You might start off by using it in the office, log off, and then log back on from home, and your applications and are maintained – ensuring a consistent workflow. The benefit of using this type of architecture is that you are provided with a consistent desktop that you can access from anywhere. It is similar to software such as remote desktop services, only in this case hosted by AWS. It is ideal for remote work or if you need to provide staff access to a cloud desktop environment within the office. You pay for a dedicated virtual window or Linux desktop delivered as a managed service. When not working, he enjoys being in the sky and flying with different types of planes such as gliders, para-gliders and small planes.AWS Workspaces is a DaaS (Desktop as a Service) product from Amazon Web Services. Mehrdad Montazeri is a Senior Software Developer with 6+ years experience in Cloud Desktop Visualization and lots of contribution from deep in protocols, platforms and development stacks to users interfaces and clients. Beyond the professional realm, Aamir finds joy in family moments and indulges in occasional off-road escapades on his LC-100 series, exploring the wonders of the Pacific Northwest. Guided by a customer-first approach, his work methodology sets a standard. Outside of work, Dave enjoys traveling and hiking with his wife and 3 kids.Īamir Khan, a seasoned Senior Technical Program Manager within the End User Computing Product team, boasts 12 years of industry expertise. For more information on CloudWatch dashboards, review the guide on using Amazon CloudWatch dashboards.ĭave Jaskie is a Senior AWS End User Compute Solutions Architect, bringing 15 years of experience in the end-user computing space. For more information on CloudWatch Logs, review the guide on Amazon CloudWatch Logs. These widgets can be further customized to provide additional insight into the user experience connecting to WorkSpaces. In this post, you created widgets to provide insight into WorkSpaces resource utilization CPU usage, memory consumption, and packet loss. Choose Rename graph (pencil icon) on the widget title and enter WorkSpaces data points over time, and choose Apply.Under Data sources types, select CloudWatch, choose Metrics for the Data type, and choose Data table for Widget type.In this step you will create a widget to show the CPU for each WorkSpace over time. Choose Rename graph (pencil icon) on the widget title and enter Average CPU by BundleId, and choose Apply.Ĭreate a Data table for CPU Utilization by each WorkSpace.In this step, you will create a dashboard showing the average CPU for WorkSpaces based on their bundleId. Choose Rename graph (pencil icon) on the widget title and enter Average CPU by instance type, and choose Apply.In this step, you will create a dashboard showing the average CPU grouped by instance type. Choose Rename graph (pencil icon) on the widget title and enter Top 10 WorkSpaces by packet loss rate, and choose Apply.For Metric name, select AVG then AVG(UDPPacketLossRate).In this step, you will create a dashboard showing the top 10 WorkSpaces based on packet loss rate. Choose Rename graph (pencil icon) on the widget title and enter Top 10 WorkSpaces by memory utilization, and choose Apply.For Metric name, select AVG then AVG(MemoryUsage). Open the WorkSpaceInformation Dashboard, choose + (Add Widget).In this step, you will create a dashboard showing the top 10 WorkSpaces based on memory utilization. Top 10 WorkSpaces Based on memory utilization Choose Rename graph (pencil icon) on the widget title and enter Top 10 WorkSpaces by CPU utilization, and choose Apply.For Order by, select AVG() then AVG(DESC).For Metric name, select AVG then AVG(CPUUsage).Under CloudWatch Metric Insights – query builder, for the Namespace enter AWS/WorkSpaces.Navigate to the Multi source query tab.Under Data sources types, select CloudWatch, choose Metrics for the Data type, and choose Bar for Widget type.For Dashboard name, enter WorkSpacesInformation.On the Custom dashboards tab, select Create dashboard.Choose Dashboards from the navigation menu.In this step, you will create a dashboard showing the top 10 WorkSpaces based on CPU utilization. Top 10 WorkSpaces based on CPU Utilization In this article, you will learn how to build 6 widgets in CloudWatch to gain additional insight into WorkSpace instance health.ĭ etailed cost information on CloudWatch can be found at: Amazon CloudWatch Pricing – Amazon Web Services (AWS) In a previous blog, we highlighted how to use CloudWatch to understand how users are connecting to WorkSpaces. In addition, they want to use these metrics with Amazon CloudWatch dimensions to dive into trends and compare WorkSpaces instances. Customers often ask how to gain additional insights into their Amazon WorkSpaces operating system resource utilization, such as CPU utilization and memory consumption.
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