By the end of this course, learners will be able to:

• Deploy and configure the Grafana Stack (Grafana, Prometheus, Loki, Tempo).

• Collect, store, and visualize metrics, logs, and traces.

• Build custom dashboards and alerts for monitoring.

• Integrate observability into Kubernetes and cloud-native apps.

• Apply best practices for scaling observability systems.

Course Syllabus

Module 1: Introduction to Observability

• Why observability matters

• Monitoring vs logging vs tracing

• Grafana Stack overview

Module 2: Grafana Basics

• Installation and setup

• Creating dashboards and panels

• Data sources and plugins

Module 3: Prometheus – Metrics Collection

• Prometheus fundamentals

• Node exporter and app exporters

• PromQL queries for monitoring

Module 4: Loki – Logs Aggregation

• Setting up Loki

• Pushing logs with Promtail

• LogQL queries

Module 5: Tempo – Distributed Tracing

• Tracing fundamentals

• Integration with Jaeger/Zipkin

• Using Tempo in microservices

Module 6: Alerting and Notifications

• Alertmanager setup

• Defining alert rules in Prometheus

• Integrations (Slack, PagerDuty, email)

Module 7: Kubernetes & Cloud Integrations

• Monitoring Kubernetes clusters

• Dashboards for pods, nodes, and workloads

• Deploying Grafana Stack with Helm

Module 8: Advanced Features

• Security and authentication in Grafana

• Dashboards as code (Grafana provisioning)

• High availability and scaling

Module 9: Real-World Projects

• Infrastructure monitoring dashboard

• E-commerce app observability (metrics + logs + traces)

• End-to-end Kubernetes observability stack

Module 10: Production Best Practices

• Resource optimization

• Backup and disaster recovery

• Common troubleshooting

On completion, learners receive a Certificate of Completion from Uplatz validating skills in Grafana Stack, observability pipelines, and cloud-native monitoring. This certification demonstrates readiness for roles in DevOps, SRE, and Cloud Engineering.

Grafana Stack expertise prepares you for roles such as:

• DevOps Engineer (Observability)

• Site Reliability Engineer (SRE)

• Cloud Monitoring Specialist

• Infrastructure Engineer

• Observability Architect

Grafana is widely used by Google, PayPal, Siemens, eBay, and thousands of enterprises, making it a valuable, in-demand skill.

1. What is the Grafana Stack?
   It’s a suite including Grafana, Prometheus, Loki, and Tempo for unified observability (metrics, logs, traces).

2. How does Prometheus collect metrics?
   Prometheus uses a pull model to scrape metrics from endpoints exposed by exporters.

3. What is PromQL?
   PromQL is Prometheus Query Language used to query and aggregate time-series metrics.

4. What is Loki and how does it differ from ELK?
   Loki is a log aggregation system optimized for storing logs with minimal indexing, unlike ELK which heavily indexes logs.

5. How does Tempo help with observability?
   Tempo provides distributed tracing, helping track requests across microservices.

6. How do you secure a Grafana deployment?
   By enabling user authentication, role-based access control, and HTTPS.

7. What are Grafana data sources?
   Grafana can connect to Prometheus, Loki, InfluxDB, Elasticsearch, MySQL, and many others.

8. How does alerting work in Grafana Stack?
   Prometheus defines alert rules; Alertmanager routes alerts; Grafana provides visualization.

9. How do you monitor Kubernetes with Grafana Stack?
   By deploying Prometheus, node exporters, and kube-state-metrics, then visualizing in Grafana dashboards.

10. Where is Grafana Stack commonly used?
    It is widely used in DevOps pipelines, cloud-native observability, application monitoring, and infrastructure management.