evelopers and Ops teams require insight into how their deployed applications are performing. By utilizing Datadog with your Azure deployments, on-prem, or even in a multi-cloud solution, you’ll get a single dashboard to see all the infrastructure you are managing.
Welcome to this week's roundup of content from the Azure DevOps community. We've got plenty of new content to cover! Be sure all your posts you'd like included in future editions of the top stories are tagged with #AzureDevOps!
This series provides you with 16 different cookbooks to begin building applications using Azure Static Web Apps. You’ll learn what the SWA service is, what tools you’ll need to work with it, how CI/CD fits in, and much more.
Dojos at Microsoft learn DevOps through Experiential Learning. To embrace the DevOps culture of experimentation, we various experiments in DevOps learning, it includes learning from experts and peers, self-learning, learning through teaching, writing, and playing, learning through pairing, and learned how to unlearn and relearn.
This is part two of our series on Azure Data Factory. Last time Mark helped get us on the road to understanding how to best get our data into the cloud by using the linked services and tools with Azure Data Factory. Data Factory contains a series of interconnected systems that provide a complete end-to-end platform for data engineers.
It's Friday which means there's a new batch of content from the community to share. We have new posts on pipelines, DevSecOps, and Bicep to share with you. Let's get into it!
For the June patches, we are releasing fixes that impact our self-hosted product, Azure DevOps Server. Check out the blog post for more details.
This week on AzureFunBytes, I am joined by Principal Program Manager, Mark Kromer about how to store and process our big data with Azure Data Factory. Mark will discuss the ETL (Extract, Transform, Load) process that gets our data into Azure Data Factory. I ask Mark how can we transfer the data we might have to Azure?
Welcome back DevOps Community! Every week we see you all producing incredibly valuable content on DevOps subjects. This week is no different as we dive into testing, data, and deployment pipelines.
Databases are complex beasts from an operational standpoint. There are a number of tasks that in the past had been laid at the feet of people known as Ops or DBA. Those tasks typically involve scaling your database servers, handling performance, ensuring backups, and monitoring. Let’s not forget licensing for your Enterprise database server.
