If you’re an organization which is looking to move your legacy system to the Cloud, we have the full capacity in doing so. This would involve the moving of your applications, data, and other business systems from an organization’s local (on-premises) servers to a cloud-based infrastructure.

• Migrate planning: Azure Migration Service
• Data Migration: Azure Data Box
• Server Migration: Site Recovery
• Database Migration: Database Migration Service

Transform your applications with our end-to-end modernization expertise, leveraging your preferred technology stack. We specialize in creating cloud-native applications, uniquely designed to maximize the capabilities of the Microsoft Azure platform, ensuring superior performance and scalability.  App modernization helps businesses leverage new and emerging technologies, increase agility, improve user experience, and reduce the cost of maintaining outdated systems.

• On Prem App Host in Azure VM
• Azure SQL Database for relational databases & for NoSQL databases, Azure Cosmos DB.

Seamlessly integrate your applications, data, and processes by doing Extract, Transform and Load. Microsoft Azure offers a suite of integration services to seamlessly connect applications, data, and processes through Extract, Transform, and Load (ETL) operations. In this process, data is extracted from various sources, transformed through cleaning, standardizing, enriching, and validating, and then loaded into the target structure.

Azure’s integration services facilitate this process, ensuring smooth and reliable data integration. The combination of these services empowers businesses to handle their data more effectively, aiding in the decision-making process and enhancing overall operational efficiency. With the support of these integration services, businesses can better harness the power of their data, unlocking valuable insights and driving strategic initiatives.

• Azure Logic Apps:  building and running workflows. It allows you to integrate and connect hundreds of different services (both on-premises and cloud-based), and build powerful business processes and workflows without having to write code. 
• Azure Service Bus: cloud-based messaging system for connecting applications, services, and devices running anywhere. It’s particularly useful for decoupling applications and services from each other, allowing them to scale, evolve, and fail independently. 
• Azure Event Grid: event-based application creation and helps maintain high security, true scalability and low-latency infrastructure for managing events. 
• Azure API Management: This allows you to create, manage, secure and scale APIs. With this service, you can take any backend system, hosted anywhere, and expose it through a secured, scalable API. 
• Azure Data Factory: This is a cloud-based data integration service that allows you to create data-driven workflows for moving and transforming data at scale. 
• Azure Functions: This is a serverless computing service that lets you run small pieces of code (functions) without worrying about a whole application or the infrastructure to run it. It can be used to react to events or changes in data and carry out integration tasks. 
•  Azure DevOps: Whilst, this is not strictly an integration service, Azure DevOps provides developer services for support teams to plan work, collaborate on code development, build and deploy applications.

In today’s data-driven world, the exponential growth of data poses new challenges. Microsoft Azure’s advanced data connectors, solution accelerators, and integration capabilities empower businesses to make faster decisions. With our expertise in big data platform implementation, data processing, visualization, analytics, and data science, we provide comprehensive end-to-end big data and data engineering services. From data orchestration to predictive analytics, our solutions drive actionable insights and enable organizations to navigate the vast landscape of data with confidence. Experience the power of our integrated data services for transformative business outcomes.

• Azure Databricks: This is an Apache Spark-based analytics platform optimized for the Microsoft Azure cloud services platform. It provides a collaborative environment where data scientists, data engineers and business analysts can work together. 
• Azure Synapse Analytics: Formerly SQL Data Warehouse, Synapse Analytics is an integrated analytics service that accelerates the delivery of insights from all your data. It provides on-demand or provisioned resources and helps with big data and data warehousing. 
• Azure Data Lake Storage: This is a highly scalable and secure data lake that allows you to store and analyze large amounts of data. 
• Azure SQL Data Warehouse: It is a cloud-based Enterprise Data Warehouse (EDW) that leverages Massively Parallel Processing (MPP) to quickly run complex queries across petabytes of data. 
• Azure HDInsight: This is a fully managed cloud service that makes it easy to process big data using popular open-source frameworks such as Hadoop, Spark, and Kafka. 
• Azure Analysis Services: It is a fully managed platform as a service (PaaS) that provides enterprise-grade data models in the cloud. 
• Azure Stream Analytics: It is a real-time analytics and complex event-processing engine that is designed to analyze and visualize streaming data in real time. 
• Azure Machine Learning: A cloud-based environment that you can use to train, deploy, automate, manage, and track ML models. 

Using a microservices architecture, it allows for independent deployment and scaling of services, leading to better resource utilization and potential cost savings. Development speed and productivity can increase, as teams work independently on different services. DanIT is able to provide a comprehensive support model for this technology with the guidance on how best Microservices could be deployed to bring an overall benefit to the organization.

• Azure Kubernetes Service (AKS): AKS is a managed container orchestration service provided by Azure, which is more and more used for the microservices architecture in cloud applications. AKS simplifies the deployment, scaling, and operations of Kubernetes, by taking care of the underlying infrastructure. 
• Azure Container Registry: This is a managed Docker registry service based on the open-source Docker Registry 2.0. Container Registry is private, it hosts your images for all types of container deployments. 
• Azure Container Instances (ACI): Azure Container Instances offers the fastest and simplest way to run a container in Azure, without having to manage any virtual machines or adopt a higher-level service.