Cloud deployment overview (AWS, Azure) in Spring Boot - Step-by-Step Execution

Concept Flow - Cloud deployment overview (AWS, Azure)

Start: Prepare Spring Boot App

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Package app as JAR/WAR

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Choose Cloud Provider

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AWS Deployment

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Upload to AWS

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Configure AWS

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Deploy & Run

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App Running in Cloud

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Monitor & Scale

This flow shows the steps to deploy a Spring Boot app to AWS or Azure, from packaging to running and monitoring.

Execution Sample

Spring Boot

1. mvn clean package
2. aws deploy create-application --application-name MyApp
3. aws deploy create-deployment --application-name MyApp --s3-location bucket=myapp.jar
4. Monitor deployment status
5. Access app URL

This sample shows packaging a Spring Boot app and deploying it to AWS using CLI commands.

Execution Table

Step	Action	Tool/Service	Result
1	Package Spring Boot app	Maven	Generates myapp.jar
2	Create AWS application	AWS CLI	Application 'MyApp' created
3	Upload app to S3 and create deployment	AWS CLI & S3	Deployment started with myapp.jar
4	Monitor deployment	AWS Console/CLI	Deployment status: In Progress -> Succeeded
5	Access app	Browser	App running at AWS URL
6	Scale app if needed	AWS Console	App scales based on load
7	End	-	Deployment complete and app running

💡 Deployment completes when app is running and monitored successfully.

Variable Tracker

Variable	Start	After Step 1	After Step 3	After Step 4	Final
app_package	none	myapp.jar	myapp.jar uploaded	deployment active	app running
deployment_status	none	none	started	succeeded	running
cloud_provider	none	AWS selected	AWS selected	AWS selected	AWS selected

Key Moments - 3 Insights

Why do we package the Spring Boot app before deployment?

Packaging creates a runnable file (JAR/WAR) that the cloud service can deploy, as shown in Step 1 of the execution_table.

What happens if deployment status is not 'Succeeded'?

The app is not running yet; you must check logs and fix issues before proceeding, as seen in Step 4.

How does scaling work after deployment?

Scaling adjusts resources based on load automatically or manually, explained in Step 6.

Visual Quiz - 3 Questions

Look at the execution_table, what is the deployment_status after Step 3?

A started

B none

C succeeded

D running

💡 Hint

Check the 'deployment_status' row in variable_tracker after Step 3.

At which step does the app become accessible via URL?

A Step 2

B Step 3

C Step 5

D Step 6

💡 Hint

Look at the 'Result' column in execution_table for when the app is running.

If you choose Azure instead of AWS, which step changes in the flow?

A Packaging the app

B Uploading and configuring deployment

C Monitoring the app

D Accessing the app URL

💡 Hint

Refer to concept_flow where AWS and Azure branches differ after choosing provider.

Concept Snapshot

Cloud Deployment Overview (AWS, Azure):
1. Package Spring Boot app as JAR/WAR.
2. Choose cloud provider (AWS or Azure).
3. Upload app to cloud storage and create deployment.
4. Monitor deployment status until running.
5. Access app via cloud URL and scale as needed.

Full Transcript

This visual execution shows how to deploy a Spring Boot application to cloud providers AWS or Azure. First, the app is packaged into a JAR file using Maven. Then, you select a cloud provider. For AWS, you create an application and deployment using AWS CLI and upload the JAR to S3 storage. You monitor the deployment status until it succeeds. Once running, you access the app via its cloud URL. Scaling can be done based on load. The variable tracker shows the app package and deployment status changing step by step. Key moments clarify why packaging is needed, what deployment status means, and how scaling works. The quiz tests understanding of deployment status, app accessibility, and provider differences.