Infrastructure System Configuration Application Configuration GitOps = IaC + MRs + CI/CD Merge Requests GitOps = IaC + MRs + CI/CD Continuous Integration Continuous Delivery And Automation GitOps

make_jobs(n)); # feed the jobs channel with "n" jobs julia> for i in 1:4 # start 4 tasks to process requests in parallel errormonitor(@async do_work()) end julia> @elapsed while n > 0 # print out results 23.4 Tasks and events Most task switches occur as a result of waiting for events such as I/O requests, and are performed by a scheduler included in Julia Base. The scheduler maintains a queue of runnable the jobs channel with "n" jobs julia> for p in workers() # start tasks on the workers to process requests in parallel remote_do(do_work, p, jobs, results) end julia> @elapsed while n > 0 # print out

make_jobs(n)); # feed the jobs channel with "n" jobs julia> for i in 1:4 # start 4 tasks to process requests in parallel errormonitor(@async do_work()) end julia> @elapsed while n > 0 # print out results 23.4 Tasks and events Most task switches occur as a result of waiting for events such as I/O requests, and are performed by a scheduler included in Julia Base. The scheduler maintains a queue of runnable the jobs channel with "n" jobs julia> for p in workers() # start tasks on the workers to process requests in parallel remote_do(do_work, p, jobs, results) end julia> @elapsed while n > 0 # print out

make_jobs(n)); # feed the jobs channel with "n" jobs julia> for i in 1:4 # start 4 tasks to process requests in parallel errormonitor(Threads.@spawn do_work()) end julia> @elapsed while n > 0 # print out 24.4 Tasks and events Most task switches occur as a result of waiting for events such as I/O requests, and are performed by a scheduler included in Julia Base. The scheduler maintains a queue of runnable the jobs channel with "n" jobs julia> for p in workers() # start tasks on the workers to process requests in parallelCHAPTER 26. MULTI-PROCESSING AND DISTRIBUTED COMPUTING 344 remote_do(do_work, p, jobs

make_jobs(n)); # feed the jobs channel with "n" jobs julia> for i in 1:4 # start 4 tasks to process requests in parallel errormonitor(Threads.@spawn do_work()) end julia> @elapsed while n > 0 # print out 24.4 Tasks and events Most task switches occur as a result of waiting for events such as I/O requests, and are performed by a scheduler included in Julia Base. The scheduler maintains a queue of runnable the jobs channel with "n" jobs julia> for p in workers() # start tasks on the workers to process requests in parallelCHAPTER 26. MULTI-PROCESSING AND DISTRIBUTED COMPUTING 345 remote_do(do_work, p, jobs

make_jobs(n)); # feed the jobs channel with "n" jobs julia> for i in 1:4 # start 4 tasks to process requests in parallel errormonitor(Threads.@spawn do_work()) end julia> @elapsed while n > 0 # print out 24.4 Tasks and events Most task switches occur as a result of waiting for events such as I/O requests, and are performed by a scheduler included in Julia Base. The scheduler maintains a queue of runnable the jobs channel with "n" jobs julia> for p in workers() # start tasks on the workers to process requests in parallelCHAPTER 26. MULTI-PROCESSING AND DISTRIBUTED COMPUTING 344 remote_do(do_work, p, jobs

make_jobs(n)); # feed the jobs channel with "n" jobs julia> for i in 1:4 # start 4 tasks to process requests in parallel errormonitor(Threads.@spawn do_work()) end julia> @elapsed while n > 0 # print out 24.4 Tasks and events Most task switches occur as a result of waiting for events such as I/O requests, and are performed by a scheduler included in Julia Base. The scheduler maintains a queue of runnable the jobs channel with "n" jobs julia> for p in workers() # start tasks on the workers to process requests in parallelCHAPTER 26. MULTI-PROCESSING AND DISTRIBUTED COMPUTING 344 remote_do(do_work, p, jobs

make_jobs(n)); # feed the jobs channel with "n" jobs julia> for i in 1:4 # start 4 tasks to process requests in parallel errormonitor(Threads.@spawn do_work()) end julia> @elapsed while n > 0 # print out 24.4 Tasks and events Most task switches occur as a result of waiting for events such as I/O requests, and are performed by a scheduler included in Julia Base. The scheduler maintains a queue of runnable the jobs channel with "n" jobs julia> for p in workers() # start tasks on the workers to process requests in parallelCHAPTER 26. MULTI-PROCESSING AND DISTRIBUTED COMPUTING 344 remote_do(do_work, p, jobs

make_jobs(n)); # feed the jobs channel with "n" jobs julia> for i in 1:4 # start 4 tasks to process requests in parallel errormonitor(@async do_work()) end julia> @elapsed while n > 0 # print out results 24.4 Tasks and events Most task switches occur as a result of waiting for events such as I/O requests, and are performed by a scheduler included in Julia Base. The scheduler maintains a queue of runnable the jobs channel with "n" jobs julia> for p in workers() # start tasks on the workers to process requests in parallelCHAPTER 26. MULTI-PROCESSING AND DISTRIBUTED COMPUTING 341 remote_do(do_work, p, jobs

make_jobs(n)); # feed the jobs channel with "n" jobs julia> for i in 1:4 # start 4 tasks to process requests in parallel errormonitor(@async do_work()) end julia> @elapsed while n > 0 # print out results 24.4 Tasks and events Most task switches occur as a result of waiting for events such as I/O requests, and are performed by a scheduler included in Julia Base. The scheduler maintains a queue of runnable the jobs channel with "n" jobs julia> for p in workers() # start tasks on the workers to process requests in parallelCHAPTER 26. MULTI-PROCESSING AND DISTRIBUTED COMPUTING 341 remote_do(do_work, p, jobs