EFK Mastery: Scaling Kubernetes Logging with Hands-on Labs

Get one of our best deals with Coursera Plus for $199 (usually $399). Save now.

EFK Mastery: Scaling Kubernetes Logging with Hands-on Labs

Instructor: Mumshad Mannambeth

Included with

Learn more

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Kubernetes Orchestration:

Skills you'll gain

Tools you'll learn

Kubernetes

Details to know

Shareable certificate

Add to your LinkedIn profile

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

There are 4 modules in this course

Take your skills to the next level with Mastering the EFK Stack. This course shifts focus from individual components to complex, real-world deployments. Designed for DevOps professionals, this training emphasizes scalability, container orchestration, and cloud-native strategies to ensure your applications remain high-performing and reliable.

What You Will Learn: Kubernetes Orchestration: Master the deployment of Elasticsearch and Kibana within Kubernetes clusters to create resilient, scalable logging environments. Real-World Application: Deploy a mock eCommerce application on Kubernetes to practice monitoring and troubleshooting in a live scenario. Application Instrumentation: Gain hands-on experience instrumenting a Python application to generate structured logs for deep visibility into software behavior. Elastic Cloud: Explore the power of managed services to deploy, scale, and maintain your stack effortlessly in the cloud. Target Learners: This mastery course is tailored for mid-to-senior engineers and enterprise architects who need to design, secure, and scale high-throughput streaming systems. It is ideal for professionals tasked with migrating to KRaft, building cloud-native data pipelines, and implementing production-ready fault tolerance.

Move from concepts to platform implementation by deploying Elasticsearch and Kibana on Kubernetes. This module covers cluster deployment, Kibana access, scaling strategies, and production-minded security considerations so you can run the stack reliably in containerized environments.

What's included

7 videos2 readings2 assignments

7 videosTotal 29 minutes

Course Introduction2 minutes
Deploying Elasticsearch as a Cluster within Kubernetes2 minutes
Demo: Deploy Elasticsearch on Kubernetes5 minutes
Demo: Deployments for Kibana instances5 minutes
Demo: Scaling Elasticsearch and Kibana5 minutes
Security Considerations for Production Kubernetes Deployment5 minutes
Scaling Elasticsearch Nodes5 minutes

2 readingsTotal 20 minutes

Hands on Lab: Deploy Elasticsearch on Kubernetes10 minutes
Hands on Lab: Deploy Kibana on Kubernetes10 minutes

2 assignmentsTotal 60 minutes

Elasticsearch and Kibana Deployment on Kubernetes30 minutes
Quiz 130 minutes

Apply the EFK stack to a realistic sample workload by deploying a mock ecommerce application on Kubernetes and routing its logs into the observability pipeline. You will inspect logs in Kibana, query them with KQL, and create dashboards that surface operational signals.

What's included

7 videos1 reading2 assignments

7 videosTotal 24 minutes

Demo: Deploying Mock Ecommerce Application on K8s1 minute
Demo: Setting up Event Generator App4 minutes
Demo: Setting up Fluentbit to Monitor Application Logs5 minutes
Demo: Exploring Application Logs in Kibana4 minutes
Demo: Dashboarding with KQL in Kibana Part-13 minutes
Demo: Dashboarding with KQL in Kibana Part-24 minutes
Demo: Conditional Appearance on Kibana Dashboards3 minutes

1 readingTotal 10 minutes

Hands on Lab: Deploying mock ecommerce application on K810 minutes

2 assignmentsTotal 60 minutes

Deploying mock ecommerce application on K830 minutes
Quiz 230 minutes

Go beyond infrastructure logs by instrumenting an application for richer, more useful observability. In this module, you will add logging to a Python app, deploy it on Kubernetes, collect its logs with Fluent Bit, and build multi-step Kibana dashboards to visualize application behavior.

What's included

10 videos1 reading2 assignments

10 videosTotal 41 minutes

Demo: Instrumenting a Simple Python Application for Logging2 minutes
Demo: Deploying and Validating the Login App on Kubernetes Part-14 minutes
Demo: Deploying and Validating the Login App on Kubernetes Part-25 minutes
Demo: Configuring Fluent Bit to Collect Python Application Logs4 minutes
Demo: Building Kibana Dashboards to Visualize Our Application - Part 14 minutes
Demo: Building Kibana Dashboards to Visualize Our Application - Part 24 minutes
Demo: Building Kibana Dashboards to Visualize Our Application - Part 36 minutes
Building Kibana Dashboards to Visualize Our Application - Part 43 minutes
Building Kibana Dashboards to Visualize Our Application - Part 54 minutes
Building Kibana Dashboards to Visualize Our Application - Part 65 minutes

1 readingTotal 10 minutes

Hands on Lab: Deploying Login App application on K8 and Kibana on Kubernetes10 minutes

2 assignmentsTotal 60 minutes

Instrumenting a Simple Python App for Logging30 minutes
Quiz 330 minutes

Conclude the course by exploring Elastic Cloud as a managed alternative for observability. You will set up an account, connect Kubernetes monitoring with Elastic Agent, and understand how managed Elastic services can simplify operations while still providing strong visibility into cluster behavior.

What's included

3 videos1 reading3 assignments

3 videosTotal 13 minutes

Elastic Cloud and its Offering4 minutes
Demo: Setting up Free Elastic Cloud Account3 minutes
Demo: Monitoring Kubernetes Cluster using in Elastic Agent6 minutes

1 readingTotal 10 minutes

Hands on Lab: Setting up Kubernetes monitoring in ElasticCloud10 minutes

3 assignmentsTotal 90 minutes

ElasticCloud30 minutes
EFK Mastery: Scaling Kubernetes Logging30 minutes
Quiz 430 minutes

Instructor

Mumshad Mannambeth

KodeKloud

12 Courses38,414 learners

Offered by

KodeKloud

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.