An effective guide to building and securing micro-services in AWS
There are a lot of options when choosing the right platforms and services for building and securing your micro-services, some of the following come to mind:
Amazon Web Services (AWS): AWS offers a range of services for building and deploying microservices, including EC2, ECS, and Lambda.
Microsoft Azure: Azure provides a complete platform for building and deploying microservices, including services like Azure Functions, Azure Container Instances, and Azure Service Fabric.
Google Cloud Platform (GCP): GCP offers a suite of services for building and deploying microservices, including Google App Engine, Google Kubernetes Engine, and Google Cloud Functions.
Heroku: Heroku is a cloud-based platform for building, deploying, and running microservices. It provides an easy-to-use platform for building and deploying applications, and it supports a variety of programming languages and frameworks.
These platforms and services offer a range of features and capabilities, so it's important to choose one that aligns with your specific needs and requirements. It is also important to consider factors such as scalability, security, and cost when choosing a platform or service for building server-side microservices; In this post I will be going over getting things setup and secured with aws.
- Step one is to define the microservices architecture: Decide the functionalities that each microservice will provide and how they will interact with each other.
- Choose the AWS services: AWS offers a range of services for building microservices, such as Amazon EC2, Amazon ECS, AWS Lambda, and Amazon API Gateway. Choose the services that best fit your requirements and architecture.
- Package and deploy microservices: Package your microservices as containers or serverless functions and deploy them on the chosen AWS services.
- Connect microservices: Connect microservices using APIs and communication mechanisms, such as Amazon SNS, Amazon SQS, or Amazon VPC Endpoints.
- Monitor and test microservices: Use Amazon CloudWatch, Amazon CloudTrail, and other AWS tools to monitor the performance and health of your microservices. Test your microservices regularly to ensure they are working as expected.
- Scale microservices: As your system grows, use the built-in scalability features of the AWS services you are using to automatically scale your microservices.
- Maintain and update microservices: Keep your microservices up-to-date with security patches, bug fixes, and new features. Regularly review your microservices architecture and make changes as necessary.
These steps provide a general guideline for building microservices in AWS. The exact implementation will depend on your specific requirements and architecture, so it is important to carefully consider your needs and plan your implementation accordingly.
A good way to set this all up is using CDK, a cloud-agnostic software development framework to define cloud infrastructure as code and provision it through AWS CloudFormation.
- AWS CDK supports multiple programming languages including TypeScript, Python, Java, and C#, making it a cloud-agnostic solution. This allows you to use the same tools and techniques you already use for other parts of your application, regardless of the cloud platform you are using.
- Infrastructure as Code: With the AWS CDK, you define your microservices infrastructure as code, making it easy to version control and automate the deployment of your services. This also helps to reduce the risk of human error when provisioning infrastructure.
- Higher Abstraction Level: The AWS CDK provides a higher level of abstraction than traditional AWS CloudFormation templates, allowing you to define your infrastructure in terms of high-level constructs, such as AWS Lambda functions, Amazon S3 buckets, and Amazon API Gateway APIs.
- Faster Development and Deployment: With the AWS CDK, you can create, deploy, and update your microservices faster than with traditional AWS CloudFormation templates. This is because the AWS CDK takes care of many of the underlying details and allows you to focus on building and deploying your microservices.
- Improved Collaboration and Sharing: With the AWS CDK, you can share and reuse infrastructure components across multiple teams, projects, and applications. This makes it easier for teams to collaborate and ensures that everyone is using the same infrastructure components.
In conclusion, the AWS CDK is a great choice for building microservices in AWS because it is cloud-agnostic, provides infrastructure as code, has a higher level of abstraction, speeds up development and deployment, and improves collaboration and sharing. By using the AWS CDK, you can simplify the process of building, deploying, and maintaining microservices in AWS.