The objective of this project is to challenge your understanding of DevOps and cloud technologies by providing hands-on experience in deploying and managing a microservices-based application on the Amazon Web Services (AWS) cloud platform. Your mission is to:
The objective of this project is to challenge your understanding of DevOps and
cloud technologies by providing hands-on experience in deploying and managing a
microservices-based application on the Amazon Web Services (AWS) cloud
platform. Your mission is to:
Set up and configure an AWS environment for deploying microservices.
Deploy the provided microservices application to the AWS environment.
Implement monitoring, logging, and scaling to ensure that the application runs efficiently.
Implement security measures, such as securing the databases and making private resources accessible only from the Amazon Virtual Private Cloud (VPC).
Incorporate managed authentication for publicly accessible applications using AWS Cognito or a similar service.
Optimize the application to handle varying workloads and unexpected events.
Set up and configure an AWS environment for deploying microservices. Deploy the
provided microservices' application to the AWS environment. Implement
monitoring, logging, and scaling to ensure that the application runs
efficiently. Implement security measures, such as securing the databases and
making private resources accessible only from the Amazon Virtual Private Cloud
(VPC). Incorporate managed authentication for publicly accessible applications
using *AWS Cognito* or a similar service. Optimize the application to handle
varying workloads and unexpected events.
### Hints
Before starting this project, you should know the following:
- Basic DevOps concepts and practices.
- Familiarity with containerization and orchestration tools, such as Docker and Kubernetes.
- Familiarity with containerization and orchestration tools, such as Docker and
Kubernetes.
- Understanding of AWS cloud platform.
- Familiarity with Terraform as a Infrastructure as Code (IaC) tools.
- Knowledge of monitoring and logging tools, such as Prometheus, Grafana, and ELK stack.
- Knowledge of monitoring and logging tools, such as Prometheus, Grafana, and
ELK stack.
> Any lack of understanding of the concepts of this project may affect the difficulty of future projects, take your time to understand all concepts.
> Any lack of understanding of the concepts of this project may affect the
> difficulty of future projects, take your time to understand all concepts.
> Be curious and never stop searching!
### Roleplay
### Roleplay
To further enhance the learning experience and assess your knowledge, a roleplay question session will be included as part of the Cloud-Design Project. This section will involve your answering a series of questions in a simulated real-world scenario, where you will assume the role of a Cloud engineer explaining your solution to a team or a stakeholder.
To further enhance the learning experience and assess your knowledge, a
role play question session will be included as part of the Cloud-Design Project.
This section will involve your answering a series of questions in a simulated
real-world scenario, where you will assume the role of a Cloud engineer
explaining your solution to a team or a stakeholder.
To enhance the learning experience and assess your knowledge, a roleplay question session will be included as part of the Cloud-Design Project. This section will involve answering a series of questions in a simulated real-world scenario where you assume the role of a Cloud engineer explaining your solution to a team or stakeholder.
To enhance the learning experience and assess your knowledge, a role play
question session will be included as part of the Cloud-Design Project. This
section will involve answering a series of questions in a simulated real-world
scenario where you assume the role of a Cloud engineer explaining your solution
to a team or stakeholder.
The goal of the roleplay question session is to:
The goal of the roleplay question session is to:
- Assess your understanding of the concepts and technologies used in the project.
- Assess your understanding of the concepts and technologies used in the
project.
- Test your ability to communicate effectively and explain your decisions.
- Challenge you to think critically about your solution and consider alternative approaches.
- Challenge you to think critically about your solution and consider
alternative approaches.
Prepare for a roleplay question session where you will assume the role of a Cloud engineer presenting your solution to your team or a stakeholder. You should be ready to answer questions and provide explanations about your decisions, architecture, and implementation.
Prepare for a role play question session where you will assume the role of a
Cloud engineer presenting your solution to your team or a stakeholder. You
should be ready to answer questions and provide explanations about your
decisions, architecture, and implementation.
### Architecture
By using your solutions in your previous projects `crud-master`, `play-with-containers`, and `orchestrator` you have to design and deploy the infrastructure on AWS respecting the project requirements, consisting of the following components:
- `inventory-database container` is a PostgreSQL database server that contains your inventory database, it must be accessible via port `5432`.
- `billing-database container` is a PostgreSQL database server that contains your billing database, it must be accessible via port `5432`.
- `inventory-app container` is a Node.js server that contains your inventory-app code running and connected to the inventory database and accessible via port `8080`.
- `billing-app container` is a Node.js server that contains your billing-app code running and connected to the billing database and consuming the messages from the RabbitMQ queue, and it can be accessed via port `8080`.
By using your solutions in your previous projects `crud-master`,
`play-with-containers`, and `orchestrator` you have to design and deploy the
infrastructure on AWS respecting the project requirements, consisting of the
following components:
- `inventory-database container` is a PostgreSQL database server that contains
your inventory database, it must be accessible via port `5432`.
- `billing-database container` is a PostgreSQL database server that contains
your billing database, it must be accessible via port `5432`.
- `inventory-app container` is a server that contains your
inventory-app code running and connected to the inventory database and
accessible via port `8080`.
- `billing-app container` is a server that contains your billing-app
code running and connected to the billing database and consuming the messages
from the RabbitMQ queue, and it can be accessed via port `8080`.
- `RabbitMQ container` is a RabbitMQ server that contains the queue.
- `api-gateway-app container` is a Node.js server that contains your "api-gateway-app" code running and forwarding the requests to the other services and it's accessible via port `3000`.
- `api-gateway-app container` is a server that contains your
API Gateway code running and forwarding the requests to the other
services, and it's accessible via port `3000`.
Design the architecture for your cloud-based microservices application. You are free to choose the services and architectural patterns that best suit your needs, as long as they meet the project requirements and remain within a reasonable cost range. Consider the following when designing your architecture:
Design the architecture for your cloud-based microservices' application. You
are free to choose the services and architectural patterns that best suit your
needs, as long as they meet the project requirements and remain within a
reasonable cost range. Consider the following when designing your architecture:
1. `Scalability`: Ensure that your architecture can handle varying workloads and can scale up or down as needed. AWS offers services like Auto Scaling that can be used to achieve this.
1. `Scalability`: Ensure that your architecture can handle varying workloads
and can scale up or down as needed. AWS offers services like Auto Scaling
that can be used to achieve this.
2. `Availability`: Design your architecture to be fault-tolerant and maintain high availability, even in the event of component failures.
2. `Availability`: Design your architecture to be fault-tolerant and maintain
high availability, even in the event of component failures.
3. `Security`: Incorporate security best practices into your architecture, such as encrypting data at rest and in transit, using private networks, and securing API endpoints. Also, ensure that the databases and private resources are accessible only from the AWS VPC and use AWS managed authentication for publicly accessible applications.
3. `Security`: Incorporate security best practices into your architecture, such
as encrypting data at rest and in transit, using private networks, and
securing API endpoints. Also, ensure that the databases and private
resources are accessible only from the AWS VPC and use AWS managed
authentication for publicly accessible applications.
4. `Cost-effectiveness`: Be mindful of the costs associated with the services and resources you select. Aim to design a cost-effective architecture without compromising performance, security, or scalability.
4. `Cost-effectiveness`: Be mindful of the costs associated with the services
and resources you select. Aim to design a cost-effective architecture
without compromising performance, security, or scalability.
5. `Simplicity`: Keep your architecture as simple as possible, while still meeting the project requirements. Avoid overcomplicating the design with unnecessary components or services.
5. `Simplicity`: Keep your architecture as simple as possible, while still
meeting the project requirements. Avoid overcomplicating the design with
unnecessary components or services.
### Cost management:
1. `Understand the pricing model`: Familiarize yourself with the pricing model of the cloud provider and services you are using. Be aware of any free tiers, usage limits, and pay-as-you-go pricing structures.
1. `Understand the pricing model`: Familiarize yourself with the pricing model
of the cloud provider and services you are using. Be aware of any free
tiers, usage limits, and pay-as-you-go pricing structures.
2. `Monitor your usage`: Regularly check your cloud provider's billing dashboard to keep track of your usage and spending. Set up billing alerts to notify you when your spending exceeds a certain threshold.
2. `Monitor your usage`: Regularly check your cloud provider's billing
dashboard to keep track of your usage and spending. Set up billing alerts to
notify you when your spending exceeds a certain threshold.
3. `Clean up resources`: Remember to delete or stop any resources that you no longer need, such as virtual machines, storage services, and load balancers. This will help you avoid ongoing charges for idle resources.
3. `Clean up resources`: Remember to delete or stop any resources that you no
longer need, such as virtual machines, storage services, and load balancers.
This will help you avoid ongoing charges for idle resources.
4. `Optimize resource allocation`: Use the appropriate resource sizes for your needs and experiment with different configurations to find the most cost-effective solution. Consider using spot instances, reserved instances, or committed use contracts to save on costs, if applicable.
4. `Optimize resource allocation`: Use the appropriate resource sizes for your
needs and experiment with different configurations to find the most
cost-effective solution. Consider using spot instances, reserved instances,
or committed use contracts to save on costs, if applicable.
5. `Leverage cost management tools`: Many cloud providers offer cost management tools and services to help you optimize your spending. Use these tools to analyze your usage patterns and identify opportunities for cost savings.
tools and services to help you optimize your spending. Use these tools to
analyze your usage patterns and identify opportunities for cost savings.
> By being aware of your cloud usage and proactively managing your resources, you can avoid unexpected costs and make the most of your cloud environment. Remember that the responsibility for cost management lies with you, and it is crucial to stay vigilant and proactive throughout the project.
> By being aware of your cloud usage and proactively managing your resources,
> you can avoid unexpected costs and make the most of your cloud environment.
> Remember that the responsibility for cost management lies with you, and it is
> crucial to stay vigilant and proactive throughout the project.
### Infrastructure as Code:
Provision the necessary resources for your AWS environment using Terraform as an Infrastructure as Code (IaC) tools. This includes setting up EC2 instances, containers, networking components, and storage services using AWS S3 or other similar services.
Provision the necessary resources for your AWS environment using Terraform as
an Infrastructure as Code (IaC) tools. This includes setting up EC2 instances,
containers, networking components, and storage services using AWS S3 or other
similar services.
### Containerize the microservices:
Use Docker to build container images for each microservice. Make sure to optimize the Dockerfile for each service to reduce the image size and build time.
Use Docker to build container images for each microservice. Make sure to
optimize the Dockerfile for each service to reduce the image size and build
time.
> You can use your `play-with-containers` project solution.
### Deployment:
Deploy the containerized microservices on AWS using an orchestration tool like AWS ECS or EKS. Ensure that the services are load-balanced (consider using AWS Elastic Load Balancer) and can communicate with each other securely.
Deploy the containerized microservices on AWS using an orchestration tool like
AWS ECS or EKS. Ensure that the services are load-balanced (consider using AWS
Elastic Load Balancer) and can communicate with each other securely.
> You can use your `orchestrator` project solution.
### Monitoring and logging:
Set up monitoring and logging tools to track the performance and health of your application. Use tools like CloudWatch, Prometheus, Grafana, and ELK stack to visualize metrics and logs.
Set up monitoring and logging tools to track the performance and health of your
application. Use tools like CloudWatch, Prometheus, Grafana, and ELK stack to
visualize metrics and logs.
### Optimization:
Implement auto-scaling policies to handle varying workloads and ensure high availability. Test the application under different load scenarios and adjust the resources accordingly.
Implement auto-scaling policies to handle varying workloads and ensure high
availability. Test the application under different load scenarios and adjust
the resources accordingly.
### Security:
Implement security best practices such as using AWS Certificate Manager for HTTPS, securing API endpoints with Amazon API Gateway, regularly scanning for vulnerabilities with AWS Inspector, and implementing managed authentication for publicly accessible applications with AWS Cognito or similar service. Ensure that the databases and private resources are secure and accessible only from the AWS VPC.
Implement security best practices such as using AWS Certificate Manager for
HTTPS, securing API endpoints with Amazon API Gateway, regularly scanning for
vulnerabilities with AWS Inspector, and implementing managed authentication for
publicly accessible applications with AWS Cognito or similar service. Ensure
that the databases and private resources are secure and accessible only from
the AWS VPC.
### Documentation
Create a `README.md` file that provides comprehensive documentation for your architecture, which must include well-structured diagrams, thorough descriptions of components, and an explanation of your design decisions, presented in a clear and concise manner. Make sure it contains all the necessary information about the solution (prerequisites, setup, configuration, usage, ...). This file must be submitted as part of the solution for the project.
Create a `README.md` file that provides comprehensive documentation for your
architecture, which must include well-structured diagrams, thorough
descriptions of components, and an explanation of your design decisions,
presented in a clear and concise manner. Make sure it contains all the
necessary information about the solution (prerequisites, setup, configuration,
usage, ...). This file must be submitted as part of the solution for the
project.
### Bonus
If you complete the mandatory part successfully and you still have free time, you can implement anything that you feel deserves to be a bonus, for example:
If you complete the mandatory part successfully and you still have free time,
you can implement anything that you feel deserves to be a bonus, for example:
- Use `Function as a Service (FaaS)` in your solution.
@ -130,4 +215,5 @@ Upon completing this project, you should submit the following:
- Your documentation in the `README.md` file.
- Source code for the microservices and any scripts used for deployment.
- Configuration files for your Infrastructure as Code (IaC), containerization, and orchestration tools.
- Configuration files for your Infrastructure as Code (IaC), containerization,
nprimo
6 months ago
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