1. Spring and Java
1.Spring和Java
>> HTTP headers forwarding in microservices [frankel.ch]
>> Tracing Spring Integration Flow with Spring Cloud Sleuth [java-allandsundry.com]
Doing a proper microservice implementation is tough – no two ways about it. There are certainly new challenges but also a new class of tools meant to help with these challenges.
做一个适当的微服务实现是很困难的–这没有什么两样。当然有新的挑战，但也有一类新的工具，旨在帮助应对这些挑战。
Here are two interesting writeups about one of these tools – Spring Cloud Sleuth – and about tracing an HTTP request across multiple services.
这里有两篇关于这些工具之一的有趣文章–Spring Cloud Sleuth–以及关于跨多个服务追踪HTTP请求。
>> JUnit 5 State Of The Union [sitepoint.com]
A good high level look at JUnit 5 right now, a year and a couple of months into development.
一个很好的高水平的现在看JUnit 5，开发了一年零几个月。
>> 6 Hibernate features that I’m missing in JPA [thoughts-on-java.org]
Hibernate has been on a roll lately, and JPA is lagging behind even more so than usual. Here’s a list of solid features that should hopefully make it into the next version of JPA.
Hibernate最近大放异彩，而JPA则比以往更加落后。以下是一份可靠的功能列表，希望能将其纳入下一版本的JPA。
>> The best way to implement equals, hashCode, and toString with JPA and Hibernate [vladmihalcea.com]
An interesting discussing focused on the fundamental.
一个有趣的讨论集中在根本上。
Also worth reading:
还值得一读的是：。
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>> Proposed Consolidation of JDK 10 OpenJDK Mercurial Repositories [infoq.com]
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>> Hibernate Tips: How to define schema and table names [thoughts-on-java.org]
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>>Application ‘Micro Company’ [idugalic.github.io]
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>> Memory efficient hashset implementation for java [intelligentjava.com]
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>> The Curse of Project Jigsaw: Why is Java 9 Delayed Over and Over Again? [takipi.com]
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>> Combining Spring Boot and JDBI [sitepoint.com]
Webinars and presentations:
网络研讨会和演讲：。
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>> An Authentication and Authorization Architecture for a Microservices World [infoq.com]
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>> The Journey to Becoming Cloud Native – A Three Step Path to Modernizing Applications [infoq.com]
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>> Publish, Secure, and Monitor APIs with Cloud Foundry Route Services [infoq.com]
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>> Lessons Learned from Migrating Legacy Enterprise Applications to Microservices [infoq.com]
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>> Large-Scale Enterprise Platform Transformation with Microservices, DevOps, and PaaS [infoq.com]
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>> “High Performance Java EE” from HighLoad Conf [adam-bien.com]
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>> Spring Tips: The Kotlin Programming language [spring.io]
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>> Webinar: Bootiful CQRS with Axon – Nov 16 [spring.io]
Time to upgrade:
升级的时间：。
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>> Spring Cloud Camden SR1 is available [spring.io]
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>> IntelliJ IDEA 2016.3 Public Preview [jetbrains.com]
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>> Spring LDAP 2.2.0 Released [spring.io]
2. Technical
2.技术
>> Message Processing Styles [tbray.org]
A quick look at processing JSON data in real-world systems, where things aren’t as neat and tidy as we’d like them to be, and pretty much anything could come over the wire.
快速浏览一下在真实世界的系统中处理JSON数据，那里的事情并不像我们希望的那样整齐划一，而且几乎所有的东西都可以通过电线来实现。
>> A service framework for operation-based CRDTs [krasserm.github.io]
If you’re way into Event Sourcing and CQRS, than this will make a good read, for both practical takeaways but also for cross-pollination of architectural ideas.
如果你正在研究事件采购和CQRS，那么这将是一本好书，不仅有实用的收获，而且还有架构理念的交叉交流。
Also worth reading:
还值得一读的是：。
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>> Enterprise Craftsmanship [enterprisecraftsmanship.com]
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>> API Design Using Behavior Driven Development [daedtech.com]
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>> Testing@LMAX – Screenshots with Selenium/WebDriver [symphonious.net] and >> Testing@LMAX – Isolate UI Tests with vncserver [symphonious.net]
3. Musings
3.思索
>> Short DNS Record TTL And Centralization Are Serious Risks For The Internet [techblog.bozho.net]
No doubt you heard and probably experienced the massive DDOS attack a few days ago.
毫无疑问，你听说并可能经历了几天前的大规模DDOS攻击。
There are several reports and analysis worth reading online of course, here’s one that actually goes beyond just “what happened”.
当然，网上有几份报告和分析值得一读，这里有一份报告实际上超越了 “发生了什么”。
>> 4 Ways Custom Code Metrics Make a Difference [daedtech.com]
If you’re using static analysis, semi-custom, tunable rules simply need to be used and evolved. Without these, the defaults likely won’t fit the specifics of your codebase and your needs – which generally leads to either lots of false positives, or turning off useful rules entirely.
如果你正在使用静态分析，半定制的、可调整的规则只需要被使用和发展。如果没有这些规则，默认值很可能不适合你的代码库和你的需求的具体情况–这通常会导致大量的误报，或者完全关闭有用的规则。
As a quick take-away, definitely tweak and keep tweaking your static analysis rules, so that they actually make sense for your codebase.
作为一个快速的收获，肯定要调整并继续调整你的静态分析规则，以便它们对你的代码库真正有意义。
Also worth reading:
还值得一读的是：。
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>> Salaries and Job Offerings Categorized by Programming Language [marxsoftware.blogspot.com]
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>> Here’s everything that goes into a massive international speaking trip [troyhunt.com]
4. Comics
4.漫画
And my favorite Dilberts of the week:
还有本周我最喜欢的Dilberts。