Managing the performance of cloud-hosted services doesn't come without challenges. Luckily, there are tools to help you monitor, measure, and improve performance.
You'll start this course by exploring common performance management challenges and solutions. You'll then examine parameters to track IT infrastructure and application performance, differentiate between performance and scalability, and identify key metrics to monitor virtualized environments.
Next, you'll look in-depth at the purpose of various tools and services, such as the purpose of the five pillars of the AWS framework, how to improve infrastructure resources on Google Cloud Platform, and the role of IBM Cloud Application Performance Management in increasing cloud efficient.
You'll also work with CloudWatch Agent, AWS Compute services, Amazon QuickSight, and Application Insight to increase performance efficiency and visibility and troubleshoot issues. Finally, you'll outline how to ensure applications are more scalable, resilient, and manageable in Azure.
CloudOps Performance Tuning: Tuning Cloud Performance for Deployment
discover the key concepts covered in this course
describe the performance management challenges for cloud-hosted services from the perspective of cloud consumers and cloud service providers
list the prominent cloud monitoring and performance management tools and describe the role of application performance management in CloudOps in improving performance of applications deployed in hybrid and multi-cloud environments
recognize the common cloud infrastructure parameters that help determine the performance of IT infrastructures and applications running on top of cloud infrastructures
compare performance and scalability and describe the approaches to measuring, identifying, and then optimizing problems
define the key virtualization metrics and describe the impact of virtualization on performance management with a focus on monitoring applications in virtualized environments
describe the five pillars of the AWS framework along with the patterns to implement them while architecting technology solutions to realize expected performance
illustrate the steps involved in installing CloudWatch Agent to collect memory utilization and analyze how that new data point can help during EC2 right-sizing
set up an Amazon QuickSight account and illustrate efficiency through visualizations
evaluate the compute options provided by AWS that help select the optimal compute choice for particular workloads
describe the critical cloud application scenarios that show how development teams use load tests and metrics to diagnose performance issues with Azure cloud
recall the design principles that can help make applications more scalable, resilient, and manageable in Azure
use Azure Monitor to depict performance aspects and provide a view of all monitored VMs deployed across workgroups in the subscription or environment
set up Application Insight to automatically detect performance anomalies and diagnose performance issues
state the best practices and solutions that can help improve the performances of compute VMs, storage, networks, databases, and applications on Google Cloud Platform (GCP)
recognize the role of IBM Cloud Application Performance Management in helping increase the efficiency of cloud and deriving the desired performance
recall the practices that can help recognize, minimize, and prevent trouble in situations that apply to the cloud
troubleshoot unreachability and connectivity issues associated with EC2 instances