Hp ilo 4 use directory default schema scripting

Hp ilo 4 use directory default schema scripting how to#
Hp ilo 4 use directory default schema scripting install#
Hp ilo 4 use directory default schema scripting code#

If you want to select both groups and exclude node ilo-test, you can do it with: nodeset -fold -exclude ilo-test The ilo-sales group contains ten iLO names and ilo-marketing group contains three. Imagine you define two groups of iLOs in the nodeset configuration file: ilo-sales: ilo-sales ilo-marketing: ilo-foo,ilo-bar,ilo-test Here is one example showing the power of this clush companion command. For this article, I populated the default file located in my home directory ( ~/.local/etc/clustershell/groups.d/local.cfg). The possible locations of the configuration file depends on the nf(5) file. The list of remote nodes following the -w switch can be the output of a nodeset command taking its input from a node set configuration file. Since the -R switch is not present, the ssh default module is used toward node and the ping command is executed on this list or remote nodes. However, EPEL provides clush compiled with an ssh (default) module, allowing the following simplified syntax: clush -w node -l root 'ping aremotegateway' ` With the above syntax you can issue: clush -R exec -w node ssh -l root %h 'ping aremotegateway' ` Imagine now that you want the root user of node1, node2 and node4 to ping a remote gateway called aremotegateway. When you hit the return key, your system forks in parallel the following 3 tasks: ping node1 %h is substituted with node1, node2 and node3 for each ping command. R exec specifies a local execution of the ping command toward the list of hosts: node. If you want to perform a parallel ping toward node1, node2 and node3 type: clush -R exec -w node ping %h Here are basic examples to illustrate the launch of several commands in parallel on the local node and then one command on several remote nodes.

Hp ilo 4 use directory default schema scripting install#

On Ubuntu systems, just mention the clustershell parameter on the command line to install both packages: sudo apt install clustershell

Hp ilo 4 use directory default schema scripting code#

Another advantage of clush over pdsh is that it is written in Python and can be used in Python scripts whenever you are ready to use this language.ДЇor the purposes of this article, I will use ClusterShell only.ДЇor those systems running Red Hat or a similar distribution, you need to mention the two packages containing the code and the eco-system: sudo dnf install python3-clustershell clustershell It is associated with the nodeset(1) command for computing advanced nodeset operations like expand, fold, group, etc. Additionally, clush provides more flexibility for selecting the remote nodes you want to execute commands against or on.

Hence, moving from pdsh to clush is easy. First the basic syntax and most of the switches, options and arguments are identical to pdsh.

The ClusterShell is an interesting alternative to pdsh for many reasons. However, Google pulled out from this project in 2013. Pdsh came first as a replacement of an IBM utility (DSH) with Google being the main contributor. The Parallel Distributed Shell ( pdsh) and the ClusterShell ( clush) are both part of the Extra Package for Enterprise Linux (EPEL) repository and they give the ability to perform local or remote commands in parallel. Clush and pdsh: Quick (and dirty) overview To achieve this goal, you will combine a parallel task launcher (namely the ClusterShell and/or the Parallel Distributed Shell) with iLOrest (former hprest) the HPE RESTful Interface Tool in a more detailed and slightly different manner than what you can read already in the user guide.

Hp ilo 4 use directory default schema scripting how to#

This blog post explains how to manage many servers in parallel using bash scripts without the need of implementing schema crawlers, thus allowing a long-term stability to the scripts. A parallel approach should be considered for an important number of managed servers. However, this loop approach brings out two fundamental problems: 1) Using curl and wget in management scripts implies the creation of smart crawling functions (as explained in this article), 2) a sequential management with loops is fine for taking care of five or ten servers, but not more. Ansible) or other management tools, like HPE OneView (as described in several articles found here, in the HPE DEV Blog).Д«ut what if you are not a Python geek? What if you prefer managing your servers the old way with bash / grep / awk / jq / curl / wget? In that case, you can loop over the list of your iLO IP addresses and use curl / wget for getting and setting Redfish parameters. It allows them to add in their favorite deployment tools (i.e.

Thanks to HPE having provided the iLOrest Python API, an entirely new avenue has been opened to developers for managing their servers.