Therefore, in your computer, even if you have a single-core CPU, while you can zap on the web browser for cute cat pictures, Spotify can play its music at the background. Basically it accounts the CPU usage of processes and tries to be fair among many processes. One of the popular ones is Completely Fair Scheduler (CFS) which was merged in 2007 into the Linux Kernel. The concept evolved over the years and operating systems now have schedulers that are responsible for scheduling many processes. During 1960s, when people were using mainframes and the CPU power was expensive, each user was allocated fixed times so that the large mainframe could be shared among many people. This concept is nothing new, it is called “time-sharing”. But, you can allocate 1/10 of the time of the CPU to a single function, and you can have 10 of them working at the same time to share the same CPU core. There is no such thing as 1/10 CPU, you can not physically divide 1/10 of the CPU. How does AWS allocate proportional CPU for your function?
#CPU POWER THROTTLED MEANING CODE#
Even if it did, it would be expensive as hell and wouldn’t be beneficial for many people since most of the code can’t make use of parallelism in an effective manner. But, the 3GB Lambda does not have 24 CPUs. Since the CPU power is proportional to RAM, you may think that 3GB function is 24 times faster than the 128MB function. However, AWS Lambda supports 3GB of memory. For instance, AWS allocates twice much CPU power for your function while going from 128MB to 256MB of RAM. Second reason is, although you only specify the RAM, AWS allocates proportional CPU to your functions.
We prefer to allocate more memory instead of experiencing these errors in production. These spikes can cause out of memory exceptions. Sometimes depending on the traffic, there can be unexpected spikes in usage. Although Java tends to use more memory compared to other languages such as Node.js and Python, we still allocate more memory than we need for our functions. Our primary programming language for our Lambda functions is Java. We have been using AWS Lambda for over two years at OpsGenie.
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