| |
| 🔗 Stories, Tutorials & Articles |
| |
|
| |
| Using ChatGPT for DevOps |
| |
| |
This article discusses the author's experience using ChatGPT-3 and OpenAI's Platform Playground in their work as a DevOps engineer.
The author was initially skeptical about ChatGPT's abilities, but after testing it by asking it to generate small Python and Bash scripts, they were impressed with the quality and syntax of the code it produced.
They then used OpenAI's Platform Playground to generate Terraform code for deploying Apache Airflow, which saved them days of work.
The author also asked ChatGPT technical infrastructure design questions and used it to troubleshoot errors. While they do not believe ChatGPT can replace DevOps engineers or SREs, they believe it can increase productivity and unblock engineers. |
|
| |
|
| |
|
| |
| Scale multiple Azure SQL databases on a logical server |
| |
| |
This tutorial demonstrates the process of using Azure Portal or PowerShell script to scale multiple databases in a logical server into an elastic pool and how to upgrade databases with geo-replication failover group.
It also highlights the need to exclude the master database and advises caution when modifying the parameters. Technical analysis available in the article. |
|
| |
|
| |
|
| |
| Training and deploying your PyTorch model in the cloud with Azure ML |
| |
| |
This article explains the benefits of moving PyTorch models to the cloud using Azure ML.
It suggests that training models in the cloud can handle larger models and datasets than those trained on local machines.
The author provides instructions for training and deploying a Fashion MNIST model using Azure ML, outlining the steps to follow. They recommend training the model locally and ensuring that it works as expected before moving to the cloud.
The article guides readers through the process of creating and running an Azure ML command job to train and deploy their model. |
|
| |
|
| |
|
| |
| Build Intelligent Applications using ChatGPT & Azure Cosmos DB ✅ |
| |
| |
Developers are increasingly relying on AI and machine learning to enhance their applications, and chatbots are becoming a highly sought-after delivery method.
In this tutorial, Sandeep Nair walks us through building a Cosmos DB ChatGPT sample application using OpenAI's service API. The blog post goes into detail on the sample application built, including the benefits of combining Azure Cosmos DB with ChatGPT to create an intelligent application. |
|
| |
|
| |
|
| |
| Dodge the next Dockerpocalypse: how to own your own Docker Registry address ✅ |
| |
| |
The article proposes using a "registry facade" that allows you to reference your images from a domain you control, without having to self-host forever or commit to any particular registry.
By creating a rule that returns 307 HTTP redirects from your domain to your chosen registry, you can ensure that your images are always available regardless of which registry you use.
The article provides a step-by-step guide on how to create this registry facade and avoid future Dockerpocalypses. |
|
| |
|
| |
