Unlock the full potential of the EFK Stack (Elasticsearch, Fluent Bit, and Kibana) with this comprehensive course, designed for developers, system administrators, and DevOps professionals. Gain hands-on experience and deep knowledge to implement and optimize an end-to-end logging and monitoring solution. This course guides you through each component of the EFK stack and shows you how to deploy these technologies in a Kubernetes environment.
This course comes with detailed demonstrations, Quizes, and hands-on labs.
1. What Is Logging and Elasticsearch:
2. Mastering Elasticsearch Fundamentals:
3. Understanding Kibana:
4. Fluent Bit:
5. Elasticsearch and Kibana Deployment on Kubernetes:
6. Deploying Mock Ecommerce Application on Kubernetes:
7. Instrumenting a Simple Python Application for Logging:
8. Elastic Cloud:
Embark on this journey to become proficient in the EFK Stack and elevate your capability to maintain high-performing, reliable applications.
Raghunandana Krishnamurthy is a seasoned Staff Data Engineer and MLOps expert, skilled in navigating both GCP and AWS cloud platforms to accelerate model development and deployment. His experience spans modernizing legacy data systems, architecting hybrid infrastructures, and ensuring data quality for diverse applications. He used to hold Associate AWS Solution Architect certification, Cloudera Hadoop Admin certification, Airflow certification, and Databricks Lakehouse certification
A technical leader and passionate trainer, Raghunandana excels at building and maintaining big data platforms, championing DevOps best practices, and fostering team alignment. With hands-on expertise in tools like SageMaker, VertexAI, Prometheus, Grafana, and extensive DevOps tools focusing on Data Engineering and MLOps.