Announcements, Azure Load Testing, DevOps, Developer Tools
Published • 4 min read
Microsoft Azure Load Testing の一般提供を開始
フルマネージドのロード テスト サービス、Azure Load Testing の一般提供を開始することをお知らせします。
Showing 11 – 20 of 115 posts found
Announcements, Azure Load Testing, DevOps, Developer Tools
Published • 4 min read
フルマネージドのロード テスト サービス、Azure Load Testing の一般提供を開始することをお知らせします。
DevOps, How to, Management and Governance
Published • 3 min read
CLX is a personalized and self-paced journey that culminates in a certificate of completion—allowing you to maximize learning while minimizing time invested.
Azure Monitor, DevOps, How to, Management and Governance
Published • 4 min read
Our team has been busy bringing you a reliable, scalable, and secure monitoring service with Azure Monitor.
Azure Load Testing, DevOps, Developer Tools, Events, Microsoft Dev Box
Published • 5 min read
Developers are essential to the world we live in, and the work you do is critical to the success of organizations in every industry. Microsoft empowers innovators like you on your unique journey.
Announcements, Azure Managed Applications, Azure Monitor, DevOps, Management and Governance
Published • 2 min read
Announcing the general availability of Azure Managed Grafana, a managed service that enables you to run Grafana natively within the Azure cloud platform. With Azure Managed Grafana, you can seamlessly and securely connect with and scale to businesses’ existing Azure services, enhancing observability and cloud management.
Announcements, DevOps, Developer Tools, Microsoft Dev Box
Published • 3 min read
Today, we’re excited to announce the preview of Microsoft Dev Box is now available to the public. Microsoft Dev Box is a managed service that enables developers to create on-demand, high-performance, secure, ready-to-code, project-specific workstations in the cloud.
AI + Machine Learning, Azure DevOps, Azure Machine Learning, DevOps, How to
Published • 2 min read
The growing adoption of data-driven and machine learning-based solutions is driving the need for businesses to handle growing workloads, exposing them to extra levels of complexities and vulnerabilities. Here are some key approaches and tests for securing your machine learning systems against attacks with Azure Machine Learning using MLOps.
AI + Machine Learning, Azure DevOps, Azure Machine Learning, DevOps, How to
Published • 2 min read
The capacity of a system to adjust to changes by adding or removing resources to meet demand is known as scalability. Here are some tests to check the scalability of your MLOps model.
AI + Machine Learning, Azure DevOps, Azure Machine Learning, DevOps, How to
Published • 4 min read
Robustness is the ability of a closed-loop system to tolerate perturbations or anomalies while system parameters are varied over a wide range. There are three essential tests to ensure that the machine learning system is robust in the production environments: unit tests, data and model testing, and integration testing.
AI + Machine Learning, Azure DevOps, Azure Machine Learning, DevOps, How to
Published • 3 min read
Testing is an important exercise in the life cycle of developing a machine learning system to assure high-quality operations. In this blog, we will look at testing machine learning systems from a Machine Learning Operations (MLOps) perspective and learn about good case practices and a testing framework that you can use to build robust, scalable, and secure machine learning systems.