Brief Summary
This video explains the evolution of application design from monolithic to multi-tier to microservices architectures. It highlights the challenges of monolithic and multi-tier architectures in handling complex applications and how microservices address these challenges by decomposing applications into smaller, independent services. The video also discusses the complexities introduced by a large number of microservices and the tools used to manage them, such as containerization, orchestration, and monitoring tools. It concludes by noting that microservices are not a universal solution and are best suited for complex, evolving applications.
- Microservices address the limitations of monolithic and multi-tier architectures.
- Complexity is managed by decomposing applications into smaller, independent microservices.
- Tools like containerization and orchestration help manage the complexity of microservices-based systems.
Microservices are presented as an architectural approach designed to overcome the limitations of older application designs. The video sets the stage by outlining the progression from monolithic to multi-tier and finally to microservices-based architectures, framing microservices as a response to the challenges posed by increasingly complex applications. This introduction emphasizes the need for a new paradigm to handle the demands of modern, large-scale systems.
The video describes the monolithic architecture as a simple, all-in-one code model where data storage, business logic, and user interface are encapsulated in a single unit. While straightforward for simple applications, this model becomes difficult to maintain, evolve, and scale as complexity grows. The multi-tier architecture is introduced as a solution, separating application components into layers based on technical functions, with the three-tier architecture being a common model consisting of presentation, logic, and data layers.
The video addresses the challenges associated with complex applications, emphasizing the exponential growth in application complexity due to the rise of web and mobile applications. Maintaining, evolving, and scaling complex applications like Amazon or Google requires a design paradigm shift. The best way to tackle complexity is by decomposing it into manageable chunks.
Microservices architecture involves breaking apart the logic and data layers into smaller, independent units called microservices. Each microservice handles one business function end-to-end, independently from other microservices. Microservices communicate through simple APIs and lightweight protocols like HTTP or message queues. Different teams can work separately on different microservices, building new functions and evolving business capabilities without impacting other teams.
As the number of microservices grows, complexity can creep back in, potentially leading to cascading outages if a microservice fails. The software engineering community has created tools to manage this complexity, including containerization (e.g., Docker), container orchestration systems (e.g., Kubernetes), pipeline automation for CI/CD, asynchronous messaging with message brokers, application performance monitoring tools, and logging/audit tools.
The video concludes by stating that microservices are not a universal solution for all application design problems. Applications are still designed as monolithic when they are relatively simple, with a limited number of users, and not fast-evolving. Highly distributed systems are inherently complex.
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Transcript
Full transcript of “Microservices Explained in 5 Minutes”. Click a timestamp to open the video at that moment. Need another video? Use the YouTube transcript generator.
0:01 Microservices explained in five minutes. Microservices are a popular architectural paradigm that addresses the limitations and drawbacks of legacy applications. To understand the foundation of microservices, we need to take a look at the history and evolution of application design: from monolithic to multi-tier to microservice based architectures . A straightforward way to build a simple application is to design it as a single piece of code encapsulating data storage and access, business logic, and processes and user interfaces. That used to be the way applications and system are designed and built in the early days. Soon however, this all-in-one code model showed its
0:48 limits when building complex intricate systems. Since everything is Tangled together it becomes quickly difficult to maintain evolve and scale such applications. Software Engineers propose the solution to this complexity problem: the multi-tier architecture where application components are separated into layers based on technical functions. A common model is the three tiers architecture. It consists of three logical layers: a presentation layer covers all the code and components responsible for the interaction with users through visual interfaces, a logical layer encompasses all the business logic and processes relative to the business functions, and a data layer dealing with storing accessing and retrieving data when needed. While separating logic and data in
1:38 two different layers made things better it was still a centralized way to designing application and it didn't address quite well the challenges associated with complex applications and systems let's take a look at these challenges application complexity has been exponentially growing with the Advent of global high growth Festival Wing web and mobile applications maintaining evolving and scaling very complex applications like Amazon e-commerce website or Google search engine required a design paradigm shift here again the best way to tackle complexity is by decomposing it into manageable chunks that is
2:25 why software Engineers decided to break apart the logic and data layers into smaller pieces called microservices every microservice deals with one business function end-to-end independently from other microservices microservices presents simple easy to understand apis and communicate with each other through lightweight common protocols such as HTTP or message queues when an application is architected as a microservices different teams can work separately and independently on different microservices building new functions and evolving the business capabilities without impacting other teams and business functions theoretically teams could even use
3:13 different programming languages and deploy their microservices to different infrastructure however for cost reduction efficiency Improvement and operational optimization reasons most organization limit team choices to a set of approved tools infrastructure providers and programming languages as applications continue evolving and growing the number of microservices inside an organization could expand to tens hundreds or even thousands as this happens complexity starts creeping again for example if a microservice instance fails in production it could generate Cascade of outages within other microservices since the architecture is highly distributed it could become difficult to
3:59 identify the root cause and fix it in a timely manner the software engineering community has been creating and inventing new tools to tackle and contain the ever-growing complexity of Highly distributed microservice based systems some of the popular tools include containerization that helps deploy microservices in minimalist self-contained runtimes such as Docker containers container orchestration systems that manage containers life cycles such as kubernetes pipeline automation for CI-CD asynchronous messaging that further the couple's microservices by providing message Brokers and queues application performance monitoring tools to track microservice performance login and audit tools that help keep track of everything happening within the system
4:51 we need to understand that microservices are not a Magic Bullet that fixes all application design and development problems applications are still designed as monolithic when they are relatively simple with limited number of users and not fast evolving remember that highly distributed systems are hard
