Centralized Logging and Monitoring with Kubernetes
Course
Online
Description
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Type
Course
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Methodology
Online
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Start date
Different dates available
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).About the Author
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Walter Dolce is a Software and Platform Engineer based in London, United Kingdom. He has worked for both small and medium-sized businesses as well as large enterprises such as the BBC and Just Eat
Facilities
Location
Start date
Start date
About this course
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
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Subjects
- Monitoring
- Benefits
- Install
Course programme
- Describe the benefits of centralized monitoring and logging
- Describe the EFK stack and how it fits with the centralized M&L solution
- Describe how data will flow from the Kubernetes cluster to the EFK stack
- Describe where Elasticsearch comes from, who built it, and when
- Describe Elasticsearch features, where it’s used, and why
- Describe where Fluentd comes from, who built it, and when
- Describe Fluentd features, where it is used, and why
- Describe where Kibana comes from, who built it, and when
- Describe Kibana features, where it is used, and why
- Start from creating the initial empty VMs/resources
- Install Elasticsearch, Fluentd, and Kibana
- Send some data to Elasticsearch and briefly visualize it in Kibana
- Describe the benefits of centralized monitoring and logging
- Describe the EFK stack and how it fits with the centralized M&L solution
- Describe how data will flow from the Kubernetes cluster to the EFK stack
- Describe where Elasticsearch comes from, who built it, and when
- Describe Elasticsearch features, where it’s used, and why
- Describe where Fluentd comes from, who built it, and when
- Describe Fluentd features, where it is used, and why
- Describe where Kibana comes from, who built it, and when
- Describe Kibana features, where it is used, and why
- Start from creating the initial empty VMs/resources
- Install Elasticsearch, Fluentd, and Kibana
- Send some data to Elasticsearch and briefly visualize it in Kibana
- Describe the benefits of centralized monitoring and logging
- Describe the EFK stack and how it fits with the centralized M&L solution
- Describe how data will flow from the Kubernetes cluster to the EFK stack
- Describe the benefits of centralized monitoring and logging
- Describe the EFK stack and how it fits with the centralized M&L solution
- Describe how data will flow from the Kubernetes cluster to the EFK stack
- Describe the benefits of centralized monitoring and logging
- Describe the EFK stack and how it fits with the centralized M&L solution
- Describe how data will flow from the Kubernetes cluster to the EFK stack
- Describe the benefits of centralized monitoring and logging
- Describe the EFK stack and how it fits with the centralized M&L solution
- Describe how data will flow from the Kubernetes cluster to the EFK stack
- Describe the benefits of centralized monitoring and logging
- Describe the EFK stack and how it fits with the centralized M&L solution
- Describe how data will flow from the Kubernetes cluster to the EFK stack
- Describe the benefits of centralized monitoring and logging
- Describe the EFK stack and how it fits with the centralized M&L solution
- Describe how data will flow from the Kubernetes cluster to the EFK stack
- Describe where Elasticsearch comes from, who built it, and when
- Describe Elasticsearch features, where it’s used, and why
- Describe where Elasticsearch comes from, who built it, and when
- Describe Elasticsearch features, where it’s used, and why
- Describe where Elasticsearch comes from, who built it, and when
- Describe Elasticsearch features, where it’s used, and why
- Describe where Elasticsearch comes from, who built it, and when
- Describe Elasticsearch features, where it’s used, and why
- Describe where Elasticsearch comes from, who built it, and when
- Describe Elasticsearch features, where it’s used, and why
- Describe where Elasticsearch comes from, who built it, and when
- Describe Elasticsearch features, where it’s used, and why
- Describe where Fluentd comes from, who built it, and when
- Describe Fluentd features, where it is used, and why
- Describe where Fluentd comes from, who built it, and when
- Describe Fluentd features, where it is used, and why
- Describe where Fluentd comes from, who built it, and when
- Describe Fluentd features, where it is used, and why
- Describe where Fluentd comes from, who built it, and when
- Describe Fluentd features, where it is used, and why
- Describe where Fluentd comes from, who built it, and when
- Describe Fluentd features, where it is used, and why
- Describe where Fluentd comes from, who built it, and when
- Describe Fluentd features, where it is used, and why
- Describe where Kibana comes from, who built it, and when
- Describe Kibana features, where it is used, and why
- Describe where Kibana comes from, who built it, and when
- Describe Kibana features, where it is used, and why
- Describe where Kibana comes from, who built it, and when
- Describe Kibana features, where it is used, and why
- Describe where Kibana comes from, who built it, and when
- Describe Kibana features, where it is used, and why
- Describe where Kibana comes from, who built it, and when
- Describe Kibana features, where it is used, and why
- Describe where Kibana comes from, who built it, and when
- Describe Kibana features, where it is used, and why
- Start from creating the initial empty VMs/resources
- Install Elasticsearch, Fluentd, and Kibana
- Send some data to Elasticsearch and briefly visualize it in Kibana
- Start from creating the initial empty VMs/resources
- Install Elasticsearch, Fluentd, and Kibana
- Send some data to Elasticsearch and briefly visualize it in Kibana
- Start from creating the initial empty VMs/resources
- Install Elasticsearch, Fluentd, and Kibana
- Send some data to Elasticsearch and briefly visualize it in Kibana
- Start from creating the initial empty VMs/resources
- Install Elasticsearch, Fluentd, and Kibana
- Send some data to Elasticsearch and briefly visualize it in Kibana
- Start from creating the initial empty VMs/resources
- Install Elasticsearch, Fluentd, and Kibana
- Send some data to Elasticsearch and briefly visualize it in Kibana
- Start from creating the initial empty VMs/resources
- Install Elasticsearch, Fluentd, and Kibana
- Send some data to Elasticsearch and briefly visualize it in Kibana
- Demonstrate how to create a Kubernetes cluster in GCP from the console
- Configure Kubernetes to send metrics to the EFK stack
- Visualize the collected metrics within Kibana
- Describe the various types of metrics collected from Kubernetes
- Demonstrate how to create a Kubernetes cluster in GCP from the console
- Configure Kubernetes to send metrics to the EFK stack
- Visualize the collected metrics within Kibana
- Describe the various types of metrics collected from Kubernetes
- Create a Kibana dashboard showing application metrics
Additional information
Centralized Logging and Monitoring with Kubernetes