AI Monitoring & Observability for DevOps

Artificial Intelligence, DevOps    |    Intermediate
  • 22 videos | 2h 13m 27s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
To build robust, secure, and performant systems it is necessary to be able to monitor and observe the entire DevOps lifecycle. Such monitoring can generate significant amounts of data and AI tools can be game changers for identifying issues, tracking down the root cause of problems, and some tools can even provide real-time metrics or predict future failures based on collected data. In this course, you will learn about monitoring and observability tools that incorporate elements of AI and the benefits that such tools can provide to the DevOps process.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe the benefits of using ai monitoring for anomaly detection
    Identify the features and functions of ai monitoring that allows it to be proactive and predictive
    Define incident response and describe how it can be enhanced using ai-powered monitoring tools
    Describe how ai monitoring can be used to help with root cause analysis
    Provide an overview of how ai monitoring and observation tools can gather insights to alert and help troubleshoot
    Identify the features of ai monitoring tools that allow ai to optimize resource utilization
    Evaluate and address the challenges of integrating ai-powered monitoring tools
    Compare the features and capabilities of different ai-powered application programming interface (api) performance monitoring tools
    Work with the predictive ai features of dynatrace davis
    Install and configure a datadog agent on a system for monitoring and observability
  • Access appdynamics software as a service (saas) and work with the platform
    Install and configure an appdynamics agent and use it to monitor the target device
    Introduce features and functionalities of the tabnine visual studio (vs) code extension
    Describe the logrocket web and mobile application monitoring tool
    Use the logrocket sandbox to monitor application usage and issues
    Describe how appdynamics can be used for apm
    Trace and collect performance metrics by instrumenting an application with datadog ddtrace
    Describe the components for prometheus and grafana
    Configure prometheus to monitor performance
    Grafana to use a prometheus data source for monitoring performance
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 39s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 8m
    Upon completion of this video, you will be able to describe the benefits of using AI monitoring for anomaly detection. FREE ACCESS
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    3.  Prediction and Proactive AI Insights
    6m 6s
    In this video, we will identify the features and functions of AI monitoring that allows it to be proactive and predictive. FREE ACCESS
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    4.  AI-powered Incident Response
    6m 54s
    After completing this video, you will be able to define incident response and describe how it can be enhanced using AI-powered monitoring tools. FREE ACCESS
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    5.  AI-powered Root Cause Analysis
    6m 57s
    Upon completion of this video, you will be able to describe how AI monitoring can be used to help with root cause analysis. FREE ACCESS
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    6.  AI-powered Alerting and Troubleshooting
    7m 5s
    In this video, we will provide an overview of how AI monitoring and observation tools can gather insights to alert and help troubleshoot. FREE ACCESS
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    7.  AI-powered Resource Optimization
    6m 24s
    After completing this video, you will be able to identify the features of AI monitoring tools that allow AI to optimize resource utilization. FREE ACCESS
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    8.  Challenges of AI-powered Monitoring
    4m 41s
    Discover how to evaluate and address the challenges of integrating AI-powered monitoring tools. FREE ACCESS
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    9.  Comparison of API Performance Monitoring Tools
    6m 26s
    In this video, we will compare the features and capabilities of different AI-powered application programming interface (API) performance monitoring tools. FREE ACCESS
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    10.  Working with Dynatrace Predictive AI
    4m 23s
    During this video, discover how to work with the predictive AI features of Dynatrace Davis. FREE ACCESS
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    11.  Monitoring Systems with Datadog
    7m 38s
    Find out how to install and configure a Datadog agent on a system for monitoring and observability. FREE ACCESS
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    12.  Accessing AppDynamics Software as a Service (SaaS)
    4m 20s
    In this video, learn how to access AppDynamics Software as a Service (SaaS) and work with the platform. FREE ACCESS
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    13.  Monitoring Application Performance with AppDynamics
    7m 31s
    Upon completion of this video, you will be able to install and configure an AppDynamics Agent and use it to monitor the target device. FREE ACCESS
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    14.  Using Tabnine Visual Studio Code Extension
    6m 3s
    In this video, we will introduce features and functionalities of the Tabnine visual studio (VS) Code extension. FREE ACCESS
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    15.  Monitor with LogRocket
    5m 31s
    Upon completion of this video, you will be able to describe the LogRocket web and mobile application monitoring tool. FREE ACCESS
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    16.  Experimenting with the LogRocket Sandbox
    8m 23s
    During this video, discover how to use the LogRocket sandbox to monitor application usage and issues. FREE ACCESS
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    17.  AI-based Application Performance Monitoring (APM)
    5m 35s
    In this video, we will describe how AppDynamics can be used for APM. FREE ACCESS
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    18.  Using Datadog APM for Visibility into Applications
    8m 26s
    After completing this video, you will be able to trace and collect performance metrics by instrumenting an application with Datadog ddtrace. FREE ACCESS
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    19.  Monitor with Prometheus and Grafana
    7m 33s
    In this video, we will describe the components for Prometheus and Grafana. FREE ACCESS
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    20.  Configuring Prometheus for Performance Monitoring
    7m 44s
    In this video, find out how to configure Prometheus to monitor performance. FREE ACCESS
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    21.  Configuring Grafana to Use Prometheus Data
    5m 53s
    Discover how to Grafana to use a Prometheus data source for monitoring performance. FREE ACCESS
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    22.  Course Summary
    1m 18s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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