“Monolithic vs Microservices Architecture: Unraveling the Debate on the Future of Software Development”. In today’s fast-changing world of software development, the decision between monolithic and microservice architectures has become critical, with substantial implications for a company’s capacity to innovate, scale, and react to changing market demands.
While both systems have their advantages, they reflect fundamentally distinct approaches to application structure, resulting in heated disputes among developers and engineers alike.
In this Blog Post, we will discuss the following topics you need to know about Monolithic vs Microservices Architecture:
- Monolithic Architecture
- Microservices Architecture
- When to use Monolithic vs. Microservices Architecture
- How to transition from a monolithic to a microservices architecture
- Difference: Monolithic vs.Microservices
- AWS Specific Services for Microservices
- Amazon Prime Video’s Architecture:
- What to Expect in Our Real-Time Project
- Conclusion
Monolithic Architecture
Monolithic architecture, a time-tested traditional approach, consolidates all application components into a single, cohesive unit. This model simplifies development and deployment since all features and functionalities reside within one codebase.
A monolithic architecture unites all of the business concerns in a single, sizable computing network with a single code base. This kind of application requires changing the complete stack, which involves accessing the code base, creating an updated service-side interface, and deploying it. Updates become cumbersome and time-consuming as a result.
Advantages of a Monolithic Architecture
- Simplicity and Ease of Development: Because all components of the program are housed under a single codebase, monolithic architecture is often easier to develop. This ease of use can lessen the complexity of the development process, making it more accessible to developers of all skill levels.
- Simplified Deployment: The deployment process is often simple because the complete application is deployed as a single item.
- Lower Latency: Communication between components in a monolithic architecture occurs via in-memory calls, which can result in lower latency.
- Easier Testing: Testing can be simplified when all components are contained within the same codebase. Because developers have direct access to all elements of the application, they can perform end-to-end testing and troubleshoot the application more quickly.
- Development Time and Cost: Building a monolithic application is often faster and less expensive, especially for smaller applications with simple requirements. Reduced complexity can lead to shorter development cycles.
Disadvantages of Monolithic Architecture
- Limited Scalability: Monolithic applications can be challenging to scale efficiently. Scaling the entire application as a single unit can lead to resource wastage, as some components may require more resources than others. Additionally, scaling a monolith may require more powerful hardware, which can be costly.
- Complexity and Maintainability: As an application grows, the codebase can become large and complex, making it harder to understand, maintain, and extend. Adding new features or making changes to one part of the application can inadvertently affect other parts, leading to unintended consequences.
- Dependence on a Single Technology Stack: Monolithic architectures are often built using a single technology stack. While this can provide consistency, it also means that the entire application is tied to the strengths and limitations of that particular stack.
- Testing Challenges: Testing a monolithic application comprehensively can be complex. End-to-end testing may require substantial resources and can be time-consuming, and isolating and testing individual components in isolation can be difficult due to tight coupling.
Use Cases
1. Small to Medium-sized Web Applications: For simpler websites or smaller web apps, monolithic architecture is frequently preferred. The complexity that microservices add can be avoided by building and deploying these apps as a single cohesive unit.
2. Internal Business Tools: Since these applications typically have constrained functionalities and user bases, a monolithic design may be sufficient for internal tools or administrative systems within an organization.
3. Offline Desktop Applications: Monolithic architecture can be used to build desktop programs that work offline and don’t need intricate backend connectivity for simplicity and distribution.
4. Less Complex APIs: To reduce development effort, some APIs that don’t need considerable scaling or independent component deployment may be created as monolithic services.
Microservices Architecture
Microservices Architecture is a software design strategy that structures an application as a collection of loosely connected and deployable services. An application is divided into smaller, manageable, and targeted services that can be built, deployed, and scaled independently in this architectural approach.
Microservices do not reduce complexity, but they do make it visible and manageable by breaking activities down into smaller processes that work independently of one another while contributing to the overall whole.
Advantages of a Microservices Architecture
- Decentralization: Each service runs as a separate entity, with its own database (if necessary) and logic. This enables teams to operate on several services concurrently without interfering with one another.
- Scalability: Because services are segregated, you can scale them individually based on their specific needs. This implies you can devote more resources to high-traffic services while ignoring others.
- Resilience: If one service fails, the entire application does not go down. The error is limited to that one service, allowing the remainder of the application to work normally.
- Flexibility and Agility: Since each service can be built, tested, and deployed individually, microservices allow for quicker development and deployment cycles. This flexibility is especially helpful in complicated, large-scale applications.
- Ease of Maintenance: Monolithic applications are more difficult to comprehend and maintain as they grow, whereas smaller, more specialized services are easier to use and understand.
Disadvantages of Microservices Architecture
- Complexity: Comparatively speaking, monolithic designs are less difficult than microservices structures. Managing the whole system can be more difficult when multiple services interact and communicate.
- Inter-service Communication Overhead: Services frequently need to communicate with one another in a microservices architecture through message queues or APIs. When the services are placed on many servers or in various data centers, this can cause overhead and latency.
- Data Management: Typically, each microservice has its own data store or database. Data consistency and accessibility across services can be very difficult to maintain, especially in complex transactions involving many services.
- Testing Challenges: Dealing with many integration points while testing microservices makes it difficult and time-consuming to ensure thorough testing across all services.
Use Cases
1. E-commerce Platforms: Large e-commerce websites frequently use microservices to perform a variety of tasks, including user identification, order processing, payment handling, and logistics for shipment. Teams can work on many system components at once by implementing each of these functions as a standalone microservice.
2. Streaming Services: Microservices are used by streaming platforms for video, audio, and live content to provide a seamless user experience. It is possible to create different microservices for content delivery, recommendation engines, transcoding, user profiles, and content ingestion.
3. Social Media Platforms: Complex features including user profiles, timelines, notifications, chat, and content sharing are available in social networking programs. To handle each of these operations separately, microservices can be used, which speeds up development and updates.
4. Travel and Hospitality Platforms: Microservices can be used to handle booking procedures, inventory management, payment processing, loyalty programs, and customer assistance on travel booking websites or hotel reservation systems.
When to use Monolithic vs. Microservices Architecture
Both monolithic and microservices architectures assist developers in creating apps using various methods. Consider these factors when deciding whether to create a monolithic or microservices architecture.
1. Application size
When creating a straightforward application or prototype, the monolithic method is more appropriate. Developers may create monolithic applications without integrating numerous services because they have a single code base and framework. Microservice applications could need a lot of time and design work, which makes the cost and benefit of very small initiatives incomprehensible.
Microservices architecture, on the other hand, is superior for creating complicated systems. It gives your team a solid programming base and supports their flexibility in adding new features. For instance, Netflix scales its streaming infrastructure and reduces development time with AWS Lambda.
2. Team competency
Despite their flexibility, microservices development calls for a unique skill set and design thinking. Contrary to monolithic apps, the creation of microservices calls for knowledge of cloud architecture, APIs, containerization, and other skills unique to contemporary cloud applications. Furthermore, developers who are unfamiliar with distributed design may find it difficult to troubleshoot microservices.
3. Infrastructure
The cloud environment is more advantageous for microservices applications than monolithic programs, which run on a single server. Microservices can be operated from a single server, however in order to assure scalability, fault tolerance, and high availability, developers usually host microservices with cloud service providers.
Before you can begin using microservices, the appropriate infrastructure must be in place. Microservices are more difficult to set up in terms of tools and methodology, but they are better for creating intricate, scalable applications.
How to transition from a monolithic to a microservices architecture
Monolithic programs can be converted to a microservices architecture, but doing so requires careful planning and execution. Pacing the phases with regular feedback from stakeholders is crucial.
1. Make a plan: Create a migration and deployment plan that takes operational risks, customer experience, technology potential, timetable, and company goals into account.
2. Find a cloud partner: The monolithic program should be containerized in collaboration with a trustworthy cloud provider. This is a crucial procedure that ends the application’s reliance on particular hardware and software specifications. The vast code base can then be divided up into various microservices by your developers.
3. Adopt DevOps practices: Use continuous integration and continuous deployment (CI/CD) tools to support the migration effort and adopt a DevOps culture in your company. A software practice called DevOps uses automation tools to enable a quicker development lifecycle.
4. Build microservices: Create and implement the cloud infrastructure for the microservices. Utilize the right tools to keep an eye on the microservice’s security, traffic, and overall health and to quickly address any issues.
Monolithic vs Microservices Architecture: Difference
Category | Monolithic architecture | Microservices architecture |
---|---|---|
Design | The single code base with multiple interdependent functions. | Independent software components with autonomous functionality that communicate with each other using APIs. |
Development | Requires less planning at the start, but gets increasingly complex to understand and maintain. | Requires more planning and infrastructure at the start, but gets easier to manage and maintain over time. |
Deployment | The entire application is deployed as a single entity. | Every microservice is an independent software entity that requires individual containerized deployment. |
Debugging | Trace the code path in the same environment. | Requires advanced debugging tools to trace the data exchange between multiple microservices. |
Modification | Small changes introduce greater risks as they impact the entire code base. | You can modify individual microservices without impacting the entire application. |
Scale | You have to scale the entire application, even if only certain functional areas experience an increase in demand. | You can scale individual microservices as required, which saves overall scaling costs. |
Investment | Low upfront investment at the cost of increased ongoing and maintenance efforts. | Additional time and cost investment to set up the required infrastructure and build team competency. However, long-term cost savings, maintenance, and adaptability. |
AWS Specific Services for Microservices
AWS provides a broad ecosystem of services designed specifically for microservice architecture, giving developers the tools they need to build, deploy, manage, and scale their applications quickly. Here, we look at some of the important AWS services that are very useful for microservice architectures: Amazon ECS, Amazon EKS, AWS Lambda, and Amazon API Gateway.
Amazon Elastic Container Service (ECS)
Amazon ECS is a highly scalable, high-performance container orchestration service that supports Docker containers and makes it simple to launch and scale containerised applications on AWS. ECS eliminates the need for you to install and run your own container orchestration software, maintain and grow a cluster of virtual machines, or schedule containers on them. With ECS, you can deploy microservices as containers across a fleet of servers, assuring isolation and security while allowing each service to expand independently based on demand.
Amazon Elastic Kubernetes Service (EKS)
Amazon EKS is a managed service that enables you to run Kubernetes on AWS without having to install and manage your own Kubernetes control plane. EKS is fully interoperable with Kubernetes apps and tools, allowing you to take advantage of Kubernetes’ wide ecosystem of resources. It provides a highly available and secure environment for deploying microservices while seamlessly managing application orchestration and scaling.
AWS Lambda
AWS Lambda is a serverless computing service that allows you to run code without having to create or manage servers. The underlying compute resources are automatically managed for you. Lambda allows you to create services that are automatically triggered by AWS services or can be accessed directly from any web or mobile application. It’s a powerful tool for building lightweight, event-driven microservices that charge you just for the computing time you need and scale automatically with the workload.
Amazon API Gateway
Amazon API Gateway is a fully managed service that enables developers to easily construct, publish, maintain, monitor, and protect APIs of any scale. API Gateway addresses all of the activities associated with accepting and processing hundreds of thousands of concurrent API calls, such as traffic management, authorization and access control, monitoring, and API version management. It enables developers to design serverless-optimized RESTful and WebSocket APIs, allowing microservices to interact seamlessly.
Using these AWS services, developers can leverage the potential of microservice architecture to create highly scalable, flexible, and resilient apps. Each service provides distinct features that address various areas of the microservices lifecycle, including container management and orchestration with ECS and EKS, serverless execution with Lambda, and API management with API Gateway. Together, they form a full toolkit for modern application development, allowing organizations to innovate faster and adapt more swiftly to client needs.
Amazon Prime Video’s Architecture: Migrating from Microservices to Monolith for Audio/Video Monitoring Service
Prime Video created a Video Quality Analysis (VQA) solution to quickly monitor hundreds of live feeds. They suffered scaling constraints and expensive expenses when they were first created as a distributed system with Serverless components.
To address this, they redesigned the service as a monolithic application, consolidating all components into a single process that ran on Amazon EC2 and Amazon ECS instances. This removed the need for costly data transfers and considerably lowered expenditures. Scalability difficulties were also addressed by duplicating the service and utilizing lightweight orchestration to disperse consumer requests.
The switch to a monolithic architecture resulted in a 90% decrease in infrastructure costs, increased scaling capabilities, and the ability to monitor all streams, all of which improved the consumer experience on Prime Video.
The image below depicts the system’s architecture after migrating to the monolith.
Image Source: Amazon Prime Video
Transforming Monoliths into Microservices
Are you ready to embark on a transformative journey in the realm of software architecture? Our latest real-time project, “Break a Monolith Application into Microservices,” is not just a tutorial; it’s a gateway to revolutionizing the way applications are designed and deployed.
Why Microservices Matter
Traditional monolithic architectures, like an old fortress, have their limitations. As the code base expands, updating and maintaining the fortress becomes a daunting task. Enter microservices—a revolutionary approach that allows applications to scale, evolve, and adapt with unparalleled ease. Our project tackles the challenges of monoliths head-on and guides you through the process of breaking them down into nimble, scalable microservices.
What to Expect in Our Real-Time Project
1. Prerequisite: All you need is an AWS account (Free or Paid). The cost? Practically zilch if you’re within the AWS Free Tier.
2. The Beginnings: Navigate through our project like a seasoned explorer. From setting up your coding battleground to deploying microservices, each step is a discovery that unlocks new dimensions in the coding universe.
3. Introduction: Ever wondered why we’re breaking monoliths? It’s not just for kicks; it’s to unleash the true potential of applications. Our stage? A node.js application hosting a lively message board. Get ready to make it dance to the microservices beat!
4. Hands-On Learning Fiesta: This isn’t your grandma’s boring tutorial. You’ll deploy a monolithic node.js application to a Docker container. Then, brace yourself as you unleash microservices magic, all without any downtime. It’s coding, but make it a party!
5. AWS Wonderland: In this adventure, AWS is your trusty sidekick. From Elastic Container Service (ECS) to Elastic Container Registry (ECR), you’ll become the superhero who masters AWS tools for epic deployment and management.
6. Why It’s Cooler Than a Popsicle: Discover why transitioning from monoliths to microservices is the ultimate power-up. It’s like giving your applications superhero abilities—scalability, maintainability, and the knack to introduce new features seamlessly.
Conclusion: Monolithic vs Microservices Architecture
While microservices are trendy right now, Amazon Prime Video’s return to a monolithic architecture has ignited industry debate and demonstrates that there is no one-size-fits-all answer in software development.
To select the most appropriate design, it is critical to thoroughly assess the trade-offs between Monolithic and Microservices architectures for each component of a system.
FAQs: Monolithic vs Microservices Architecture
Which is better monolithic or microservices?
A monolithic system is often more appropriate for a lightweight application. The microservices architecture is a better solution for a complex, developing application with distinct domains.
Is Netflix a monolithic or microservices?
Netflix is another company that has found success by connecting microservices with APIs.
Is monolith faster than microservices?
Depending on a variety of criteria, organizations can profit from either a monolithic or microservices architecture. The key benefit of working using a monolithic architecture is faster development speed due to the simplicity of having an application based on a single code base.
Related Links/References
- AWS Free Tier Account Details
- Overview of Amazon Web Services & Concepts
- AWS Certified DevOps Engineer Professional DOP-C02
- AWS Certified Solutions Architect Associate SAA-C03
- Amazon Prime Video
- Amazon Monolithic vs Microservices
Next Task For You
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