Feature spec: https://cwiki.apache.org/confluence/display/CLOUDSTACK/Granular+Resource+Limit+Management
Introduces the concept of tagged resource limits for granular resource limit management. Limits can be enforced on accounts and domains for the deployment of entities for a tagged resource. Current tagged resource limits can be used for the following resource types,
Host limits
- user_vm
- cpu
- memory
Storage limits
- volume
- primary_storage
Following global settings can used to specify tags for which limit needs to be enforced,
Host: `resource.limit.host.tags`
Storage: `resource.limit.storage.tags`
Option for specifying tagged resource limits and viewing tagged resource usage are made available in the UI.
Enhances the use of templatetag for VM deployment and template creation
Adds option to list service/compute offerings that can be used with a given template. A new parameter named templateid has been added.
Adds option to list disk offering with suitability flag for a virtual machine. A new parameter named virtualmachineid has been added to the listDiskOfferings API which when passed returns suitableforvirtualmachine param in the response.
* Use dualzones for ci github actions
* Update advdualzone.cfg to be similar to advanced.cfg & fixup test_metrics_api.py
* Fixup e2e tests for running with multiple zones
* Add e2e tests for listing of accounts, disk_offerings, domains, hosts, service_offerings, storage_pools, volumes
* Fixup
* another fixup
* Add test for listing volumes with tags filter
* Add check for existing volumes in test_list_volumes
* Wait for volumes to be deleted on cleanup
* Filter out volumes in Destroy state before checking the count of volumes
This pull request (PR) implements a Distributed Resource Scheduler (DRS) for a CloudStack cluster. The primary objective of this feature is to enable automatic resource optimization and workload balancing within the cluster by live migrating the VMs as per configuration.
Administrators can also execute DRS manually for a cluster, using the UI or the API.
Adds support for two algorithms - condensed & balanced. Algorithms are pluggable allowing ACS Administrators to have customized control over scheduling.
Implementation
There are three top level components:
Scheduler
A timer task which:
Generate DRS plan for clusters
Process DRS plan
Remove old DRS plan records
DRS Execution
We go through each VM in the cluster and use the specified algorithm to check if DRS is required and to calculate cost, benefit & improvement of migrating that VM to another host in the cluster. On the basis of cost, benefit & improvement, the best migration is selected for the current iteration and the VM is migrated. The maximum number of iterations (live migrations) possible on the cluster is defined by drs.iterations which is defined as a percentage (as a value between 0 and 1) of total number of workloads.
Algorithm
Every algorithms implements two methods:
needsDrs - to check if drs is required for cluster
getMetrics - to calculate cost, benefit & improvement of a migrating a VM to another host.
Algorithms
Condensed - Packs all the VMs on minimum number of hosts in the cluster.
Balanced - Distributes the VMs evenly across hosts in the cluster.
Algorithms use drs.level to decide the amount of imbalance to allow in the cluster.
APIs Added
listClusterDrsPlan
id - ID of the DRS plan to list
clusterid - to list plans for a cluster id
generateClusterDrsPlan
id - cluster id
iterations - The maximum number of iterations in a DRS job defined as a percentage (as a value between 0 and 1) of total number of workloads. Defaults to value of cluster's drs.iterations setting.
executeClusterDrsPlan
id - ID of the cluster for which DRS plan is to be executed.
migrateto - This parameter specifies the mapping between a vm and a host to migrate that VM. Format of this parameter: migrateto[vm-index].vm=<uuid>&migrateto[vm-index].host=<uuid>.
Config Keys Added
ClusterDrsPlanExpireInterval
Key drs.plan.expire.interval
Scope Global
Default Value 30 days
Description The interval in days after which old DRS records will be cleaned up.
ClusterDrsEnabled
Key drs.automatic.enable
Scope Cluster
Default Value false
Description Enable/disable automatic DRS on a cluster.
ClusterDrsInterval
Key drs.automatic.interval
Scope Cluster
Default Value 60 minutes
Description The interval in minutes after which a periodic background thread will schedule DRS for a cluster.
ClusterDrsIterations
Key drs.max.migrations
Scope Cluster
Default Value 50
Description Maximum number of live migrations in a DRS execution.
ClusterDrsAlgorithm
Key drs.algorithm
Scope Cluster
Default Value condensed
Description DRS algorithm to execute on the cluster. This PR implements two algorithms - balanced & condensed.
ClusterDrsLevel
Key drs.imbalance
Scope Cluster
Default Value 0.5
Description Percentage (as a value between 0.0 and 1.0) of imbalance allowed in the cluster. 1.0 means no imbalance
is allowed and 0.0 means imbalance is allowed.
ClusterDrsMetric
Key drs.imbalance.metric
Scope Cluster
Default Value memory
Description The cluster imbalance metric to use when checking the drs.imbalance.threshold. Possible values are memory and cpu.
Happy New Year - this reverts project logo and updates README and the
names of Github Actions badges used on README.
Signed-off-by: Rohit Yadav <rohit.yadav@shapeblue.com>
Apologies to commit this to main directly, this is because the
pull_request_target requires that Github Actions yaml changes are on the
source repo main branch.
Signed-off-by: Rohit Yadav <rohit.yadav@shapeblue.com>
It seems codecov can overcome the pull_request_target limitation/issue
compared to sonarcloud coverage. We've some other Apache projects who
use `codecov` now and this ticket to add support with infra:
https://issues.apache.org/jira/browse/INFRA-23561
Signed-off-by: Rohit Yadav <rohit.yadav@shapeblue.com>
This tries to add support for forked repo pull requests, to be able
to run quality checks on it and send comments on the PR. Hopefully,
this solves the issues faced recently.
Due to the way pull_request_target works, I can't send this as a PR
so committing directly to `main` and then sending a dummy PR from a fork
to test if it works as documented by github and elsewhere.
Signed-off-by: Rohit Yadav <rohit.yadav@shapeblue.com>
The pull_request_target doesn't seem to work for PRs from forks,
this reverts to use and kick the workflow for pull_request instead.
Signed-off-by: Rohit Yadav <rohit.yadav@shapeblue.com>
Due to github push events and restrictive github action access, the
statement is changed without tagging the author with the assumption
that the PR author is subscribed to the PR events and should get a
notification and/or email.
Signed-off-by: Rohit Yadav <rohit.yadav@shapeblue.com>
This enables jacoco, which didn't run before with the -P quality due to
missing passing of jacoco arg line to surefire plugin.
This also adds support for jacoco/quality builds using Github action and
posting of the PR coverage data using a new action step.
Signed-off-by: Rohit Yadav <rohit.yadav@shapeblue.com>
This fixes the comment message for merge conflict checker and resets the
github branch protection for main in case of need by the RM.
Signed-off-by: Rohit Yadav <rohit.yadav@shapeblue.com>
Abhishek Kumar
Rohit Yadav
Vishesh
John Bampton
kishankavala
Bryan Lima
StepSecurity Bot
Wei Zhou
dahn
Alex
Harikrishna
neilnaveen