| let videos = [] | |
| let logArrayElements = (element, index, array) => { | |
| videos.push(element.href); | |
| } | |
| items.forEach(logArrayElements) |
| resource "vsphere_virtual_machine" "vm" { | |
| name = "terraform-windows-2016" | |
| resource_pool_id = "${data.vsphere_compute_cluster.cluster.resource_pool_id}" | |
| datastore_id = "${data.vsphere_datastore.datastore.id}" | |
| num_cpus = 2 | |
| memory = 1024 | |
| guest_id = "${data.vsphere_virtual_machine.template.guest_id}" | |
| scsi_type = "${data.vsphere_virtual_machine.template.scsi_type}" | |
| wait_for_guest_net_timeout = 0 |
| resource "vsphere_virtual_machine" "vm" { | |
| name = "terraform-centos-7" | |
| resource_pool_id = "${data.vsphere_compute_cluster.cluster.resource_pool_id}" | |
| datastore_id = "${data.vsphere_datastore.datastore.id}" | |
| num_cpus = 2 | |
| memory = 1024 | |
| guest_id = "${data.vsphere_virtual_machine.template.guest_id}" | |
| scsi_type = "${data.vsphere_virtual_machine.template.scsi_type}" | |
| wait_for_guest_net_timeout = 0 |
| data "vsphere_datacenter" datacenter { | |
| name = "${var.datacenter}" | |
| } | |
| data "vsphere_datastore" datastore { | |
| name = "${var.datastore}" | |
| datacenter_id = "${data.vsphere_datacenter.datacenter.id}" | |
| } | |
| data "vsphere_compute_cluster" cluster { |
| --- | |
| # create a new VM from a template | |
| - name: VM from template | |
| hosts: localhost | |
| gather_facts: false | |
| connection: local | |
| vars: | |
| vcenter_server: "vcenter.example.com" | |
| vcenter_datacenter: "dc01" | |
| vcenter_cluster: "cluster01" |
If you have any questions or run into any problems, please don't hesitate to contact me here: [email protected]
Ensure your laptop has Virtualization Extensions (Intel VT or AMD-V) enabled and is capable of running a 2 core, 2GB RAM Virtual Machine.
Software to be Installed
For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.
Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.
You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.
| Move Docker containers to other computer | |
| This page is work in progress, and needs more details. | |
| If you want to move Docker containers to another computer (laptop, server etc) that also has Docker installed, use Docker export and import commands: | |
| https://docs.docker.com/engine/reference/commandline/export/ | |
| https://docs.docker.com/engine/reference/commandline/import/ | |
| If mongo data is on volume, also use this: |
| # nginx configuration | |
| location / { | |
| if (!-e $request_filename){ | |
| rewrite ^(.*)$ /index.php?WOLFPAGE=$1 break; | |
| } | |
| } |
| /// <summary> | |
| /// Serializer Class. | |
| /// </summary> | |
| public class Serializer | |
| { | |
| //types: | |
| // N = null | |
| // s = string | |
| // i = int | |
| // d = double |
