Cloud Native Architecture

Cloud native is a term used to describe applications or services that are designed to take advantage of cloud computing technologies. This includes an architectural style that incorporates technologies such as containers, microservices, and serverless computing. Cloud native applications are designed to be highly scalable, resilient, and cost-effective. These apps are built on cloud-native principles and practices such as DevOps, continuous integration/continuous delivery (CI/CD), and Infrastructure-as-Code (IaC).

Cloud Native Principles and Practices
Cloud native computing is a term used to describe an approach to designing, developing, and deploying applications that are capable of leveraging the scalability and cost-effectiveness of cloud computing. It involves taking advantage of the distributed nature of the cloud to create applications that can scale out to meet demand and leverage the cost savings of pay-as-you-go pricing models.

The key principles behind cloud native computing include:

1. Automation: The use of automation for workflow management, resource provisioning, monitoring, and deployment. This helps ensure that applications are deployed quickly and reliably, without manual intervention.
2. Scalability: The ability to scale up or down quickly as demand changes. This helps ensure that applications can handle sudden spikes in usage or respond quickly to changes
3. Microservices: The use of small, independent services that can be deployed independently and communicate with each other via APIs. This helps ensure that applications can be easily maintained and updated without disrupting other services.
4. Containerization: The use of containers to package up applications, making them easier to deploy and manage across multiple environments.
5. Security: The implementation of security measures throughout the entire application stack to ensure the safety of data and resources.
6. Monitoring: The use of metrics and logging to provide visibility into application performance and errors. This helps ensure that applications are running as expected, and helps diagnose issues quickly..

The practices associated with cloud native computing include:

1. Continuous Integration and Delivery (CI/CD): The use of automation to package, deploy, and manage applications across multiple environments. This helps ensure that applications are released quickly and reliably.
2. Infrastructure as Code (IaC): The use of code to describe, provision, and manage infrastructure components. This helps ensure that infrastructure can be changed quickly and reliably without manual intervention.
3. Cloud-Native Tooling: The use of cloud-native tools such as Kubernetes, Docker, and Terraform to package, deploy, and manage applications in the cloud. This helps ensure that applications are optimized for the cloud environment.4. Automated Testing: The use of automated tests to ensure that applications are functioning correctly. This helps reduce the risk of introducing bugs into production environments.
4. Containers and Microservices: The use of containers and microservices to package and run applications in the cloud. This helps improve scalability, availability, and performance.
5. Monitoring and Logging: The use of monitoring and logging tools to keep track of application performance, usage, and errors. This helps ensure that applications are running smoothly and efficiently.