ELK Stack
Develop the skills to build a searchable log-ingestion pipeline through a learning path centred on ELK Stack. Explore concepts, guided practice and an applied project.
Build practical ELK Stack skills.
Skills and knowledge developed in this course.
- Pipeline architecture
- Ingestion and parsing
- Search and exploration
- Data operations
- Applied project: Build a searchable log-ingestion pipeline
- ELK Stack — validation and review
About this course
This course develops practical capability in ELK Stack. Its course-specific content covers Pipeline architecture, Ingestion and parsing, Search and exploration, Data operations, followed by an applied project focused on build a searchable log-ingestion pipeline. The lessons include concrete configuration, design, testing or operational decisions appropriate to the subject.
Who this is for
Administrators, developers and practitioners who work with ELK Stack or plan to take on responsibilities in this area.
Before you start
Basic computer literacy and a foundational understanding of monitoring, observability & sre. Prior experience with the named product helps with the practical exercises.
Build a searchable log-ingestion pipeline
Deliver build a searchable log-ingestion pipeline. Use the module outcomes to state requirements, demonstrate a working result, test an expected failure or boundary case, and document assumptions and follow-up work.
Course content
Course-specific syllabus and practical exercises. Lab release, access arrangements and final delivery scope are confirmed before enrolment.
01Pipeline architecture
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- Elasticsearch, Logstash and Kibana roles
- Agent-based collection and source boundaries
Practical exerciseApply pipeline architecture to the build a searchable log-ingestion pipeline and capture the validation evidence.
02Ingestion and parsing
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- Grok-style parsing and field mapping
- Timestamp quality and pipeline failures
Practical exerciseApply ingestion and parsing to the build a searchable log-ingestion pipeline and capture the validation evidence.
03Search and exploration
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- Queries, aggregations and index patterns
- Dashboards and investigation timelines
Practical exerciseApply search and exploration to the build a searchable log-ingestion pipeline and capture the validation evidence.
04Data operations
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- Index lifecycle, retention and permissions
- Validate sample events and failed-ingestion recovery
Practical exerciseApply data operations to the build a searchable log-ingestion pipeline and capture the validation evidence.
05Applied project: Build a searchable log-ingestion pipeline
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- Define inputs, assumptions and acceptance criteria for: Build a searchable log-ingestion pipeline.
- Implement the project using pipeline architecture, ingestion and parsing, search and exploration, data operations.
Practical exerciseBuild a searchable log-ingestion pipeline.
06ELK Stack — validation and review
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- Demonstrate the completed project against its acceptance criteria.
- Exercise an invalid-input or failure scenario and document the observed result.
Practical exercisepresent the project evidence, limitations and a repeatable handover.
Technical references
These primary vendor, project or standards sources inform this independent IT Purview outline. Reference pages checked 25 October 2026; current provider documentation and exam objectives take precedence when versions change.
From understanding to application.
Progress by learning milestone. The schedule is agreed around your starting level and learning goals.
- 01Learning milestone 1 In progress
Set the context
Pipeline architecture · Ingestion and parsing
Establish the ELK Stack scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Search and exploration · Data operations
Apply the core ELK Stack techniques in the course lab and record the result. - 03Learning milestone 3 In progress
Validate and handle exceptions
Check expected behavior, investigate a failure case and capture evidence for build a searchable log-ingestion pipeline. - 04Learning milestone 4 In progress
Deliver the applied project
Complete build a searchable log-ingestion pipeline, explain key decisions and identify a practical next step.
Career outlook after this learning path
Typical roles this roadmap can support, with broad salary ranges by relevant work experience.
| Role | 0–3 years | 3–7 years | 7–12+ years |
|---|---|---|---|
| SRE / Observability Engineer | ₹8–14 LPA | ₹18–32 LPA | ₹35–58 LPA |
Ranges are indicative India-market compensation estimates in ₹ lakh per annum, not a salary promise. They reflect broad market guides and vary by location, employer, skills and role scope; the experience bands refer to relevant work experience, not time since training. Completing this course does not guarantee employment, a role, compensation or career progression. View market reference ↗