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🔧 Dev Tools:
IntelliJ IDEA Ultimate: https://www.jetbrains.com/idea/download/
Docker: https://www.docker.com/get-started
LocalStack: https://localstack.cloud/
AWS CLI: https://aws.amazon.com/cli/
Git Bash (Windows): https://git-scm.com/downloads
Spring Boot Docs: https://spring.io/projects/spring-boot

Chapters

00:00:00 00.intro
00:03:36 1.dev-setup
00:12:41 2.spring-boot-arch
00:18:13 3.project-setup
00:28:36 4.model-mem-db-setup
00:50:16 4a.data-setup
00:54:38 5.repo
00:57:54 6.service
01:13:29 7.patient-controller-get-and-test
01:23:17 8.create-patient-service-request-dto
01:34:14 9.create-patient-controller-and-test
01:42:50 10.request-validation-handler
01:49:11 11.error-handling-request-business-logic-custom-exception
02:01:56 12.update-endpoint
02:14:34 13.update-endpoint-validation
02:28:14 14.update-email-validation
02:32:52 15.delete-patient
02:38:48 16.open-api-docs
02:49:32 17.intro-to-docker
02:54:40 18.patient-service-db-setup
03:06:55 19.patient-service-docker-setup
03:21:46 20.test-and-fix-db
03:28:51 21.intro-grpc
03:33:02 22.billing-service-setup-proto-file
03:45:46 23.generating-grpc-protobuf-code
03:49:29 24.implementing-grpc-server-in-billing-service
04:00:50 25.grpc-server-request
04:10:01 26.dockerise-billing-service
04:17:23 27.add-grpc-client-to-patient-service
04:24:17 28.patient-service-implement-grpc-client
04:35:39 29.call-grpc-from-create-patient-logic
04:43:43 30.kafka-intro
04:50:15 31.setup-kafka-broker-server
05:03:53 32.patient-service-kafka-deps-producer-class
05:09:30 33.define-kafka-patient-event-proto-file
05:15:33 34.create-and-call-kafka-producer
05:24:49 35.kafka-patient-service-config
05:27:44 36.kafka-patient-service-producer-test
05:33:12 37.create-anlytics-service-and-proto-files
05:42:02 38.kafka-consumer-analytics-service
05:51:31 39.dockerise-analytics-service
05:57:32 40.kafka-analytics-service-config-and-test
06:02:30 41.intro-to-api-gateway
06:08:11 42.api-gateway-setup-and-rules
06:17:43 43.api-gateway-docker--and-fix-and-test
06:27:13 44.intro-to-auth
06:29:43 45.auth-service-db-setup-and-connect
06:37:46 46.auth-service-model-data-sql-file
06:49:06 47.auth-service-dockerfile-run-deploy-seed-db
06:56:39 48.create-loginresponsedto-and-loginrequestdto
07:02:58 49.authcontroller-login-method
07:08:43 50.user-service-user-repository
07:17:47 51.auth-service-password-encoder-spring-security
07:28:01 52.user-service-jwtilt-generateToken
07:36:37 53.test-login-endpoint
07:45:37 54.validate-token-endpoint
07:51:21 55.validate-token-logic
07:56:31 56.validate-token-testing
08:01:11 57.integrate-auth-service-with-api-gateway
08:12:07 58.create-jwt-validation-filter-and-process-request
08:24:59 59.apply-filter-to-application-yml
08:27:34 60.api-gateway-get-patients-test-and-exception-handling
08:40:26 61.auth-service-docs-via-gateway
08:45:49 62.intro-to-testing
08:49:33 63.integration-test-project-setup
08:55:38 64.login-integration-test
09:09:35 65.login-integration-test-unauth-test
09:13:50 66.get-patient-integration-test
09:23:39 67.intro-to-aws
09:39:58 68.setup-local-stack
09:46:36 68a.setup-aws-cli
09:51:35 69.intro-to-iac-cloudformation
09:54:30 70.infrastructure-project-setup
09:57:42 71.creating-first-stack
10:06:01 72.create-vpc
10:12:12 73.create-dbs
10:21:22 74.create-db-health-check
10:26:20 75.create-msk-cluster
10:33:42 76.create-ecs-cluster
10:38:57 77.create-ecs-services
11:13:18 78.create-load-balanced-application-gateway
11:24:47 79.preparing-docker-images
11:37:47 80.deploy-to-localstack
11:51:25 81.test-deployment
11:58:48 82.delete-stack-and-troubleshoot
12:01:12 83.outtro

YouTube

This course provides a hands-on experience in building an enterprise-level patient management system using Java Spring Boot and Docker. It covers essential aspects such as microservices architecture, API gateways, load balancing, REST and gRPC for communication, user authentication, and deployment using AWS. Each module builds incrementally, offering a comprehensive understanding of these technologies. Basic knowledge in Java, Spring Boot, REST APIs, databases, and Docker is recommended.

Build & Deploy a Production-Ready Patient Management System with Microservices: Java Spring Boot AWS