1. Spring and Java
>> The best way to map MonetaryAmount with JPA and Hibernate [vladmihalcea.com]
We know that we shouldn’t use float/doubles for monetary values – let’s have a closer look at the right way to handle money.
>> GraalVM Enterprise 22.2—Lower memory, smaller downloads, simpler library usage [blogs.oracle.com]
A new version of GraalVM Enterprise includes Apple M1 support, reduced memory footprint, and better third-party integration.
Also worth reading:
- >> JavaOne Update Series: Part 2 [blogs.oracle.com]
Webinars and presentations:
- >> A Bootiful Podcast: Spring Cloud and Spring Cloud Kubernetes contributor Ryan Baxter [spring.io]
- >> How Amber is Driving Java’s Evolution [inside.java]
- >> Clean Application Development with Records, Sealed Classes and Pattern Matching [inside.java]
Time to upgrade:
- >> IntelliJ IDEA 2022.2 Is Out! [blog.jetbrains.com]
- >> Spring Boot 2.7.2 and 3.0.0-M4 available now [spring.io]
- >> Spring for GraphQL 1.0.1 released [spring.io]
- >> Netflix Conductor v3.10.1 [github.com/Netflix]
- >> Quarkus 2.10.3.Final released – Fixes CVE-2022-2466 [quarkus.io]
- >> Spring Shell 2.1.0 is now available [spring.io]
2. Technical & Musings
>> Discussing Backend For Front-end [blog.frankel.ch]
How to effectively handle different client data requirements by using a dedicated backend for frontends!
>> Formulating ‘Out of Memory Kill’ Prediction on the Netflix App as a Machine Learning Problem [netflixtechblog.com]
Useful insights on how the Netflix team analyzes and predicts “out of memory” or OOM kills on the Netflix App.
Also worth reading:
- >> Getting Started with AWS Step Functions [reflectoring.io]
- >> The Challenges of IoT, TLS, and Random Number Generators in the Real World [queue.acm.org]
- >> How to use RDS as a Data Source for AppSync [advancedweb.hu]
3. Comics
And my favorite Dilberts of the week:
>> Long Covid Support Group [dilbert.com]
>> Bigoted Idiot Applicant [dilbert.com]
>> Eat Our Own Dog Food [dilbert.com]
4. Pick of the Week
Finally, some very interesting DDD examples here:
>> Domain-Driven Design examples repo [github.com]