Amazon Web Services (AWS) provides tools that help with application management, machine learning, end-user computing, and much more. Users that utilize AWS, more than likely, have a combination of the many services AWS offers. LogicMonitor consolidates data from these services and empowers users to monitor them side by side with the rest of their infrastructure, whether it’s in the Cloud or on-premises. Keep reading for tips on monitoring some of these services to ensure business continuity.
AWS Opsworks Stacks
Cloud-based computing usually involves many components, such as load balancer, application servers, databases, etc. AWS OpsWorks Stacks, the original service, provides a simple and flexible way to create and manage stacks and applications. AWS OpsWorks Stacks lets you deploy and monitor applications in your stacks. Through CloudWatch we can get aggregate metrics for a stack, which helps understand the overall health of the resources within the stack & prevent issues. The metrics collected can be broken down into:
- CPU Percentage
- Input/Output Operations
- Average Load
- 1 minute
- 5 minutes
- 15 minutes
- Total Active
A stack of the same resource is called a layer. For example, a layer represents a set of EC2 instances that serve a particular purpose, such as serving applications or hosting a database server. These layers can also be monitored within LogicMonitor. With LogicMontor’s robust coverage of AWS, you can also view the individual resource metrics of the layers through the out-of-the-box Datasources of the service.
AWS AppStream 2.0
Amazon AppStream 2.0 allows organizations to manage desktop applications and securely deliver them to any computer. This service helps users run programs that could be resource-intensive on underpowered machines. AppStream is similar to Citrix or Microsoft remote desktop. It becomes essential to monitor the capacity and utilization of the fleets. With a simple dashboard, you can track current and remaining capacity, along with capacity utilization. When an insufficient capacity error happens, LogicMonitor will automatically send an alert.
Customer service is as crucial as its ever been and people want fast and quality responses. Amazon Connect is an easy to use omnichannel cloud contact center that helps companies provide superior customer service at a lower cost. When utilizing this service, it is beneficial to track the following metrics: status of the service, the volume of calls, quota, and missed calls.
With out-of-the-box alerts for missed calls, misconfigured phone numbers, concurrent calls percentage, and recording upload errors, you can rest assured that you will be on top of any problematic situation.
AWS SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly. Users want to monitor this service alongside existing infrastructure to ensure uptime and performance across their entire complex infrastructure, particularly where SageMaker models are being used in production environments. SageMaker Endpoints are discovered as resources in LogicMonitor.
Each endpoint will have its own CPU, memory, and disk utilization metrics. All of which have predefined thresholds for automatic alerts and notifications. LogicMonitor tracks the total invoked HTTP requests and will alert if there are any 5XX errors. You can baseline the latency of the model and the SageMakers overhead. With these baselines, you can be on top of any changes when new models have been deployed or see the difference in latency when doing an A/B deployment.
We recently highlighted our commitment to our AWS partnership, and our developers keep cranking out new AWS monitoring integrations. Here are some previous blogs highlighting AWS analytics services and application development services. All of these new integrations are included with our LM Cloud offering. LogicMonitor will automatically start collecting these metrics if you are an LM Cloud customer and already utilizing any of these Amazon services.
If you have any questions regarding these new monitoring integrations, please reach out or contact your CSM for more information. Or you can try LogicMonitor for free.
Juan Carlos Reyes
Juan Carlos is a loud and proud member of the Fightin’ Texas Aggie Class of 2014. He has 4+ years of experience as a performance engineer working with APM tools such as Dynatrace and New Relic. In his free time, he enjoys going on long hikes and exploring national parks with his wife. If you know any fun and exciting board games, make sure to drop him a note since he loves trying new games. Thanks and Gig’em!
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