From functionality point of view following will be changes.
-> Threshold will not be applied for vms undergoing HA process (say during host going down event).
-> Threshold will not be applied for vms undergoing maintenance.
-> Threshold will apply for stop-start vm "after" the skip.counting.hours
(time till which we reserve the capacity for the stopped vm).
Reason being stop-start is a user initiated action and we are giving a time
window (skip.counting.hours) till which its guaranteed to start in the same
cluster.
After that time, threshold check applies bcz we still want to reserve the
capacity for urgent situations like HA, putting host into maintenance rather than get it consumed in such user
initiated actions.
Signed off by : nitin mehta<nitin.mehta@citrix.com>
There are three issues in resource_count table
(1) expunge a vm, the public_ip decreases and becomes -1 in basic zone.
(2) recover a vm, the volume increase.
(3) restore a vm, the volume decrease.
Marked the system template new system template as dynamicallyScalable
- handled upgrade case
- moved "dynamicallyScalable" flag to vm_instance table from user_vm_details to support dynamic scaling of system vm
Signed off by : Nitin Mehta<nitin.mehta@citrix.com>
Changes:
- Locking the group and save reservation mechanism done by DPM
- Added admin operation to cleanup VM reservations
- DPM will also cleanup VM reservations on startup
If the scaling up fails on the host the vm is running on try to migrate it to other hosts in the cluster and try scaling.
CLOUDSTACK-3349
For deciding the host in the cluster try the new deployment manager now
Signed off by : nitin mehta<nitin.mehta@citrix.com>
CLOUDSTACK-3042 - handle Scaling up of vm memory/CPU based on the presence of XS tools in the template
This also takes care of updation of VM after XS tools are installed in the vm and set memory values accordingly to support dynamic scaling after stop start of VM
Signed-off-by: Abhinandan Prateek <aprateek@apache.org>
During Scale up of VM, memory/cpu calculations should consider the memory/cpu overprovisioning factors which are set per cluster.
CLOUDSTACK-2939: CPU limit is not getting set for vm after scaleup to a service offering which have cpu cap enabled
Signed-off-by: Abhinandan Prateek <aprateek@apache.org>
Patch 2 for https://reviews.apache.org/r/11379/
Created for files server/src/com/cloud/deploy/DeploymentPlanningManagerImpl.java, server/test/com/cloud/vm/DeploymentPlanningManagerImplTest.java, server/test/org/apache/cloudstack/affinity/AffinityApiUnitTest.java
This is to support restore a vm to a new/currently_attached ISO.
In the restorevm API we have an optional parameter templateId to restore the vm to the new template/ISO ID.
- Changes merged from planner_reserve branch
- Exposing deploymentplanner as an optional parameter while creating a service offering
- changes to DeploymentPlanningManagerImpl to make sure host reserve-release happens between conflicting planner usages.
Description:
Currently, userdata sent over to the DeployVMCmd and
updateVMCmd commands can be upto 2K in length, whether
sent over GET or POST. We remove this limitation for
POST to change this limit to 32K. Also enabling lazy
load on userdata to improve performance during reads
of large sized userdata from user VM records.
Signed-off-by: Min Chen <min.chen@citrix.com>
This feature provides resetting a SSH key for an existing VM which means,
setting the old ssh key that is assigned to the VM previously with the new ssh
key.
Signed-off-by: Harikrishna Patnala <harikrishna.patnala@citrix.com>
Signed-off-by: Rohit Yadav <bhaisaab@apache.org>
Description: Adds API calls updateDefaultNicForVirtualMachine,
addNicToVirtualMachine, and removeNicFromVirtualMachine. These are
intended to allow a user to modify a VM's configuration post
deployment, to adjust the networks to which the VM belongs.
BUG-ID: CLOUDSTACK-645
Submitted-by: Brian Angus <blangus@betterservers.com>
Submitted-by: Ryan Dietrich <ryan@betterservers.com>
Signed-off-by: Marcus Sorensen <marcus@betterservers.com> 1359494800 -0700
Nitin Mehta
Wei Zhou
Bharat Kumar
Prachi Damle
Harikrishna Patnala
Saksham Srivastava
Sheng Yang
Vijayendra Bhamidipati
Mice Xia
Devdeep Singh
Brian Spindler
Edison Su
Min Chen
frank
Edison Su
Kelven Yang
Marcus Sorensen
Alex Huang