This 5-hour training will take place online on February 4, 2021 at 5pm UTC / 6pm CET / noon EST / 9am PST.
The training includes:
- Prometheus co-founder (Julius Volz) as your live trainer.
- Online webinar-based training via Zoom.
- Detailed instructional material covering all training topics.
- Interactive querying exercises to make sure you can apply what you have learned.
- Enough time to ask questions and discuss training topics.
- PromLens integration as an instructional tool in the training to aid the understanding and construction of queries.
Read what previous participants of this workshop are saying:
"I am an intern at Grafana Labs and this was really helpful for me. I have a better understanding of not only PromQL but the Prometheus ecosystem in general. The teaching material covers everything. The instructor's pace is also perfect and way of explaining is awesome!"
— Atibhi Agrawal, Grafana Labs
"This class was a great introduction to PromQL, and did a great job building on the basics to more advanced querying techniques. There were exercises throughout the class to reinforce concepts, and the training materials were made available to participants for further study. Julius made himself available for any questions throughout the class, and stayed after the class ended until all questions were answered. Julius even made himself available after the class via email for any follow up questions. This goes above and beyond any training course I've taken in the past. Great job! I can highly recommend this class!"
— Andrew Dampf, Linode
Subject to minor changes, the training follows the following outline:
|Locating PromQL in the Big Picture|
|What is PromQL?|
|PromQL Execution in Prometheus|
|Use Case Overview|
|Data Model Refresher|
|Time Series Data Model|
|Using the Expression Browser|
|The Training Demo Service|
|Rates and Derivatives|
|Aggregating Over Dimensions|
|Interlude: PromQL Language Theory|
|PromQL's Nested Structure|
|PromQL Node Types|
|Query Types and Evaluation Time|
|Working with Histograms|
|Thresholds and Filtering by Value|
|Working with Timestamp Metrics|
|Sorting and topk / bottomk|
|Inspecting Scrape Health|
|Dealing with Absent Series|
|Aggregating Over Time|
|Bonus (in case of spare time): More on Instrumentation & Alerting Best Practices and Pitfalls|
Custom conditions & questions
Have any questions before booking? Interested in group discounts?
Contact us at firstname.lastname@example.org or use the contact form below: