Spring Cloud AWS Parameter Store Integration Plus Optional JASYPT Encrypted Properties
In this article I demonstrate how to use the AWS Parameter Store to decouple and externalize configuration for a Spring Boot application.
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In this article I demonstrate how to use the AWS Parameter Store to decouple and externalize configuration for a Spring Boot application.
In this article I review the concepts of Command Query Responsibility Segregation (CQRS) emphasizing the value and flexibility that this software architecture provides through indpendentent optimization of writing and reading data access patterns.
In this article I demonstrate how one can deploy a Spring Boot app the AWS Cloud with ECS and Fargate then used the Spring Boot Actuator project along with CloudWatch and AWS Lambda to modify runtime configuration in an event driven automated fashion.
In this article I present a walk through of the connonical Todos REST API which utilizes AWS DynamoDB to store todos and exposes Create, Read, Update, and Delete (CRUD) interfaces to manage todos implemented with MuleSoft's Anypoint Platform. DynamoDB is a fully managed No SQL document database provided by AWS with millisecond latency at any scale with proper data modeling. MuleSoft is the complete platform for integration and APIs.
This article presents an example of using AWS Cloud Development Kit (CDK) to deploy an AWS Cognito User Pool as an Identity Provider for authenticating a Spring Security enabled Spring Boot REST API.
In this article I demonstrate a Cloud Architecture pattern for distributing content stored in S3 but fronted by AWS CloudFront and accessed through signed URLs viable for a specified amount of time.
A collection of OAuth 2.0 and Open ID Connect (OIDC) terms and concepts I refer back to often.
In this article I capture a plethora of Kafka CLI commands that I've found useful. It is my goal to capture them here to serve as a cheatsheet of commands for myself and others to draw from.
In this article I discuss the benefits of architecting observability into your AWS Aurora PostgreSQL deployments through the use of CloudWatch Logs, Metric Filters, and Alarms.
In this article I present a demonstration of how one can use Cloud Watch Metrics and Alarms to monitor CPU Utilization for an AWS RDS database consisting of a primary read/write instance and a read-only replica.