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Project on Logstash - Large-Scale Logging Mechanism

Ce cours n'est pas disponible en Français (France)

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Project on Logstash - Large-Scale Logging Mechanism

Instructeur : EDUCBA

Inclus avec

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

14 avis

niveau Intermédiaire

Expérience recommandée

7 heures à compléter

Planning flexible

Apprenez à votre propre rythme

4 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

14 avis

niveau Intermédiaire

Expérience recommandée

7 heures à compléter

Planning flexible

Apprenez à votre propre rythme

Compétences que vous acquerrez

Catégorie : Data Pipelines
Catégorie : Microservices
Catégorie : Debugging
Catégorie : Software Installation
Catégorie : Configuration Management
Catégorie : Application Deployment
Catégorie : Real Time Data
Catégorie : Scalability
Catégorie : DevOps
Catégorie : Event Monitoring
Catégorie : Containerization

Outils que vous découvrirez

Catégorie : YAML
Catégorie : Docker (Software)

Détails à connaître

Certificat partageable

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Évaluations

11 devoirs

Enseigné en Anglais

91%

of learners achieved a positive career outcome

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Il y a 4 modules dans ce cours

This hands-on course equips learners with the practical skills to design, deploy, and debug end-to-end data processing workflows using the ELK (Elasticsearch, Logstash, Kibana) stack. Through guided case studies and real-world scenarios, participants will install and configure Elasticsearch, build and manage containerized applications using Docker and Docker Compose, and analyze service data with Logstash and Kibana.

Learners will progressively construct multi-service pipelines, manage configurations using YAML, and monitor application behavior across interconnected containers. By the end of the course, participants will be able to construct scalable logging infrastructures, orchestrate services across environments, and evaluate and troubleshoot real-time application logs using Kibana. Whether you're an aspiring DevOps engineer or a backend developer, this course will help you apply theoretical concepts in real-world deployment scenarios such as define, configure, construct, implement, analyze, and evaluate.

Détails du module

This module introduces learners to the foundational components of the Logstash project environment, guiding them through Elasticsearch installation, database setup, application configuration, and container orchestration essentials.

Inclus

8 vidéos3 devoirs

8 vidéosTotal 74 minutes

Introduction to Project7 minutes
Microservice9 minutes
Download Elasticsearch10 minutes
Project Explorer11 minutes
Applications Properties11 minutes
Create Database10 minutes
Case Study and Docker-Compose8 minutes
DB Deployment in YML9 minutes

3 devoirsTotal 50 minutes

Setting Up the Project Environment 30 minutes
Project Initiation and Microservice Setup10 minutes
Configuration and Database Setup10 minutes

Learners explore the principles of container-based deployment using Docker and docker-compose, gaining practical insights into orchestrating multi-service applications and automating service definitions.

Inclus

8 vidéos3 devoirs

8 vidéosTotal 40 minutes

Java Application Declaration in YML5 minutes
Docker-Compose Commands3 minutes
Triggered Docker Build9 minutes
Case Study 2 Overview5 minutes
Declaring Entry points6 minutes
Creaking Volumes Manually5 minutes
Deploying WordPress Container3 minutes
Shown Running WordPress Website3 minutes

3 devoirsTotal 50 minutes

Docker and Application Orchestration30 minutes
YML Declarations and Docker Operations10 minutes
Entry Points and Container Management10 minutes

This module dissects a real-world use case to illustrate data flow within the ELK stack, including installation, configuration, and visualization of service logs using Logstash and Kibana.

Inclus

6 vidéos3 devoirs

6 vidéosTotal 43 minutes

Case Study 1 Overview6 minutes
Flow of Data in Case Study 17 minutes
Installing ELK Stack12 minutes
Installing Zeskind10 minutes
Showing Logstash in Action6 minutes
Service Logs in Kibana1 minute

3 devoirsTotal 50 minutes

Deep Dive into Case Study 1 and ELK Stack30 minutes
Understanding Case Study 1 and Data Flow10 minutes
Installing and Using the ELK Stack10 minutes

Building on previous modules, this final module guides learners through a second case study involving advanced orchestration, entrypoint and volume management, and log inspection using Kibana for debugging.

Inclus

2 vidéos2 devoirs

Instructeur

EDUCBA

1 379 Cours303 698 apprenants

Offert par

EDUCBA

Avis des étudiants

5 stars
78,57 %
4 stars
21,42 %
3 stars
0 %
2 stars
0 %
1 star
0 %

Affichage de 3 sur 14

Révisé le 23 juil. 2025

Great course for beginners like me. I had no idea how logging works at scale, but now I can set

Révisé le 21 juil. 2025

A must for DevOps learners! Solid coverage of Elasticsearch, Logstash, and Kibana. I appreciated the real-life logging scenarios and hands-on exercises.

Révisé le 18 août 2025

The YAML configurations were tricky at first, but the course walked me through clearly. Now I

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