Running throttling and backoff jobs on self-hosted runners with Azure Pipelines is a crucial aspect of managing resource utilization across your CI/CD processes. By incorporating appropriate throttling and exponential backoff strategies, you can ensure that your jobs are executed efficiently without overwhelming your system resources.
# Sample YAML pipeline for implementing throttling and backoff
trigger:
- main
jobs:
- job: ThrottledJob
pool:
name: Default
steps:
- script: |
echo "Starting throttled job"
for i in {1..5}; do
echo "Attempt: $i"
if [ $i -eq 3 ]; then
echo "Failure! Retrying after backoff..."
sleep 5 # Exponential backoff logic can be implemented here.
fi
done
echo "Job completed!"
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?