Most projects configured to run per push to git server
6
Primary application or service you work on
7
How long does it take to get results?
8
% of builds finish in 12 seconds
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Half of all builds finish in under 4 minutes
10
How often does your pipeline complete with a green status?
11
Time a pipeline sits in a failure state
12
Peak Throughput was April 2020
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After April, Throughput falls a bit
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Hypothesis: people working hard on core business stability
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Hypothesis: Fewer distractions working at home
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Branch Information
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Success Rate is 80% on the default branch at 50th percentile and 100% for 75th percentile and above
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Success Rate at 50p is 80% for default and 58% for non-default branches
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Duration on default branches are faster at every percentile.
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Recovery Time is lower on default branch at every percentile.
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What development practices definitively work?
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Success Rate does not correlate with company size
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Duration is longest for teams of one
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Recovery Time decreases with increased team size (up to 200)
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Longest Recovery Times are from teams of one.
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Performance is better with more than one contributor as shown by multiple indicators
27
Software is collaborative
28
% less Throughput
29
Final Thoughts
30
More collaborators means better outcomes
Description:
Explore DevOps insights derived from millions of anonymized workflows in this CNCF webinar. Gain valuable benchmarks to assess your software delivery team's performance as CircleCI's VP of Platform and Technical Content Manager present data-driven findings on project configurations, build durations, success rates, and recovery times. Discover how team size impacts various performance metrics, learn about branch-specific patterns, and understand the importance of collaboration in software development. Analyze throughput trends, including the peak observed during April 2020, and consider hypotheses about productivity shifts during remote work. Leave with actionable insights to improve your DevOps practices and build better software faster.
CNCF Member Webinar - DevOps from a Different Data-set