Development in monolithic applications take lot of time to be built since each and every feature has to be built one after the other Not Fit For Complex Applications – Features of complex applications have tightly coupled dependencies. Microservices is an architectural style that structures an application as a collection of small autonomous services, modeled around a business domain.. Different clients from different devices try to use different services like search, build, configure and other management capabilities All the services are separated based on their domains and functionalities and are further allotted to individual microservices These microservices have their own load balancer and execution environment to execute their functionalities & at the same time captures data in their own databases All the microservices communicate with each other through a stateless server which is either REST or Message Bus Microservices know their path of communication with the help of Service Discovery and perform operational capabilities such as automation, monitoring Then all the functionalities performed by microservices are communicated to clients via API Gateway All the internal points are connected from the API Gateway.. So the application as a whole can be easily built, altered, and scaled Componentization – Microservices are treated as independent components that can be easily replaced and upgraded Business Capabilities – Microservices are very simple and focus on a single capability Autonomy – Developers and teams can work independently of each other, thus increasing speed Continous Delivery – Allows frequent releases of software, through systematic automation of software creation, testing, and approval Responsibility – Microservices do not focus on applications as projects.. Independent Development – All microservices can be easily developed based on their individual functionality Independent Deployment – Based on their services, they can be individually deployed in any application Fault Isolation – Even if one service of the application does not work, the system still continues to function Mixed Technology Stack – Different languages and technologies can be used to build different services of the same application Granular Scaling – Individual components can scale as per need, there is no need to scale all components together. To avoid such challenges developers of this application decided to shift their application from a monolithic architecture to a newer architecture.. Refer to the diagram below to understand the architecture of shopping cart application. This means that developers don’t create a web microservice, a logic microservice, or a database microservice.. This type of architecture for the application not only helps the developers to overcome all the challenges faced with the previous architecture but also helps the shopping cart application to be built, deployed, and scale up easily.. If you wish to learn more on this subject and build your own applications, then check out our Microservices Architecture Training which comes with instructor-led live training and real-life project experience.

A scalable architecture in Reactjs is hard to define! This article explain React architecture best practices for building large react projects.

The poor performance of UI – Since the application has a single component, each change in state would result in the re-rendering of components.. So every time any component needs data, it’s the components that will serve as the single source of truth and help them with data.. Another best-practice of implementing React architecture in large-scale web applications should be related to Redux and how to use it in large applications.. Since every feature has a dedicated folder, the teams can work on them more effectively.. Need help in building a scalable React architecture for a large web application project?

This reference guide is the second in a four-part series about designing, building, and deploying microservices. This series describes the various elements of a microservices architecture. The series includes information about the benefits and drawbacks of the microservices architecture pattern, and how to apply it.

In figure 2, module Z is the service candidate that you want to extract from. the monolithic application.. Modules X and Y are dependent upon module Z.. Microservice modules X and Y use an IPC adapter in the monolithic application to. communicate with module Z through a REST API.. Therefore, when you modernize your monolithic application into. microservices, you must split the monolithic database based on the service. boundaries that you identify.. In monolithic applications, it's common for modules to access required data. from a different module through an SQL join to the other module's table.. A service uses an API call to get data from another service.. In figure 4, an order module uses an API call to get data from a product. module.. Another way to share data between two separate microservices is to replicate. data in the dependent service database.. In figure 5, the product service database is replicated to the order service. database.. Loose coupling : An asynchronous model splits the request–response. interaction into two separate messages, one for the request and another one. for the response.

Building Microservices on .Net platforms which used Asp.Net Web API, Docker, RabbitMQ, Ocelot API Gateway, MongoDB, Redis, SqlServer…

There is a couple of microservices which implemented e-commerce modules over Catalog, Basket, Discount and Ordering microservices with NoSQL (MongoDB, Redis) and Relational databases (PostgreSQL, Sql Server) with communicating over gRPC and RabbitMQ Event Driven Communication and using Ocelot API Gateway.. ASP.NET Core Web API application REST API principles, CRUD operations MongoDB NoSQL database connection on docker containerization N-Layer implementation with Repository Pattern Swagger Open API implementation Dockerfile and docker-compose implementation. A single small team of developers can write and maintain a service.. Each service is a separate codebase, which can be managed by a small development team.. Services can be deployed independently.. A monolithic application has a single codebase that contains multiple modules.. Even with a small change in the application, the entire application must be deploy.. The challenge of testing: The large number of services deployed independently of each other makes the testing process extremely difficult.. A single small team of developers can write and maintain a service.Each service is a separate codebase, which can be managed by a small development team.. Services can be deployed independently.. A monolithic applications has large development organizations.Single code base created communication overhead.. When using Docker, a developer develops an application and packages it with its dependencies into a container image.. In order to run the application, the application’s image is instantiated to create a container, which will be running on the Docker host.Containers can be tested in a development local machines.

Learn all about component-based development and what are the best practices to follow to experience all its advantages to build a scalable frontend.

Component-based development, for one, is a modular approach that decomposes frontend monoliths and introduces benefits similar to that of microservices at the frontend.. In this article, you’ll develop a better understanding of what components are, how component teams function, and get actionable tips to adopt this fantastic web development strategy.. Component-based development is a software development strategy that uses loosely coupled components to build applications with emphasis on reusability.. This makes for a modular system where multiple teams can work simultaneously on individual components in the same interface.. Since component based development breaks down the system into independent components, the organization structure also works best with component teams.. If you still have to deal with a frontend monolith, now is the right time to start moving towards this modular approach.. Style guide, universal design guide, design language system, etc., are the different ways organizations lay down component development standards.. There are plenty of tools available to take care of specific functions throughout the development process.. Inspired by chemistry, Brad Frost introduced a practical approach to develop interfaces called Atomic Design.. Find ways to automate as many processes in component-based development.. Developers across teams end up writing similar code for different instances across the applications.. With a component-based software development process in place, components once created can be easily used across as many modules as needed.. It realized it needed some structure in its development approach.. As these components are further used across the different interfaces, the frontend appears highly consistent despite being made out of multiple independent components.. Component-based development allows for extending the benefits of a modular architecture to the frontend as well.

Discover when to use SaaS architecture over on-premise environments — and 10 best practices you can use for efficient SaaS architecture design.

In IaaS, a cloud computing service provides an organization access to computing resources such as servers, storage, and networking in the cloud.. In PaaS, a cloud service provider provides a cloud environment where an organization can develop, manage, and deliver its applications.. It is also known as a 'one to many' SaaS architecture.. Using a single app instance with several databases will make all users entering your environment access different databases simultaneously.. As a result, your application will scale faster, provide more resources to users concurrently, and feel more responsive.. Most organizations opt for a monolithic or on-premises architecture out of concern for losing control over their data.. RBAC is a data access control method that restricts different users from accessing and changing data that does not directly relate to their role in an organization.. One way to ensure your SaaS application puts users’ vendor lock-in concerns to rest is to make it supports standard integration APIs, so users are free to connect the solution with other SaaS or on-premises applications.. With a tool like CloudZero, you can track SaaS architecture costs by customers, products, teams, and units within your company.. Our cloud cost intelligence platform helps engineering and finance align on cloud costs and gain better visibility into their SaaS COGS, unit costs, and cost per customer.

What is SOA? SOA is an architectural pattern in computer software design. In this type of application, components provide services to other components via a communications protocol, typically over a n

SOA makes it easier for software components over various networks to work with each other.Web services that are built as per the SOA architecture tend to make web services more independent.. Transport : This component transports the service requests from the service consumer to the service provider and service responses from them to the service consumer.. SOAMicroservicesSOA model has a single data storage layer which shared by all of the services in that application.Microservices apps mostly dedicate a database or other type of storage to services that need it.Communication between different services in an SOA app uses simple and straight forward approaches.Microservices use complex APIs.Focused on maximizes application service reusability.More focused on decoupling.A systematic change requires modifying the monolith.A systematic change helps you to create a new service.DevOps and Continuous Delivery are becoming popular but yet not become mainstream.Strong emphasis on DevOps and Continuous DeliveryMonolithic in natureFull-stack in natureSupports multiple message protocols.Uses lightweight protocols like HTTP, REST, or Thrift APIs.It is designed to share resources across services.It is designed to host services that can function independently.Frequently involves component sharingTypically, it does not include component sharingInvolves sharing data storage between servicesEach service can have independent data storage.Better for large scale integrationsBetter for small and web-based applications.Communicates through an ESBCommunicate through an API layerRelies on sharing resourcesRelies on the bounded context for coupling.Less flexibility in deploymentQuick and easy deployment.The technology stack of SOA is lower compared to Microservice.Microservice technology stack could be very large.Business units are dependent.Business units are independent of each other.An SOA app comprised of two or three services.A Microservices app could have dozens of services.SOA applications are built to perform numerous business tasks.They are built to perform a single business task.Deployment is a time- consuming process.Deployment is straightforward and less time-consuming.Business logic components are stored inside of single service domain simple wire protocols(HTTP with XML JSON) API is driven with SDKs/Clients.Business logic can live across domains enterprise service bus like separate layers between services.Uses enterprise service bus (ESB) for communicationIt uses the less elaborate and straightforward messaging systemSoftware size is larger than any conventional softwareThe size of the Software is small in MicroservicesMulti-threaded with multiple overheads to handle I/OSingle-threaded mostly use with Event Loop features for non-locking I/O handlingA systematic change needed for modifying the monolithIn Microservices, systematic change is to create a new serviceFocus on maximizing application service reusability.Emphasis on decoupling.Common governance and standards.Relaxed governance, as is more focused on people’s collaboration and freedom of choice.The deployment process is time- consuming.Deployment is easy and less time-consuming.Less scalable architecture.Highly scalable architecture.. SOA requires high investment cost There is bigger overhead when a service interacts with another service this will increases the response time SOA service is not suitable for GUI (graphical user interface) applications that so it will become more complicated when the SOA needs heavy data exchange.. SOA involves sharing data storage between services while in Microservices, each service can have independent data storage.. SOA is designed to share resources across services while Microservices is designed to host services that can function independently.


1. Building Microservices with Go: 3. RESTful services
(Nic Jackson)
2. Security Patterns for Microservice Architectures
3. Delivering Excellence With Microservices On AWS
(Amazon Web Services)
4. Microservices Security Patterns & Best Practices || Microservices Architecture
(Green Learner)
5. .NET Microservices – Full Course
(Les Jackson)
6. Building high performance microservices with Kubernetes, Go, and gRPC (Google Cloud Next '17)
(Google Cloud Tech)

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