Logstash Training Online

70 Lessons

40 hours

Logstash Training helps learners master log data processing using the Logstash platform. Understand real-time data ingestion, log parsing, pipeline configuration, and seamless integration with Elasticsearch and Kibana. Gain hands-on skills to optimize data workflows, improve operational visibility, and streamline log management processes. Prepare to advance your career in data engineering, observability, and system monitoring with practical Logstash expertise.

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About Course

Prerequisites

Basic Linux command line knowledge
Understanding of log types and formats (JSON, syslog, plain text)
Familiarity with the ELK Stack (Elasticsearch, Logstash, Kibana)
Basic scripting skills (especially JSON and regular expressions)
Networking basics (TCP/UDP, ports, protocols)

Optional but helpful

Experience with Elasticsearch and Kibana
Familiarity with YAML and config files
Knowledge of Beats (e.g., Filebeat) for log shipping

What You Will Learn

1. Introduction to Logstash and ELK Stack

2. Installing and setting up Logstash

3. Understanding Logstash architecture (Input → Filter → Output)

4. Creating and configuring pipelines

5. Using input plugins (File, Beats, Syslog, Kafka, etc.)

6. Applying filter plugins (grok, mutate, json, date, etc.)

7. Using output plugins (Elasticsearch, stdout, file, etc.)

8. Parsing structured and unstructured logs

9. Testing and debugging pipelines

10. Performance tuning and best practices

11. Integrating with Beats and Elasticsearch

12. Real-world use cases and hands-on examples

Course Curriculum

Course Content

Lesson 1 – Introduction to Elastic Stack & Use Cases

What is the Elastic Stack (ELK / Elastic Stack)
Components: Elasticsearch, Logstash, Kibana, Beats
Architecture and data flow
Common use cases: centralized logging, security monitoring, observability

Lesson 2 – Installation & Setup

Lesson 3 – Elasticsearch Fundamentals (Context)

Lesson 4 – Core Logstash Concepts

Lesson 5 – Input Plugins & Data Ingestion

Lesson 6 – Filter Plugins & Transformations

Lesson 7 – Output Plugins

Lesson 8 – Pipeline Management & Advanced Features

Lesson 9 – Performance, Scaling & Tuning

Lesson 10 – Monitoring & Troubleshooting

Lesson 11 – Integrations with Beats & Agents

Lesson 12 – Security, Authentication & TLS

Lesson 13 – Working with Logstash Modules

Lesson 14 – Use Cases & Hands-on Projects

Lesson 15 – Production Best Practices & Maintenance

Lesson 16 – Visualization & Analytics (Kibana)

Lesson 17 – Capstone Project / Final Assignment

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Self Paced Learning

₹47,940.00

✓ Refund Policy

Duration: 40 hrs
70 Lessons & Practical Labs
Lifetime Full Access & Free Upgrades
Downloadable Study Materials & Code Labs
Recognized Certification of Completion
24x7 Online Support & Learner Forum

Placement Partners

Want to know Today's Offer

Logstash Training Online Certification Exam

Upon completing the Logstash Training Online, you will receive a globally recognized certification that validates your expertise in professional skills and industry best practices. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

The Technology certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

Frequently Asked Questions

The Logstash Training Online is designed to provide comprehensive, in-depth training in Logstash Training. Prerequisites Basic Linux command line knowledge Understanding of log types and formats (JSON, syslog, plain text) Familiarity with the ELK Stack (Elasticsearch, Logstash, Kibana) Basic scripting skills (especially JSON and regular expressions) Networking basics (TCP/UDP, ports, protocols) Optional but helpful Experience with Elasticsearch and Kibana Familiarity with YAML and config files Knowledge of Beats (e.g., Filebeat) for log shipping What You Will Learn1. The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in Logstash Training and qualify for relevant industry roles. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using Logstash Training tools and best practices, helping you build a portfolio to showcase to hiring managers.

Upon successful completion of the course curriculum and project assessments, you will be awarded an industry-recognized Certificate of Completion from Kodestree. We also offer career assistance, including resume-building workshops, mock technical interviews, and job opportunities to help you transition into relevant industry roles.

Contact Us Worldwide

Call:
+91 7204614489

WhatsApp:
+91 7204614489

Email:
admissions@kodestree.com

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“

The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

Ankit Sharma

SOC Analyst

Cyber Security Course

“

After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

Priya Menon

Scrum Master

Certified ScrumMaster (CSM)

“

Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

Rahul Verma

Project Manager

Certified ScrumMaster (CSM)

“

Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

Sneha Kapoor

Cloud Security Engineer

Cyber Security Course

“

This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

Vikram Singh

Agile Coach

Certified ScrumMaster (CSM)

Logstash Training Online

About Course

Prerequisites

Optional but helpful

What You Will Learn

Course Curriculum

Course Content

Lesson 1 – Introduction to Elastic Stack & Use Cases

What is the Elastic Stack (ELK / Elastic Stack)

Components: Elasticsearch, Logstash, Kibana, Beats

Architecture and data flow

Common use cases: centralized logging, security monitoring, observability

Lesson 2 – Installation & Setup

System requirements (Java, memory, OS prerequisites)

Installing Elasticsearch, Logstash, Kibana

Basic configuration / starting services

Verifying installation and connectivity

Lesson 3 – Elasticsearch Fundamentals (Context)

Cluster, node, shard, replica concepts

Index management: creating, deleting, mapping

JSON document structure, indexing, retrieving

Query DSL: search, filters, aggregations

Monitoring cluster health and APIs

Lesson 4 – Core Logstash Concepts

Logstash’s role and internal architecture

Event data model (fields, metadata)

Pipeline flow: Input → Filter → Output

Plugin categories overview (input, filter, output)

Lesson 5 – Input Plugins & Data Ingestion

File input, Beats input, syslog, TCP / UDP, HTTP, Kafka, etc.

Configuration options (paths, ports, codecs)

Handling multiple input sources

Lesson 6 – Filter Plugins & Transformations

Parsing unstructured logs: grok, dissect

Data transformation: mutate, rename, remove, split

Working with JSON: json filter

Date handling: date filter

Key-value parsing: kv, csv

Enrichment filters: geoip, translate

Conditionals & control flow

Lesson 7 – Output Plugins

Sending to Elasticsearch

Writing to files or stdout

Other outputs (e.g. Kafka, database sinks)

Template management and index naming strategies

Lesson 8 – Pipeline Management & Advanced Features

Multiple pipelines (pipeline configs)

Queueing (in‑memory vs persistent queues)

Dead letter queues and error handling

Pipeline to pipeline communication

Conditional routing of events

Lesson 9 – Performance, Scaling & Tuning

JVM tuning, heap settings

Batch size, worker threads, pipeline throughput

Resource considerations (CPU, memory, I/O)

Monitoring metrics and bottleneck identification

Lesson 10 – Monitoring & Troubleshooting

Logstash monitoring APIs and metrics

Debugging logstash configs (e.g. using –config.test_and_exit)

Logging and error logs

Common failures and how to fix them

Lesson 11 – Integrations with Beats & Agents

Filebeat, Metricbeat, Auditbeat, etc.

Modules in Beats

Using Beats to ship logs to Logstash

When to use Beats vs Logstash directly

Lesson 12 – Security, Authentication & TLS

TLS/SSL setup for secure communication

User authentication and authorization

Role-based access control

Secure pipeline configurations

Lesson 13 – Working with Logstash Modules

What Logstash modules are and when to use them

Prepackaged configurations and dashboards

Enabling, configuring, overriding module settings

Elasticsearch & Kibana setup when using modules

Lesson 14 – Use Cases & Hands-on Projects

Real-world log ingestion pipelines (e.g., web logs, application logs)

End-to-end project: log → parse → index → visualize

Case studies of centralized logging, security logging