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If you have studied computing science, then you know how to do complexity analysis. You'll know that iterating through a linked list is O(N), binary search is O(log(N)) and a hash table lookup is O(1). What if I told you that all of the above is wrong?

I've written server-side applications for a decade now, and monitoring the components of your application is critical but painful. What monitors the CPU and RAM usage of your custom daemons? What monitors Redis, MySQL, memcached and the other parts of your system to ensure they are all behaving normally? What if I told you you could do all that and set it up in less than 5 minutes?

MALLOC_ARENA_MAX - starting with GLIBC Version 2.10 and higher, a new feature has emerged to help address memory locations and proximity to processor cores. Prior to this feature, everything stayed within one memory pool, so the data didn't get "closer" to the cores. . However, we have discovered that when fully utilized in CentOS/RHEL 6.x, this functionality can also generate negative side effects as excessive memory utilization.

I've never met a developer who complained about code getting faster or taking up less RAM. In Ruby, memory is especially important, yet few developers know the ins-and-outs of why their memory use goes up or down as their code executes.