CloudOps Performance Tuning: Applying Performance Principles

CloudOps    |    Intermediate
  • 14 videos | 1h 13m 50s
  • Includes Assessment
  • Earns a Badge
Rating 4.0 of 5 users Rating 4.0 of 5 users (5)
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.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Identify common cloudops deployment performance problems and describe the systemic tuning approach that can help improve overall system performance
    Define the concept of a performance engineering approach and identify its phases that help ensure non-functional requirements are managed efficiently
    Outline a performance tuning roadmap that includes quantifying performance objectives, measuring performance metrics, locating system bottlenecks, and minimizing the impact of bottlenecks in traditional or legacy deployments
    Classify post-deployment performance diagnostic techniques for large-scale software systems deployed on-premises and in cloud environments
    Specify checklists that are productive in optimizing application performance and are deployed in data centers and the cloud
    Describe the functional and non-functional components and layers to consider when planning for application and infrastructure performance management
  • Outline the steps involved in configuring performance testing and the approach to analyzing test results using patterns of system behavior
    Recognize the key performance indicators and metrics that help build rois from cloud computing
    Describe the research methodology to decide the best cloud computing architecture model and services to run on it when implementing cloud computing service performance measurement
    Recognize the cloud service metric ecosystem, model characteristics, and prominent cloud service model uses cases that help identify gaps in hybrid and multi-cloud deployment architectures
    Specify how to measure the performance of private or hybrid clouds and describe the instrumentation architecture used to collect required performance and throughput metrics
    Recall the performance management challenges for cloud-hosted services and outline the recommended solution architecture
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 21s
  • 6m 29s
    In this video, you will learn how to identify common CloudOps deployment performance problems and how to improve overall system performance with a systemic tuning approach. FREE ACCESS
  • Locked
    3.  The Performance Engineering Approach
    5m 59s
    In this video, you will learn how to define the concept of a performance engineering approach and identify its phases that help ensure non-functional requirements are managed efficiently. FREE ACCESS
  • Locked
    4.  A Performance Tuning Roadmap
    6m 59s
    In this video, find out how to outline a performance tuning roadmap that includes quantifying performance objectives, measuring performance metrics, locating system bottlenecks, and minimizing the impact of bottlenecks in traditional or legacy deployments. FREE ACCESS
  • Locked
    5.  Post-deployment Performance Diagnostic Techniques
    5m
    During this video, you will learn how to classify post-deployment performance diagnostic techniques for large-scale software systems deployed on premises and in cloud environments. FREE ACCESS
  • Locked
    6.  Checklists to Optimize Application Performance
    6m 4s
    After completing this video, you will be able to specify checklists that are productive in optimizing application performance and that are deployed in data centers and the cloud. FREE ACCESS
  • Locked
    7.  Functional and Non-functional Layers and Components
    7m 27s
    After completing this video, you will be able to describe the functional and non-functional components and layers to consider when planning for application and infrastructure performance management. FREE ACCESS
  • Locked
    8.  Performance Testing Configuration Steps
    6m 31s
    In this video, you will learn how to outline the steps involved in configuring performance testing, and the approach to analyzing test results using patterns of system behavior. FREE ACCESS
  • Locked
    9.  Cloud Computing KPIs and Metrics
    4m 34s
    After completing this video, you will be able to recognize the key performance indicators and metrics that help build ROI from cloud computing. FREE ACCESS
  • Locked
    10.  Service Performance Measurement Research Methodology
    6m 3s
    Upon completion of this video, you will be able to describe the research methodology to decide the best cloud computing architecture model and services to run on it when implementing cloud computing service performance measurement. FREE ACCESS
  • Locked
    11.  The Cloud Service Metric Ecosystem
    5m 39s
    Upon completion of this video, you will be able to recognize the cloud service metric ecosystem, model characteristics, and prominent cloud service model uses cases that help identify gaps in hybrid and multi-cloud deployment architectures. FREE ACCESS
  • Locked
    12.  Private and Hybrid Cloud Performance Measurement
    3m 46s
    After completing this video, you will be able to specify how to measure the performance of private or hybrid clouds and describe the instrumentation architecture used to collect required performance and throughput metrics. FREE ACCESS
  • Locked
    13.  Performance Management Challenges
    5m 59s
    After completing this video, you will be able to recall the performance management challenges for cloud-hosted services and outline the recommended solution architecture. FREE ACCESS
  • Locked
    14.  Course Summary
    1m 58s

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