Practical technology training
Course outline for Prometheus and Grafana
Connect the concepts, work through practical problems, and choose a training plan that fits your goals.
About Prometheus and Grafana
Prometheus collects and queries time-series metrics; Grafana turns data sources into dashboards and operational views. Instrument a small service, define useful measurements, and build alerts that distinguish missing telemetry from healthy behavior.
Prometheus and Grafana Course Objectives
- Configure metric collection for a local service.
- Choose metric types and bounded labels.
- Query rates, errors, and latency with PromQL.
- Build readable dashboards and actionable alerts.
- Diagnose scrape failures and document monitoring limits.
Pre-requisites
- Basic Linux, HTTP, and service-operation knowledge.
- Ability to read configuration files and run local containers.
- Basic application programming is useful for instrumentation.
Lab Setup
- Docker or a compatible local runtime and a supplied Prometheus/Grafana stack.
- Instrumented sample service, exporter, synthetic traffic, and failure fixtures.
- Reserve sufficient memory for the supplied stack; use disposable local data and dummy credentials.
Detailed Course Outline
Monitoring Concepts
- Metrics versus logs and traces
- Service health and user-visible outcomes
- Time-series measurements and timestamps
- Choosing a monitoring boundary
Prometheus Architecture
- Scraping, targets, and exporters
- Configuration and service discovery
- Labels and time-series identity
- Retention and storage responsibilities
Instrumentation and Metric Types
- Counters, gauges, histograms, and summaries
- Request, error, and latency measurements
- Label cardinality and cost
- Exposing metrics without leaking sensitive data
PromQL Fundamentals
- Instant and range queries
- Label matching and aggregation
- Rates, increases, and counter resets
- Histogram queries and latency distributions
Grafana Dashboards
- Configuring data sources
- Panels, units, legends, and time ranges
- Variables and useful drill-down links
- Dashboard provisioning and version control
Alerting and Reliability Targets
- Alert conditions, duration, and missing data
- Prometheus rules and Alertmanager roles
- Grafana-managed versus data-source-managed alerts
- SLO definitions and actionable runbooks
Troubleshooting and Operations
- Scrape failures and unreachable targets
- Query performance and excessive labels
- Authentication and access boundaries
- Backup, retention, and upgrade checks
Practical Exercise
- Instrument and monitor a supplied HTTP service
- Build a traffic/error/latency dashboard
- Trigger an error alert and a missing-target case
- Record queries, observed results, and a response runbook
How we train
Online training for Prometheus and Grafana
- Instructor-led live cohorts
- Self-paced learning with expert coaches
- 24x7 cloud labs with end-to-end examples
All sessions are 100% hands-on. Labs and activities are derived from real-world work our engineers deliver.
Classroom training
Available for corporate teams in:
- Bengaluru
- Chennai
- Hyderabad
- Mumbai
- Delhi/Gurgaon/NCR
- Pune
Note: Classroom training is for corporate clients only.
Self-paced hands-on sessions are delivered via VirtualCoach.