Listening to millions of IoT building sensor readings with load testing
Making sure all the experiences your employees encounter during a given workday are seamless and productive is crucial to your organization's success. Read the blog to gain insight on how Microsoft is empowering every person and every organization around the globe to achieve more with transformative new technologies.
What is the purpose of load testing at Microsoft?
Load testing helps Microsoft process millions of daily IoT sensor readings in its facilities, ensuring that data about room occupancy, temperatures, and other factors is available in near real-time. This timely information is crucial for tasks like booking meeting rooms, which can significantly enhance employee productivity and overall experience.
How does Microsoft handle IoT sensor data?
Microsoft employs a Digital Integration Platform powered by Azure Digital Twins to manage IoT sensor data across over 300 buildings globally. This platform allows for simultaneous processing of data from various sensors, ensuring system stability and reliability while handling an expected growth from two million to around 30 million readings per day.
What methodologies are used for load testing?
The Microsoft team gathers baseline load data and conducts various tests, including peak load and endurance runs, to evaluate system performance under stress. They utilize tools like Apache JMeter and Azure Kubernetes Service to simulate real-life scenarios, ensuring the platform can handle current and future demands effectively.

Listening to millions of IoT building sensor readings with load testing
published by DynAsset
We are an experienced Microsoft Dynamics Specialist & Solution Architect with a demonstrated history of working in information technology and services industry. Besides that we are also an expert in motivating and coaching enterprise customers, implementation teams and partners through critical implementations, upgrades and migrations of Microsoft Dynamics 365.
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Microsoft Dynamics 365, 2016, 2015, 2013, 2011 and 4.0 (CRM)
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