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Azure CycleCloud supports monitoring of external services through its pluggable architecture. Administrators can enable automatic monitoring of these systems by going to the Settings page under the user menu in the top right corner of the web interface, double-clicking the CycleCloud settings item, and checking the box labeled Enable monitoring for CycleCloud services.
When you enable this option, supported services in each cluster automatically register with CycleCloud, which configures monitoring for that service.
Supported services
Every version of CycleCloud ships with Ganglia monitoring support for collecting
performance metrics such as CPU/memory/bandwidth usage. If your cluster is
configured to use Ganglia (the default in most cases), automatic monitoring
works as long as port 8652 is open between CycleCloud and the cluster's
primary node (the one running the gmetad service).
Ganglia on CentOS/RHEL
EPEL provides Ganglia on CentOS and RHEL. Azure CycleCloud configures and installs EPEL and the Ganglia dependencies by default.
To opt out of using EPEL, set cyclecloud.install_epel = false in a cluster
template. Opting out of EPEL skips Ganglia monitoring setup. This change doesn't affect the computational
functionality of your compute cluster, but it foregoes data that the reports
view of your cluster collects.
For informational purposes, here are the "client" dependencies installed on execute cluster nodes, and the "server" dependencies installed on primary cluster nodes.
# Ganglia client dependencies from CentOS/RHEL base
yum -y install apr bash expat glibc pcre python python-libs systemd zlib
# Ganglia client dependencies provided by EPEL
yum -y install ganglia ganglia-gmond ganglia-gmond-python libconfuse
# Ganglia server dependencies from CentOS/RHEL base
yum -y install apr bash expat glibc libmemcached pcre rrdtool systemd zlib
# Ganglia server dependencies provided by EPEL
yum -y install ganglia ganglia-gmetad libconfuse
If you run the Grid Scheduling Edition of CycleCloud, Grid Engine
monitoring is automatically configured when you start a Grid Engine cluster. The only requirement is that CycleCloud can SSH to the node running the
qmaster service with the keypair configured for the cluster.
Azure Monitor
Starting with CycleCloud 8.0, metrics for a cluster are pulled from Azure Monitor instead of Ganglia. This change removes the need to open port 8652 inbound on nodes.
Note
Even clusters that use version 7 with Ganglia preinstalled get their metrics from Azure Monitor in CycleCloud 8.
The collected metrics are:
- Percentage CPU
- Disk Read Bytes
- Disk Write Bytes
- Network In
- Network Out
You can also store log data from CycleCloud clusters to Log Analytics and create custom metrics dashboards. For more information on creating custom metrics dashboards from Log Analytics for your clusters, see the How-to section and the tutorials in the Azure Monitor documentation.