Elastic Stack Mastery: Elasticsearch, Logstash, Kibana, and AWS Deployment
Learning Path | 5 Course Series

Synopsis

Description

This comprehensive course is crafted to furnish learners with the essential skills and profound knowledge required to master the Elastic Stack, encompassing Elasticsearch, Logstash, Kibana, and AWS Elastic Beanstalk. Through a blend of theoretical discourse, hands-on projects, and real-world case studies, participants will delve deep into understanding how to wield these potent tools across diverse scenarios, ranging from log analysis to data visualization and application deployment on AWS. The journey begins with an in-depth exploration of Elasticsearch, unraveling its foundational concepts, data structures, and indexing methodologies. Participants will grasp fundamental techniques for optimizing Elasticsearch performance and uncover best practices for structuring and querying related data, laying a robust groundwork for subsequent modules.

Elasticsearch Elastic Relations (3h 38m): This segment initiates participants into the world of Elasticsearch, offering a comprehensive understanding of its fundamental concepts and functionalities. Learners delve into Elasticsearch's key features, data structures, and indexing mechanisms. They explore the nuances of modeling and querying related data within Elasticsearch documents, gaining insights into optimizing performance and implementing best practices. Through practical exercises and case studies, participants solidify their understanding, preparing them for real-world applications.

Project on Elasticsearch - Flight Monitoring (37m): In this project-oriented module, participants put their Elasticsearch knowledge into practice by setting up Elasticsearch clusters tailored for real-time flight data storage. They engage in indexing and analyzing flight data streams, utilizing Elasticsearch's capabilities to derive meaningful insights. Furthermore, participants leverage Kibana's visualization tools to construct interactive dashboards for flight monitoring purposes. By implementing alerts and notifications based on Elasticsearch queries, learners gain hands-on experience in deploying Elasticsearch solutions in real-world scenarios.

AWS Elastic Beanstalk Case Study - Application Deployment (1h 47m): This segment shifts the focus to AWS Elastic Beanstalk, providing participants with a comprehensive overview of its architecture, benefits, and deployment strategies. Through a detailed case study, learners explore the intricacies of deploying a sample application using Elastic Beanstalk, configuring environment settings, and optimizing scaling options. Additionally, participants delve into monitoring application health and performance metrics through the AWS Console, equipping them with practical skills for deploying and managing applications on AWS.

Project on Elastic Beanstalk - Application Deployment (55m): In this hands-on project, participants immerse themselves in the deployment of a custom application on Elastic Beanstalk. They navigate through the process of configuring application settings, establishing database connections, and managing environment variables. Participants gain proficiency in managing application versions, implementing rolling updates, and troubleshooting common deployment issues. Through practical exercises, learners acquire essential skills for deploying and optimizing applications on Elastic Beanstalk.

Elasticsearch with Logstash and Kibana (10h 42m): The final segment delves into the integration of Elasticsearch with Logstash and Kibana, collectively known as the Elastic Stack. Participants learn to configure Logstash for data ingestion and transformation, integrating Logstash pipelines with Elasticsearch for centralized logging. They explore advanced topics such as security, anomaly detection, and machine learning integration, enhancing their capabilities in data analysis and visualization. Through practical exercises and case studies, learners consolidate their understanding of the Elastic Stack, empowering them to harness its full potential in diverse use cases.

Each segment of the course is meticulously designed to provide participants with a blend of theoretical knowledge and practical skills, enabling them to master Elasticsearch, Logstash, Kibana, and AWS Elastic Beanstalk effectively. Through hands-on projects and real-world case studies, learners gain invaluable insights and practical experience, preparing them to excel in their professional endeavors.