Mulesoft Cloudhub Deployment using Azure DevOps

Azure DevOps is a Microsoft SaaS platform that provides end to end DevOps toolchain for developing and deploying applications.

Here, we are going to implement an Azure pipeline for deploying Mule applications into Cloudhub.

Azure Repos is a repository for the source code which is managed by version control. We can have multiple repositories under a single project and multiple branches under each repository as per the requirement. Here is a sample project “DemoApp” under which there is a repository named “DemoApp”. It consists of a Mule application “demo-app-azure-DevOps”.

Edit pom.xml of the Mule application and include the below lines under both  and  sections

XML

1

<repository>  

2

     <id>xxxx</id>  

3

     <url>https://pkgs.dev.azure.com/xxxx/_packaging/xxxxx/maven/v1</url>

4

     <releases>  

5

        <enabled>true</enabled>  

6

     </releases>  

7

     <snapshots>

8

        <enabled>true</enabled>  

9

     </snapshots>

10

</repository>

article image

#devops #mulesoft #mule #cloudhub #azure devops #azure pipelines

What is GEEK

Buddha Community

Mulesoft Cloudhub Deployment using Azure DevOps

Mulesoft Cloudhub Deployment using Azure DevOps

Azure DevOps is a Microsoft SaaS platform that provides end to end DevOps toolchain for developing and deploying applications.

Here, we are going to implement an Azure pipeline for deploying Mule applications into Cloudhub.

Azure Repos is a repository for the source code which is managed by version control. We can have multiple repositories under a single project and multiple branches under each repository as per the requirement. Here is a sample project “DemoApp” under which there is a repository named “DemoApp”. It consists of a Mule application “demo-app-azure-DevOps”.

Edit pom.xml of the Mule application and include the below lines under both  and  sections

XML

1

<repository>  

2

     <id>xxxx</id>  

3

     <url>https://pkgs.dev.azure.com/xxxx/_packaging/xxxxx/maven/v1</url>

4

     <releases>  

5

        <enabled>true</enabled>  

6

     </releases>  

7

     <snapshots>

8

        <enabled>true</enabled>  

9

     </snapshots>

10

</repository>

article image

#devops #mulesoft #mule #cloudhub #azure devops #azure pipelines

How to Build and Deploy C# Azure Functions using Multi-Stage Pipelines in Azure DevOps

As part of my personal development, I’ve created a personal health platform that uses various different microservices (Built using Azure Functions) that extract data from my Fitbit account and store them in an Azure Cosmos DB database. I have other microservices that pass messages between different services via Azure Service Bus.

For this project, I use Azure DevOps to build my artifacts, run my unit tests and deploy my microservices to Azure. The great thing about DevOps is that we can do all of this within the YAML pipeline.

Yes I said YAML. Honestly, I don’t know what the fuss is all about 😂

In a previous post, I talked about how we can deploy NuGet packages to a private feed in Azure Artifacts using YAML pipelines. If you haven’t read that post yet, you can check it out below!

https://dev.to/willvelida/publishing-nuget-packages-to-a-private-azure-artifacts-feed-with-yaml-build-files-3bnb

In this article, we will turn our attention to building and deploying C## Azure Functions using a single build file.

#What we’ll cover

We’ve got quite a bit to cover, so I’ll break down my YAML file and talk about each stage in the following order:

  • Triggering a Build 👷‍♂️👷‍♀️
  • Using User-Defined Variables in our pipelines 👨‍🔬👩‍🔬
  • Defining Stages 💻
  • Building our project 🔨
  • Running our tests 🧪
  • Getting code coverage 🧾
  • Producing a Build Artifact 🏠
  • Using Secrets from Key Vault 🔑
  • Deploying our Function to Azure ⚡
  • Running our build pipeline 🚀

#azure #azure-devops #azure-functions #dotnet #devops #c#

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

Automating deployments to on premise servers with Azure DevOps

As someone who has spent most of their (very short) career doing one click cloud resource deployments, I was shocked when I jumped onto a legacy project and realised the complexity of the deployment process to staging and production. Using a traditional .NET Framework application stack, the deployment process consisted of the following steps:

  1. Set the configuration target in Visual Studio to release
  2. Build the project
  3. Copy the .dlls using a USB to a client laptop which was configured for VPN access
  4. Copy the .dlls via RDP to the target server
  5. Go into IIS Manager and point the file path to the new version of the application

As you can see and may have experienced, this is a long, slow and error-prone process which can often take over an hour given likelihood of one of those steps not working correctly. For me it was also a real pain point having to use the client laptop, as it had 3 different passwords to get in, none of which I set or could remember. It also meant if we needed to do a deployment I had to be in the office to physically use the laptop — no working from home that day.

My first step was to automate the build process. If we could get Azure Pipelines to at least build the project, I could download the files and copy them over manually. There are plenty of guides online on how to set this up, but the final result meant it gave me a .zip artifact of all the files required for the project. This also took away a common hotspot for errors, which was building locally on my machine. This also meant regardless of who wrote the code, the build process was always identical.

The second step was to** set up a release pipeline**. Within Azure Pipelines, what we wanted to do was create a deployment group, and then register the server we want to deploy to as a target within that deployment group. This will allow us to deploy directly to an on premise server. So, how do we do this?

Requirements:

  • PowerShell 3.0 or higher. On our Windows Server 2003 box, we needed to upgrade from PowerShell 2.0. This is a simple download, install and restart.
  • .NET Framework x64 4.5 or higher

Steps:

  1. Navigate to Deployment Groups under Pipelines in Azure DevOps:

Image for post

Deployment groups menu item in Azure DevOps > Pipelines

2. Create a new deployment group. The idea is you can have several servers that are in the same group and deploy the code to all of them simultaneously (for example for load balancing reasons). In my case I only have one target in my deployment group, so the idea of a group is a bit redundant.

#azure #azure-pipelines #deployment-pipelines #windows-server #azure-devops #devops

Nabunya  Jane

Nabunya Jane

1624939448

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

GitHub

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