Course: CloudOps Performance Tuning

When designing solutions, CloudOps practitioners need to mitigate typical performance issues. In this course, you'll explore some common performance problems and the systemic tuning approach to improving performance.

You'll examine what comprises a performance engineering approach before outlining a practical performance tuning roadmap. Next, you'll identify post-deployment performance diagnostic techniques for large-scale software systems, essential steps when optimizing application performance, and functional and non-functional components and layers to consider when planning performance management.

Moving on, you'll outline the steps involved in configuring performance testing and identify critical cloud computing KPIs and metrics. You'll investigate use cases that help identify gaps in hybrid and multi-cloud deployment architectures. You'll examine performance management challenges and recommended solution architecture for cloud-hosted services. Lastly, you'll outline how to measure private and hybrid cloud performance.

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.

Managing the performance of cloud deployments extends to managing multi, hybrid, and multi/hybrid distributed cloud infrastructures. In this course, you'll explore the challenges, goals, and strategies for performance optimization in these environments.

You'll start by identifying desired characteristics for successful and robust hybrid or multi-cloud designs. Next, you'll outline how to create a multi-cloud performance optimization strategy and monitor hybrid and multi-cloud distributed infrastructures. You'll then identify common multi-cloud performance challenges and associated solutions.

Furthermore, you'll investigate prominent use cases of multi-cloud networking, recommended solutions to resolve multi-cloud network configuration issues, and the different non-functional tests available to determine a multi-cloud performance benchmark. You'll examine significant business and service continuity performance tuning tasks. Lastly, you'll outline how to tune multi-cloud integrator components to resolve connectivity issues between two participating clouds.