What is Microsoft Azure Data Storage?

What Is Microsoft Azure?

Microsoft Azure is a cloud computing platform for building and deploying applications and services that leverage Microsoft-managed data centers for compute and storage resources. The platform supports software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS).

What Is Microsoft Azure Used For?

As one of the largest cloud service providers on the market, Azure is widely used by businesses across all industries. Common use cases for Azure include:

• Big data analytics
• AI and machine learning
• Containers and virtual machines
• DevOps and continuous integration and continuous delivery (CI/CD) pipelines
• Cloud storage and computing
• Cloud infrastructure for games, enterprise software, websites, and mobile apps

How Do Microsoft Azure Containers Work?

Containers are standardized packages of software that bundle all the config files, libraries, and other dependencies they need to run. Containers make software modular, portable, and highly agile, giving you granular control over how you provision storage and compute resources.

You can deploy a production-ready Kubernetes cluster with Azure Kubernetes Services (AKS) or set up a DevOps-friendly CI/CD pipeline with Azure Red Hat OpenShift. Microsoft Azure empowers you to create your own Azure Container Instances (ACIs) which you can leverage to build your own cloud-based microservices.

How to Consolidate Your Azure Data Warehouse with Pure Storage

Looking for a way to consolidate your data resources across your on-premises and multicloud environments? Pure Cloud Block Store™ gives you a uniform interface for managing all your data storage resources. Benefits of consolidating your Azure data workloads with Pure Cloud Block Store include:

• Seamless data mobility across on-premises, public-cloud, and private-cloud environments for a true hybrid-cloud experience
• Industry-leading data compression, thin provisioning, and data deduplication
• Enhanced data resilience and disaster recovery with snapshots and high-availability clustering