Summary It is important to remember that you cannot set requests that are larger than resources provided by your nodes. Soft limit = Request. Hard limit = Limit.
Refs https://cloud.google.com/blog/products/containers-kubernetes/kubernetes-best-practices-resource-requests-and-limits
Vocabulary CPU CPU resources are defined in millicores. 1000m = 1 core
Example
If your container needs two full cores to run, you would put the value “2000m”. If your container only needs ¼ of a core, you would put a value of “250m”....
Tags Summary By default all files created inside a container are stored on a writable container layer. This means that: The data doesn’t persist when that container no longer exists, and it can be difficult to get the data out of the container if another process needs it.
Writable layer A container’s writable layer is tightly coupled to the host machine where the container is running. You can’t easily move the data somewhere else....
Python Only if you use the header argument :results value the code of the block is wrapped by a function and the result of the code block is the return value of that function.
return 7 + 7 14 On the other hand :results output means that the code of the block is sent to the interpreter. The result of the code block is what the code prints to the standard output....
What Is Linting? Linting is the automated checking of your source code for programmatic and stylistic errors. This is done by using a lint tool (otherwise known as linter). A lint tool is a basic static code analyzer.
The term linting originally comes from a Unix utility for C. There are many code linters available for various programming languages today.
Solution given For anyone stumbling across this issue, changing my broker url from amqp:// to pyamqp:// solved the issue for me. I guess that forced usage of py-amqp over librabbitmq?
What worked for me? pip uninstall librabbitmq pip install pyamqp and then replace amqp with pyamqp
#app = Celery('tasks', broker='amqp://guest@localhost//') app = Celery('tasks', broker='pyamqp://guest@localhost//')
Summary Sharp developer.
Contact email: majed.alshaibani@kfupm.edu.sa
Summary Keep weight under contorl.
Summary wiki In computing, load balancing refers to the process of distributing a set of tasks over a set of resources (computing units), with the aim of making their overall processing more efficient. Load balancing techniques can optimize the response time for each task, avoiding unevenly overloading compute nodes while other compute nodes are left idle.
Commands Logging journalctl -f [f]ollow new messages (like `tail -f` for traditional syslog): journalctl -u kibana -f journalctl –since now|today|yesterday|tomorrow –until YYYY-MM-DD HH:MM:SS Filter messages within a time range (either timestamp or placeholders like “yesterday”): journalctl _PID=pid Show all messages by a specific process: Process Files Users