The Spring Blog

Speaker: Josh Long

Hi Spring fans! In this tip, we’ll quickly look at how to integrate distributed tracing with Spring Cloud Sleuth and the OpenZipkin project.

Welcome to another installment of This Week in Spring! We’ve got a lot to cover this week so let’s get to it.

• Fred Melo is one of Pivotal’s brightest and when he talks about data, people listen. Here’s your chance to watch his SpringOne Platform talk on data microservices
• The RabbitMQ Team has been busy! The RMQ Java Client has some very nice new (non-breaking) new features in Metrics, logging and Java NIO, among other things.
• Expanding on the metrics support in RMQ Java Client 4.0, the Rabbit team blogs about using JMX, Spring Boot Actuator and Coda Hale’s awesome DropWizard Metrics library.
• I liked this SpringOne Platform talk, from Confluent’s Joe Kutner, I Can’t Believe it’s not a Queue: using Apache Kafka with Spring. It’s a focused look on Apache Kafka, one of the most capable and cloud-native message queues these days - Apache Kafka - with Spring.
• Check out Spring Integration and messaging guru Gary Russell’s SpringOne Platform look at Spring for Apache Kafka
• check out Spring and Spring for Apache Hadoop contributor Thomas Risberg’s look at building big-data pipelines with Spring
• our friend Toshiaki Maki has built a really cool Graphviz visualization of the beans in an application that’s accessible under the /beansviz endpoint.
• Spring Cloud contributor Vinicius Carvalho’s SpringOne Platform talk on evolutionary and resilient microservices is one to watch
• Spring Integration Java DSL lead Artem Bilan just announced Spring for Apache Kafka 1.1.3
• Spring Cloud ninja Marcin Grzejszczak just announced Spring Cloud Camden SR5
• the team behind Spring Tool Suite is cooking up some amazing stuff for Spring Tool Suite 4, and a huge part of that is an extraction of the plugins in STS as language servers that can be used with a variety of other IDEs, including Atom and Microsoft VS Code. As part of the that, the team has just released the Cloud Foundry manifest.yml editor
• Spring IO Platform lead Andy Wilkinson just announced Spring IO Platform Brussels RC1
• not one to rest on his laurels, Andy also just announced Spring IO Platform Athens SR3
• Are you going to be at the fabulous DevNexus event in Atlanta, GA, later this month? The Spring team will be there too!
• seems I missed a good one in January! Check out Muhammad Noor’s post on building reactive based microservices with Spring Cloud and
  Reactor
• Rashidi Zin put together a nice example of using Spring Data to support entity auditing. Very cool Rashidi!
• Bruno Krebs put together a very cool post on building a REST API wiht test-driven development (and Spring Boot, naturally)
• Mario-Leander Reimer’s cloud-native workshop at the OOP17 conference looks pretty darned interesting! I wish I’d been there. For those of us that weren’t, though, there is at least his Git repository.
• Speaking of DevNexus, this oldie-but-a-goodie, Keeping it Clean: Lessons from Open Source and How to Polish, from Spring Boot co-lead Phil Webb is definitely a good watch if you haven’t seen it
• While not, strictly speaking, related to Spring, continuous delivery is the grand unifiying theory behind microservices, agile, TDD, and so many other practices we take for granted today and few people introduce the rationale behind it better than Chris Farley
• This post has little to do with Spring itself but it is a very interesting look at the implications on performance in the JVM that don’t override #hashCode in certain contexts

Speaker: Josh Long

Hi Spring fans! In this tip, we’ll look at how to process large amounts of sequential data using Spring Batch.

Welcome to another installment of This Week in Spring! It’s been a very busy week and we’ve got a lot to cover so let’s get to it!

• first, the big news: Spring Boot 1.5 has just been released! The new release improves the integration with Cloud Foundry, features Spring Data Ingalls support, LDAP support, a loggers endpoint, and Apache Kafka auto-configuration support. Get started with Spring Boot now!
• Spring Data guru March Paluch put together a nice look at Spring Data Ingalls. The new release is packed with lots of great features including a 20-70% performance improvement, event publication for aggregate roots, improved pagination and so much more! Read the post!
• Spring Data lead Oliver Gierke just announced Spring Data Ingalls has gone GA! Hurray! See the release post for more!
• This is a cool SpringOne Platform talk on migrating Spring XD-based applications to Spring Cloud Data Flow
• Rajini Sivaram’s SpringOne Platform talk on Apache Kafka is a good primer
• Nivesh Gopathi gave a nice talk on secure, dynamic configuration with Spring Cloud Vault
• Spring Boot guru Stephane Nicoll just announced Spring Boot 1.4.4 which includes a slew of updates and fixes.
• Spring Data lead Oliver Gierke just announced Spring Data Hopper SR7
• last week I put together a Spring Tip on Spring Data Couchbase.
• going to be at Devoxx US? We on the Spring team will be too! Join us!
• Spring Integration lead Gary Russell just announced Spring Integration 4.3.7
• Spring Boot lead Stephane Nicoll just announced Spring Framework 4.3.6, which is a packed maintenance release
• Spring I/O Platform lead Andy Wilkinson just announced 1.0 of the Dependency Management Plugin
• Google Developer Advocate Ray Tsang just put together a nice post on Spring Boot-based tracing with Google Stackdriver
• speaking of distributed tracing, the Baeldung has a great post on distributed tracing with Spring Cloud Sleuth
• Pivotal’s own Fred Melo has a great post on messaging-patterns for event-driven microservices
• the Stark and Wayne blog has a nice post that demystifies the Cloud Foundry Diego scheduler
• Oliver Wolf put together a nice post describing some of the key features of a cloud platform like Cloud Foundry
• this isn’t strictly Spring related, but I thought it interesting: Java 9 is the end of the road for some features

Speaker: Josh Long

Hi Spring fans! In this tip, we’ll look at the Spring Data Couchbase support in Spring Boot 1.4.

Welcome to another installment of This Week in Spring! As usual, we’ve got a lot to cover so let’s get to it: we’ve got an fresh batch of both new Spring Cloud software from the team and microservice themed S1P 2016 replays from Pieter Humphrey this week, so fasten your seat belt!

• Spring Cloud Data Flow product manager Sabby Anandan put together a great post on the Spring Cloud Data Flow 1.1 release
• Spring Cloud Data Flow for Cloud Foundry lead Eric Bottard just announced the latest release supporting memory optimizations, Maven cache and disk optimizations, improved error handling, and task support.
• Spring Cloud Stream lead Marius Bogoevici just announced Spring Cloud Stream Brooklyn.SR2 and Chelsea.M1
• Spring Integration Java DSL lead and all around great guy Artem Bilan just announced
  Spring Integration Extension for Hazelcast 1.0.0.m2. This release supports leads leadership election, an outbound adapter, cluster monitoring, and so much more.
• Spring Security lead Rob Winch just announced Spring LDAP 2.3.1, which is a quick followup to Spring LDAP 2.3.0 due to an issue discovered in the earlier release.
• Spring Integration lead Gary Russell just announced Spring AMQP 1.7.0.RELEASE and 1.6.7.RELEASE. This release includes upgrades to the AMQP 4.0 client, updated Log4J support, a new spring-rabbit-junit module, the ability to dynamically register queues at runtime, and numerous other niceties that - among other things - will be integrated into the imminent Spring Boot 1.5!
• Spring Integration guru Artem Bilan - never sleeping! - also just announced the Spring Integration Extension for SMB 0.5.0
• I really enjoyed Implementing Config Server and extending it from Clint Checketts at Domo and predict it’s going to be a very popular S1P replay.
• Tomas Lin from Netflix brings CD and expression languages together in: Putting a SpEL on Spinnaker: Evolving an Expression Language for Continuous Delivery
• Mary Ann Wayer and Travis Cherry present a transition story at Premier, Inc in this SpringOne Platform 2016 Replay: Moving from Monolithic Architecture to Spring Cloud and Microservices
• Adrian Cole presents An Introduction to Distributed Tracing and Zipkin in this SpringOne Platform 2016 Replay.
• Marcin Grzejszczak and Reshmi Krishna demonstrate distributed tracing in this S1P 2016 Replay: Implementing Microservices tracing with Spring Cloud and Zipkin
• Do you code against common AWS services like SQS, ElastiCache, SNS, CloudFormation,
  RDS, S3? Agim Emruil from Mimacom shows us how to access them from idiomatic spring constructs in this SpringOne Platform 2016 Replay: Spring Cloud on AWS
• Chris Richardson focuses on microservice design fundamentals, and event sourcing in this SpringOne Platform 2016 Replay: Developing microservices with aggregates
• Fabio Carvalho, Eduardo Solis from PayPal present the Spring Boot based Raptor web framework in this S1P 2016 Replay: Spring Boot at PayPal
• Register now to learn about Spring Cloud’s support for distributed tracing from one of the masters - Marcin Grzejszczak - in Zielona Góra, Poland.
• a friendly reminder, Spring Cloud Services 1.2 for Cloud Foundry features multi-site service discovery
• even RedHat recommends Spring Cloud as the premier way to build microservices. The project described in this talk has moved to this incubator repository, by the way.
• Check out this ever-growing repository for a sketch of what’s in the works to learn about Spring Cloud Function.
• check out this community driven effort to support Spring Cloud’s DiscoryClient abstraction with Marathon for Apache Mesos
• the Paradigma Digital blog has a great Spanish-language post by Eduardo González on distributed tracing with Spring Cloud and Zipkin
• Check out this Mexico City, Mexico JUG talk on Spring Cloud Config
• this post walks through setting up a simple Spring Security and Spring Data JPA-based application
• Check out Hazelcast’s amazing Viktor Gamov as he introduces using Hazelcast with Spring Boot in Bootiful Hazelcast
• R. Pidugu put together a nice look at building a Spring Boot and Spring Data JPA-based application
• our friends on the JDriven blog put together another instalmment of their Spring Sweets series, this time looking at how to contribute metadata to the Spring Boot Actuator /info endpoint
• Murali’s blog has a quick-and-easy look at using Spring Boot and Spring’s support for WebSockets with Angular 2
• I love this RedHat guru’s post on using Apache Camel with Spring Boot

Welcome to another installment of This Week in Spring! We’ve got a lot to get into this week - even more so than usual! So, let’s get into it!

Starting to put together topics for the next season of Spring Tips: what would you like to see discussed?

— Josh Long (龙之春, जोश) (@starbuxman) January 13, 2017

This week there are a lot of great SpringOne Platform 2016 replays available online thanks to our very own Pieter Humphrey!

• Don’t miss Stéphane Maldini’s SpringOne Platform (S1P) 2016 talk introducing Reactor 3.0
• or this S1P 2016 talk by Sebastien Deleuze and Stephane Maldini on reactive programming options for the JVM (introducing Reactor and RxJava, among others)
• Yahoo! Marcin just tweeted some exciting news: Pact support has been added to Spring Cloud Contract
• Noriaki Tatsumi ( from Capital One) gave a nice S1P 2016 talk on operating a high velocity organization with Spring Cloud
• Google’s Ray Tsang and Bret McGowen put together a nice talk on using gRPC for Spring Developers
• in this S1P 2016 talk, Ben Hale, Paul Harris and Stephane Maldini introduce some of the nuance of building reactive APIs
• Ryan Baxter has just announced Spring Cloud Camden.SR4
• Glenn Renfro just announced Spring Cloud Task 1.1.2.RELEASE
• speaking of Spring Cloud Contract, I really dig this post by epages’ Mathias on building and testing event-driven microservices with Spring Cloud Contract
• I loved our very own Toshiaki Maki’s exhaustive repository demonstrating how to use Spring Boot with a larger number of different SQL persistence technologies. Great resource! Bookmark this!
• and speaking of persistence options, I really enjoyed community hero Michael Simmons’ talk on JOOQ and Spring Boot
• Hortonworks’s Tim Spann got a few great posts on using Spring Boot with Apache Phoenix or Apache Hive
• Martin Westergaard Lassen has put together a nice post on his top favorite seven (ahem! six.. :D) features of Spring Boot
• I really liked this post by Apigee’s Alan Ho on the reasons that organizations diffuse monolithic time-bombs: “If the monolithic stack doesn’t go, the good developers will”
• Yahoo! just open-sourced their continuous delivery platform called Screwdriver. This has little or nothing to do with Spring or Pivotal, directly, yet, but it’s yet another contender in the ever expanding ecosystem of continuous delivery tools, along with Pivotal’s Concourse, Netlfix Spinnaker (to which Pivotal, Google, Microsoft and Netflix all commit and contribute), Jenkins and so many more. Remember, at the end of the day, the most important metric for organizational agility isn’t cloud computing or microservices, it’s the ability to continuously (quickly and safely) deliver value to the customer.
• This is super cool! Now you can use Apache Camel with Spring Cloud Stream
• this is a topic near and dear to my heart: using a Spring Boot Slack bot to notify people of the availability of coffee
• Hurray! Cloud Foundry surgical routing is now supported in Spring Cloud Ribbon-based load-balancing
• want to consume of the Spring Cloud Services from .NET applications? Check out this post on Steeltoe
• Evan Brown put together a succinct blog introducing a replay of a talk on how to deploy Pivotal Cloud Foundry on Google Cloud Platform. Check out this talk on BOSH and Cloud Foundry Basics for Google Cloud Platform, pt. 1
• want to learn how to use Spring Cloud Security (and its OAuth support for clients) with RedHat’s Keycloak? Check this blog out by RedHat’s Kamesh out

Welcome to another installment of This Week in Spring! This week I’m in San Francisco and New York City talking to developers and toiling on the final edits to the O’Reilly book Cloud Native Java (almost there!). Also, marketing ninja Pieter Humphrey is ramping up the S1P 2016 replays, so fasten your seat belt and check the S1P 2016 YouTube playlist for the most current releases. We’ve got a lot to cover this week so let’s get to it!

• Spring Cloud Task ninja Glen Renfro just announced Spring Cloud Task 1.1.1 with a fast following, bug-fix only, 1.1.2 release.
• our latest and greatest Spring Boot team member Madhura Bhave just announced Spring Boot 1.5.0.RC1
• Spring Integration guru Artem Bilan just announced Spring Integration 5.0.M2
• Spring Batch and Spring Cloud Task lead Michael Minella just announced Spring Batch 4.0 complete with a lot of niceties and - in particular a feature I’ve wanted forever - an easy way to build instances of the more sophisticated ItemReader and ItemWriter intances, including the FlatFileItemReader! This is been a long time in coming and I can’t wait for this release. This rounds out the already epic Java configuration story for Spring Batch.
• Spring IO Platform lead Andy Wilkinson just announced Spring IO Platform Athens SR2, which brings with it new revisions of Spring Boot, Spring Retry, Spring AMQP and so much more
• Spring framework ninja and Kotlin afficianado Sebastien Deleuze just blogged about some of the coming improvements to support the Kotlin language in Spring framework 5
• Microservice developers working on security and service disovery won’t want to miss Spencer Gibb’s S1P 2016 replay: Spring Cloud with Consul and Vault. If you are new to Vault, Mark Paluch has you covered with a S1P replay that was published last week in Spring.
• Catch Spring Data lead Oliver Gierke as he delivers a Spring Data REST deep dive at S1P 2016, now on youtube!
• Shin Tanimoto’s S1P 2016 session offers techniques for visualizing microservices built by Spring Boot applications using Elasticsearch, Kibana and Spring Cloud Sleuth.
• Apache Geode and Pivotal Gemfire enthusiasts won’t want to miss this masterclass from hoopy froods John Blum and Luke Shannon about Spring Data and in memory data management in action, recorded at S1P 2016.
• Using Spring Boot on Cloud Foundry? Scott Frederick shows you how to wield autoconfiguration and the Java Buildpack like a boss to access platform and off-platform services in his talk recorded at S1P 2016.
• Are you a Apache Cassandra user? Spring Data experts Mark Paluch, John Blum talk about the community module turned 1st class project, Spring Data Cassandra in this S1P 2016 replay.
• Pivotal’s very own Ben Wilcock put together a very nice example project that demonstrates how to use Spring Cloud Services with Pivotal Cloud Foundry
• He also put together a handy demo of Spring Cloud Contracts
• Our very own Toshiaki Maki Making put together a nice post on some of the niceties in Spring Boot 1.5 and how they integrate with the Pivotal Apps Manager for Cloud Foundry
• Daniel Olszewski has put together a quick and easy look at configuring time-to-live values for the Spring Cache abstraction
• I liked this German-language post on building REST services with Spring Boot
• Jose Praveen did a nice job demonstrating how to integrate an H2 database with a Spring Boot application
• I liked Sam Chu’s Chinese-language post on setting up multiple MongoDB connections in a Spring application
• this is a well-thought out look at how to do validation of JSON payloads in a REST API

Following the Kotlin support on start.spring.io we introduced a few months ago, we have continued to work to ensure that Spring and Kotlin play well together. One of the key strengths of Kotlin is that it provides a very good interoperability with libraries written in Java. But there are ways to go even further and allow writing fully idiomatic Kotlin code when developing your next Spring application. In addition to Spring Framework support for Java 8 that Kotlin applications can leverage like functional web or bean registration APIs, there are additional Kotlin dedicated features that should allow you to reach a new level of productivity.