+1 (binding)
On Tue, Mar 1, 2016 at 5:05 PM, James Taylor <jamestay...@apache.org> wrote: > +1 (binding) > > On Tue, Mar 1, 2016 at 4:53 PM, Andrew Purtell <apurt...@apache.org> > wrote: > > > Greetings, > > > > The discussion of the Gearpump proposal has concluded. Please vote to > > accept Gearpump into the Apache Incubator. I will leave this vote open > for > > at least the next 72 hours and will aim to close it Monday the 7th of > > March, 2016 at midnight PT. Gearpump is a flexible, efficient, and > scalable > > micro-service based real-time big data streaming engine. The text of the > > proposal is included below and is also available at > > https://wiki.apache.org/incubator/GearpumpProposal > > > > [ ] +1 Accept Gearpump as an Apache Incubator podling. > > [ ] +0 Abstain. > > [ ] -1 Don’t accept Gearpump as an Apache Incubator podling because ... > > > > Note that while votes from Incubator PMC members are binding, all are > most > > definitely welcome to vote! > > > > I am +1 (binding). > > > > Best regards, > > > > - Andy > > > > ----- > > > > = Gearpump Proposal = > > > > === Abstract === > > Gearpump is a flexible, efficient and scalable micro-service based > > real-time big data streaming engine developed by Intel Corporation which > > has been licensed by Intel under the Apache License 2.0. > > > > === Proposal === > > Gearpump is a reactive real-time streaming engine; completely based on > the > > micro-service Actor model. Gearpump provides extremely high performance > > stream processing while maintaining millisecond latency message delivery. > > It enables reusable, composable flows or partial graphs that can be > > remotely deployed and executed in a diverse set of environments, > including > > IoT edge devices. These flows may be deployed and modified at runtime -- > a > > capability few real time streaming frameworks provide today. > > > > The goal of this proposal is to incubate Gearpump as an Apache project in > > order to build a diverse, healthy, and self-governed open source > community > > around this project. > > > > === Background === > > In past decade, there have been many advances within real-time streaming > > frameworks. Despite many advances, users of streaming frameworks often > > complain about flexibility, efficiency, and scalability. Gearpump > endeavors > > to solve these challenges by adopting the micro-service Actor model. The > > Actor model was proposed by Carl Hewitt in 1973. In the Actor model, each > > actor is a message driven micro-service; actors are the basic building > > blocks of concurrent computation. By leveraging Actor Model’s location > > transparency feature,Gearpump allows a graph to be composed of several > > partial graphs, where, for example, some parts may be deployed to remote > > IoT edge devices, and other parts to a data center. This division and > > deployment model can be changed at runtime to adapt to a changing > physical > > environment, providing extreme flexibility and elasticity in solving > > various ingestion and analytics problems. We’ve found Actors to be a much > > smaller computation unit compared with threads, where smaller usually > means > > better concurrency, and potentially better CPU utilization. > > > > === Rationale === > > Gearpump tightly integrates and enhances the big data community of Apache > > projects. Intel believes Gearpump can bring benefits to the Apache > > community in a number of ways: > > > > 1. Gearpump complements many existing Apache projects, in particular, > those > > commonly found within the big data space. Users of this project are also > > users of other Apache projects, such as Hadoop ecosystem projects. It is > > beneficial to align these projects under the ASF umbrella. In real-time > > streaming, Gearpump offers some special features that are useful for > Apache > > users, such as exactly-once processing with millisecond message level > > latency and dynamic DAGs that allow online topology modifications. > > > > 2. Gearpump tightly integrates with Apache big data projects. It supports > > for Apache HDFS, YARN, Kafka, and HBase. It uses Apache YARN for resource > > scheduling and Apache HDFS as the essential distributed storage system. > > > > 3. The micro-service model of reusable flows that Gearpump has adopted is > > very unique, and it may become common in the future.Gearpump sets a good > > example about how distributed software can be implemented within a > > micro-service model. An open project is of best interest to our users. > By > > joining Apache, it will be a neutral infrastructure platform that will > > benefit everyone. > > > > 4. The process and development philosophy of Apache will help Gearpump > > grow, > > and build a diverse, healthy, and self-governed open source community. > > > > === Initial Goals === > > 1. Migrate the existing codebase to Apache. > > > > 2. Setup Jira, website and other development tools by following Apache > best > > practices. > > > > 3. Start the first release per Apache guidelines as soon as possible. > > > > === Current Status === > > Gearpump is hosted on Github. It has 1922 commits, 38284 line of code, > and > > 31 major or minor releases, with release notes highlighting the changes > for > > every release. It is licensed under Apache License Version 2. There is a > > documentation site at http://gearpump.io > > > > including a user guide, internal details, use cases and a roadmap. There > is > > also an issue tracker where every code commit is tracked by a bug Id. > Every > > pull request is reviewed by several reviewers and will only be merged > based > > on consensus rule. These match Apache’s development ideals. > > > > ==== Meritocracy ==== > > We think an open, fair, and renewing community culture is what we need > and > > what our users require, that will protect everyone in the community. We > > would like the project to be free from potential undue influence from any > > single organization. We will invest in supporting a meritocratic model. > > > > ==== Community ==== > > Gearpump has a growing community with hundreds of stars on Github and an > > active WeChat group with hundreds of subscriptions. We organize regular > > offline meetup events. These efforts should help us to grow the community > > at Apache. > > > > ==== Core Developers ==== > > Most of the initial committers are Intel employees from China, the US, > and > > Poland. We are committed to build a diverse community which involves more > > companies and individuals. > > > > === Alignment === > > Gearpump has good alignment with other Apache projects. Gearpump is > tightly > > integrated with Apache Hadoop ecosystem. It uses Apache YARN for resource > > scheduling and Apache HDFS for storage. The unique streaming processing > > abilities Gearpump complements other Apache big data projects today. We > > believe there will be a synergistic effect by aligning Gearpump under the > > Apache umbrella. > > > > === Known Risks === > > > > ==== Orphaned products ==== > > Intel has a long-term interest in big data and open source and a proven > > record of contributing to Apache projects. The risk of theGearpump > project > > being abandoned is very small. Besides, Intel is seeing an increasing > > interest in Gearpump from different organizations. We are committed to > get > > more support, adoption, and code contribution from different companies. > > > > ==== Inexperience with Open Source ==== > > Gearpump is an existing project under the Apache License, Version 2.0 > with > > a long history record of open development. Initial committers of this > > project have years of open sourcing contribution experiences, including > > code contribution to HDFS, HBase, Storm, YARN, Sqoop, and etc. Some of > the > > initial committers are also committers to other Apache projects. > > > > ==== Homogeneous Developers ==== > > The current list of committers includes developers from different > > geographies and time zones; they are able to collaborate effectively in a > > geographically dispersed environment. We are committed to recruit more > > committers from different companies to get a more diverse mixture. > > > > ==== Reliance on Salaried Developers ==== > > Most of our current Gearpump developers are Intel employees who are > > contributing to this project. Our developers are passionate about this > > project and spend a lot of their own personal time on the project. We are > > confident that their interests will remain strong. We are committed to > > recruiting additional committers from the community as well. > > > > ==== Relationships with Other Apache Product ==== > > Gearpump codebase is closely integrated with Apache Hadoop, Apache HBase, > > and Apache Kafka. Gearpump also has some similarities with Apache Storm. > > Although Gearpump and Storm are both systems for real-time stream > > processing, they have fundamentally different architectures. In > particular, > > Gearpump adopts the micro-service model, building on the Akka framework, > > for concurrency, isolation and error handling, which we believe is a > future > > trend for building distributed software. We look forward to collaboration > > with other Apache communities. > > > > ==== An Excessive Fascination with the Apache Brand ==== > > The ASF has a strong brand; we appreciate that fact and will protect the > > brand. Gearpump is an existing open source project with many committers > and > > years of effort. The reasons to join Apache are outlined in the > Rationale > > section above. > > > > === Documentation === > > Information on Gearpump can be found at: > > Gearpump website: http://gearpump.io > > Codebase: https://github.com/gearpump/gearpump > > > > === Initial Source and Intellectual Property Submission Plan === > > The Gearpump codebase is currently hosted on Github: https://github.com/ > > gearpump/gearpump. We will use this codebase to migrate to the Apache > > foundation. The Gearpump source code is licensed under Apache License > > Version 2.0 and will be kept that way. All contributions on the project > > will be licensed directly to the Apache foundation through signed > > Individual Contributor License Agreements or Corporate Contributor > License > > Agreements. > > > > === External Dependencies === > > All of Gearpump dependencies are distributed under Apache compatible > > licenses. > > > > Gearpump leverages Akka which has Apache 2.0 licensing for current and > > planned versions > > > > > http://doc.akka.io/docs/akka/2.3.12/project/licenses.html#Licenses_for_Dependency_Libraries > > > > === Cryptography === > > Gearpump does not include or utilize cryptographic code. > > > > === Required Resources === > > We request that following resources be created for the project to use > > > > ==== Mailing lists ==== > > > > gearpump-priv...@incubator.apache.org (with moderated subscriptions) > > gearpump-dev > > gearpump-user > > gearpump-commits > > > > ==== Git repository ==== > > Git is the preferred source control system: git:// > git.apache.org/gearpump > > > > ==== Documentation ==== > > https://gearpump.incubator.apache.org/docs/ > > > > ==== JIRA instance ==== > > JIRA Gearpump (GEARPUMP) > > https://issues.apache.org/jira/browse/gearpump > > > > === Initial Committers === > > * Xiang Zhong <xiang dot zhong at intel dot com> > > > > * Tianlun Zhang <tianlun dot zhang at intel dot com> > > > > * Qian Xu <qian dot a dot xu at intel dot com> > > > > * Huafeng Wang <huafeng dot wang at intel dot com> > > > > * Kam Kasravi <kam dot d dot kasravi at intel dot com> > > > > * Weihua Jiang <weihua dot jiang at intel dot com> > > > > * Tomasz Targonski <tomasz dot targonski at intel dot com> > > > > * Karol Brejna <karol dot brejna at intel dot com> > > > > * Gang Wang <gang1 dot wang at intel dot com> > > > > * Mark Chmarny <mark dot chmarny at intel dot com> > > > > * Xinglang Wang <xingwang at ebay dot com > > > > > * Lan Wang <lan dot wanglan at huawei dot com> > > > > * Jianzhong Chen <jianzhong dot chen at cloudera dot com> > > > > * Xuefu Zhang <xuefu at apache dot org> > > > > * Rui Li <rui dot li at intel dot com> > > > > === Affiliations === > > * Xiang Zhong – Intel > > > > * Tianlun Zhang – Intel > > > > * Qian Xu – Intel > > > > * Huafeng Wang – Intel > > > > * Kam Kasravi – Intel > > > > * Weihua Jiang – Intel > > > > * Tomasz Targonski – Intel > > > > * Karol Brejna – Intel > > > > * Mark Chmarny – Intel > > > > * Gang Wang – Intel > > > > * Mark Chmarny – Intel > > > > * Xinglang Wang – Ebay > > > > * Lan Wang – Huawei > > > > * Jianzhong Chen – Cloudera > > > > * Xuefu Zhang – Cloudera > > > > * Rui Li – Intel > > > > === Sponsors === > > > > ==== Champion ==== > > Andrew Purtell <apurtell at apache dot org> > > > > ==== Nominated Mentors ==== > > * Andrew Purtell <apurtell at apache dot org> > > > > * Jarek Jarcec Cecho <Jarcec at cloudera dot com> > > > > * Todd Lipcon <todd at cloudera dot com> > > > > * Xuefu Zhang <xuefu at apache dot org> > > > > * Reynold Xin <rxin at databricks dot com> > > > > ==== Sponsoring Entity ==== > > Apache Incubator PMC > > > > > > >
