Hi Paulo

Yes we are still looking for reviewers. The duties are to read through the 
submission abstracts and rate them. It's a fairly simple process. If you are 
still interested then let me know and I'll request your setup.

Thanks
Sharan

On 2022/05/20 19:02:21 Paulo Motta wrote:
> Hi Sharan,
> 
> Are you still looking for track reviewers on the perf. engineering track?
> What are the duties involved?
> 
> Thanks,
> 
> Paulo
> 
> On Wed, 6 Apr 2022 at 12:14 Sharan Foga <sha...@apache.org> wrote:
> 
> > Hi Paulo
> >
> > We have great news - the Performance Engineering track has been accepted
> > so we will be looking to encourage and promote CFP submissions for it. We
> > are also looking for reviewers to help us rate the submissions---if you are
> > still interested in doing that. ;-)
> >
> > Thanks
> > Sharan
> >
> > On 2022/03/16 15:36:04 Sharan Foga wrote:
> > > Hi Paulo
> > >
> > > Thanks for the feedback. If we do get the track accepted then we will
> > definitely be needing help reviewing the submissions - so may take you up
> > on your offer :-)
> > >
> > > Thanks
> > > Sharan
> > >
> > > On 2022/03/14 16:32:23 Paulo Motta wrote:
> > > > This Apachecon track sounds fun! I hope someone from the Cassandra
> > > > community steps up to help on this track.
> > > >
> > > > I would be happy to help on reviews but not organize the event per se
> > as I
> > > > will likely not attend the event.
> > > >
> > > > Em sex., 11 de mar. de 2022 às 09:26, sharanf <sha...@apache.org>
> > escreveu:
> > > >
> > > > > Hi All
> > > > >
> > > > > The call for tracks for ApacheCon NA is open. There is a suggestion
> > to
> > > > > try and run a Performance Engineering track at ApacheCon this year.
> > At
> > > > > the end of the message I have included some details including a
> > > > > definition of what we mean by it and some reasoning about why it
> > could
> > > > > be good to run. We have a list of projects that have something to do
> > > > > with performance engineering and if you take a look -  you will see
> > that
> > > > > this project is on the list!
> > > > >
> > > > > So what I need is a some feedback as to whether the community thinks
> > > > > that this could be an interesting track topic to run at
> > ApacheCon..and
> > > > > more importantly would the community be willing to submit talks for
> > it
> > > > > or attend ApacheCon to see it.
> > > > >
> > > > > Like I say - this is just an idea at this stage. If the Performance
> > > > > Engineering track does get approval to be included at ApacheCon  -
> > do we
> > > > > have any volunteers willing to help with managing and promoting the
> > > > > track on behalf of the project?
> > > > >
> > > > > Thanks
> > > > > Sharan
> > > > >
> > > > > -----------------------------
> > > > >
> > > > > *Performance Engineering*  is the science and practice of engineering
> > > > > software with the required performance and scalability
> > characteristics.
> > > > > Many Apache projects focus on solving hard Big Data performance and
> > > > > scalability challenges, while others provide tools for performance
> > > > > engineering - but there are few projects that don’t care about some
> > > > > aspect of software performance.
> > > > >
> > > > > This track will enable Apache projects members to share their
> > > > > experiences of performance engineering best practices, tools,
> > > > > techniques, and results, from their own communities, with the
> > benefits
> > > > > of cross-fertilization between projects. Performance Engineering in
> > the
> > > > > wider open source community is pervasive and includes methods and
> > tools
> > > > > (including automation and agile approaches) for performance:
> > > > > architecting and design, benchmarking, monitoring, tracing, analysis,
> > > > > prediction, modeling and simulation, testing and reporting,
> > regression
> > > > > testing, and source code analysis and instrumentation techniques.
> > > > >
> > > > > Performance Engineering also has wider applicability to DevOps, the
> > > > > operation of cloud platforms by managed service providers (hence some
> > > > > overlap with SRE - Site Reliability Engineering), and customer
> > > > > application performance and tuning.  This track would therefore be
> > > > > applicable to the wider open source community.
> > > > >
> > > > > *SUPPORTING DETAILS*
> > > > >
> > > > > *Google Searches*
> > > > > Google “Open source performance engineering” has 4,180,000,000
> > results
> > > > > Google “site:apache.org<http://apache.org>  performance” has 147,000
> > > > > results
> > > > >
> > > > > *Apache Projects *which may have some interest in, or focus on,
> > > > > performance (just the top results):
> > > > > JMeter, Cassandra, Storm, Spark, Samza, Pulsar, Kafka, Log4J,
> > SystemML,
> > > > > Drill, HTTP Server, Cayenne, ActiveMQ, Impala, Geode, Flink, Ignite,
> > > > > Impala, Lucene, TVM, Tika, YuniKorn, Solr, Iceberg, Dubbo, Hudi,
> > > > > Accumulo, Xerces, MXNet, Zookeeper
> > > > >
> > > > > *Incubator projects *which may have some interest in, or focus on,
> > > > > performance**(again just top results):
> > > > > Crail, Eagle, Nemo, Skywalking, MXnet, HAWQ, Mnemonic, CarbonData,
> > > > > Drill, ShenYu, Tephra, Sedona
> > > > >
> > > > > *References *(randomly selected to show the range of open-source
> > > > > performance engineering topics available, rather than the quality of
> > > > > articles):
> > > > >
> > > > >   1. Performance Engineering for Apache Spark and Databricks Runtime
> > > > >      ETHZ, Big Data HS19
> > > > >      <
> > > > >
> > https://archive-systems.ethz.ch/sites/default/files/courses/2019-fall/bigdata/Databricks%20ETHZ%20Big%20Data%20HS19.pdf
> > > > > >
> > > > >   2. Real time insights into LinkedIn's performance using Apache
> > Samza
> > > > >      <
> > > > >
> > https://engineering.linkedin.com/samza/real-time-insights-linkedins-performance-using-apache-samza
> > > > > >
> > > > >   3. A day in the life of an open source performance engineering team
> > > > >      <https://opensource.com/article/19/5/life-performance-engineer>
> > > > >   4. Locating Performance Regression Root Causes in the Field
> > Operations
> > > > >      of<https://ieeexplore.ieee.org/document/9629300>Web-based
> > Systems:
> > > > >      An Experience Report Published in: IEEE Transactions on Software
> > > > >      Engineering (Early Access)
> > > > >      <https://ieeexplore.ieee.org/document/9629300>
> > > > >   5. How to Detect Performance Changes in Software History:
> > Performance
> > > > >      Analysis of Software System Versions
> > > > >      <https://dl.acm.org/doi/10.1145/3185768.3186404>
> > > > >   6. Performance-Regression Pitfalls Every Project Should Avoid
> > > > >      <
> > > > >
> > https://www.eetimes.eu/performance-regression-pitfalls-every-project-should-avoid/
> > > > > >
> > > > >   7. How to benchmark your websites with the open source Apache Bench
> > > > >      tool
> > > > >      <
> > > > >
> > https://www.techrepublic.com/article/how-to-benchmark-your-websites-with-the-open-source-apache-bench-tool/
> > > > > >
> > > > >   8. Benchmarking Pulsar and Kafka - A More Accurate Perspective on
> > > > >      Pulsar’s Performance
> > > > >      <
> > > > >
> > https://streamnative.io/blog/tech/2020-11-09-benchmark-pulsar-kafka-performance/
> > > > > >
> > > > >   9. Performance-Analyse: Apache Cassandra 4.0.0 Release
> > > > >      <https://benchant.com/blog/cassandra-4-performance>
> > > > > 10. Log4J Performance - This page compares the performance of a
> > number
> > > > >      of logging frameworks
> > > > >      <https://logging.apache.org/log4j/2.x/performance.html>
> > > > > 11. SystemML Performance Testing
> > > > >      <
> > https://systemds.apache.org/docs/1.0.0/python-performance-test.html>
> > > > >
> > > > >
> > > >
> > >
> >
> 

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