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Azure devops services

Build top-notch apps & projects by combining your "Dev" & "Ops" teams efficiently

How Microsoft Azure DevOps services boost business growth?

  • Automate workflows and create fast deployements
  • Bring full visibility for shorter release cycles
  • Ensure governance with your cloud environment
  • Manage Resource configuration across entire system
  • Get Azure DevOps Consulting Services

Improve your performance efficiency of developing applications by increasing the collaboration between modern Development and Operations. DevOps can be the solution to acheive continuous delivery and continous integration(CI/CD) to bring in culture, methods, and processes to Plan, Develop, Deliver, and Operate phases of application development.

Leverage our expertise as Microsoft Gold Partners combined with technical experience to understand the complexities of the workflow process throughout the entire Application lifecycle management. We empower teams to manage their work with agility and visibility with custom dashboards, automatic workflows, control over multiple cloud environments & more.

Key Components & features of Azure DevOps


Deploy continuously by building & deploying with any platform, language, or cloud


Build Kanban boards, team dashboards, custom reporting, and scrum ready plans for traceability

Azure Repos

Unlimited repository hosting and support with Git hub connections and API integrations


Fully integrated package management for CI/CD Pipelines & easy sharing

Azure testplans

Manual and exploratory testing plans to improve code quality and capture rich data


Secure best practices from the beginning instead of auditing at the end with shift-left strategy

DevOps with Azure
DevOps with Azure

Azure DevOps service offerings

With Azure DevOps complement your existing workflows to achieve agile project managementand bring visibility across all the aspects of software development. With Azure Devops you can achieve CI/CD, Infrastructure automation, work management & plannning, release management, pipeline development, and more. Some of the key offerings include:

01 Strategy & Consulting

Deploy infrastructure on cloud with ease by building code with encrypted database migration and clustering provision with Kubernotes. Understand whether to work with Azure on-premise DevOps server or with cloud as per your needs with us.

02 CI/CD Setup

Avail enterprise grade solutions for continuous app development with cloud deployement architectures, tool chain development, and network configuration management to acheive a highly efficient CI/CD services. Make use of our 24x7 service support for unhindered co-ordination

03 Integration with Kubernetes

You can use Azure Pipelines to automatically deploy to AKS or Azure Kubernetes Services, with this you can bring out the balance between speed and security. This helps rapid iteration, testing, and debugging of different parts of an application together & with easy release

Automation with Azure Pipelines

Automation with Azure Pipelines Get Azure DevOps Consulting
Frequently Asked Questions

Azure Machine Learning comes as pay-as-you-go advanced and predictive analytics service that doesn't require complex setting up and infrastructure purchases. With the easy & flexible building interface you can drag & drop components which also has readily available well-known algorithms which makes it easier to bring insights to your data.

Key Features of Azure Machine Learning include compute options for varying machine learning workloads, use Jupyter notebooks/R Studio/Jupyter Labs in conjuction, use datastores to mount data from Azure Storage services, integrate with Github, and create machine learning models through an interactive GUI

Though there are multiple differences in the platform, the key difference lies in its usage and classification, Azure Databricks can be used as a General analytics tool whereas Azure Machine Learning is an MLaaS tool. The other differences are that though for scalability Databricks is better, Azure ML has better UI & is low-code. Databricks can be used for heavy data preparation and modeling whereas AMLS can be used for advanced analytics and deep learning

The most well known use case of Azure Machine Learning model is the short replies that are available on Outlook based on the content of the emails, some of the other use cases include sentiment analysis, building recommendation engines, demand forecasting, fraud detection, and more

Get Started On Your Data Journey with Azure DevOps

Why Polestar Solutions for your Azure DevOps needs?

  • 7+ Years of Professional Experience

  • Certified Microsoft Azure Experts

  • Faster Deployment

  • Top Cloud Solution Providers

  • 24*7 Customer Support

  • Established architectural planning

  • Low migration risk

  • Integrated microservices

Begin Your Azure Cloud Migration Journey Now!

Our highly-qualified & experienced professionals are ready to help you plan, prepare, and migrate to the cloud and empower your business.

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