Virtualization (19.2) Network virtualization combines both hardware and software network resources. Network virtualization comes in many forms and new types of virtualization are being developed. Advantages of Virtualization (19.2.1) One major advantage of virtualization is overall reduced cost: • Less equipment is required – Virtualization enables server consolidation, which requires fewer physical devices and lowers…
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Cloud Services – 100-150 Exam Guide
Cloud Services (19.1.3) Cloud services are available in a variety of options, tailored to meet customer requirements. The three main cloud computing services defined by the National Institute of Standards and Technology (NIST) in their Special Publication 800-145 are as follows: • Software as a Service (SaaS) – The cloud provider is responsible for access…
Cloud and Virtualization – 100-150 Exam Guide
Objectives Upon completion of this chapter, you will be able to answer the following questions: • What are the characteristics of clouds and cloud services? • What is the purpose and the characteristics of virtualization? Key Terms This chapter uses the following key terms. You can find the definitions in the Glossary. Cloud computing Community…
Viewing and filtering logs in Cloud Logging
We already had a sneak peek into Cloud Logging when we built log-based metrics in the Cloud Monitoring section. Now, it’s time to explain how to view logs with Logs Explorer. The upper section of Logs Explorer includes a Query pane with a time-range selector, an editor to build queries, a filter to narrow down…
Cloud Logging – Google Cloud Engineer Exam Guide
Cloud Logging is a comprehensive solution for managing logs generated by your applications, the platform they run on, and the underlying infrastructure, whether it’s on Google Cloud, other cloud providers, or on-premises systems. This fully managed service allows you to easily store, search, analyze, monitor, and receive alerts on logging data and events from all…
Log-based metrics – Google Cloud Engineer Exam Guide
With log-based metrics, you can configure metrics based on log entries from Cloud Logging (this service will be the subject of the next section) without any additional instrumentation. For example, if you want to monitor a specific behavior of your application and you know how this behavior is represented in logs, there is no need…
Creating and ingesting Cloud Monitoring custom metrics
In addition to monitoring native GCP services and operating systems of your VMs (via Ops Agent), Cloud Monitoring provides you with options to closely monitor your applications. If your application runs on a Compute Engine VM and is listed as a supported third-party application in the Google Cloud Monitoring documentation (https://cloud.google.com/monitoring/agent/ops-agent/third-party), you can leverage Ops…
Creating Cloud Monitoring alerts based on resource metrics
Monitoring dashboards alone, even the most sophisticated ones, wouldn’t be enough for system administrators as they would have to monitor them 24/7 looking for various anomalies. That is why Google Cloud Monitoring provides alerting capabilities for the following use cases:• User notifications – Used to notify admins when metrics exceed a certain threshold or when…
Monitoring, Logging, and Estimating Costs in GCP-2
You can also use built-in charts and out-of-the-box metrics to build customized views to have all the services that build your application in one dashboard. In the Dashboards overview, select + CREATE DASHBOARD, provide its name, and as a next step, drag and drop a metric you need and rearrange or resize it to fit…
Monitoring, Logging, and Estimating Costs in GCP-1
At first look, the observability services don’t appear to be the most critical topic. It is possible to run workloads without monitoring them. But soon, after you start deploying services at scale, you will look for a monitoring service to optimize or plan the usage of Google Cloud resources. You will want to investigate logs…