sneha cynix

1587989372

Azure Devops Components

Azure DevOps Components:
In the search to accelerate and simplify the DevOps process, we take a look at Microsoft’s Azure DevOps, a hosted service providing development and collaboration tool that was formerly known as Visual Studio Team Services (VSTS). Last year, Microsoft split VSTS into five separate Azure-branded services, under the banner Azure DevOps for a complete offering in public cloud that makes it easier for developers to adopt portions of the Azure DevOps platform, without requiring them to go “all in” like the former VSTS. Azure devops training online will help you to learn more effectively.

Azure DevOps supports both public and private cloud configurations – the services include:

Azure Boards – A work tracking system with Kanban boards, dashboards, and reporting
Azure Pipelines – A CI/CD, testing, and deployment system that can connect to any Git repository
Azure Repos – A cloud-hosted private Git repository service
Azure Test Plans – A solution for tests and capturing data about defects
Azure Artifacts – A hosting facility for Maven, npm, and NuGet packages

Each of these Azure DevOps services is open and extensible and can be used with all varieties of applications, regardless of the framework, platform or cloud. Built-in cloud-hosted agents are provided for Windows, Mac OS and Linux and workflows are enabled for native container support and Kubernetes deployment options, virtual machines, and serverless environments.

With all five services together users can take advantage of an integrated suite that provides end to end DevOps functionalities. But, since they are broken up into separate components, Azure DevOps gives users the flexibility to just pick which services to employ without the need to use the full suite.
For example, with Kubernetes having a standard interface and running the same way on all cloud providers, Azure Pipelines can be used for deploying to Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), Amazon Elastic Kubernetes Service (EKS), or clusters from any other cloud provider without requiring the use of any of the other Azure DevOps components. For more go through Azure cloud certification training

Embracing Azure DevOps
One of the main benefits for teams using Azure DevOps is developers will be able to work securely from anywhere and in any format and embrace open-source technology. Azure DevOps addresses the vendor lock-in problem from its early version by providing extensive integration with industry and community tools.

With the many integrations available, users can log in using SSO tools like Azure AD or communicate with their team via Slack integration while accessing both cloud and on-premises resources.

Azure Pipelines offers free CI/CD with unlimited minutes and 10 parallel jobs for every open source project and many of the top open-source projects already use Azure Pipelines for CI/CD, such as Atom, CPython, Pipenv, Tox, Visual Studio Code, and TypeScript.

Benefits of Azure DevOps
Azure DevOps use cases include:

Planning – Azure DevOps makes it easy for DevOps teams to manage their work with full visibility across products and projects, helping them keep development efforts transparent and on schedule. Teams can define, track, and layout work with Kanban boards, backlogs, custom dashboards and reporting capabilities using Azure Boards.
Developing – Allows teams to share code and collaborate together with Visual Studio and Visual Studio Code. Users can create automatic workflows for automated testing and continuous integration in the cloud with Azure Pipelines.
Delivery – Helps teams deploy applications to any Azure service automatically and with full control. Users can define and spin up multiple cloud environments with Azure Resource Manager or HashiCorp Terraform, and then create continuous delivery pipelines into these environments using Azure Pipelines or tools such as Jenkins and Spinnaker.
Operations – With Azure Monitor, users can implement full stack monitoring, get actionable alerts, and gain insights from logs and telemetry.

Pricing
As for Azure DevOps pricing, there are a lot of open-source tools that can be combined to deliver the functionality that Azure DevOps promises to provide, but the basic plan for open source projects and small projects is free up to five users. For larger teams, the cost can range from $30 per month for 10 users to $90 per month for 20 users and so forth.learn Azure online training more effectively.

In summary, Azure DevOps is an all in one focussed project tracking and planning tool mixed with Developer and DevOps tools for writing, building and deploying code that’s relatively quick and easy to use. But, while maintenance cost is decreased, developers only need an active subscription to have constant access to the latest version. Azure DevOps will indirectly utilize Azure Storage and compute services that will increase usage and impact costs.

#azuretraining #azurelearning #azureonlinetraining #azuredevopstrainingonline #azureonlinecourses

What is GEEK

Buddha Community

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

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

Osborne  Durgan

Osborne Durgan

1591093172

Create, Build, Deploy and Configure an Azure Function with Azure DevOps and Azure CLI

This post shows how to create, build, deploy and configure an Azure Function using Azure DevOps, Azure CLI and Powershell. An Azure Function is created in Azure using Azure DevOps with Azure CLI and Powershell. The Azure Function (V3) project is created and built using Visual Studio and C#. This project is deployed to the Azure infrastructure using a second Azure DevOps Pipeline. The Azure Function configuration settings is configured to use Azure Key Vault for secrets.

#asp.net core #azure #devops #.net core #azure devops #azure functions #cli #powershell

Ruthie  Bugala

Ruthie Bugala

1619601744

Azure Synapse Analytics Database CI/CD using Azure Function

In this article, I will discuss an Azure Database CI/CD approach using Azure Premium Function and Jenkins pipeline. I will only explain the architecture and the approach I took to implement the Database CI/CD pipeline.

Problem Statement and Challenges

I was working on a project where I had to build a Database deployment pipeline using enterprise GitHub which is only accessible through the company’s internal network. Also, port 1433 was blocked from the internal network to the Azure Synapse public endpoint for security reasons. Hence the only option I had was to run my pipeline in an internal network so that I could access GitHub which I was using for my Database Deployment Source Control and send the SQL code to Azure Synapse using Azure function HTTP post as port 1433 was blocked.

#azure #devops #azure-synapse-analytics #azure-devops #azure-functions