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[948.20 --> 949.40] because you can
[949.40 --> 950.82] deploy to other tools.
[950.96 --> 951.54] For reporting
[951.54 --> 952.54] you may use
[952.54 --> 953.56] external tools
[953.56 --> 955.10] like test trail
[955.10 --> 956.72] it can be on-premise
[956.72 --> 957.70] but still
[957.70 --> 958.58] when something
[958.58 --> 959.16] goes wrong
[959.16 --> 960.06] you will need
[960.06 --> 961.06] to access this data
[961.06 --> 961.94] and you will need
[961.94 --> 962.46] to understand
[962.46 --> 963.04] where it went.
[963.26 --> 963.90] What do you think, Cyril?
[964.02 --> 964.70] I would like to
[964.70 --> 965.94] come back to your question
[965.94 --> 967.44] on what is the right way
[967.44 --> 968.72] to instrument a pipeline.
[969.06 --> 970.36] What we have discovered
[970.36 --> 971.98] instrumenting
[971.98 --> 972.80] Jenkins
[972.80 --> 973.68] on Maven
[973.68 --> 974.56] on Ansible
[974.56 --> 975.88] is that
[975.88 --> 976.80] instrumenting
[976.80 --> 978.02] well your pipeline
[978.02 --> 979.04] is a journey
[979.04 --> 980.34] for the instrumentation
[980.34 --> 980.72] people.
[981.24 --> 982.08] We have to
[982.08 --> 982.92] understand
[982.92 --> 983.98] what are the right
[983.98 --> 985.28] spans to capture
[985.28 --> 986.62] in your pipeline execution
[986.62 --> 987.46] to capture
[987.46 --> 988.38] the right step.
[989.02 --> 989.72] For example
[989.72 --> 990.84] on Jenkins
[990.84 --> 991.92] we had to iterate
[991.92 --> 992.76] to capture
[992.76 --> 994.24] the right spans
[994.24 --> 995.32] to measure
[995.32 --> 996.00] the time
[996.00 --> 996.68] it was taken
[996.68 --> 997.48] to allocate
[997.48 --> 998.28] the build agent.
[998.68 --> 999.46] Our initial
[999.46 --> 1000.28] instrumentation
[1000.28 --> 1000.96] did not capture
[1000.96 --> 1001.44] it well
[1001.44 --> 1002.64] so it was hard
[1002.64 --> 1004.06] for CICD administrators
[1004.06 --> 1005.30] to really
[1005.30 --> 1006.10] narrow down
[1006.10 --> 1006.88] their investigation
[1006.88 --> 1008.02] to this specific
[1008.02 --> 1008.42] phase
[1008.42 --> 1009.28] on understanding
[1009.28 --> 1010.22] and evolving
[1010.22 --> 1011.00] across time.
[1011.66 --> 1012.26] Another thing
[1012.26 --> 1013.02] that was important
[1013.02 --> 1013.40] for us
[1013.40 --> 1014.58] was to iterate
[1014.58 --> 1015.38] on the right
[1015.38 --> 1016.20] attributes
[1016.20 --> 1017.00] we extract
[1017.00 --> 1017.72] from the pipeline
[1017.72 --> 1018.22] execution
[1018.22 --> 1019.60] that we attach
[1019.60 --> 1020.38] to the spans
[1020.38 --> 1021.64] so that you can
[1021.64 --> 1022.84] get the right
[1022.84 --> 1023.42] meaning
[1023.42 --> 1024.34] of the data
[1024.34 --> 1025.72] for your use case.
[1026.34 --> 1027.08] We've seen
[1027.08 --> 1028.36] that there is
[1028.36 --> 1029.14] a troubleshooting
[1029.14 --> 1029.80] use case
[1029.80 --> 1030.32] troubleshooting
[1030.32 --> 1031.18] of your pipeline
[1031.18 --> 1031.68] execution
[1031.68 --> 1032.78] so here maybe
[1032.78 --> 1033.48] you need to
[1033.48 --> 1034.08] capture
[1034.08 --> 1034.42] well
[1034.42 --> 1035.46] the GitHub
[1035.46 --> 1036.26] access
[1036.26 --> 1037.50] GitHub URL
[1037.50 --> 1039.04] your Jira URL
[1039.04 --> 1039.92] sometime
[1039.92 --> 1040.84] you need to
[1040.84 --> 1041.18] capture
[1041.18 --> 1041.54] some
[1041.54 --> 1042.26] organizational
[1042.26 --> 1043.18] information
[1043.18 --> 1044.38] if you want