Cloud-native apps are built with scalability in mind, which means they can quickly scale up or down to handle more traffic or workloads by adding additional resources or running more instances of the app.
Cloud-native apps are built with scalability in mind, which means they can quickly scale up or down to handle more traffic or workloads by adding additional resources or running more instances of the app.
DevOps practices, which focus on collaboration and automation among development and operations teams, are a key part of cloud-native development.
Cloud-native development typically relies on cloud-native services such as serverless, managed databases, messaging services, etc.
Cloud-native development is based on the principle of observability, which is the ability of a developer to observe and troubleshoot an application in a distributed, dynamic environment.
Infrastructure as Code (IaC) is a type of cloud-native development where code is used to control infrastructure resources like servers, networks, storage, etc.
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Cloud native development is an approach to building and running applications that leverage cloud computing resources and technologies. It involves designing applications to be scalable, resilient, and flexible, using cloud-native principles such as microservices, containers, and serverless computing.
Benefits of cloud native development include increased scalability, agility, cost-effectiveness, faster time-to-market, improved reliability and resilience, and the ability to leverage managed cloud services for tasks like authentication, data storage, and monitoring.
Common technologies used in cloud native development include containerization platforms like Docker and Kubernetes, serverless computing services such as AWS Lambda and Google Cloud Functions, cloud-native databases like Amazon DynamoDB and Google Cloud Spanner, and continuous integration and continuous delivery (CI/CD) tools.
Cloud native development differs from traditional development approaches by emphasizing scalability, agility, and flexibility. It involves designing applications as a collection of loosely coupled microservices that can be independently developed, deployed, and scaled, whereas traditional approaches often rely on monolithic architectures.
Best practices for cloud native development include designing applications as loosely coupled microservices, embracing containerization and orchestration tools like Docker and Kubernetes, implementing automation for deployment and scaling, ensuring observability through logging and monitoring, and leveraging managed cloud services to offload operational tasks.