Microsoft Azure

What is Microsoft Azure?

Microsoft Azure is a comprehensive cloud platform supporting a wide range of enterprise-grade solutions including virtual machines, data management, high-performance computing and much more.

Businesses deploy critical applications on Azure for improved reliability, enhanced resilience, and global availability. Beyond basic virtualisation, Azure offers platforms for Artificial Intelligence, Machine Learning, Container Orchestration, and Internet of Things (IoT) to name a few. These capabilities enable businesses around the world to power sophisticated data analytics initiatives, build predictive maintenance systems, as well as manage workloads that require real-time processing.

A robust developer ecosystem baked into Microsoft Azure also allows for seamless integration with services such as GitHub and Visual Studio, accelerating software release cycles.

All of this whilst also facilitating secure identity and access management through Microsoft Entra (formerly Azure Active Directory/AD), ensuring businesses implement zero-trust security principles across cloud and hybrid environments.

How can Microsoft Azure help your business?

Microsoft Azure delivers flexible solutions for companies seeking to modernise their business operations, reduce costs, and scale. Whether businesses need to host enterprise resource planning (ERP) applications, create disaster recovery strategies, host virtualised environments, or run data analytics at scale.

Predictive analytics, powered by services like Azure Machine Learning, assists with demand forecasting, customer insights, and product optimisation.

Azure Synapse Analytics integrates data warehousing and big data analytics, offering near-limitless analytics power to transform large datasets into actionable insights. By consolidating storage, processing, and analytics resources in a single environment, businesses reduce the complexity of data management and integrate intelligence throughout their workflows.

Microsoft Entra and Azure Privileged Identity Management (PIM) build on these capabilities, establishing a secure identity foundation. With the flexibility to scale up or down depending on demand, organisations can support seasonal peaks, adopt container-based microservices, and handle large-scale e-commerce transactions without draining budgets on unused hardware.

Our Approach

At TwentyFour IT Services we work with businesses to design tailored digital transformation and adoption strategies that align business growth plans. Initial assessments determine which workloads are best suited to the cloud, including business-critical processes, AI-driven data exploration, and IoT solutions requiring real-time monitoring. Our team of certified experts work with businesses to guide their migration to Azure, ensuring minimal disruption for users, providing training, and preserving essential data integrity.

If a phased approach is preferable for businesses with large data sets and data requirements, hybrid deployments are able to blend legacy infrastructure with cloud services, providing a stepping stone towards fully cloud-based operations.

Once environments are operational, we provide continuous monitoring and regular performance reviews identify potential areas for improvement, such as load balancing, backup processes, and cost management, ensuring that you are never paying for more than you need to. We have even supported businesses to save money where their existing Azure provider have not provided monitoring for this.

We also ensure that security remains a core focus throughout every stage of adoption and deployment; working with businesses to implement identity governance policies using tools like Azure PIM, as well as encryption and threat detection services to guard digital assets. Teams receive training and support to ensure optimal use of the entire Azure suite. Further details on Azure’s core features can be found in Understanding Azure article, while detailed information on identity services is available in Microsoft Entra and Azure PIM articles.