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November 7-10, 2023

Kalahari Resorts, Pocono Manor,

Pennsylvania

   

Workshop Duo Spotlight:

Azure MLOps &

Troubleshooting and Monitoring Production Applications with OpenTelemetry

TechBash 2023

   

Register now to level up your developer skills

   
   
   

About the event: 

   
   

TechBash 2023 Developer Conference

Our standard registration is open now through October 7th. After 10/7, our late-bird pricing will be in effect. Visit our website for more information about TechBash 2023.

TechBash 4-day attendees can select a workshop track of their choice for Tuesday, November 7th. Today, we're highlighting our duo of half-day workshops led by Carey Payette and Yosef Arbiv.

   

Cloud and web-focused workshop duo

 -Azure MLOps Workshop

Many organizations are looking to train and deploy custom-trained machine learning models. MLOps provides environments, compute, data organization, versioning, and end-to-end pipelines that bring your models to fruition. This half-day workshop provides an overview of MLOps in Azure and then proposes a series of challenges for you to solve alone or in a group.

   

-Troubleshooting and Monitoring Production Applications using OpenTelemetry

OpenTelemetry is a CNCF open-source project. It can help you analyze your software's performance and behavior by generating, collecting, and exporting telemetry data from your application. OpenTelemetry is getting increased attention as it becomes the industry standard for distributed tracing and observability.


With more than 50 repositories on GitHub and a bunch of SDKs and APIs, it can look overwhelming, but once you understand the different components that compose it, it can be powerful and easy to use.


This session will introduce the fundamentals of OpenTelemetry and how to use it to get traces from your app. We will build an application, instrument it with OpenTelemetry, and analyze it on a UI backend.


After this session, you will be able to understand how to add auto instrumentation to get distributed traces from your code. How to collect and present them on a backend UI and analyze them to debug your application.

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