Course Overview
The Splunk Architect course is designed to provide in-depth knowledge and hands-on experience with Splunk. This course will cover the architecture, deployment, configuration, and management of Splunk environments. Participants will learn best practices for designing and implementing Splunk solutions that meet business needs and scale efficiently.
Target Audience
- IT professionals looking to specialize in Splunk.
- System administrators and engineers.
- Data analysts and business intelligence professionals.
- Existing Splunk users aiming to enhance their expertise.
Course Objectives
- By the end of this course, participants will:
- Understand the architecture and components of Splunk.
- Learn how to design and implement Splunk environments.
- Gain expertise in data ingestion, parsing, and indexing.
- Develop skills in creating and managing Splunk knowledge objects.
- Learn best practices for scaling and optimizing Splunk deployments.
- Understand security practices and user management in Splunk.
- Gain hands-on experience through practical labs and exercises.
Course Structure
Module 1:
- Introduction to Splunk
- Overview of Splunk and its use cases.
- Splunk architecture and components.
- Installation and configuration of Splunk.
Module 2:
- Data Ingestion and Parsing
- Data inputs and forwarders.
- Parsing and indexing data.
- Handling different data formats.
Module 3:
- Search and Reporting
- Basic and advanced search commands.
- Creating and managing reports and dashboards.
- Using Splunk’s Pivot and Data Model.
Module 4:
- Knowledge Objects
- Understanding knowledge objects.
- Creating and managing field extractions, tags, and event types.
- Using lookups, workflow actions, and alerts.
Module 5:
- Advanced Splunk Administration
- Managing Splunk configurations.
- Scaling Splunk deployments.
- Best practices for Splunk deployment and management.
Module 6:
- Security and User Management
- User roles and authentication.
- Managing permissions and access control.
- Implementing security best practices in Splunk.
Module 7:
- Performance Tuning and Troubleshooting
- Monitoring and optimizing Splunk performance.
- Troubleshooting common Splunk issues.
- Using Splunk’s monitoring and alerting capabilities.
Module 8:
- Practical Labs and Case Studies
- Hands-on labs for real-world scenarios.
- Case studies to reinforce learning.
- Group discussions and problem-solving sessions.
Training Methodology
Interactive Lectures: Engaging presentations with real-world examples.
Hands-On Labs: Practical exercises to reinforce theoretical knowledge.
Case Studies: Analysis and discussion of real-world Splunk implementations.
Q&A Sessions: Regular opportunities to ask questions and clarify doubts.
Assessments: Periodic quizzes and a final assessment to gauge understanding.
Duration
The course is designed to be delivered over 8 days, with each day consisting of 4 hours of instruction, including breaks.
- Every Saturday – 3 PM to 7 Pm IST.
- Start From August 17, 2024
Prerequisites
Basic understanding of IT infrastructure and data concepts.
Familiarity with Unix/Linux command line (preferred but not required).
Basic knowledge of Splunk (recommended but not mandatory).
Materials Provided
Course slides and notes.
Lab exercises and solutions.
Reference materials and additional reading resources.
Trainer’s Profile
Linked In : https://www.linkedin.com/in/vinish-justin-dev/
As an experienced Splunk Architect, I bring a wealth of knowledge and practical experience to the course.
My background includes:
Extensive experience in designing and implementing Splunk solutions.
Strong understanding of Splunk architecture, data ingestion, and search capabilities.
Proven track record of successful Splunk deployments and optimizations.
Passion for teaching and mentoring IT professionals.
Contact
Email: [email protected]
WhatsApp: +91-7708755377