Serverless Application DevOps: Latest Practices and Implementation Guide

Sun Hua, an AWS serverless product specialist, introduces serverless computing as a way to run code without managing servers, highlighting automatic scaling, pay‑per‑use billing, high availability across availability zones, and cost savings for workloads with variable traffic.

Typical serverless use cases include IT automation (e.g., automatically stopping and starting development environments), data processing (e.g., image thumbnail generation, IoT data streams), microservice back‑ends for web or mobile apps, and machine‑learning inference.

The development process is simple: write code, package it as a Lambda function, and configure an event source that triggers the function. For web applications, API Gateway can expose HTTP endpoints, and familiar web frameworks (e.g., Express.js) can be used inside Lambda.

AWS now supports packaging Lambda functions as container images, allowing up to 10 GB images and leveraging familiar Docker tooling. An example Dockerfile shows using the public Node.js v12 base image, copying code and dependencies, installing packages, and defining the handler.

To automate deployment, the Amazon Serverless Application Model (SAM) extends CloudFormation with serverless‑specific resources (functions, APIs, tables). SAM templates enable multi‑account, multi‑environment pipelines, and can be integrated with CI/CD systems such as Jenkins, GitLab CI/CD, or GitHub Actions via pre‑built pipeline templates.

Secure deployment is achieved by using Lambda aliases and traffic shifting (e.g., routing 10 % of traffic to a new version, monitoring metrics, and rolling back if issues arise). Fine‑grained IAM permissions and cross‑account roles further enhance security.

Monitoring is provided by Lambda Insights, logs, and distributed tracing, while Lambda extensions allow third‑party monitoring tools to collect custom metrics. The Lambda Adapter enables running arbitrary web applications without code changes, and CodeGuru can profile CPU usage and suggest performance improvements.

A real‑world case study describes how Coca‑Cola built a serverless vending‑machine control system that processes a user’s mobile request and dispenses a drink within one second, completing design, development, deployment, and global rollout in just 100 days.

The talk concludes that serverless computing offers rapid development, low cost, high performance, and scalability, encouraging developers to adopt these AWS services for their applications.