Part 6: Introducing Deployment Stacks to Azure Data Factory
Dive into Part 6 as we explore the integration of Azure Deployment Stacks into Azure DevOps Pipelines. Discover how to remove unused resources from your Azure Data Factory as part of your CI/CD Process!. Stay tuned for a deep dive into deployment stacks and their impact on Data Factory efficiency.Azure OpenAI GPT model to review Pull Requests for Azure DevOps
In recent months, the use of Generative Pre-trained Transformer (GPT) models for natural language processing (NLP) has gained significant traction. GPT models, which are based on the Transformer architecture, can generate text from arbitrary sources of input data and can be trained to identify errors and detect anomalies in text. As such, GPT models are increasingly being used for a variety of applications, ranging from natural language understanding to text summarization and question-answering. In the software development world, developers use pull requests to submit proposed changes to a codebase. However, reviews by other developers can sometimes take a long time and not accurate, and in some cases, these reviews can introduce new bugs and issues. In order to reduce this risk, During my research I found the integration of GPT models is possible and we can add Azure OpenAI service as pull request reviewers for Azure Pipelines service. The GPT models are trained on developer codebases and are able to detect potential coding issues such as typos, syntax errors, style inconsistencies and code smells. In addition, they can also assess code structure and suggest improvements to the overall code quality. Once the GPT models have been trained, they can be integrated into the Azure Pipelines service so that they can automatically review pull requests and provide feedback. This helps to reduce the time taken for code reviews, as well as reduce the likelihood of introducing bugs and issues.Azure DevOps Customize Email Notifications using Power Automate
Azure DevOps email notifications are great, sometimes project team members doesn’t want to get notified for each and every state change in a User Story, Tasks and Bug and only a specific few want to get to notified whenever a bug is created or closed (skipping the intermediate states). And some team members ask for all the fields in the email body they want additional fields instead of the fields that were changed. This article will help you to setup Azure DevOps customize email notification as per customer requirement.Azure DevOps Pipelines: Practices for Scaling Templates
When starting to leverage YAML Pipelines at scale you are most likely going to gravitate towards a solution that leverages a consolidated template repository. Since we will have multiple pipelines calling the same repository it's important we get guidance on how to start and structure this new repository, so it scales with our organization and their pipeline adoption.
Utilizing Azure Key vault with Private link in DevOps
Azure Key Vault is a cloud service that provides secure storage and access to secrets such as API keys, passwords, certificates, or cryptographic keys. To enhance security and disable public access, Azure Key Vault can be integrated with Private Endpoint powered by Azure Private Link. This private endpoint uses a private IP address from your VNet and brings the service into your VNet, effectively eliminating exposure from the public Internet by traversing traffic between your virtual network and the service over the Microsoft backbone network.Azure DevOps Pipelines: Discovering the Ideal Service Connection Strategy
Embarking on the journey of deploying code into Azure through Azure DevOps brings forth a crucial question: how should your DevOps environment communicate with your Azure resources? In this in-depth exploration, we dive into the intricacies of configuring Service Connections and unravel the decision-making process surrounding their deployment.Setup Azure DevOps Self Hosted Agent On-Premise & Troubleshooting Guidelines
Azure DevOps supports the deployment of the builds from release pipelines to the on-premise environments using self-hosted pipeline agents. This article describes creating an Azure DevOps self-hosted agent in an on-premise Windows machine and some standard troubleshooting steps in case any issue.
