MLOps Blog Series Part 2: Testing robustness of secure machine learning systems using machine learning ops
Robustness is the ability of a closed-loop system to tolerate perturbations or anomalies while system parameters are varied over a wide range.
Robustness is the ability of a closed-loop system to tolerate perturbations or anomalies while system parameters are varied over a wide range.
Testing is an important exercise in the life cycle of developing a machine learning system to assure high-quality operations.
Since 2009, Microsoft and SUSE have partnered to provide Azure-optimized solutions for SUSE Linux Enterprise Server (SLES).
Welcome to Microsoft Build, the event that’s all about celebrating the developer community! The work you do has the power to transform entire industries and keep critical businesses and services running through innovative solutions and applications.
Autoscaling is one of the value levers that can help unlock cost savings for your Azure workloads by automatically scaling up and down the resources in use to better align capacity to demand.
In building and running a business, the safety and security of you and your customers’ sensitive information and data is a top priority, especially when storing financial information and processing payments are concerned.
Our customers are transforming their digital environments, whether migrating workloads to Azure, building new cloud-native apps, or unlocking new scenarios at the edge. As they combine these strategies to meet their business needs, they must also maintain their existing environments.
When we launched Azure Spring Cloud with VMware in 2019, we set out to solve common challenges developers, IT operators, and DevOps teams face when running Spring Boot applications at scale.
Today, we’re excited to announce the completion of the project’s first two milestones—the preview of VM availability data in Azure Resource Graph, and the private preview of a VM availability metric in Azure Monitor.
Today, we are announcing the preview of Azure Load Testing, a fully managed Azure service that enables developers and testers to generate high-scale load with custom Apache JMeter scripts and gain actionable insights to catch and fix performance bottlenecks at scale.
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.
Over the past two years, customer feedback has made it clear that when data barriers are dissolved the impact of analytics grows exponentially.