Social logins using Oauth2 have become a industry standard. It has revolutionized the way sites share data and has allowed users to quickly access new applications without having to create a new set of credentials. This article gives an example of why OAuth2 was invented and provides a working example of a Spring Security 5 application integrated with Google.
AWS SQS (Simple Queue Service) can provide developers with flexibility and scalability when building microservice application(s). In this quick start tutorial, we will demonstrate how to configure a FIFO queue for a fictional online marketplace.
What Is A FIFO Queue?
A FIFO (first in, first out) queue is used when the order of items or events is critical, or where duplicates items in the queue are not permitted. For example:
– Prevent a user from buying an item that isn’t available on a marketplace.
Has your project gotten to the point when big data sets and/or time-consuming calculations have begun to affect performance? Or are you struggling to optimize your queries and need to cache some information to avoid continually hitting your database? Then caching could be your solution.
For this article, I will demonstrate how to utilize Amazon ElastiCache for Redis to speed up areas of your application. The example application we will build uses Spring Boot 2.x and is available on Github.
I recently worked to develop a software platform that relied on Spring Boot and Docker to prop up an API. Being the only developer on the project, I needed to find a way to quickly and efficiently deploy new releases. However, I found many solutions overwhelming to set up.
That was until I discovered AWS has tools that allow any developer to quickly build and deploy their application.
In this 30 minute tutorial, you will discover how to utilize the following technologies:
– AWS CodeCommit – source control (git)
– AWS Code Build – source code compiler, rest runner
– AWS Codepipeline – builds, tests, and deploys code every time the repo changes
-AWS Elastic Beanstalk – service to manage EC2 instances handling deployments, provisioning, load balancing, and health monitoring
-Docker + Spring Boot – Our containerized Spring Boot application for the demo
Once finished, you will have a Docker application running that automatically builds your software on commit, and deploys it to the Elastic beanstalk sitting behind a load balancer for scalability. This continuous integration pipeline will allow you to worry less about your deployments and get back to focusing on feature development within your application.
Attention: The following article was published over 6 years ago, and the information provided may be aged or outdated. Please keep that in mind as you read the post.Developing a large BackboneJS application presents a unique design problem. As developers, we like to organize our code so it is understandable, logical, and predictable. However, doing so can cause performance issues on …