PAC | Centralized Logging And Monitoring With Kubernetes (2019 EN)

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  1. Kanka

    Kanka Well-Known Member Loyal User

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    Company: Packt Publishing
    Author: Walter Dolce
    Full Title: Centralized Logging And Monitoring With Kubernetes
    Year: 2019
    Language: English
    Genre: Educational: Cloud Computing
    Skill Level: -
    Price: €124.99
    -
    Files: MP4 (+ Code Files)
    Time: 00:49:00
    Video: AVC, 1920 x 1080 (1.778) at 30.000 fps, 350 kbps
    Audio: AAC at 159 Kbps, 2 channels, 48.0 KHz



    Hands-on guide to logging and monitoring containers at scale.

    Kubernetes is an open source platform designed to automate deployment, scaling, and operation of application containers. Kubernetes automates various aspects of application development, which is extremely beneficial for enterprises. Centralized logging is crucial for any production-grade infrastructure, especially in a containerized architecture. Since Kubernetes is dynamic and does not store change logs except the recent changes, logging and monitoring is highly imperative for saving pod logs.

    In this course, you’ll learn to analyze and locate critical pod log files in your Kubernetes clusters. You’ll create a centralized logging system with a configured EFK (Elasticsearch, Fluentd, and Kibana) stack for Kubernetes. Using a hands-on approach, you’ll follow the entire logging and monitoring process, which actually goes hand-in-hand. In your Kubernetes cluster, you’ll find out that your clusters are working with too many containers and it’s difficult to keep track of each of them.

    You’ll learn how to build your centralized logging and send data for monitoring. To set up centralized logging, you’ll establish one logging agent per Kubernetes node to collect all logs of all running containers from disk and transmit them to Elasticsearch. You’ll search for log data, monitor the containers, and also collect metrics using Kibana. You’ll decide how your final log data will be presented. By the end of the course, you’ll be able to use centralized logging and monitoring techniques for debugging purposes to find out reasons for crashes, and trigger alerts if there is a spike in error messages (which can be more efficient than a system health check).


    Learn:
    ✓ Discover what Elasticsearch, Fluentd, and Kibana are (aka the EFK stack)
    ✓ See how to implement a centralized monitoring and logging platform with these technologies
    ✓ Discover what Kubernetes is and how to create a Kubernetes cluster in GCP for modern, containerized applications
    ✓ Deploy applications from Kubernetes to the cloud
    ✓ Scale the number of applications running in Kubernetes
    ✓ Install and configure monitoring and logging agents on the Kubernetes nodes
    ✓ Create powerful visualizations for metrics stored Kibana
    ✓ Effectively and efficiently analyze logs stored in Kibana

    Features:
    ✓ This video course provides a comprehensive overview of the EFK stack, along with practical advice on how to implement it to observe applications running in Kubernetes
    ✓ Learn how to ship Kubernetes metrics and logs to a centrally managed monitoring and logging platform
    ✓ Gain the knowledge to create powerful and meaningful dashboards in Kibana, and bring application metrics and logs to the surface for developers and stakeholders to visualize more clearly
    ✓ Ultimately, you will learn how to analyze and search through logs stored in Kibana to more effectively debug and troubleshoot applications when problems occur


    Lessons:
    1. A Centralized Monitoring and Logging Solution for Containerized Applications
    01. The Course Overview
    02. Introduction to Centralized Monitoring and Logging with EFK
    03. Overview of Elasticsearch
    04. Overview of Fluentd
    05. Overview of Kibana
    06. Step-By-Step Guide to Implementing the EFK Stack
    2. Monitoring and Logging with Kubernetes in Practice
    07. Creating the Kubernetes Cluster in Google Cloud Platform
    08. Sending Kubernetes Cluster Metrics to EFK
    09. Kubernetes Cluster Observability in Detail
    3. Running, Scaling, and Observing Containerized Applications
    10. Running Containerized Workloads on Kubernetes
    11. Sending and Analyzing Application Logs to EFK
    12. Application Monitoring and Logging at Scale
    4. Debugging and Troubleshooting Applications with Kibana
    13. Creating Kubernetes Monitoring Dashboards in Kibana
    14. Creating Application Monitoring Dashboards in Kibana
    15. Leveraging Kibana to Debug and Troubleshoot Application Issues


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