Techniques to Speed Up your Build Pipeline for Faster Feedback.
We would like to share our experience and journey on how we brought down our Jenkins build pipeline time down from over 90 minutes to under 12 minutes. In the process, we would share specific techniques which helped and also some, which logically made sense, but actually did not help. If your team is trying to optimize their build times, then this session might give you some ideas on how to approach the problem.
Development Impact - For one of our build job, below graph shows how the number of builds in a day have increased over a period of time as the build time has reduced. Frequency of code check-in has increased; Wait time has reduced; failed test case faster to isolate and fix.
Business Impact - More builds leading to quicker feedback and faster story acceptance and less story spill over.
Outline/structure of the Session
- My introduction (1 min).
- Why long running pipeline was hurting (2 min)
- Demonstrate example of Disk IO intensive operations ( 2 min)
- How the JUnit ant task options affect the time required to run tests (5 minutes)
- In-memory/In-Process db (5 min)
- SSD, Hybrid Disks, RAM Drives, tmpfs (5 min)
- How CPU profiling gives further insights into our code (10 min)
- CPU intensive operations – e.g. addDays.
- Disk IO intensive operations
- Scanning of resource bundle files.
- Loading Spring context from tests all tests.
- How profiling can bring down not only the time of JUnit tests, but can also have a big impact on your production code efficiency.
- Questions ( 5 min )
- Importance of getting fast feedback.
- How to investigate long running tests.How to profile long running tests using Eclipse.
- How to run Tests concurrently.
- RAM Disks, SSD, Hybrid disks.
- Don’t assume; validate your hypothesis.
Software Developers, Testers, DevOps
schedule Submitted 3 years ago
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