Welcome Learner! Logging and monitoring are essential tools for understanding the performance and behavior of a system. Still, they need to be more on their own to ensure the reliability and implementation of a system.

Metrics provide a snapshot of the current state of a system, such as CPU usage or memory consumption. While metrics can be used to identify issues and track performance over time, they can't give a complete picture of what is happening in a system. Metrics can also be misleading or hard to interpret, especially in complex and distributed systems.

On the other hand, monitoring involves setting up alerts and notifications for specific conditions, such as high resource utilization or error rates, so that issues can be identified and addressed before they cause a significant impact. While monitoring can be an effective way to detect issues, it can't provide insight into the root cause of the problem or how to fix it.

Class Objectives

Develop a complete understanding of logging, monitoring, and observability. Understand OpenTelemetry and discuss Jaeger, Humio, and Dynatrace. Demo Jaeger UI.

Class Details

Why Observability Matters Now
Are Metrics & Monitoring enough
Debugging with Metrics vs. Observability
Lessons from Scaling without Observability
How Observability Relates to DevOps, SRE, and Cloud Native
Understand Distributed Tracing Engineering
Review OpenTelemetry Demo architecture
OpenTelemetry & DynaTrace
Review Humio Log Workflow
Install & Demo JaegerUI

Class Benefits

Understand Observability Engineering
Achieve Production Excellence
Understand Production - No matter how complex
Solve problems faster
Build reliable services

Email contact@avnicloud.com for any questions.

Logging, Monitoring, and Observability (Training)