Prometheus
Develop the skills to monitor a service with PromQL and tested alerts through a learning path centred on Prometheus. Explore concepts, guided practice and an applied project.
Build practical Prometheus skills.
Skills and knowledge developed in this course.
- Collection model
- PromQL
- Alert workflows
- Operational lab
- Applied project: Monitor a service with PromQL and tested alerts
- Prometheus — validation and review
About this course
This course develops practical capability in Prometheus. Its course-specific content covers Collection model, PromQL, Alert workflows, Operational lab, followed by an applied project focused on monitor a service with promql and tested alerts. 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 Prometheus 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.
Monitor a service with PromQL and tested alerts
Deliver monitor a service with promql and tested alerts. 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.
01Collection model
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- Scraping, exporters and target discovery
- Metric types, labels and cardinality
Practical exerciseApply collection model to the monitor a service with promql and tested alerts and capture the validation evidence.
02PromQL
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- Selectors, rates and aggregations
- Range vectors and recording rules
Practical exerciseApply promql to the monitor a service with promql and tested alerts and capture the validation evidence.
03Alert workflows
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- Alert rules and evaluation behaviour
- Alertmanager routing, grouping and silence concepts
Practical exerciseApply alert workflows to the monitor a service with promql and tested alerts and capture the validation evidence.
04Operational lab
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- Instrument and diagnose a sample service
- Validate alert timing and storage assumptions
Practical exerciseApply operational lab to the monitor a service with promql and tested alerts and capture the validation evidence.
05Applied project: Monitor a service with PromQL and tested alerts
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- Define inputs, assumptions and acceptance criteria for: Monitor a service with PromQL and tested alerts.
- Implement the project using collection model, promql, alert workflows, operational lab.
Practical exerciseMonitor a service with PromQL and tested alerts.
06Prometheus — 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
Collection model · PromQL
Establish the Prometheus scope, baseline concepts and operating assumptions. - 02Learning milestone 2 In progress
Build the working skills
Alert workflows · Operational lab
Apply the core Prometheus 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 monitor a service with promql and tested alerts. - 04Learning milestone 4 In progress
Deliver the applied project
Complete monitor a service with promql and tested alerts, 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 ↗