Before carrying out DevOps monitoring, technical support engineers need to choose the most appropriate cloud-based solution. In this course, you'll recognize the QoS parameters to monitor at each cloud platform layer and the prominent monitoring architectures used to monitor components across cloud layers. You'll then name some leading cloud monitoring platforms and critical tool selection criteria, before examining Azure, GCP, and AWS monitoring services.
Next, you'll configure the AWS CloudWatch Logs Agent on EC2 Linux instances and use AWS Systems Manager Quick Setup to configure Systems Manager's capabilities on these instances. You'll configure Cloud Trail to manage event logs and use Azure Monitor to monitor and collect metrics and activity logs. Lastly, you'll monitor AWS EC2 instances, Compute Engine virtual machine instances, and web servers using Google Cloud Monitoring.
describe the basic components, phases, and layers of application architecture in the cloud and list the QoS parameters that need to be monitored at each cloud platform layer
recall the prominent monitoring architectures that can be adopted to monitor components across cloud layers
describe the features of major cloud monitoring platforms along with their taxonomic classification
recall the key criteria that can be used to analyze monitoring tools in order to select full stack monitoring tools for cloud
identify the prominent AWS services and tools that can be used to monitor infrastructure, resources, and applications while also enabling governance, compliance, and operational and risk auditing of AWS accounts
specify the manual and automated monitoring tools provided by AWS that can help establish the appropriate standard of monitoring AWS EC2 instances
install and configure the AWS CloudWatch Logs Agent on EC2 Linux instances to collect logs from Amazon EC2 instances into CloudWatch Log
create and configure CloudTrail to manage logs for management, insight, data, and KMS events
work with the AWS Systems Manager Quick Setup to configure Systems Manager's capabilities on EC2 instances in order to manage and monitor the health of instances
describe the architecture of Azure Monitor and list the use cases that help DevOps Practitioners to effectively use this tool to maximize the availability and performance of applications and services
work with Azure Monitor to monitor and collect metrics and activity logs from host VMs in order to gain insight for fine tuning instances as per the architectural requirements
describe the Google Cloud Platform monitoring approach with a focus on monitoring workspaces, essential metrics, and time series and recognize the use of monitoring filters provided by GCP
create WorkSpaces for existing Google Cloud projects and outline steps to monitor AWS EC2 instances using Google Cloud Monitoring
monitor Compute Engine virtual machine instances and web servers using Google Cloud Monitoring via GCP