Azure Cost Management updates – January 2020
Welcome to a new year, a new decade, and an exciting roadmap full of cost management updates based on your feedback.
Discover insights and strategies tailored for business leaders, designed to navigate the complexities of the cloud and drive impactful decisions.
Welcome to a new year, a new decade, and an exciting roadmap full of cost management updates based on your feedback.
Today’s Q&A post covers an interview between Siddharth Deekshit, Program Manager, Microsoft Azure Site Recovery engineering and Quentin Drion, IT Director of Infrastructure and Operations, MSC.
Anomaly detection plays a vital role in many industries across the globe, such as fraud detection for the financial industry, health monitoring in hospitals, fault detection and operating environment monitoring in the manufacturing, oil and gas, utility, transportation, aviation, and automotive industries.
We’ve released our newest Azure blueprint that maps to another key industry standard, Center for Internet Security (CIS) Microsoft Azure Foundations Benchmark.
We are pleased to share that Azure is the first major US cloud provider to achieve certification as a data processor for the new international standard ISO/IEC 27701 Privacy Information Management System (PIMS).
In 2019, Azure Cost Management established a strong foundation that ensures everyone in the organization has a means to report on, control, and optimize costs.
This post continues our reliability series kicked off by my July blog post highlighting several initiatives underway to keep improving platform availability, as part of our commitment to provide a trusted set of cloud services.
It’s been a while Microsoft Azure Lighthouse went into general availability. We’ve had a tremendous response from the Azure Managed Services Provider (MSP) communities that Azure Lighthouse unlocks a multitude of hidden features.
A few months ago, we posted a survey to gather feedback on your experience with metrics in Azure Portal.
Processing Big data in real-time is an operational necessity for many businesses. Azure Stream Analytics is Microsoft’s serverless real-time analytics offering for complex event processing.
Since the general availability of Azure Data Lake Storage (ADLS) Gen2 in February 2019, customers have been getting insights at cloud scale faster than ever before.
Many customers have questions when it comes to managing cloud operations. How can I implement real-time cloud governance at scale? What’s the best way to monitor my cloud workloads? How can I get help when I need it?