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From "Gangumalla, Uma" <uma.ganguma...@intel.com>
Subject Re: [VOTE] Accept Gearpump into the Apache Incubator
Date Wed, 02 Mar 2016 15:06:26 GMT
+1 (non-binding)

Regards,
Uma

On 3/1/16, 4:53 PM, "Andrew Purtell" <apurtell@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_Dep
>endency_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-private@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​
>
>​


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