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This first article in our resilience series draws on a conversation with Mark Russinovich about how resilience is changing in the AI era and what it takes to continuously validate it at scale. What surprises me most about resilience failures is how ordinary the drift is. A workload is deployed across availability zones, but a…
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…
As technology continues to reshape every industry, organizations are transforming with cloud, data, and AI—ultimately resulting in smarter operations, better outcomes, and more impactful customer experiences. From global enterprises to fast-scaling startups, customers are putting Azure to work in powerful ways. To date, more than 26,000 customer projects have leveraged our offerings—Azure Migrate and Modernize…
Are you an AI leader or technical decision-maker struggling to scale and operationalize AI within your organization? You’re not alone. According to Microsoft’s annual report, The State of AI Infrastructure, 99% of organizations face challenges in scaling AI, and only 33% of leaders feel they have sufficient AI skills and talent. It’s clear that AI…
In our fast-paced digital economy, software development companies—technology-led businesses that build, operate, and sell their own software—are at the forefront of shaping what’s next. With deep technical expertise and modern engineering practices, these companies are key players in driving AI innovation across industries. As businesses look to modernize their apps, migrate to the cloud, and…