Observability with Prometheus and Grafana is a hands-on course in building monitoring from scratch, from installing Prometheus and collecting metrics with exporters to writing PromQL, designing Grafana dashboards and setting alerts with Alertmanager, then extending to logs with Loki and traces. It suits DevOps engineers, SREs, system administrators and teams running Docker or Kubernetes.
When a system fails or slows down, the first question is how you find out and how fast. Many organizations still learn about problems from customer calls rather than from their own monitoring. Prometheus and Grafana are the open-source standard that DevOps and SRE teams worldwide use to collect metrics, visualize them on dashboards and alert before users are affected. This course builds an observability stack
from scratch: installing Prometheus, collecting metrics from servers, containers, databases and applications through exporters, writing PromQL to query and compute values, designing readable Grafana dashboards, configuring alert rules that do not create noise with Alertmanager, and finally long-term storage plus an introduction to logs and traces. Every topic is hands-on in a lab environment. (3 days, 6 hours per day, 18 hours in total, Intermediate level.)
Course Details
A 3-day course, 6 hours per day (18 hours in total), delivered as lectures with hands-on labs for every topic. Intermediate level. Learners take home a lab guide, Prometheus and Alertmanager configuration files, sample Grafana dashboards and a set of commonly used PromQL queries. All tools are open source and can be deployed in the organization at no licensing cost.
Section 1: Observability and Monitoring Concepts
Section 2: Installing and Configuring Prometheus
Section 3: Collecting Metrics with Exporters
Section 4: Service Discovery and Target Management
Section 5: PromQL Fundamentals
Section 6: Grafana and Building Dashboards
Section 7: Designing Dashboards That Work
Section 8: Application Monitoring
Section 9: Writing Alerting Rules
Section 10: Alertmanager and Notifications
Section 11: Long-term Storage and Performance
Section 12: Logs, Traces and Capstone
No public rounds are open right now. Join the waiting list and we will contact you first when the next round opens, or ask us on LINE. Or call 02-570-8449 or 088-807-9770
Monitoring watches metrics you already know matter and alerts when they cross a threshold, such as high CPU or a nearly full disk, answering whether something is wrong. Observability is the ability to understand what is happening inside a system from the data it emits, metrics, logs and traces, so you can work out why something is wrong, even for problems nobody anticipated. Organisations need both.
Counter metrics, such as total HTTP requests, only ever increase, so their raw values say little. The rate function calculates the average per-second increase over a time window, for example rate(http_requests_total[5m]), and handles counter resets when a service restarts. It is usually combined with sum by to group results by service or status code, for instance to find the error rate per second.
Start by installing Prometheus, for example with Docker Compose, and Node Exporter on the servers you want to watch. Add them as targets in prometheus.yml so Prometheus scrapes their metrics. Install Grafana, add Prometheus as a data source and build dashboards with PromQL or import community dashboards. Finally, write alerting rules and configure Alertmanager to notify your team. This course practises every step on lab machines.
It suits DevOps engineers and SREs responsible for system stability, administrators and infrastructure teams who need practical monitoring, developers who want to understand how their applications behave in production, and teams running Docker or Kubernetes. You should know basic Linux commands, understand ports, HTTP and DNS, and be able to read YAML. Some Docker experience makes the labs smoother.
You will be able to install Prometheus and collect metrics with exporters, set up service discovery, write PromQL to answer real questions such as error rates and resource use, build Grafana dashboards that show system health at a glance, instrument applications around the four golden signals, write alerting rules with Alertmanager, and extend to logs with Loki and traces. Participants who complete the training receive a Certificate of Completion with its own number, which can be verified online.
Yes. It can be run in-house for your team, with examples adapted to your own work, such as designing dashboards and alerting rules for the services your team actually runs. You can request a quotation from this page, or contact us on LINE @itgenius or by phone on 02-570-8449.
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