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> > > > > > > > > > > > > > > > > > > > >
