The continuous monitoring of health metrics is a fundamental part of this process, and this is where AIOps plays a critical role. In the post that follows, we introduce how AI and machine learning are used to empower DevOps engineers, monitor the Azure deployment process at scale, detect issues early, and make rollout or rollback decisions based on impact scope and severity.
Over the past two years, customer feedback has made it clear that when data barriers are dissolved the impact of analytics grows exponentially. Today, we’re announcing the next step in bringing data insights to all by eliminating the barrier between business applications and analytical systems with Azure Synapse Link for Microsoft Dataverse.
Customers around the world take advantage of Microsoft Azure to build, deploy, and manage business-critical applications at scale. We continuously innovate to help customers simplify their app deployment and management experience so they can spend more time building great solutions. Today, we are announcing several additional Azure infrastructure capabilities to help achieve this goal.
We are committed to open source at Microsoft. We contribute to Linux, Kubernetes, Visual Studio Code, and serving in open source organizations like the Cloud Native Computing Foundation (CNCF) or Open Source Security Foundation (OpenSSF). At Microsoft Build, we are sharing our latest work to enable developers to develop flexibly and innovate quickly on Azure.
It is Microsoft's mission to empower the next generation of developers with world-class tools and cloud services that allow them to build the applications of the future. These applications of the future will be intelligent, infused with AI to provide advanced insights. They will incorporate open source technology and libraries from across the globe. They will be reliable under load and secure by design. And they will be built with tools that allow developers to move from idea to code to cloud, seamlessly.
Our commitment to developers is to make Azure the best cloud for developing intelligent applications that harness the power of data and AI. At Microsoft Build, we are announcing several exciting new capabilities and offers that make it easy and cost-effective for developers to get started with Azure data and AI services.
Microservice architectures are becoming more prevalent, and developers are building more applications on cloud platforms using containers and managed services. The Java ecosystem is complex and running Java applications in the cloud at an enterprise scale can be challenging. Our customers are asking us to help them modernize their Java applications and run them on an enterprise-grade platform—Java on Azure.
At Microsoft Ignite we announced new GitHub Actions for Azure, which we added to our growing catalogue of Azure and GitHub integrations, with more to come soon.
This post is designed to get you thinking about how best to validate typical failure conditions, including examples of how we at Microsoft validate our own systems.
The cloud has surged to the center of the recent digital transformation efforts, by quickly creating new solutions securely and reliably, meeting new business challenges, and driving transformation with continuous technological innovation.