Guide to Google Cloud Management Pack

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Google Cloud Platform gives you options for computing and hosting your apps, websites, and storing and analyzing data on Google's scalable infrastructure. Google Cloud Platform not only allows you to access one of the largest networks in the world, but also offers a different set of services like Google App Engine, Google Container Engine, Google Compute Engine and Big Data Service.

Our “OMi Management Pack for Google Cloud (OMi MP for Google Cloud)” enables you to get better control of multiple interconnected systems and detect and remediate errors to significantly mitigate risks. It enables you to monitor the availability and performance of Google Cloud Platform resources like Google Compute Engine and the Google Cloud Projects associated with those instances.

To monitor Google Cloud Platform, you just need to have a managed node RHEL 7.x with Operations Agent (12.03 and above) running along with Google SDK (166.0) and Python (2.7.5). This proxy node will be used to monitor Google Cloud remotely, using the Google SDK. There is no need to install anything inside Google Cloud instances. To access your Google services, store the service key of your Google Service account on the managed node. Then with a simple configuration in OMi, you are ready to monitor the entire Google Cloud Platform. Just provide the gcloud path, python path, and service account key directory files path along with the proxy details and when deploying the “GoogleCloud Configuration” aspect on the managed node as shown here.

Google_Conf.jpg

Here are the monitoring features offered by OMi Management Pack for Google Cloud.

  1. Auto-detect Google Cloud Environment: The “GoogleCloud Discovery” Aspect when deployed on the managed node will discover all resources like the list of Projects along with the Compute Instances created under them. It also discovers the regions and locations where the compute instances are running along with the storage and the interfaces. The RTSM View “GoogleCloudGCEInstance_Deployment” enables you to visualize the topology of all the compute instances and “GoogleCloudGCEProject_Deployment” enables you to visualize the topology of projects that you want to monitor. The entire topology can be seen using RTSM View “GoogleCloudGCE_Topology”. Metadata that is set for the Instance and Project level are stored as Google MetaData and can be seen in the view shown below.

    Google_Topology.jpg

  2. Availability, Collection and IT Event Management: The OMi MP Pack for Google Cloud checks the availability of Google Cloud Compute Instances and collects metric data that allow you to quickly identify, analyze and resolve bottlenecks impacting the Google Cloud Compute Instances.
    Key Areas for Metric Collection include:
    a) Instance Metrics: “Google Compute Engine Instance Performance” Aspect provides an insight on the resource utilization like CPU, Disk, Network and Firewall at the individual host level.
    b) Project Metrics: “Google Compute Engine Project Usage” Aspect helps in tracking the resource consumption/growth over time.

    Below, you can see the OMi Event browser showing Network, Disk and CPU usage events from Google Cloud Compute Instances:

    Google_Event1.jpg

  3. Performance Dashboard: The OMi MP for Google Cloud pre-designed dashboard provides insight on the performance views. This includes the volume of data being written to/read from disk and prolonged periods of I/O throttling as well as other system metrics like I/O operations and CPU utilization. This information, can easily help you identify friction points in your infrastructure and applications. It also helps you analyze the historical performance trends of Google Cloud Compute Instances over a period of time. Administrators can use this information to proactively tune performance to improve resource efficiency and optimize the end-user experience.

    Google_PD2.jpg

  4. Monitor Google Cloud Activity Logs: Activity logs help you to track events that affect your project, such as Compute Instance API calls, Operation logs and System events. The “Google Compute Activity Log” Aspect when deployed lets you to capture the category of issues from the Activity logs and send events associated with the Google Cloud Project to OMi.

    Google_ActivityLog.jpg

If you are interested in more details, please download the Management Pack for Google Cloud with user documentation from our ITOM Marketplace.


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1 Comment
soumya
Not applicable

Very precise introduction to GC MP. Nice.

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