Spring Boot 1.3.6 available now
Right after Spring Framework 4.2.7, Spring Boot 1.3.6 has been released and is available now from repo.spring.io and Maven Central.
This maintenance release includes a number of fixes and 3rd party dependency updates.
Right after Spring Framework 4.2.7, Spring Boot 1.3.6 has been released and is available now from repo.spring.io and Maven Central.
This maintenance release includes a number of fixes and 3rd party dependency updates.
On behalf of the team, I am pleased to announce that Service Release 2 of the Spring Cloud Brixton Release Train is available today. The release can be found in our Spring Release repository and Maven Central.
This is primarily a bug fix release.
And, as always, we welcome feedback: either on GitHub, on gitter, on Stack Overflow, or on Twitter.
The Spring Cloud team will be talking about Spring Cloud at Spring One Platform, which will be taking place in Las Vegas between August 1-4 this year. There are many other great talks so check the agenda and get your ticket…
I'm pleased to announce the release of Spring Session 1.2.1.RELEASE. This release contains numerous bug fixes and trivial enhancements.
I am pleased to announce that Gradle dependency management plugin 0.6.0.RELEASE is now available from Maven Central, JCenter, and the Gradle Plugin Portal.
This new release is compatible with Gradle 3.0. At the time of writing it's tested against 3.0 M2 and the 0.6.x line will continue to track Gradle 3.0 development to maintain compatibility if at all possible.
Previously, an imported bom's properties could be overridden using project properties. This new release adds support for overriding a property as part of the import. bomProperty can be used to override properties one at a time (and can be used multiple times to override multiple…
We are pleased to announce the Spring for Apache Hadoop 2.4.0 GA release.
In addition to version upgrades for Hadoop distros Spring for Apache Hadoop 2.4 adds the following improvements:
See the release changelog for details.
We continue to provide version specific artifacts with their respective transitive dependencies in the Spring IO milestone repository:
Welcome to another installment of This Week in Spring! This week I'm in Munich and Wolfsburg, Germany, visiting with customers, then it's off to Seoul, South Korea, for customers and some user group talks.
This week we've got a lot of exciting Spring Cloud Data Flow news, coincident with the new Spring Cloud Data Flow RC1
Passwords, API keys and confidential data fall into the category of secrets. Storing secrets the secure way is a challenge with limiting access and a true secure storage. Let's take a look at Hashicorp Vault and how you can use it to store and access secrets.
Passwords, API keys, secure Tokens, and confidential data fall into the category of secrets. That's data which shouldn't lie around. It mustn't be available in plaintext in easy to guess locations. In fact, it must not be stored in plaintext in any location.
Sensitive data can be encrypted by using the Spring Cloud Config Server or TomEE. Encrypted data is one step better than unencrypted. Encryption imposes on the other side the need for decryption on the user side which requires a decryption key to be distributed. Now, where do you put the key? Is the key protected by a passphrase? Where do you put the passphrase? On how many systems do you distribute…
I am pleased to announce the 1.0.0.M3 release of Spring Cloud Data Flow for Cloud Foundry, a team effort that encompasses many new features under the hood:
This third milestone builds upon the recent RC1 release of Spring Cloud Data Flow and also adds Cloud Foundry specific refinements. Some highlights include:
Alignment with Cloud Foundry’s global environment properties such as ORG, API, and URL as opposed to previous naming variants
Adds security integration to authenticate against OAUTH backend server that’s compatible with Cloud Foundry
Publishes security configurations for easier overrides when connecting to OAUTH backend server that’s compatible with Cloud Foundry
Preliminary iterations on performance testing on Cloud Foundry with and without taps’s in real-time streaming pipeline
Builds upon feature-toggle support from Spring Cloud Data Flow’s core project to conditionally refine what features get included in each release
…On behalf of the Spring Cloud Data Flow team, I am pleased to announce the 1.0.0.RC1 release of Spring Cloud Data Flow for Apache YARN.
Spring Cloud Data Flow for Apache YARN allows one to use all the goodness of Spring Cloud Data Flow (like the Shell and UI) while targeting Apache YARN as a backend. Stream components are deployed as individual apps in Apache YARN, leveraging the power of the platform to handle scaling and health monitoring.
This first release candicate
I am pleased to announce the 1.0.0.RC1 release candidate of Spring Cloud Data Flow for Kubernetes, a team effort that encompasses many new features under the hood.
This release candidate builds upon the recent 1.0.0.RC1 release of Spring Cloud Data Flow and also adds Cloud Foundry specific refinements. Some highlights include:
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