What Microsoft Azure Software Development Services Can Bring You
Among cloud platforms, Azure stands out with unique features to help build robust and feature-rich multi-cloud apps. With years of experience as a leading Microsoft Azure Software Development service provider, we have found that Azure migration proves beneficial with:
All-Business Cloud Platform
Developed by the second largest cloud provider (Microsoft) on the current market, Microsoft Azure cloud exhibits plentiful PaaS functionality and integrable SaaS products productive for:
SaaS Startups
Small and Mid-Sized Businesses
Businesses Using In-house Microsoft Products
Featured Services of Microsoft Azure
Via Microsoft-controlled service centers, you can enjoy the world-class and advanced application management made possible with Azure cloud technology. This versatile cloud would never disappoint you as it offers software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS) as well as supports various programming languages, tools and frameworks of both Microsoft-specific and third-party systems.
- Azure Functions — Server-free event-triggered and request-based computing at any required size with declarative access to Azure and third-party services.
- Azure CycleCloud — Vigorously-scaled computing, networking and caching environment for high-speed data processing.
- Virtual Machine Scale Sets — Internal management of automatically scaled and actively balanced virtual machines for huge workloads and big data.
- Azure VMware Solution — VMware-compatible service for migration and control of your series of VMs at any required size.
- Container Instances — Managing adjustable isolated containers (ACIs) in Azure's server-free environment.
- Azure Kubernetes Service — An indigenous Kubernetes arrangement tool integrable with various Microsoft Azure Software Development Services.
- Azure Red Hat OpenShift — Operating OpenShift container groups in Azure environment monitored by Microsoft and Red Hat.
- Azure Service Fabric — Cross-platform service to configure and control containers with on-demand adjustability.
- Azure SQL Database — Developing scalable relational databases.
- Azure Cosmos DB — Swift clustered NoSQL database with multi-version sub-DBs engineered in each cluster for horizontal scalability.
- Azure Cache for Redis — Supervision of allocated Redis server instances producing low latencies through caching.
- Azure Database for MySQL/PostgreSQL/MariaDB — Data virtualization services to carry out scalable databases.
- Azure Database Migration Service — DB migration wizard for automatic transfer of workloads.
- Blob Storage — Scalable data control service allowing high-throughput handling of unorganized data for big data applications.
- Azure Data Lake Storage — Safe data lake control platform constructed around Blob storage and incorporated with analytics frameworks.
- Azure Disk Storage — Depository for Azure VMs with an array of choices for SSDs and HDDs.
- Azure Files — File share management service aiding the SMB protocol in compatibility with Windows, Linux and macOS.
- Azure HPC Cache — Caching of on-premises and cloud data for high-yielding computing tasks.
- Azure Backup — Snapshot recovery/backup tool allowing encryption and elongated data retention time.
- Virtual Network — Environment guaranteeing safe and disruption-free communication among your on-premises and Azure-hosted resources.
- Load Balancer — Ultimate allocation of inward traffic loads conforming with the specified rules and backend instance performance.
- Azure DNS — Readily available domain hosting guaranteeing speedy DNS queries.
- Azure ExpressRoute — Broadband connection to services of Azure cloud avoiding the public internet.
- Content Delivery Network — Global network of edge servers to cache and allocate content at the minimal latencies.
- Azure Active Directory — Identity and access monitoring tool for Microsoft products and applications operating in Azure.
- Azure Firewall — Monitoring security discipline and traffic filtering across your whole virtual network.
- Azure DDoS Protection — DDoS management and mitigation tool that studies traffic fluctuations to adjust security policies.
- Web Application Firewall — Firewall service with internal protection of web applications to block malpractices such as SQL injections, cross-site scripting, and the like.
- App Service — Full-cycle development of web applications and mobile back ends with included SDKs, containerization and arrangement features.
- Visual Studio App Center — Self-sufficient development environment for mobile (Android and iOS) and desktop (macOS and Windows) applications.
- Azure Maps — Geospatial services and SDKs for geography-related context in apps.
- API Management — Internal management of all APIs within hybrid and multi-cloud infrastructures.
- Service Bus — Message intermediary allowing various protocols for async communication among apps and services.
- Event Grid — HTTP-event routing tool for server-free apps and microservices.
- Azure API for FHIR — Health data control service supporting management of protected health data with FHIR compliance.
- Azure Pipelines — CI/CD control tool for automatic developing, testing and deployment of code to containers, virtual machines and Azure Services.
- Azure DevTest Labs — Building and testing environments self-controlled by programmers within specified quotas and policies.
- Azure Repos — Limitless Git repositories with centralized CI/CD set and push-pull policy management.
- Azure Boards — Project management environment for outlining and monitoring development workflows integrable with multiple third-party upgrades.
- Azure Test Plans — Quality assurance solution aiding the creation and trace testing situations as well as the collecting and processing of user feedback.
- Azure Artifacts — Package monitoring tool allowing multiple types and sources of package feed in your CI/CD pipelines.
- Azure Synapse Analytics — Handling live and aggregated data (big data included) at lightning speeds.
- Embedded Power BI — Adjustable analytics solutions fixed in Azure-hosted applications at a static price.
- HDInsight — Operating open-source analytics solutions such as Apache Hadoop, Spark, and Kafka in Azure.
- Data Lake Analytics — On-demand big data examination with appropriate tools to advance reserved computing nodes.
- Azure Stream Analytics — Actual time data analytics for disruption-free streams of cloud and edge data.
- Azure Databricks — Apache Spark-driven analytics of high scalability for data both at rest and in transit.
- Data Factory — No-code developing hybrid ETL/ELT pipelines.
- Azure Machine Learning — Drag-and-drop building mechanism, deployment and control of ML models.
- Text Analytics — Provision of statistically extracted insights and sentiments from structureless texts.
- Azure Cognitive Services — AI APIs, templates and domain-specific situations for AI viable on-premises and in the cloud.
- Azure Bot Service — No-code generation of AI bots and computer-generated assistants incorporated into diverse communication channels.
- Bing AI Services — AI-driven search capacity with the Bing search engine.
- Language Understanding — ML-driven recognition of human speech for machine-human communication.
- Computer Vision — Engine for visual data processing.
- Custom Vision — Computer vision models with templates scalable for specific domains and situations.
- Azure IoT Central — Mighty IoT platform allowing convenient management of an IoT ecosystem.
- Azure IoT Solution Accelerators — IoT assistant service assisting in constructing IoT networks based on instant domain-specific scenarios.
- Azure IoT Hub — Organizing highly-secured communication between IoT devices and apps.
- Azure Digital Twins — Context-oriented prototyping of adjustable IoT spaces and operations for PoC purposes.
- Azure Time Series Insights — Actual time handling and visualization of IoT data.
- Azure Sphere — Hardware and software IoT solutions for well-protected communication of multiple devices.
- Azure Blockchain Service — Code-free generation of scalable blockchain infrastructures.
- Azure Blockchain Workbench — Application prototyping of blockchain.
Common Use Cases for Microsoft Azure
Check out the uses of Microsoft Azure as described below to better understand its versatility and the reasons behind its rising popularity as a top-pick cloud.
- Semi-automatic data migration and hosting of legacy apps.
- Cloud-based app platform.
- Data warehouse and data lake.
- Constructing top-notch solutions with readily available services: AI, big data, IoT, blockchain, computer vision, and the like.
- Native integration with Microsoft products: Office 365, Dynamics 365, and Power BI.
- Both perimeter and intra-component firewalls and tools for monitoring and security automation.
- Computer-generated networking bridging services (VPN, Virtual WAN, and Private Link).
- Single-point infrastructure monitoring via Azure Arc.
- Native SIEM and SOAR solutions (Azure Security Center and Azure Sentinel).
- Identity and access control via Azure Active Directory for federated authentication.
- Simultaneous occurrence of on-premises Azure environments, services and customers with the Azure cloud.
- Single-spot management of broadly evolving IT infrastructures with Azure Resource Manager.
- Global content delivery and edge cloud computing.
- Consolidated security management for cloud and on-premises IT components.
- Various cloud services for app enhancement: AI, analytics, computer vision, IoT and blockchain.
- Globally-scattered content delivery network.
- Low latency on-demand computing for improved end user experience.
- Adjustable server-free data storage.
- CI/CD and IaC services for website and mobile development.
- Indigenous containerization services and arrangement tools.
- DWH and analytics single-point monitoring – Azure Synapse Analytics.
- Employment of server-free and virtualization of deep brain stimulation (DBS).
- Big data.
- Building ML models that require no tech expertise.
- Automation-driven database migration.
- Collection and storage of structureless and structured data in Azure Synapse Analytics.
- Azure Data Lake Storage.
- Cosmos DB – adjustable and world-wide available DB structures.
- Actual time big data handling with Azure Stream Analytics and Spark-driven Azure Databricks.
- Open-source data analytics engines incorporated via HDInsight (Apache Hadoop, Spark, and Kafka).
- Object identification and data extraction services.
- Equipment-driven software development toolkits (SDKs) for spatial computing.
- APIs for computer vision with a broad portfolio of use situations.
- IoT devices manipulated and connected to Azure services through Azure IoT Hub.
- Intelligent analytics for live and logged IoT data in Azure Time Series Insights.
- Hardware and software for IoT high security.
- Encrypted data both in transit and at rest.
- Native SIEM, perimeter and intra-component security and access control services.
- FHIR-compliant APIs for highly-protected data exchange.
Case Studies
We take pride in our superior Microsoft Azure Software Development Services. With unrivaled expertise and best-in-class work philosophy, we are confident that we should be your go-to outsourcing software partner whenever you need some technical assistance for your Azure projects in particular and any software ones in general. Let’s cooperate to achieve the best outcomes together: your success and satisfaction is our priority!
Salesforce and Call-Center Integration - Successful AppExchange Submission
A secure, enterprise-grade call-center integration solution, built with robust Apex and Lightning Web Components (LWC), successfully connected a leading cloud telephony system to Salesforce. This project went through a stringent process of Salesforce AppExchange Security Review, culminating in a stable, verified product submitted to the platform.
DevelopmentIntegrationTechnologyCRM +7
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Desk and Room Booking Solution Case Study
A centralized, user-friendly room booking system that not only simplified desk and meeting room reservations but also optimized workspace utilization, empowered smarter decision-making through real-time analytics, and ultimately supported a more agile, productive working environment.
Web PortalsBusiness IntelligenceDevelopmentIntegration +10
View case study 
AI Chatbot Integration for Digital Marketplace: A Case Study
HDWEBSOFT integrated an AI chatbot into a digital marketplace app to deliver real-time recommendations and automated marketing assets for creators.
DevelopmentIntegrationRetailChatbots & Assistants +6
View case study Frequently Asked Questions (FAQs)
Azure is a platform that enables the streamlined development of contemporary applications. You can deploy your applications exclusively on Azure or incorporate Azure services into your existing on-premises applications. When using Azure, you can create easily scalable, dependable, and manageable applications.
Azure is a cloud computing platform that offers various solutions such as Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). These solutions can be utilized for different services, including analytics, virtual computing, storage, networking, and many others.
Azure allows businesses to start small, grow over time, and convert costs to operational expenses (OPEX). In addition, Azure's resources are available globally and provide virtual machines, mobile apps, web apps, and more. Azure offers a security and reliability solution, making it ideal for startups and small businesses. Contact HDWEBSOFT expert for more information.
Businesses can make the most of advanced analytics and automation capabilities through Azure's integration with artificial intelligence (AI) and machine learning (ML) services. With the help of Azure Machine Learning, businesses are empowered to construct, educate, and release ML models, which lets them receive valuable insights from their data.