YoVDO

A Practical Guide to DQL for Metrics in Dynatrace Grail

Offered By: Dynatrace via YouTube

Tags

Kubernetes Courses Time Series Analysis Courses Grails Courses Observability Courses Service-Level Objectives Courses Dynatrace Query Language Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Dive into a comprehensive 53-minute Observability Clinic on using Dynatrace Query Language (DQL) for metrics analysis. Explore the core principles of metrics and timeseries data in Dynatrace Grail, the data lake house for observability signals. Follow along as Fabrice Courbon, Principal Product Manager at Dynatrace, demonstrates practical DQL Metrics use cases, including resource utilization in K8s clusters, disk storage monitoring, and SLO calculations. Gain insights into the anatomy of time series, time and space aggregation, and the DQL timeseries command. Watch a detailed demo and access additional resources to enhance your understanding of DQL for metrics in Dynatrace Grail.

Syllabus

- Introduction
- What you'll learn today
- What is Grail
- Anatomy of a time series
- Time and space aggregation
- DQL timeseries command
- DEMO
- Wrap Up


Taught by

Dynatrace

Related Courses

AI and Climate Change
DeepLearning.AI via Coursera
Anomaly Detection in Time Series Data with Keras
Coursera Project Network via Coursera
AWS SimuLearn: Anomaly Detection
Amazon Web Services via AWS Skill Builder
AWS SimuLearn: Detecting Abnormal Equipment Behavior
Amazon Web Services via AWS Skill Builder
Bayesian Statistics: Time Series Analysis
University of California, Santa Cruz via Coursera