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Deploying Applications on AWS

via DataCamp

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Details

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Provider

DataCamp
Pricing

Free Trial Available
Languages

English
Certificate

Certificate Available
Effort

3 hours
Sessions

Self-Paced
Level

Intermediate

Found in

Overview

You've written the code; now learn to ship it.

You've written the code; now learn to ship it. This course teaches you how to deploy, secure, and operate applications on AWS the way production teams do. Build decoupled architectures with API Gateway, Lambda, SQS, SNS, and EventBridge; lock them down with Amazon Cognito, IAM, and encryption; then keep them healthy with CloudWatch, X-Ray, and cost-and-performance tuning. Through interactive simulators and hands-on AWS console exercises, you'll practice the real deployment skills tested in the AWS Certified Developer - Associate (DVA-C02) exam and used every day to run reliable cloud applications.

Syllabus

Building Applications for AWS Deployment

Learn how to design applications that fit AWS's deployment model. By the end of this chapter, you will be able to pick architectural patterns that work in the cloud, build APIs with Amazon API Gateway request and response transformations and validation, and wire event-driven workflows with Amazon EventBridge, Amazon SQS, Amazon SNS, and Amazon Kinesis Data Streams.

Configuring and Securing Deployed Applications

Learn how to configure AWS Lambda for production and secure the applications you deploy. By the end of this chapter, you will be able to tune Lambda memory, timeout, concurrency, layers, and VPC access, authenticate end users with Amazon Cognito, authorize service-to-service calls with IAM roles, and manage encryption and certificates with AWS KMS, AWS Certificate Manager, and AWS Private CA.

Observing and Optimizing Deployed Applications

Learn how to operate an application once it is deployed. By the end of this chapter, you will be able to emit logs, custom metrics, and traces, query CloudWatch Logs Insights to find errors, trace requests across services with AWS X-Ray, troubleshoot common failures, and tune performance with concurrency settings, caching, and resource right-sizing.