Jumpscale is a cloud automation product and a branch from what used to be Pylabs. About 9 years ago Pylabs was the basis of a cloud automation product which was acquired by SUN Microsystems from Q-Layer. In the mean time we are 4 versions further and we have rebranded it to Jumpscale.
REMARK: lots of changes have recently being done see changes.md
The core module provides the bare framework into which other modules of Jumpscale plug into.
Of these provided tools are, most notably:
Config Manager The config manager is a secure way to manage configuration instances. Anything saved to the file system is NACL encrypted and only decrypted on the fly when accessed.
Executors Jumpscale comes with its own executors that abstract working locally or remotely. Of these executors:
[Node Manager]()
tested on osx, ubuntu 16.04, ubuntu 17.04 (will upgrade brew as part of the process on OSX)
curl https://raw.githubusercontent.com/threefoldtech/jumpscale_core/development/install.sh?$RANDOM > /tmp/install_jumpscale.sh;bash /tmp/install_jumpscale.sh
#to define branch:
export JUMPSCALEBRANCH="development"
curl https://raw.githubusercontent.com/threefoldtech/jumpscale_core/$JUMPSCALEBRANCH/install.sh?$RANDOM > /tmp/install_jumpscale.sh;bash /tmp/install_jumpscale.sh
to follow the install
tail -f /tmp/jumpscale_install.log
to test that it worked:
js_shell
mkdir -p /opt/code/github/threefoldtech/jumpscale_core
pip3 install -e git+https://github.com/threefoldtech/jumpscale_core@development#egg=core --src /opt/code/github/threefoldtech/jumpscale_core
The jsshell
in your terminal, type js_shell
In Python
python3 -c 'from jumpscale import j;print(j.application.getMemoryUsage())'
the default mem usage < 23 MB and lazy loading of the modules.
How to run a sandbox of jumpscale and python Check Documentation <!TODO>