Here we go…
1. Spring and Java
>> Monitor and troubleshoot Java applications and services with Datadog Sponsored
Optimize performance with end-to-end tracing and out-of-the-box support for popular Java frameworks, application servers, and databases.
>> Java Is Still Free [javaspecialists.eu]
This write-up might help alleviate any fear, uncertainty, and doubt you may have about sticking with Java. And, a solid read on the topic, over on InfoQ.
>> Java 11 String API Updates [4comprehension.com]
A quick look at the new String methods that are coming soon in JDK 11.
>> Introducing Spring Data JDBC [spring.io]
Nice overview of this Spring Data module that fills a need for those who don’t want to submit to the complexities of JPA.
>> Bootiful GCP: To Production! (8/8) [spring.io]
And, as this series comes to an end, we learn how to secure a Spring Cloud GCP application in production.
Also worth reading:
>> Using Hibernate ORM with JDK 11 [in.relation.to]
>> The Ultimate Guide to the Java Stream API groupingBy() Collector [4comprehension.com]
>> Practical Guide to Building an API Back End with Spring Boot [infoq.com]
>> Java Subtlety with Arrays of Primitives and Variable Arguments [marxsoftware.blogspot.com]
>> Hibernate performance tuning tips [vladmihalcea.com]
>> Testing a Spring Message Producer and Consumer against a Contract with Pact [reflectoring.io]
>> MicroProfile JSON Web Token (JWT) [tomitribe.com]
>> Simplify integration testing of legacy application with Spock 1.2 [solidsoft.wordpress.com]
Time to upgrade:
>> Spring Boot 2.0.5 [spring.io]
>> Spring IO Platform Brussels SR13 [spring.io] and >> Spring IO Platform Cairo SR4 [spring.io]
>> Triple bugfix release for Hibernate Search (5.10, 5.9, 5.6) [in.relation.to]
>> Pivotal Releases Spring Cloud Data Version 1.6 Featuring a New App Hosting Tool [infoq.com]
2. Technical and Musings
>> Learning from Pain [benjiweber.co.uk]
The pain points experienced while building software can actually provide a valuable feedback loop that helps us write better software.
>> Streaming Video Experimentation at Netflix: Visualizing Practical and Statistical Significance [medium.com]
An interesting write-up on how Netflix uses quantile functions to measure Quality of Experience.
Also worth reading:
>> Thorntail 2.2.0 Features Automated Migration from WildFly Swarm [infoq.com]
>> Testing Ansible Provisioning Locally [hamvocke.com]
>> Multi-Cloud Is a Trap [bravenewgeek.com]
>> How to run a Futurespective [lizkeogh.com]
>> Value Prop Workshop: A “State Matrix Audit” [daedtech.com]
3. Comics
And my favorite Dilberts of the week: