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This course is part of Elasticsearch 8 and the Elastic Stack: In-Depth and Hands-On Specialization
Instructor: Packt - Course Instructors
Included with
Recommended experience
Advanced level
For experienced data engineers, admins, and cloud architects to advance Elasticsearch skills. Basic Elasticsearch and cloud knowledge recommended.
Recommended experience
Advanced level
For experienced data engineers, admins, and cloud architects to advance Elasticsearch skills. Basic Elasticsearch and cloud knowledge recommended.
Analyze and interpret log data using Elastic Stack tools
Optimize Elasticsearch performance with advanced operational strategies
Deploy and manage Elasticsearch clusters in the cloud
Diagnose and troubleshoot common Elasticsearch issues
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October 2024
1 assignment
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Dive deep into the advanced capabilities of Elasticsearch with this comprehensive course focused on operations and cloud deployment. Beginning with log data analysis, you’ll explore how to leverage the full power of the Elastic Stack, including FileBeat and Kibana dashboards. You'll also gain a thorough understanding of X-Pack security, ensuring your Elasticsearch environment is secure and resilient.
The course then shifts focus to core Elasticsearch operations, covering crucial topics such as shard management, index lifecycle management, and performance monitoring. You’ll learn how to scale your Elasticsearch setup by adding indices, manage snapshots effectively, and troubleshoot common issues. Real-world exercises will reinforce these concepts, preparing you to handle the operational challenges of maintaining a large-scale Elasticsearch environment. In the final sections, you’ll master cloud deployment, an essential skill for modern infrastructure management. You'll explore the Amazon Elasticsearch Service and Elastic Cloud, understanding how to deploy, manage, and monitor Elasticsearch clusters in the cloud. By the end of this course, you’ll be equipped with the knowledge to optimize and deploy Elasticsearch in any environment, making you an invaluable asset to your team. This course is designed for experienced data engineers, system administrators, and cloud architects who are looking to advance their Elasticsearch skills. A solid foundation in Elasticsearch basics and general knowledge of cloud services is recommended.
In this module, we will dive into the essentials of log data analysis using the Elastic Stack. You'll learn how to install and configure FileBeat, explore the X-Pack security features, and harness the power of Kibana dashboards to gain insights from your log data. This section also includes a hands-on exercise to solidify your understanding of log analysis techniques.
8 videos2 readings
In this module, we will explore advanced operations in Elasticsearch, focusing on optimizing performance and ensuring system reliability. You'll learn about shard configuration, index lifecycle management, and hardware considerations. Additionally, we'll cover monitoring, troubleshooting, and implementing failover strategies to maintain the health of your Elasticsearch clusters.
16 videos
In this module, we will shift our focus to deploying Elasticsearch in the cloud. We'll cover the essentials of using Amazon Elasticsearch Service and explore the Elastic Cloud platform. By the end of this section, you'll be equipped to deploy, manage, and scale Elasticsearch clusters in cloud environments, taking advantage of the flexibility and scalability offered by cloud services.
5 videos
In this final module, we will wrap up the course by summarizing the key concepts and skills you've acquired. This is an opportunity to review the most important topics, assess your progress, and identify next steps in your journey with Elasticsearch. We'll also discuss how to apply what you've learned to real-world challenges.
1 video1 reading1 assignment
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
This course is one of a few offered on Coursera that are currently available only to learners who have paid or received financial aid, when available.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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.
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