1. Spring and Java
1.Spring和Java
>> Why Namespacing Matters in Public Open Source Repositories [blog.sonatype.com]
>> 为什么在公共开源库中命名很重要 [blog.sonatype.com]
Simple and yet effective coordinates – preventing dependency confusion attacks using groupId, artifactId, and version!
简单而又有效的坐标–防止使用groupId、artifactId和版本的依赖性混淆攻击
>> From Monolith to Microservices – Migrating a Persistence Layer [thorben-janssen.com]
>> 从单体到微服务 – 迁移持久层 [thorben-janssen.com]
Breaking the monolith – how to introduce or merge microservices with data boundaries in mind!
打破单体–如何在考虑到数据边界的情况下引入或合并微服务!
>> Testing Quarkus Web Applications: Component & Integration Tests [infoq.com]
>> 测试Quarkus Web应用程序。组件& 集成测试 [infoq.com]
Testing different aspects of a Quarkus application: API layer, persistence layer, components, and native image!
测试Quarkus应用程序的不同方面。API层、持久层、组件和本地图像！。
Also worth reading:
- >> Deciphering the stack trace [inside.java]
- >> Reducing MD5 (and SHA) overheads [cl4es.github.io]
- >> Making the most of available resources for Spring Boot [spring.io]
- >> Distribution of JVM desktop applications [blog.frankel.ch]
- >> GraalVM inside Oracle Database [infoq.com]
- >> Java AWS Lambda Container Image Support [rieckpil.de]
- >> Hibernate Query Spaces – Optimizing Flush and Cache Operations [thorben-janssen.com]
Webinars and presentations:
网络研讨会和演讲：。
- >> Episode 12 “jpackage” with Kevin Rushforth [inside.java]
- >> A Bootiful Podcast: Doordash tech lead manager Zohaib Sibte Hassan on Spring Boot, Kotlin, GRPC, and more [spring.io]
Time to upgrade:
升级的时间：。
- >> Spring Framework 5.3.4 and 5.2.13 available now [spring.io]
- >> Spring Vault 2.3.1 available [spring.io]
- >> Spring Authorization Server 0.1.0 available now [spring.io]
- >> Spring Security 5.4.4, 5.3.8, and 5.2.9 released [spring.io]
- >> Spring Cloud Hoxton.SR10 has been released [spring.io]
2. Technical
2.技术
>> Simulating Latency with SQL / JDBC [blog.jooq.org]
>> Simulating Latency with SQL / JDBC [blog.jooq.org]
Evaluating different approaches to simulate and inject latency into query executions!
评估不同的方法来模拟和注入查询执行的延迟！。
Also worth reading:
还值得一读的是：。
- >> Building a Rule-Based Platform to Manage Netflix Membership SKUs at Scale [netflixtechblog.com]
- >> Painless Code Formatting with EditorConfig [reflectoring.io]
3. Musings
3.思索
>> Chaos Engineering, Explained [tanzu.vmware.com]
>> 混沌工程，解释 [tanzu.vmware.com]
Building resilient systems – injecting faults into system components to assure reliability!
构建有弹性的系统–将故障注入系统组件以确保可靠性！。
Also worth reading:
还值得一读的是：。
- >> Hawkins: Diving into the Reasoning Behind our Design System [netflixtechblog.com]
4. Comics
4.漫画
And my favorite Dilberts of the week:
还有本周我最喜欢的Dilberts。
>> Gaming The System [dilbert.com]
>> Gaming The System [dilbert.com]
>> Internal Audit [dilbert.com]
>> 内部审计 [dilbert.com]
>> Sarcasm Or Stupidity [dilbert.com]
>> 讽刺还是愚蠢 [dilbert.com]
5. Pick of the Week
5 本周精选
This week, we’re having a look the what Datastax has built on top of the already highly used Cassandra database.
本周，我们来看看Datastax在已经高度使用的Cassandra数据库基础上建立了什么。
Cassandra has been out for a while, and it’s what powers sites with crazy scale – the Facebooks and the Netflixes of the world. If you need scalability and basically no-downtime, you’re definitely looking at Cassandra.
Cassandra已经问世一段时间了，它为那些规模巨大的网站提供动力–世界上的Facebook和Netflixes。如果你需要可扩展性和基本上没有停机时间，你肯定会关注Cassandra。
But, the dev story with it can be slow – you couldn’t really prototype quickly with Cassandra. That’s all different now, with the three APIs built on top of the open-source Cassandra – REST, GraphQL, and JSON/Document APIs:
但是，它的开发故事可能会很慢–你无法真正用Cassandra快速建立原型。现在这一切都不同了，在开源的Cassandra之上建立了三个API–REST、GraphQL和JSON/Document API。
Oh, and not having the need to operate and scale-out the cluster using the DataStax cloud is pretty cool.
哦，而且不需要使用DataStax云来操作和扩展集群是非常棒的。
Definitely use their monthly free credits to explore the system.
一定要使用他们每月的免费点数来探索这个系统。
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