Spring Team
Mark Pollack

Mark Pollack

Spring Cloud Data Flow lead

New York, NY

Mark Pollack is a software engineer with Pivotal and is the lead of the Spring Cloud Data Flow project. He has been a contributor to many Spring projects dating back to the Spring Framework in 2003 as well as founding the Spring.NET and Spring Data projects.
Blog Posts by Mark Pollack

Spring Cloud Data Flow 2.1 GA Released

The Spring Cloud Data Flow team is pleased to announce the release of 2.1 of Data Flow.

We have a brand new website with great new content, which is where you can find our getting started guide for use on Cloud Foundry and Kubernetes and your Local Machine.

Here are the highlights:

New Dedicated Data Flow Website

The Data Flow team takes pride is openly communicating with the community in various forums including StackOverflow, Gitter, GitHub, Twitter, and at times in Email and Zoom calls even.

However, we realized that we could provide a much better experience to answer common questions and provide an easier on-ramp to using Data Flow if we focused on improving the online documentation. The reference guide was not the ideal format to achieve that goal, so we embarked on creating a new website - https://dataflow.spring.io - that acts as the hub for learning about all things Data Flow related.

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Spring Cloud Data Flow and Skipper 2.0 GA Released

The Spring Cloud Data Flow team is pleased to announce the release of 2.0 of Data Flow. Follow the Getting Started guides for running on Local, Cloud Foundry, and Kubernetes.

Hand in hand is the 2.0 release of Spring Cloud Skipper. The getting started section in the reference guide is the best place to start if you want to use Skipper separately from Data Flow.

Here are the highlights for Data Flow

  • Stream deployment always delegates to Skipper

  • Single server that runs on all supported platforms

  • Launch tasks against multiple platforms

  • UI improvements

  • Standardize on OAuth2 and OpenID Connect for Security

  • Revamped metrics and monitoring of deployed applications

  • Updated analytics using micrometer

  • Database migration support

  • Update to Boot 2.1

  • Update internals to use JPA

  • Task/Job Execution and Performance improvements

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java-cfenv 1.0 GA Released

The java-cfenv library is a new library for accessing Cloud Foundry Services. For Spring Boot users, it extracts service credentials from the VCAP_SERVICES environment variable and sets well known Spring Boot auto-configuration properties.

You can find more about it in the 1.0 M1 release blog as well as the README.

In this release the following Cloud Foundry Services are supported

  • Databases - DB2, MySQL, Oracle, Postgresql, SqlServer

  • RabbitMQ

  • Cassandra

  • MongoDB

  • Redis

  • Pivotal Single Sign On

Of note, there is a new interface, CfEnvProcessor that simplifies what you need to write in order to provide integration with other Cloud Foundry services. The docs on supporting other services has the details.

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java-cfenv 1.0 RC1 Released

The java-cfenv library is new library for accessing Cloud Foundry Services. For Spring Boot users, it extracts service credentials from the VCAP_SERVICES environment variable and sets well known Spring Boot auto-configuration properties.

In this release the following Cloud Foundry Services are supported

  • Databases - DB2, MySQL, Oracle, Postgresql, SqlServer

  • RabbitMQ

  • Cassandara

  • MongoDB

  • Redis

In 1.0 RC1 two other modules were introduced that contain support for Pivotal’s Spring Cloud Service and Single Sign on tiles. The java-cfenv-boot-pivotal-scs module provides support for Config Server and java-cfenv-boot-pivotal-sso module provides support for single sign on.

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Spring Cloud Data Flow and Skipper 2.0 RC1 Released

The Spring Cloud Data Flow team is pleased to announce the release of 2.0 RC1 of Data Flow. Follow the Getting Started guides for running on Local, Cloud Foundry, and Kubernetes.

Hand in hand is the 2.0 RC1 release of Spring Cloud Skipper. The getting started section in the reference guide is the best place to start if you want to use Skipper separately from Data Flow.

Here are the highlights for Data Flow

  • Revamped metrics and monitoring of deployed applications on Kubernetes

  • Updated analytics using micrometer

  • Security improvements

  • Dashboard improvements

  • Database migration support

Read more...

Introducing java-cfenv: A new library for accessing Cloud Foundry Services

Introduction

The Spring Cloud Connectors library has been with us since the launch event of Cloud Foundry itself back in 2011. One of the main goals of the connector library and Cloud Foundry’s Java buildpack was to “reduce the initial investment when you want to get started with Cloud Foundry”. The connector library creates the Spring bean definitions required to connect to backing services, like databases, using information contained in the VCAP_SERVICES environment variable. The buildpack then replaces these bean definitions you had in your application with those created by the connector library through a feature called ‘auto-reconfiguration’. You may have seen it mentioned in the logs when you pushed an app to Cloud Foundry…

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Spring Cloud Data Flow 1.7.4 and Skipper 1.1.4 Released

The Spring Cloud Data Flow team is pleased to announce the release of 1.7.4 of Data Flow for Local and Cloud Foundry. The Kubernetes release is at version 1.7.3.

Follow the Getting Started guides for running on Local, Cloud Foundry, and Kubernetes.

Various bugs since the 1.7 GA release have been fixed. You can see the issues for 1.7.1, 1.7.2, 1.7.3, and 1.7.4 for more details.

We have also released 1.1.4 release of Spring Cloud Skipper. The getting started section in the reference guide is the best place to start if you want to use Skipper separately from Data Flow.

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Spring Cloud Data Flow and Skipper 2.0 M2 Released

The Spring Cloud Data Flow team is pleased to announce the release of 2.0 M2 of Data Flow. Follow the Getting Started guides for running on Local, Cloud Foundry, and Kubernetes.

Hand in hand is the 2.0 M2 release of Spring Cloud Skipper. The getting started section in the reference guide is the best place to start if you want to use Skipper separately from Data Flow.

Here are the highlights for Data Flow

  • Launch tasks against multiple platforms

  • Revamped metrics and monitoring of deployed applications

  • Additional security roles

  • Dashboard improvements

  • Database migration support

Read more...

Spring Cloud Data Flow and Skipper 2.0 M1 Released

The Spring Cloud Data Flow team is pleased to announce the release of 2.0 M1 Follow the Getting Started guides for running on Local, Cloud Foundry, and Kubernetes.

Hand in hand is the 2.0 M1 release of Spring Cloud Skipper which has been updated to depend upon Spring Boot 2.1. The getting started section in the reference guide is the best place to start kicking the tires.

Here are the highlights for Data Flow

  • Stream deployment always delegates to Skipper

  • Single server that runs on all supported platforms

  • Update to Boot 2.1

  • Standardize on OAuth2 and OpenID Connect for Security

  • Update internals to use JPA

  • UI improvements

  • Task/Job Execution and Performance improvements

Read more...

Project Update: Spring Cloud Data Flow for Apache Mesos and Apache YARN

Dear Spring community,

The Spring Cloud Data Flow team have been happy stewards of the Spring Cloud Deployer and Spring Cloud Data Flow implementations of Apache Mesos and Apache YARN.

We now feel that TrustedChoice.com will be a better home for Apache Mesos implementation of Spring Cloud Deployer and Spring Cloud Data Flow, and we are donating the projects to them to carry it forward.

The development will now be managed directly by the team (Adam J. Weigold, Phil Egelston, Justin Mathieu, and Cole Anderson) at TrustedChoice.com, as the Spring Cloud Data Flow team will no longer maintain it.

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