Re: Apache in Month of November 2020 (News Video)
Hi Swapnil， Your vlog is very inspiring. Nice done :) Willem Jiang Twitter: willemjiang Weibo: 姜宁willem On Wed, Dec 2, 2020 at 4:10 PM Swapnil M Mane wrote: > > Dear all, > > Hope you are doing well. > Recently I have experimented with a video on Apache News Roundup. > Here is what happened this month in Apache. > > https://youtu.be/daud_G6YyV0 > > I am also working on more videos and content for spreading Apache and > open source awareness, I will keep you posted on this. > More content can be found at the YouTube channel 'Open Source Wave' > https://s.apache.org/OpenSourceWave > > > Thanks & regards, > Swapnil M Mane, > www.apache.org > > - > To unsubscribe, e-mail: dev-unsubscr...@community.apache.org > For additional commands, e-mail: dev-h...@community.apache.org > - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
Re: Apache in Month of November 2020 (News Video)
Very nicely done! Kudos! Thanks, Roman. On Wed, Dec 2, 2020 at 12:10 AM Swapnil M Mane wrote: > > Dear all, > > Hope you are doing well. > Recently I have experimented with a video on Apache News Roundup. > Here is what happened this month in Apache. > > https://youtu.be/daud_G6YyV0 > > I am also working on more videos and content for spreading Apache and > open source awareness, I will keep you posted on this. > More content can be found at the YouTube channel 'Open Source Wave' > https://s.apache.org/OpenSourceWave > > > Thanks & regards, > Swapnil M Mane, > www.apache.org > > - > To unsubscribe, e-mail: dev-unsubscr...@community.apache.org > For additional commands, e-mail: dev-h...@community.apache.org > - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
Re: Apache in Month of November 2020 (News Video)
I think while the cherry-picks are very valuable they should not be counted for counting the number of commits for sure. I think there might definitely have been a time where Jarek and I might have made to Top committers list based purely on the number of commits / merged PRs -- which like Jarek said is good and flattering. But there are high chances that the other time would be based on our commit activity on the release branch. We can help update the algorithm if it is in a public repo somewhere too :) Regards, Kaxil On Thu, Dec 3, 2020 at 8:48 PM Jarek Potiuk wrote: > I love it as the initiative :). And I love to be Top Apache Airflow > Committer last month, but I am not sure I deserved to be one :). > > I believe the algorithm for top committers needs some improvements. I did > cherry-pick > 300 commits this month between releases in Apache Airflow (we > are preparing a big 2.0 release but we continue to release 1.10 series and > I cherry-picked a lot). But most of that work was pretty mechanical. > Not sure how the algorithm works, but for transparency I think maybe it's > the right time to improve the algorithm :). Together with Kaxil, we topped > the weekly charts for a number of weeks (I am reading the weekly reports > regularly). But I think it is mostly because we are cherry-picking a lot as > we both work on 1-10 cherry-picks (BTW. Kaxil also made it to the > top-contributor-of-the month list). While this is flattering, I kinda feel > bad that (unknowingly) we are abusing the system. > > Or maybe I am wrong :)? Maybe those cherry-picks are really valuable ? > Who can I talk to about this ? > > J. > > > On Thu, Dec 3, 2020 at 9:01 PM Suresh Marru wrote: > >> Very nice Videolog, thanks for taking time to start this initiative >> Swapnil. >> >> Suresh >> >> > On Dec 2, 2020, at 3:10 AM, Swapnil M Mane >> wrote: >> > >> > Dear all, >> > >> > Hope you are doing well. >> > Recently I have experimented with a video on Apache News Roundup. >> > Here is what happened this month in Apache. >> > >> > https://youtu.be/daud_G6YyV0 >> > >> > I am also working on more videos and content for spreading Apache and >> > open source awareness, I will keep you posted on this. >> > More content can be found at the YouTube channel 'Open Source Wave' >> > https://s.apache.org/OpenSourceWave >> > >> > >> > Thanks & regards, >> > Swapnil M Mane, >> > www.apache.org >> > >> > - >> > To unsubscribe, e-mail: dev-unsubscr...@community.apache.org >> > For additional commands, e-mail: dev-h...@community.apache.org >> > >> >> >> - >> To unsubscribe, e-mail: dev-unsubscr...@community.apache.org >> For additional commands, e-mail: dev-h...@community.apache.org >> >> > > -- > +48 660 796 129 >
Re: Apache in Month of November 2020 (News Video)
I love it as the initiative :). And I love to be Top Apache Airflow Committer last month, but I am not sure I deserved to be one :). I believe the algorithm for top committers needs some improvements. I did cherry-pick > 300 commits this month between releases in Apache Airflow (we are preparing a big 2.0 release but we continue to release 1.10 series and I cherry-picked a lot). But most of that work was pretty mechanical. Not sure how the algorithm works, but for transparency I think maybe it's the right time to improve the algorithm :). Together with Kaxil, we topped the weekly charts for a number of weeks (I am reading the weekly reports regularly). But I think it is mostly because we are cherry-picking a lot as we both work on 1-10 cherry-picks (BTW. Kaxil also made it to the top-contributor-of-the month list). While this is flattering, I kinda feel bad that (unknowingly) we are abusing the system. Or maybe I am wrong :)? Maybe those cherry-picks are really valuable ? Who can I talk to about this ? J. On Thu, Dec 3, 2020 at 9:01 PM Suresh Marru wrote: > Very nice Videolog, thanks for taking time to start this initiative > Swapnil. > > Suresh > > > On Dec 2, 2020, at 3:10 AM, Swapnil M Mane > wrote: > > > > Dear all, > > > > Hope you are doing well. > > Recently I have experimented with a video on Apache News Roundup. > > Here is what happened this month in Apache. > > > > https://youtu.be/daud_G6YyV0 > > > > I am also working on more videos and content for spreading Apache and > > open source awareness, I will keep you posted on this. > > More content can be found at the YouTube channel 'Open Source Wave' > > https://s.apache.org/OpenSourceWave > > > > > > Thanks & regards, > > Swapnil M Mane, > > www.apache.org > > > > - > > To unsubscribe, e-mail: dev-unsubscr...@community.apache.org > > For additional commands, e-mail: dev-h...@community.apache.org > > > > > - > To unsubscribe, e-mail: dev-unsubscr...@community.apache.org > For additional commands, e-mail: dev-h...@community.apache.org > > -- +48 660 796 129
Re: Apache in Month of November 2020 (News Video)
Very nice Videolog, thanks for taking time to start this initiative Swapnil. Suresh > On Dec 2, 2020, at 3:10 AM, Swapnil M Mane wrote: > > Dear all, > > Hope you are doing well. > Recently I have experimented with a video on Apache News Roundup. > Here is what happened this month in Apache. > > https://youtu.be/daud_G6YyV0 > > I am also working on more videos and content for spreading Apache and > open source awareness, I will keep you posted on this. > More content can be found at the YouTube channel 'Open Source Wave' > https://s.apache.org/OpenSourceWave > > > Thanks & regards, > Swapnil M Mane, > www.apache.org > > - > To unsubscribe, e-mail: dev-unsubscr...@community.apache.org > For additional commands, e-mail: dev-h...@community.apache.org > - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Commented] (COMDEV-386) Apache SkyWalking: Python agent supports profiling
[ https://issues.apache.org/jira/browse/COMDEV-386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243136#comment-17243136 ] Zhenxu Ke commented on COMDEV-386: -- https://github.com/apache/skywalking/issues/5943 > Apache SkyWalking: Python agent supports profiling > -- > > Key: COMDEV-386 > URL: https://issues.apache.org/jira/browse/COMDEV-386 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > SkyWalking is based on agent to instrument (automatically) monitored > services, for now, we have many agents for different languages, Python agent > [2] is one of them, which supports automatic instrumentations. > The goal of this project is to extend the agent's features by supporting > profiling [3] a function's invocation stack, help the users to analyze which > method costs the most major time in a cross-services call. > To complete this task, you must be comfortable with Python, have some > knowledge of tracing system, otherwise you'll have a hard time coming up to > speed.. > [1] http://skywalking.apache.org > [2] http://github.com/apache/skywalking-python > [3] > https://thenewstack.io/apache-skywalking-use-profiling-to-fix-the-blind-spot-of-distributed-tracing/ -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Commented] (COMDEV-393) Apache SkyWalking: Python agent collects and reports PVM metrics to backend
[ https://issues.apache.org/jira/browse/COMDEV-393?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243135#comment-17243135 ] Zhenxu Ke commented on COMDEV-393: -- https://github.com/apache/skywalking/issues/5944 > Apache SkyWalking: Python agent collects and reports PVM metrics to backend > --- > > Key: COMDEV-393 > URL: https://issues.apache.org/jira/browse/COMDEV-393 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > Tracing distributed systems is one of the main features of SkyWalking, with > those traces, it can analyze some service metrics such as CPM, success rate, > error rate, apdex, etc. SkyWalking also supports receiving metrics from the > agent side directly. > In this task, we expect the Python agent to report its Python Virtual Machine > (PVM) metrics, including (but not limited to, whatever metrics useful are > also acceptable) CPU usage (%), memory used (MB), (active) thread/coroutine > counts, garbage collection count, etc. > To complete this task, you must be comfortable with Python and gRPC, > otherwise you'll have a hard time coming up to speed. > Live demo to play around: > [http://122.112.182.72:8080|http://122.112.182.72:8080/] (under > reconstruction, maybe unavailable but latest demo address can be found at the > GitHub index page [http://github.com/apache/skywalking]) > [1] [http://skywalking.apache.org|http://skywalking.apache.org/] -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Commented] (COMDEV-393) Apache SkyWalking: Python agent collects and reports PVM metrics to backend
[ https://issues.apache.org/jira/browse/COMDEV-393?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243130#comment-17243130 ] Iaroslav Poskryakov commented on COMDEV-393: [~kezhenxu94] yeah, i am watching it now :D > Apache SkyWalking: Python agent collects and reports PVM metrics to backend > --- > > Key: COMDEV-393 > URL: https://issues.apache.org/jira/browse/COMDEV-393 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > Tracing distributed systems is one of the main features of SkyWalking, with > those traces, it can analyze some service metrics such as CPM, success rate, > error rate, apdex, etc. SkyWalking also supports receiving metrics from the > agent side directly. > In this task, we expect the Python agent to report its Python Virtual Machine > (PVM) metrics, including (but not limited to, whatever metrics useful are > also acceptable) CPU usage (%), memory used (MB), (active) thread/coroutine > counts, garbage collection count, etc. > To complete this task, you must be comfortable with Python and gRPC, > otherwise you'll have a hard time coming up to speed. > Live demo to play around: > [http://122.112.182.72:8080|http://122.112.182.72:8080/] (under > reconstruction, maybe unavailable but latest demo address can be found at the > GitHub index page [http://github.com/apache/skywalking]) > [1] [http://skywalking.apache.org|http://skywalking.apache.org/] -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Commented] (COMDEV-393) Apache SkyWalking: Python agent collects and reports PVM metrics to backend
[ https://issues.apache.org/jira/browse/COMDEV-393?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243127#comment-17243127 ] Zhenxu Ke commented on COMDEV-393: -- [~Yaro1] thank you for your interest!! This is a good project that I think is perfectly suitable for you to solve as you have a solid Python experience. P.S. Make sure to watch the timeline of GSoC events :) > Apache SkyWalking: Python agent collects and reports PVM metrics to backend > --- > > Key: COMDEV-393 > URL: https://issues.apache.org/jira/browse/COMDEV-393 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > Tracing distributed systems is one of the main features of SkyWalking, with > those traces, it can analyze some service metrics such as CPM, success rate, > error rate, apdex, etc. SkyWalking also supports receiving metrics from the > agent side directly. > In this task, we expect the Python agent to report its Python Virtual Machine > (PVM) metrics, including (but not limited to, whatever metrics useful are > also acceptable) CPU usage (%), memory used (MB), (active) thread/coroutine > counts, garbage collection count, etc. > To complete this task, you must be comfortable with Python and gRPC, > otherwise you'll have a hard time coming up to speed. > Live demo to play around: > [http://122.112.182.72:8080|http://122.112.182.72:8080/] (under > reconstruction, maybe unavailable but latest demo address can be found at the > GitHub index page [http://github.com/apache/skywalking]) > [1] [http://skywalking.apache.org|http://skywalking.apache.org/] -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Commented] (COMDEV-393) Apache SkyWalking: Python agent collects and reports PVM metrics to backend
[ https://issues.apache.org/jira/browse/COMDEV-393?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243121#comment-17243121 ] Iaroslav Poskryakov commented on COMDEV-393: I want to try to solve this problem. > Apache SkyWalking: Python agent collects and reports PVM metrics to backend > --- > > Key: COMDEV-393 > URL: https://issues.apache.org/jira/browse/COMDEV-393 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > Tracing distributed systems is one of the main features of SkyWalking, with > those traces, it can analyze some service metrics such as CPM, success rate, > error rate, apdex, etc. SkyWalking also supports receiving metrics from the > agent side directly. > In this task, we expect the Python agent to report its Python Virtual Machine > (PVM) metrics, including (but not limited to, whatever metrics useful are > also acceptable) CPU usage (%), memory used (MB), (active) thread/coroutine > counts, garbage collection count, etc. > To complete this task, you must be comfortable with Python and gRPC, > otherwise you'll have a hard time coming up to speed. > Live demo to play around: > [http://122.112.182.72:8080|http://122.112.182.72:8080/] (under > reconstruction, maybe unavailable but latest demo address can be found at the > GitHub index page [http://github.com/apache/skywalking]) > [1] [http://skywalking.apache.org|http://skywalking.apache.org/] -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Commented] (COMDEV-386) Apache SkyWalking: Python agent supports profiling
[ https://issues.apache.org/jira/browse/COMDEV-386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243120#comment-17243120 ] Iaroslav Poskryakov commented on COMDEV-386: [~kezhenxu94] yeah, this is rightfully, i agree. Well, in this case i go to this issue https://issues.apache.org/jira/browse/COMDEV-393 > Apache SkyWalking: Python agent supports profiling > -- > > Key: COMDEV-386 > URL: https://issues.apache.org/jira/browse/COMDEV-386 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > SkyWalking is based on agent to instrument (automatically) monitored > services, for now, we have many agents for different languages, Python agent > [2] is one of them, which supports automatic instrumentations. > The goal of this project is to extend the agent's features by supporting > profiling [3] a function's invocation stack, help the users to analyze which > method costs the most major time in a cross-services call. > To complete this task, you must be comfortable with Python, have some > knowledge of tracing system, otherwise you'll have a hard time coming up to > speed.. > [1] http://skywalking.apache.org > [2] http://github.com/apache/skywalking-python > [3] > https://thenewstack.io/apache-skywalking-use-profiling-to-fix-the-blind-spot-of-distributed-tracing/ -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Comment Edited] (COMDEV-386) Apache SkyWalking: Python agent supports profiling
[ https://issues.apache.org/jira/browse/COMDEV-386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243116#comment-17243116 ] Zhenxu Ke edited comment on COMDEV-386 at 12/3/20, 11:18 AM: - [~Yaro1] sorry I don't have the permission to assign, and the assignment doesn't make much sense because the final result would be evaluated based on the application and proposal according to the timeline [1], so just feel free to apply for the projects you are interested in before the deadline. Also, [~Yaro1] , as [~humbertzhang] has contributed many commits to the Python agent [2], and already done some research works on the profiling feature, I'd prefer to let him take over this project, yet we have another project that's equivalently interesting but requires less tracing system background (according to what you said above) that I think is perfectly suitable for you, if you are interested in that project, please refer to https://issues.apache.org/jira/browse/COMDEV-393 , thanks! [1] [https://community.apache.org/gsoc.html] [2] [https://github.com/apache/skywalking-python/commits?author=Humbertzhang] was (Author: kezhenxu94): [~Yaro1] sorry I don't have the permission to assign, and the assignment doesn't make much sense because the final result would be evaluated based on the application and proposal according to the timeline [1], so just feel free to apply for the projects you are interested in before the deadline. Also, [~Yaro1] , as [~humbertzhang] has contributed many commits to the Python agent [2], and already done some research works on the profiling feature, I'd prefer to let him take over this project, yet we have another project that's equivalently interesting but requires less tracing system background (according to what said above) that I think is perfectly suitable for you, if you are interested in that project, please refer to https://issues.apache.org/jira/browse/COMDEV-393 , thanks! [1] [https://community.apache.org/gsoc.html] [2] [https://github.com/apache/skywalking-python/commits?author=Humbertzhang] > Apache SkyWalking: Python agent supports profiling > -- > > Key: COMDEV-386 > URL: https://issues.apache.org/jira/browse/COMDEV-386 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > SkyWalking is based on agent to instrument (automatically) monitored > services, for now, we have many agents for different languages, Python agent > [2] is one of them, which supports automatic instrumentations. > The goal of this project is to extend the agent's features by supporting > profiling [3] a function's invocation stack, help the users to analyze which > method costs the most major time in a cross-services call. > To complete this task, you must be comfortable with Python, have some > knowledge of tracing system, otherwise you'll have a hard time coming up to > speed.. > [1] http://skywalking.apache.org > [2] http://github.com/apache/skywalking-python > [3] > https://thenewstack.io/apache-skywalking-use-profiling-to-fix-the-blind-spot-of-distributed-tracing/ -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Comment Edited] (COMDEV-386) Apache SkyWalking: Python agent supports profiling
[ https://issues.apache.org/jira/browse/COMDEV-386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243116#comment-17243116 ] Zhenxu Ke edited comment on COMDEV-386 at 12/3/20, 11:16 AM: - [~Yaro1] sorry I don't have the permission to assign, and the assignment doesn't make much sense because the final result would be evaluated based on the application and proposal according to the timeline [1], so just feel free to apply for the projects you are interested in before the deadline. Also, [~Yaro1] , as [~humbertzhang] has contributed many commits to the Python agent [2], and already done some research works on the profiling feature, I'd prefer to let him take over this project, yet we have another project that's equivalently interesting but requires less tracing system background (according to what said above) that I think is perfectly suitable for you, if you are interested in that project, please refer to https://issues.apache.org/jira/browse/COMDEV-393 , thanks! [1] [https://community.apache.org/gsoc.html] [2] [https://github.com/apache/skywalking-python/commits?author=Humbertzhang] was (Author: kezhenxu94): [~Yaro1] sorry I don't have the permission to assign, and the assignment doesn't make much sense because the final result would be evaluated based on the application and proposal according to the timeline [1], so just feel free to apply for the projects you are interested in before the deadline. Also [~Yaro1] , as [~humbertzhang] has contributed many commits to the Python agent [2], and already done some research works on the profiling feature, I'd prefer to let him take over this project, yet we have another project that's equivalently interesting but requires less tracing system background (according to what said above) that I think is perfectly suitable for you, if you are interested in that project, please refer to https://issues.apache.org/jira/browse/COMDEV-393 , thanks! [1] [https://community.apache.org/gsoc.html] [2] [https://github.com/apache/skywalking-python/commits?author=Humbertzhang] > Apache SkyWalking: Python agent supports profiling > -- > > Key: COMDEV-386 > URL: https://issues.apache.org/jira/browse/COMDEV-386 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > SkyWalking is based on agent to instrument (automatically) monitored > services, for now, we have many agents for different languages, Python agent > [2] is one of them, which supports automatic instrumentations. > The goal of this project is to extend the agent's features by supporting > profiling [3] a function's invocation stack, help the users to analyze which > method costs the most major time in a cross-services call. > To complete this task, you must be comfortable with Python, have some > knowledge of tracing system, otherwise you'll have a hard time coming up to > speed.. > [1] http://skywalking.apache.org > [2] http://github.com/apache/skywalking-python > [3] > https://thenewstack.io/apache-skywalking-use-profiling-to-fix-the-blind-spot-of-distributed-tracing/ -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Commented] (COMDEV-386) Apache SkyWalking: Python agent supports profiling
[ https://issues.apache.org/jira/browse/COMDEV-386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243116#comment-17243116 ] Zhenxu Ke commented on COMDEV-386: -- [~Yaro1] sorry I don't have the permission to assign, and the assignment doesn't make much sense because the final result would be evaluated based on the application and proposal according to the timeline [1], so just feel free to apply for the projects you are interested in before the deadline. Also [~Yaro1] , as [~humbertzhang] has contributed many commits to the Python agent [2], and already done some research works on the profiling feature, I'd prefer to let him take over this project, yet we have another project that's equivalently interesting but requires less tracing system background (according to what said above) that I think is perfectly suitable for you, if you are interested in that project, please refer to https://issues.apache.org/jira/browse/COMDEV-393 , thanks! [1] [https://community.apache.org/gsoc.html] [2] [https://github.com/apache/skywalking-python/commits?author=Humbertzhang] > Apache SkyWalking: Python agent supports profiling > -- > > Key: COMDEV-386 > URL: https://issues.apache.org/jira/browse/COMDEV-386 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > SkyWalking is based on agent to instrument (automatically) monitored > services, for now, we have many agents for different languages, Python agent > [2] is one of them, which supports automatic instrumentations. > The goal of this project is to extend the agent's features by supporting > profiling [3] a function's invocation stack, help the users to analyze which > method costs the most major time in a cross-services call. > To complete this task, you must be comfortable with Python, have some > knowledge of tracing system, otherwise you'll have a hard time coming up to > speed.. > [1] http://skywalking.apache.org > [2] http://github.com/apache/skywalking-python > [3] > https://thenewstack.io/apache-skywalking-use-profiling-to-fix-the-blind-spot-of-distributed-tracing/ -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Commented] (COMDEV-386) Apache SkyWalking: Python agent supports profiling
[ https://issues.apache.org/jira/browse/COMDEV-386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243073#comment-17243073 ] Ke Zhang commented on COMDEV-386: - Hi, I am also interested in this problem, I have read some docs and blogs about profiling in skywalking. I also have read some java codes about profiling in the skywalking main repo. I think it's an amazing function and I want to implement it in the skywalking python agent. > Apache SkyWalking: Python agent supports profiling > -- > > Key: COMDEV-386 > URL: https://issues.apache.org/jira/browse/COMDEV-386 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > SkyWalking is based on agent to instrument (automatically) monitored > services, for now, we have many agents for different languages, Python agent > [2] is one of them, which supports automatic instrumentations. > The goal of this project is to extend the agent's features by supporting > profiling [3] a function's invocation stack, help the users to analyze which > method costs the most major time in a cross-services call. > To complete this task, you must be comfortable with Python, have some > knowledge of tracing system, otherwise you'll have a hard time coming up to > speed.. > [1] http://skywalking.apache.org > [2] http://github.com/apache/skywalking-python > [3] > https://thenewstack.io/apache-skywalking-use-profiling-to-fix-the-blind-spot-of-distributed-tracing/ -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Commented] (COMDEV-386) Apache SkyWalking: Python agent supports profiling
[ https://issues.apache.org/jira/browse/COMDEV-386?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17243039#comment-17243039 ] Iaroslav Poskryakov commented on COMDEV-386: Can you assign it to me? Or i need to do something before? > Apache SkyWalking: Python agent supports profiling > -- > > Key: COMDEV-386 > URL: https://issues.apache.org/jira/browse/COMDEV-386 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > SkyWalking is based on agent to instrument (automatically) monitored > services, for now, we have many agents for different languages, Python agent > [2] is one of them, which supports automatic instrumentations. > The goal of this project is to extend the agent's features by supporting > profiling [3] a function's invocation stack, help the users to analyze which > method costs the most major time in a cross-services call. > To complete this task, you must be comfortable with Python, have some > knowledge of tracing system, otherwise you'll have a hard time coming up to > speed.. > [1] http://skywalking.apache.org > [2] http://github.com/apache/skywalking-python > [3] > https://thenewstack.io/apache-skywalking-use-profiling-to-fix-the-blind-spot-of-distributed-tracing/ -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
[jira] [Updated] (COMDEV-393) Apache SkyWalking: Python agent collects and reports PVM metrics to backend
[ https://issues.apache.org/jira/browse/COMDEV-393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Zhenxu Ke updated COMDEV-393: - Description: Apache SkyWalking [1] is an application performance monitor (APM) tool for distributed systems, especially designed for microservices, cloud native and container-based (Docker, K8s, Mesos) architectures. Tracing distributed systems is one of the main features of SkyWalking, with those traces, it can analyze some service metrics such as CPM, success rate, error rate, apdex, etc. SkyWalking also supports receiving metrics from the agent side directly. In this task, we expect the Python agent to report its Python Virtual Machine (PVM) metrics, including (but not limited to, whatever metrics useful are also acceptable) CPU usage (%), memory used (MB), (active) thread/coroutine counts, garbage collection count, etc. To complete this task, you must be comfortable with Python and gRPC, otherwise you'll have a hard time coming up to speed. Live demo to play around: [http://122.112.182.72:8080|http://122.112.182.72:8080/] (under reconstruction, maybe unavailable but latest demo address can be found at the GitHub index page [http://github.com/apache/skywalking]) [1] [http://skywalking.apache.org|http://skywalking.apache.org/] was: Apache SkyWalking [1] is an application performance monitor (APM) tool for distributed systems, especially designed for microservices, cloud native and container-based (Docker, K8s, Mesos) architectures. Tracing distributed systems is one of the main features of SkyWalking, with those traces, it can analyze some service metrics such as CPM, success rate, error rate, apdex, etc. SkyWalking also supports receiving metrics from the agent side directly. In this task, we expect the Python agent to report its Python Virtual Machine (PVM) metrics, including (but not limited to, whatever metrics useful are also acceptable) CPU usage (%), memory used (MB), (active) thread counts, garbage collection count, etc. To complete this task, you must be comfortable with Python and gRPC, otherwise you'll have a hard time coming up to speed. Live demo to play around: http://122.112.182.72:8080 (under reconstruction, maybe unavailable but latest demo address can be found at the GitHub index page http://github.com/apache/skywalking) [1] http://skywalking.apache.org > Apache SkyWalking: Python agent collects and reports PVM metrics to backend > --- > > Key: COMDEV-393 > URL: https://issues.apache.org/jira/browse/COMDEV-393 > Project: Community Development > Issue Type: Task > Components: GSoC/Mentoring ideas >Reporter: Zhenxu Ke >Priority: Major > Labels: SkyWalking, gsoc2021, mentor > > Apache SkyWalking [1] is an application performance monitor (APM) tool for > distributed systems, especially designed for microservices, cloud native and > container-based (Docker, K8s, Mesos) architectures. > Tracing distributed systems is one of the main features of SkyWalking, with > those traces, it can analyze some service metrics such as CPM, success rate, > error rate, apdex, etc. SkyWalking also supports receiving metrics from the > agent side directly. > In this task, we expect the Python agent to report its Python Virtual Machine > (PVM) metrics, including (but not limited to, whatever metrics useful are > also acceptable) CPU usage (%), memory used (MB), (active) thread/coroutine > counts, garbage collection count, etc. > To complete this task, you must be comfortable with Python and gRPC, > otherwise you'll have a hard time coming up to speed. > Live demo to play around: > [http://122.112.182.72:8080|http://122.112.182.72:8080/] (under > reconstruction, maybe unavailable but latest demo address can be found at the > GitHub index page [http://github.com/apache/skywalking]) > [1] [http://skywalking.apache.org|http://skywalking.apache.org/] -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: dev-unsubscr...@community.apache.org For additional commands, e-mail: dev-h...@community.apache.org
