Elevate your cloud computing skills with our advanced course on microservices and containerization. Dive deep into Docker and Kubernetes, and gain hands-on experience to build scalable applications that stand out in the tech landscape.

Build Scalable Microservices - Course

# Unlock the Secrets of Scalable Microservices Architecture!

Embark on a transformative journey to master the art of scalable microservices architecture. This advanced course is designed for experienced developers eager to elevate their skills and stay ahead in the rapidly evolving cloud computing landscape. You will delve into the intricacies of Docker and Kubernetes, gaining hands-on experience that transcends theoretical knowledge. By the end, you will not only design and implement a robust microservices architecture but also emerge as a pioneer ready to tackle the challenges of modern cloud applications.


### Who is it for?

This course is tailor-made for experienced developers like you, who have a solid foundation in software development and are familiar with cloud concepts. If you're feeling the pressure to stay relevant in a rapidly evolving tech landscape, you're not alone. Many developers struggle with the complexities of microservices, Docker, and Kubernetes. But fear not! With our course, you’ll gain the expertise needed to tackle these challenges head-on.

- Developers looking to specialize in cloud computing
- Tech leads overseeing cloud projects
- Companies transitioning to microservices architecture

**Recommended skill level: Advanced developers with a strong background in software development and familiarity with cloud concepts.**


### Prerequisites

Before diving in, you’ll need a strong understanding of software development principles, familiarity with cloud computing concepts, and basic knowledge of Docker and Kubernetes. But don’t worry—these aren’t barriers; they’re the stepping stones to your transformation! If you feel a bit rusty, we’ll provide recommended resources to refresh your skills and ensure you're fully prepared for this exhilarating journey.

- 💻 Strong understanding of software development principles
- ☁️ Familiarity with cloud computing concepts
- 🐳 Basic knowledge of Docker and Kubernetes

### What's inside

In this course, you’ll engage in exciting modules that will challenge your skills and push your limits!

- Microservices Unleashed: Principles & Practices
- Docker Dynamics: Containerization Essentials
- Kubernetes Mastery: Orchestrating Containers at Scale
- API Communication: The Heart of Microservices
- Scaling Strategies: Optimizing Performance
- Production Readiness: Best Practices for Deployment
- Final Project: Integrating Your Knowledge

**Interactive Quizzes**

Students will engage in self-assessment after each module through comprehensive checklists, ensuring they reflect on their understanding and application of the concepts covered. Criteria will include practical application, documentation quality, and engagement in peer reviews.

**Homework**

Get ready for hands-on challenges that will push your limits and ignite your creativity! In this course, you’ll engage in exciting assignments such as creating a Dockerfile, deploying a Kubernetes Cluster, and designing a RESTful API. These assignments are not just tasks; they are your ticket to mastering real-world applications that will enhance your employability and ROI in the cloud computing industry.

**Practical Project**

In the final module, integrate all your knowledge and skills to build a complete microservices application. This capstone project showcases your capabilities and understanding of scalable architecture.

**Before You Start**

Prepare for an exhilarating journey into the world of cloud computing by reviewing the prerequisites and ensuring you have the foundational knowledge necessary to succeed. We’ll provide resources to help you refresh your skills and get ready for the hands-on challenges ahead!

**Books to Read**

Recommended readings will be provided to deepen your understanding of microservices, Docker, and Kubernetes. These resources will serve as valuable references throughout your learning journey and beyond!

**Glossary**

A glossary of key terms and concepts will be provided to help you navigate the technical language of microservices and cloud computing. This resource will ensure you have a solid understanding of the terminology used throughout the course.


### What will you learn

By the end of this course, you will confidently design and implement a scalable microservices architecture, setting you apart in the competitive tech landscape.

- Design and implement a scalable microservices architecture using Docker and Kubernetes.
- Master the principles of API communication in microservices.
- Effectively manage and orchestrate containers in production environments.

**Time to complete this course: Invest 8-10 weeks of your time—just 15-20 hours a week—to transform your career. Remember, every moment spent learning is an investment in your future. Don’t let this opportunity pass you by!**


### Join the Course Now and Transform Your Career!

A solid grasp of software development principles is essential, as it allows you to effectively design and implement microservices, ensuring best practices in code quality and maintainability.

Strong Software Development Principles

Understanding cloud computing fundamentals is crucial for navigating the course, as it provides context for deploying and managing microservices in a cloud environment.

Familiarity with Cloud Computing Concepts

Having a foundational understanding of Docker and Kubernetes will enable you to dive deeper into containerization and orchestration, making it easier to grasp advanced concepts.

Basic Knowledge of Docker and Kubernetes

## Unlock the Secrets of Scalable Microservices Architecture!

Embark on a transformative journey to master the art of scalable microservices architecture. This advanced course is designed for experienced developers eager to elevate their skills and stay ahead in the rapidly evolving cloud computing landscape. You will delve into the intricacies of Docker and Kubernetes, gaining hands-on experience that transcends theoretical knowledge. By the end, you will not only design and implement a robust microservices architecture but also emerge as a pioneer ready to tackle the challenges of modern cloud applications.

### Who is it For?
This course is tailor-made for experienced developers like you, who have a solid foundation in software development and are familiar with cloud concepts. If you're feeling the pressure to stay relevant in a rapidly evolving tech landscape, you're not alone. Many developers struggle with the complexities of microservices, Docker, and Kubernetes. But fear not! With our course, you’ll gain the expertise needed to tackle these challenges head-on.

**Skill Level:** Advanced developers with a strong background in software development and familiarity with cloud concepts.

**Audience:** Developers looking to specialize in cloud computing, Tech leads overseeing cloud projects, Companies transitioning to microservices architecture.

### Prerequisites
Before diving in, you’ll need a strong understanding of software development principles, familiarity with cloud computing concepts, and basic knowledge of Docker and Kubernetes. But don’t worry—these aren’t barriers; they’re the stepping stones to your transformation! If you feel a bit rusty, we’ll provide recommended resources to refresh your skills and ensure you're fully prepared for this exhilarating journey.

**Requirements:**
- Strong understanding of software development principles
- Familiarity with cloud computing concepts
- Basic knowledge of Docker and Kubernetes

### What's Inside?
In this course, you’ll engage in exciting modules that will challenge your skills and push your limits! 

**Modules:**
1. Microservices Unleashed: Principles & Practices
2. Docker Dynamics: Containerization Essentials
3. Kubernetes Mastery: Orchestrating Containers at Scale
4. API Communication: The Heart of Microservices
5. Scaling Strategies: Optimizing Performance
6. Production Readiness: Best Practices for Deployment
7. Final Project: Integrating Your Knowledge

**Quizzes:**
Students will engage in self-assessment after each module through comprehensive checklists, ensuring they reflect on their understanding and application of the concepts covered. Criteria will include practical application, documentation quality, and engagement in peer reviews.

**Assignments:**
Get ready for hands-on challenges that will push your limits and ignite your creativity! In this course, you’ll engage in exciting assignments such as creating a Dockerfile, deploying a Kubernetes Cluster, and designing a RESTful API. These assignments are not just tasks; they are your ticket to mastering real-world applications that will enhance your employability and ROI in the cloud computing industry.

**Practical Project:**
In the final module, integrate all your knowledge and skills to build a complete microservices application. This capstone project showcases your capabilities and understanding of scalable architecture.

**Before You Start:**
Prepare for an exhilarating journey into the world of cloud computing by reviewing the prerequisites and ensuring you have the foundational knowledge necessary to succeed. We’ll provide resources to help you refresh your skills and get ready for the hands-on challenges ahead!

**Books to Read:**
Recommended readings will be provided to deepen your understanding of microservices, Docker, and Kubernetes. These resources will serve as valuable references throughout your learning journey and beyond!

**Glossary:**
A glossary of key terms and concepts will be provided to help you navigate the technical language of microservices and cloud computing. This resource will ensure you have a solid understanding of the terminology used throughout the course.

### What Will You Learn?
By the end of this course, you will confidently design and implement a scalable microservices architecture, setting you apart in the competitive tech landscape.

**Skills:**
- Design and implement a scalable microservices architecture using Docker and Kubernetes.
- Master the principles of API communication in microservices.
- Effectively manage and orchestrate containers in production environments.

### Time to Complete
Invest 8-10 weeks of your time—just 15-20 hours a week—to transform your career. Remember, every moment spent learning is an investment in your future. Don’t let this opportunity pass you by!

### Join the Course Now and Transform Your Career!

Elevate your cloud computing skills with our advanced course on microservices and containerization.

An architectural style that structures an application as a collection of loosely coupled services, enhancing scalability and flexibility.

A platform that enables developers to automate the deployment of applications within lightweight containers, ensuring consistency across environments.

An open-source orchestration system for automating the deployment, scaling, and management of containerized applications.

The method by which different software components interact, crucial for microservices to exchange data and functionality.

The capability of a system to handle a growing amount of work or its potential to accommodate growth.

The encapsulation of an application and its dependencies into a container, allowing for consistent execution across various environments.

A script containing a series of instructions on how to build a Docker image, defining the application environment.

The process of breaking down an application into smaller, manageable services, each responsible for a specific function.

A traditional model where an application is built as a single unified unit, making it less flexible than microservices.

The distribution of network or application traffic across multiple servers to ensure no single server becomes overwhelmed.

The process of adding more machines or instances to handle increased load, as opposed to upgrading existing hardware.

Increasing the capacity of existing hardware or virtual machines to improve performance.

A development practice where code changes are automatically tested and merged into a shared repository frequently.

A software release process where code changes are automatically deployed to production after passing CI tests.

An architectural style for designing networked applications, using HTTP requests to access and manipulate data.

Read-only templates used to create containers, containing everything needed to run an application.

A set of nodes (machines) that run containerized applications managed by Kubernetes.

The process of continuously observing the performance and health of applications and infrastructure.

Techniques aimed at improving the speed and efficiency of applications, especially under load.

Measures taken to protect APIs from malicious attacks and unauthorized access.

Methods for releasing new versions of applications, including blue-green and canary deployments.

Comprehensive information about the system, including architecture, APIs, and deployment processes, essential for maintainability.

Delivery of computing services over the internet, allowing for flexible resources and scalability.

Practical implementations of theoretical concepts in actual business scenarios, demonstrating their effectiveness.

A collection of projects showcasing an individual's skills and experience in building scalable applications.

Microservices architecture is revolutionizing the way applications are built and scaled. Unlike monolithic architectures, which bundle all components into a single unit, microservices break down applications into smaller, independent services that can be developed, deployed, and scaled individually. This modular approach allows for greater flexibility and efficiency in development.

At the heart of microservices lies a few core principles that guide their design and implementation. These include:
- **Service Decomposition**: The process of breaking down an application into smaller, manageable services, each responsible for a specific business capability.
- **Decentralization**: Microservices promote decentralized data management, allowing each service to manage its own database.
- **Inter-Service Communication**: Services communicate over lightweight protocols, often using REST APIs or messaging queues.

To appreciate the advantages of microservices, it's essential to contrast them with monolithic architectures:
- **Monolithic**: A single codebase where all components are interconnected. Changes to one part can affect the whole system, making it challenging to scale.
- **Microservices**: Each service is independent, allowing for isolated updates and scaling. This reduces the risk of system-wide failures.

"In a monolithic architecture, a single failure can bring down the entire application. In microservices, the failure of one service doesn't necessarily affect others."

Service decomposition is not just a technical choice; it's a strategic one. Here’s why it matters:
- **Scalability**: Individual services can be scaled independently based on demand, optimizing resource usage.
- **Flexibility**: Teams can adopt different technologies for different services, allowing for innovation and experimentation.

Companies like Netflix and Amazon have successfully implemented microservices to enhance scalability and reliability. For instance, Netflix uses microservices to handle millions of requests daily, allowing them to deploy new features without downtime.

Common Pitfalls in Microservices Adoption

While microservices offer numerous advantages, they also come with challenges:
- **Complexity**: Managing multiple services can lead to operational overhead.
- **Data Management**: Ensuring data consistency across services can be tricky.

To solidify your understanding, engage in a hands-on exercise where you:
1. Choose a simple application (e.g., an e-commerce site).
2. Identify potential services (e.g., user service, order service, payment service).
3. Create a diagram illustrating the service decomposition.

Consider how the principles of microservices architecture can influence your approach to designing scalable applications. Reflect on the potential benefits and challenges you foresee in your projects.

Homework: Exploring Microservices

Decoding Microservices: The Core Principles

Microservices Principles Quiz

In the realm of software development, the choice between microservices and monolithic architecture is pivotal. Monolithic applications, where all components are tightly coupled, can become cumbersome as they grow, leading to challenges in scalability, maintainability, and deployment. In contrast, microservices offer a more flexible approach by breaking down applications into smaller, independent services that can be developed, deployed, and scaled independently.

Scalability: Microservices can be scaled independently, allowing for more efficient resource utilization.

Flexibility: Teams can use different technologies for different services, optimizing for specific needs.

Faster Deployment: Smaller codebases enable quicker deployment cycles.

Improved Fault Isolation: A failure in one service does not necessarily impact the entire application.

These benefits make microservices particularly appealing for modern applications that require agility and responsiveness.

Challenges of Transitioning from Monoliths

Increased Complexity: Managing multiple services can lead to operational challenges.

Data Management: Ensuring data consistency across services can be difficult.

Deployment Overhead: More services mean more deployment pipelines to manage.

Communication Overhead: Services must communicate over a network, which can introduce latency.

Transitioning from a monolithic architecture to microservices requires careful planning and consideration of these challenges.

Strategic Evaluation of Architectural Choices

When evaluating whether to adopt microservices, consider the following factors:

Application Size and Complexity: Larger applications with numerous features may benefit from microservices.

Team Structure: If your teams are organized around different features, microservices may align better with your workflow.

Performance Requirements: Applications requiring high availability and scalability may necessitate a microservices approach.

Budget Constraints: Consider the costs associated with managing multiple services.

By conducting a thorough evaluation, you can make informed decisions about your architectural choices.

Several companies have successfully transitioned from monolithic to microservices architectures. For example, Netflix adopted microservices to handle its massive scale and user base, enabling it to deploy updates frequently without downtime. Similarly, Amazon employs microservices to allow different teams to work independently on various services, enhancing overall agility.

To apply what you've learned, analyze a case study of a company that transitioned from monolithic to microservices architecture. Consider the following questions:

What were the key drivers for the transition?

What challenges did they face during the transition?

What benefits have they realized since adopting microservices?

This exercise will deepen your understanding of the strategic implications of architectural choices.

💡 Tip: When transitioning to microservices, start small. Identify a specific service that can be decoupled from the monolith and build it as a microservice. This approach reduces risk and allows you to learn incrementally.

Homework: Microservices vs. Monoliths

Microservices vs. Monoliths: A Comparative Analysis

Microservices vs. Monoliths Quiz

Scalability in microservices refers to the ability of an application to handle increased load without compromising performance. This can be achieved through various patterns, each suited for different scenarios. The two primary types of scalability are horizontal and vertical scaling.

**Horizontal Scaling:** Adding more instances of a service to distribute the load.

**Vertical Scaling:** Increasing the resources (CPU, memory) of existing instances.

Choosing the right pattern depends on the application's architecture and expected growth. For instance, horizontal scaling is often preferred in cloud environments due to its flexibility and cost-effectiveness.

Tip: Always consider the potential bottlenecks in your architecture when designing for scalability. Identify single points of failure and plan for redundancy.

Best Practices for Designing Scalable Systems

When designing for scalability, adhering to best practices can significantly enhance your system's performance and reliability. Here are some key practices to consider:

**Service Decomposition:** Break down your application into smaller, manageable services that can be developed, deployed, and scaled independently.

**Load Balancing:** Implement load balancers to distribute incoming traffic evenly across service instances, preventing any single instance from becoming a bottleneck.

**Caching Strategies:** Utilize caching mechanisms to reduce database load and speed up response times.

**Asynchronous Communication:** Adopt asynchronous messaging patterns to decouple services and improve throughput.

These practices not only improve scalability but also enhance maintainability and resilience.

Load distribution is a critical factor in achieving scalability. It involves spreading the workload across multiple resources to ensure optimal performance. Here are some strategies for effective load distribution:

**Round Robin:** Distributing requests sequentially across all available instances.

**Least Connections:** Directing traffic to the instance with the least active connections.

**IP Hashing:** Allocating requests based on the client's IP address to ensure consistent routing.

Choosing the right load distribution strategy can significantly affect your system's responsiveness and reliability.

"The goal is to design systems that can scale and adapt to changing demands, ensuring consistent performance under load." - Expert in Cloud Computing

Hands-On Exercise: Designing a Scalable Microservice

Now, let's put your knowledge into practice. In this hands-on exercise, you will design a scalable microservice architecture.

Define the key services required for your application.

Identify the scalability patterns that best fit each service.

Create a diagram illustrating your proposed architecture, highlighting load distribution strategies.

Document your design choices and the rationale behind them.

This exercise will help solidify your understanding of scalability principles and prepare you for real-world applications.

When designing for scalability, certain pitfalls can hinder your efforts. Be aware of these common mistakes:

**Neglecting to Monitor Performance:** Without monitoring, it's challenging to identify bottlenecks or performance issues.

**Overcomplicating Architecture:** Keep your design simple and avoid unnecessary complexity.

**Ignoring Security Implications:** Ensure that scalability does not compromise security.

Addressing these pitfalls early in the design process can save time and resources later on.

Real-World Example: Successful Scaling in Action

Consider a well-known e-commerce platform that successfully transitioned from a monolithic architecture to microservices. By implementing horizontal scaling and effective load distribution strategies, they managed to handle peak traffic during sales events without downtime.

This case illustrates the importance of scalability in real-world applications and the tangible benefits of adopting microservices.

In this lesson, you have learned about designing microservices for scalability, including patterns, best practices, and load distribution strategies. By applying these principles, you can build robust and scalable applications that meet the demands of modern cloud environments.

As you move forward, remember to continuously evaluate your designs against scalability challenges and adapt as necessary.

Homework: Designing for Scalability

Designing for Scalability: Key Considerations

Scalability Quiz

Microservices architecture has revolutionized how applications are built and deployed across industries. By breaking down applications into smaller, manageable services, organizations can achieve greater scalability, flexibility, and resilience. Let's explore some real-world applications of microservices that have set benchmarks in various sectors.

Netflix is a prime example of a company that has fully embraced microservices. With millions of users streaming content simultaneously, they needed a solution that could handle massive loads without compromising performance. By transitioning to a microservices architecture, Netflix achieved: 
- **Scalability**: Independent services can be scaled based on demand. 
- **Resilience**: If one service fails, others continue to operate, ensuring uninterrupted service.

💡 Key Insight: Netflix's transition to microservices allowed them to innovate rapidly and deploy new features without affecting the entire system.

Amazon's architecture is built on microservices, allowing it to handle millions of transactions daily. Key benefits include: 
- **Independent Deployments**: Teams can deploy services without waiting for others, speeding up development cycles. 
- **Diverse Technology Stack**: Different services can be built using the best technology for the task, enhancing overall performance.

"The key to Amazon's success is its ability to innovate rapidly and scale effectively, thanks to microservices architecture." - Tech Industry Analyst

Spotify has adopted microservices to manage its vast library and deliver personalized experiences. Their approach includes: 
- **User-Centric Features**: Services are designed around user needs, allowing for tailored recommendations. 
- **Rapid Experimentation**: New features can be tested and rolled back quickly without impacting the entire platform.

From these examples, we can extract several key takeaways: 
- **Embrace Independence**: Services should be independent to allow for easier scaling and deployment. 
- **Focus on Resilience**: Design systems that can withstand failures without affecting the overall application. 
- **Prioritize User Experience**: Build services that cater to user needs, enabling personalized interactions.

Hands-On Exercise: Analyzing a Microservices Implementation

Now it's your turn! Choose a company that has successfully implemented microservices and analyze their approach. Consider the following: 
1. What challenges did they face during the transition? 
2. How did they structure their services? 
3. What benefits have they realized since adopting microservices?

Create a presentation summarizing your findings and present it to your peers.

Understanding real-world applications of microservices provides invaluable insights into their implementation and benefits. As you embark on your journey to design scalable applications, keep these success stories in mind to guide your architectural decisions.

Homework

Real-World Applications of Microservices: Success Stories

Microservices Success Analysis

The allure of microservices lies in their promise of scalability, flexibility, and resilience. However, as many seasoned developers discover, the journey to microservices is fraught with challenges. Understanding these challenges is the first step toward overcoming them.

Common Challenges in Microservices Adoption

Adopting microservices architecture introduces several complexities that can disrupt development processes. Here are some of the most common challenges:

Service Communication: Ensuring reliable communication between services can be difficult.

Data Management: Handling data consistency and integrity across multiple services is a significant hurdle.

Deployment Complexity: Managing multiple services in production requires robust orchestration and monitoring.

Performance Bottlenecks: Identifying and resolving performance issues in a distributed system can be challenging.

Team Coordination: Aligning multiple teams working on different services can lead to integration issues.

🔍 **Tip:** Regularly assess your microservices architecture to identify potential pitfalls early on. Early detection can save significant time and resources.

Strategies for Overcoming Architectural Pitfalls

To successfully navigate the complexities of microservices, consider these strategies:

Implement API Gateways: Use API gateways to manage service communication and simplify client interactions.

Adopt Event-Driven Architecture: Leverage messaging systems to decouple services and enhance scalability.

Establish Data Ownership: Assign clear data ownership to specific services to reduce data management challenges.

Automate Deployment: Utilize CI/CD pipelines to streamline deployment processes and reduce errors.

Monitor and Log Effectively: Implement centralized logging and monitoring solutions to quickly identify performance issues.

"Microservices are not just a technology; they are a mindset. Embrace the challenges, and you'll unleash their true potential." - Industry Expert

Understanding and mitigating risks are crucial in microservices architecture. Here are some techniques:

Conduct Regular Architecture Reviews: Periodically review your architecture to identify potential risks.

Implement Chaos Engineering: Introduce controlled failures to test the resilience of your microservices.

Use Feature Flags: Gradually roll out features to mitigate the risk of introducing breaking changes.

Engage in Continuous Learning: Stay updated on best practices and emerging technologies in the microservices space.

⚠️ **Common Pitfall:** Underestimating the complexity of data management can lead to significant issues. Always prioritize data consistency and integrity.

Hands-On Exercise: Risk Assessment Simulation

To solidify your understanding, engage in a hands-on exercise:

Create a risk assessment matrix for a hypothetical microservices application, identifying potential risks and mitigation strategies.

Participate in a peer review session to discuss the risk assessments and gather feedback.

This exercise will help you practice identifying risks in real-world scenarios and develop strategies for managing them.

Real-World Example: A Microservices Transition Case Study

Consider the case of a leading e-commerce platform that transitioned from a monolithic architecture to microservices. They faced challenges in service communication and data consistency. By implementing an event-driven architecture and adopting API gateways, they successfully navigated these challenges, resulting in improved scalability and performance.

This case study exemplifies how understanding and addressing challenges can lead to successful microservices adoption.

Homework: Navigating Microservices Challenges

Challenges in Microservices: Navigating the Pitfalls

Microservices Challenges Quiz

Microservices architecture is a modern approach to building applications that emphasizes the development of small, independent services that communicate over well-defined APIs. This architectural style allows organizations to scale their applications efficiently and respond to changing business needs.

Key characteristics of microservices include:
- **Service Decomposition**: Breaking down applications into smaller, manageable services.
- **Independent Deployment**: Each service can be deployed independently, allowing for faster updates.

💡 **Tip:** Always consider the business capabilities when designing services. Each microservice should represent a specific business function, making it easier to manage and scale.

Teamwork is essential in microservices design. In this section, you will work in groups to brainstorm and outline a microservices application based on provided requirements.

- Form groups of 4-5 participants to facilitate collaboration.

- Review the provided requirements and identify key services needed.

- Discuss the interactions between services and how they will communicate.

- Create a service diagram illustrating your proposed architecture.

Applying theoretical concepts to practical scenarios is crucial in mastering microservices. As you design your application, consider the following best practices:

- **API Design**: Ensure that APIs are well-defined and adhere to RESTful principles.

- **Data Management**: Decide how data will be managed across services, considering consistency and availability.

- **Scalability**: Plan for scaling each service independently based on load.

Effective communication within your team is vital. Use collaborative tools to share ideas and keep track of progress.

- Utilize tools like Trello or Jira for task management.

- Schedule regular check-ins to discuss progress and challenges.

Hands-On Workshop: Design Your Microservices Application

Now it’s time to put your knowledge into action. Follow these steps to design your microservices application:

Define the core functionalities your application will provide.

Identify the services required to implement these functionalities.

Outline the API endpoints for each service.

Create a deployment strategy considering Docker and Kubernetes.

At the end of the workshop, each group will present their microservices design. This is an opportunity to receive feedback and refine your architecture.

- Prepare a 10-minute presentation summarizing your design.

- Be ready to answer questions and discuss your design choices.

"The best way to predict the future is to invent it." - Alan Kay

Reflect on the design process and the collaborative experience. Consider how the principles of microservices can be applied to your future projects.

- Write a brief reflection on what you learned during this workshop.

Homework: Microservices Design Report

Microservices in Action: A Design Workshop

Microservices Design Workshop Quiz

Dive deep into the foundational principles of microservices architecture. This module challenges you to understand the core concepts that drive scalable applications, preparing you for practical implementation with Docker and Kubernetes.

Microservices Unleashed: Principles & Practices

Docker images are the blueprints of your application. They contain everything needed to run an application, including the code, runtime, libraries, and dependencies. Think of an image as a snapshot of your application at a specific point in time.

Layers: Each image is made up of layers that represent changes made to the image.

Base Images: These are the foundational images from which other images are built.

Dockerfile: A text file that contains instructions on how to build a Docker image.

🚨 **Tip:** Always use official base images when possible to ensure security and reliability!

Understanding Docker Images and Containers

Explore the transformative world of Docker, a pivotal tool for containerization. This module equips you with the skills to rapidly deploy applications, setting the stage for a microservices architecture.

Strong Software Development Principles

Familiarity with Cloud Computing Concepts

Basic Knowledge of Docker and Kubernetes

Microservices Architecture

Why This Matters:

Recommended Resource:

Docker Fundamentals

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Kubernetes Basics

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Preparation Tips

What to Expect

Words of Encouragement