Learn More About Azure DevOps Services

Azure DevOps Services is an umbrella term for a collection of modern application development services. These services are designed to help plan smarter, collaborate faster, and ship applications with confidence. With Azure DevOps, software developers and DevOps Experts can set up Continuous Integration / Continuous Delivery pipelines, collaborate via GIT source control tracking, and find bugs early with advanced testing.

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Learn More About Azure DevOps Services

Ajay Kapoor


DevOps Services Company | DevOps Consulting Services & Solutions

PixelCrayons: With robust DevOps solutions, our devops solution company helps businesses establish quick and transparent software delivery cycles, along with improving the quality of software solutions and setting up collaboration-driven, cross-functional software teams.

Since our establishment, our devops services company has provided DevOps outsourcing services to thousands of companies across the globe. Our services save their time & cost both with the fast time-to-market of their project.

Our advanced DevOps development services bring together people & technology, processes, and also automate software product delivery to offer continuous value to their customers. Our DevOps solutions company delivers software faster no matter how complex your project is or what technologies & tools you are using.

#devops development services #devops solutions company #devops companies in india #devops companies #devops services and solutions #devops services company

How to Extend your DevOps Strategy For Success in the Cloud?

DevOps and Cloud computing are joined at the hip, now that fact is well appreciated by the organizations that engaged in SaaS cloud and developed applications in the Cloud. During the COVID crisis period, most of the organizations have started using cloud computing services and implementing a cloud-first strategy to establish their remote operations. Similarly, the extended DevOps strategy will make the development process more agile with automated test cases.

According to the survey in EMEA, IT decision-makers have observed a 129%* improvement in the overall software development process when performing DevOps on the Cloud. This success result was just 81% when practicing only DevOps and 67%* when leveraging Cloud without DevOps. Not only that, but the practice has also made the software predictability better, improve the customer experience as well as speed up software delivery 2.6* times faster.

3 Core Principle to fit DevOps Strategy

If you consider implementing DevOps in concert with the Cloud, then the

below core principle will guide you to utilize the strategy.

  • It is indispensable to follow a continuous process, including all stages from Dev to deploy with the help of auto-provisioning resources of the target platform.
  • The team always keeps an eye on major and minor application changes that can typically appear within a few hours of development to operation. However, the support of unlimited resource provisioning is needed at the stage of deployment.
  • Cloud or hybrid configuration can associate this process, but you must confirm that configuration should support multiple cloud brands like Microsoft, AWS, Google, any public and private cloud models.

Guide to Remold Business with DevOps and Cloud

Companies are now re-inventing themselves to become better at sensing the next big thing their customers need and finding ways with the Cloud based DevOps to get ahead of the competition.

#devops #devops-principles #azure-devops #devops-transformation #good-company #devops-tools #devops-top-story #devops-infrastructure

Nella  Brown

Nella Brown


Azure Machine Learning training pipeline using CI/CD with Azure DevOps

When code checked trigger CI/CD using Azure DevOps


  • Azure Account
  • Azure Machine learning
  • Create a compute instance
  • Create a compute cluster as cpu-cluster
  • Select Standard D series version
  • Create Train file to train the model
  • Create a pipeline file to run the as pipeline


Create Train file as train.py

  • Create a directory ./train_src
  • Create a train.py
  • Should be a python file not notebook

#machine-learning #azure-devops #azure-machine-learning #devops #ci/cd

Nabunya  Jane

Nabunya Jane


A side-by-side comparison of Azure DevOps and GitHub

Collaboration is a crucial element in software development; having the right collaboration tools can make a difference and boost the entire team’s productivity. Microsoft introduced its Application Lifecycle Management product with Team Foundation Server (aka TFS) on March 16th, 2006. This software had to be installed on a server within your network and had a user-based license. To reduce the complexity of setting up and maintaining the server, Microsoft released Visual Studio Online–an Azure-based, server-hosted version of TFS. Microsoft manages and administers the servers as well as taking care of backups. To clarify its commitment to agile and DevOps, Microsoft rebranded Visual Studio Online in 2015 as Visual Studio Team Services and later as Azure DevOps in 2018.

Since its beginning, this platform has changed significantly. For example, it introduced a customizable, task-based build service, release gates, and much more. Many organizations across the world made a significant investment to run their businesses on Azure DevOps. For this reason, after Microsoft announced the acquisition of GitHub in mid-2018, GitHub announced its automated workflow system, which is much like Azure Pipelines. It’s called GitHub Actions. Due to the switch, some companies became afraid of having to migrate their practices again. In the past few months, I have gotten several questions about whether it is still worth starting new projects on Azure DevOps, especially after the release of features like GitHub Advanced Security and GitHub Codespaces (similar to Visual Studio Codespaces). In this article, I’ll clarify the differences between these two platforms, and I’ll give you some advice on how you should be using them to your advantage.

Data Residency

To meet the needs of companies that want to keep their data within their network, both GitHub and Azure DevOps provide a server version of their platform. GitHub version is called GitHub Enterprise Server, and the Azure DevOps version is called Azure DevOps Server. Both versions require the client to install and maintain both software and machine.

On the other hand, there is a critical difference between their cloud-hosted version. While Azure DevOps Service allows you to choose the Azure region, which is closes to your organization’s location, to decrease the eventuality of networking latency during the creation of your organization (collection of projects). GitHub doesn’t provide this feature.

Project management and bug tracking


At the core of GitHub project management, we can find the issues. This task can be used to track any work item, from feature to bugs, and can be sorted into a Kanban-style board for easy consultation. The issue’s description also supports markdown syntax. Adding a specific keyword #issue-number (ex: #3) can associate the issue with another one. Each issue can be assigned to multiple developers, be linked to pull requests, and have various labels assigned to it. One can link a pull request to an issue to show that a fix is in progress and automatically close the issue when someone merges the pull request.

GitHub Kanban board

  • Lastly, multiple issues can be grouped into milestones that will give immediate feedback about the completion percentage. Milestones can also include a due date.

#azure-devops #microsoft #azure #github #azure devops #azure devops and github

Nat  Kutch

Nat Kutch


NET Core app using Docker, Azure DevOps, Azure Container Registry

This is a guide on how to use Azure DevOps to build and then publish a docker image as an Azure App Service, using Azure Container Registry.


This guide assumes basic knowledge in Docker and more specifically how to create a Dockerfile. This docker cheat sheet provides a ready Dockerfile with explanations, plus an easy way to create your own Dockerfile from within Visual Studio. The guide also requires an account on Azure and Azure DevOps. The code is hosted in Azure DevOps, but almost any -accessible from Azure DevOps- version control system will do.

In the process that follows, we setup three things mainly; An Azure Container Registry to hold the Docker Image, an Azure DevOps Pipeline to build and push the image to the registry, and and Azure App Service that will continuously pull the image from the registry.

Steps to setup Azure Container Registry

In order to setup an Azure Container Registry, you will of course need to visit portal.azure.com first. After signing in, follow the next three steps to setup and configure Azure Container Registry correctly:

Step 1

Use the convenient search bar on top to search for “Container Registry“. Once the results are in, click on the left side on the “Container Registry” result, as shown here:

Azure Container Registry - Search

Step 2

Once you clicked on the correct result, the “Create Container Registry” form will appear and a few selections have to be made. The minimum changes required here, are to select the Subscription and Resource group you wish (you can also create a new recourse), and to write the Registry name you prefer. Change the Location and SKU if needed and click Create once done.

Azure Container Registry - Create

The Registry name is part of the Login Server for your Azure Container Registry. In this example it will be registryaspnetcoredockerdemo.azurecr.io.

Step 3

Enable the Admin user for this Container Registry. Although the admin account is designed for a single user to access the registry, mainly for testing purposes, in order to be able to use the current registry from an App Service and select image source and Continuous Deployment, the Admin user must be enabled. Find this resource and go to Access Keys to enable the Admin user, as shown below:

Azure Container Registry - Enable Admin User

Read more information about the Admin Account in Microsoft Docs

#azure #docker #azure app service #azure devops #devops