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Monitoring & Analytics via Elastic Search

Elasticsearch Essentials: Monitoring and Analytics for Business Success

Store, Search, and Analyze large volumes of Data

Program Overview

Elasticsearch is a powerful search and analytics engine that is used to store, search, and analyze large volumes of data. It is commonly used for monitoring and analytics due to its scalability, speed, and flexibility. Elasticsearch can be used to index data from various sources, including logs, metrics, and other types of data, and then analyze that data in real time to provide insights into the health and performance of systems.

One of the key features of Elasticsearch is its ability to perform full-text search and advanced search queries across large volumes of data. This makes it ideal for monitoring applications and systems, as it can quickly identify patterns and anomalies in the data.

If you are looking for a professional training course in Monitoring and Analytics via Elasticsearch, Uptut is an excellent choice for corporates. With expert trainers, customizable course content, flexible delivery options, practical, hands-on training, and ongoing support, Uptut can help your organization upskill its employees and stay ahead in today's competitive marketplace.

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Why Monitoring and Analytics via Elasticsearch for your business?

  • Improved operational efficiency: Elasticsearch can help you monitor your systems and applications in real-time. This can help you proactively address issues, reduce downtime, and improve operational efficiency.
  • Better decision-making: Elasticsearch can provide you with insights into the health and performance of your systems, applications, and infrastructure. Hence, you can optimize your business operations and improve customer experience.
  • Faster troubleshooting: Elasticsearch can help you quickly identify the root cause of issues, reducing the time required for troubleshooting and resolving problems.

Make Your Team Proficient

Training Objectives

  • Gain a solid understanding of Elasticsearch
  • Learn how to index data into Elasticsearch
  • Learn how to search and query data in Elasticsearch
  • Learn how to visualize data in Elasticsearch
  • Gain insights on how to use Elasticsearch for real-time monitoring and alerting
  • Learn how to optimize and scale Elasticsearch for large-scale deployments

Hands-on Experience with Tools

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Core Training Modules

  • 1. Introduction to Elasticsearch
  • Architecture, data model, indexing, and querying
  • 2. Using Elasticsearch for real-time monitoring and alerting
  • Real-time monitoring and alerting by indexing data and creating queries to search for specific events or patterns
  • 3. Data visualization with Kibana
  • Creating dashboards, charts, and reports
  • 4. Data processing with Logstash
  • Collecting, filtering, and transforming data
  • 5. Using Beats for data shipper and real-time monitoring
  • Collecting data from various sources and forwarding it to Elasticsearch or Logstash
  • 6. Scaling Elasticsearch for large-scale deployments
  • Cluster configuration, load balancing, and performance tuning
  • 7. Using Elasticsearch for log analysis and troubleshooting
  • Indexing log data and providing fast search and analytics capabilities to identify issues and analyze system behavior
  • 8. Using Elasticsearch for metrics analysis and performance optimization
  • Indexing performance metrics data and providing fast search and analytics capabilities to identify performance bottlenecks and optimize system behavior
  • 9. Machine learning with Elasticsearch
  • Anomaly detection and predictive analytics
  • 10. Integrating Elasticsearch with other monitoring and analytics tools
  • Providing a comprehensive solution for data visualization, alerting, and analysis
  • 11. Advanced Elasticsearch queries and search techniques
  • More complex search patterns and analysis, including fuzzy searches, regular expressions, aggregations, and machine learning algorithms.
  • 12. Security monitoring with Elasticsearch
  • Identifying and mitigating security threats
  • 13. Best practices for Elasticsearch monitoring and analytics
  • Best practices for Elasticsearch monitoring and analytics
  • 14. Elasticsearch use cases in different industries and applications
  • E-commerce search, log analysis in IT, fraud detection in finance, geospatial data analysis in transportation, and content search in media and publishing

How does personalized training work?

01
Analyzing skill gap and assessing business requirements
02
Customising curriculum with core and additional modules to fit objectives
03
Supporting learning implementation with consulting

Who will benefit from this training?

  • IT professionals
  • Data analysts
  • Business managers
  • Security professionals

Is this training right for your team?

Take the ElasticSearch open assessment for teams to see how this training fits into the development of your workforce.

Frequently Asked Questions- Answered!

Monitoring & Analytics via Elastic Search
Upskill My Team
  • Personalised training curriculum
  • 100% Live Sessions
  • Lifetime access to recordings and material
  • Hands-on labs and assignments included
  • Consulting Support
  • Delivered by industry experts

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