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In this article Resiliency as a shared responsibility, not a handoff Platform foundations that reflect reality: zones, regions, and sovereignty Azure features and capabilities strengthen resiliency outcomes Bridging intent to execution through experiences on Azure How you can build Resilience in Azure Azure Essentials Resiliency in the cloud is often described in terms of availability,…
In this article Speed up AI and data-intensive workloads Scale cloud-native applications with shared storage Modernize enterprise applications with less disruption Build more with partners and ISVs Azure Files Linux workloads are evolving quickly as organizations modernize on-premises Linux applications, adopt cloud-native architectures, and build new AI and data-intensive pipelines in the cloud. As this…
Enterprise storage migrations are rarely just about copying data. They are about protecting business continuity, maintaining performance, managing cost, and giving teams confidence when terabytes or petabytes of data sit at the heart of critical applications. That confidence is difficult to build when migration planning is fragmented. Many organizations still rely on a patchwork of scripts, third-party tools, and…
This blog post is the second part of a blog series called Azure IaaS which will share best practices and guidance to help you build a trusted infrastructure platform—from performance, resiliency, and security to scalability and cost efficiency. Disruption should not be treated as an edge case. It is a reality organizations must be prepared to…
Modern cloud systems are expected to deliver more than uptime. Customers expect consistent performance, the ability to withstand disruption, and confidence that recovery is predictable and intentional. In Azure, these expectations map the three distinct concepts: reliability, resiliency, and recoverability. Explore technical methodologies with Azure Essentials Reliability describes the degree to which a service or workload…
Every organization has an innovation agenda. Whether it’s building AI-native applications, creating more engaging customer experiences, or unlocking new efficiencies—ambition is never the problem. But for many teams, it’s their technical debt that stands in the way. Legacy systems, outdated codebases, and fragmented infrastructure slow progress and drain resources. In fact, over 37% of application portfolios require modernization today—and that number will remain high over the…