Category: AI + Machine Learning • 4 min read
We are excited to introduce Phi-3, a family of small open models with the capability of 10 times larger models, developed by Microsoft and optimized for Azure AI.
Azure Security Center, Security
Published • 1 min read
Recently the disclosure of a vulnerability (CVE-2019-5736) was announced in the open-source software (OSS) container runtime, runc. This vulnerability can allow an attacker to gain root-level code execution on a “host. runc” which is the underlying container runtime underneath many popular containers.
Azure Sphere, Internet of Things
Published • 3 min read
The Azure Sphere 19.02 release is available today. In our second quarterly release after public preview, our focus is on broader enablement of device capabilities, reducing your time to market with new reference solutions, and continuing to prioritize features based on feedback from organizations building with Azure Sphere.
Azure Monitor, How to, Management and Governance
Published • 2 min read
Our customers rely on Azure to run large scale applications and services critical to their business. To run services at scale, you need to setup alerts to proactively detect, notify, and remediate issues before it affects your customers.
Analytics, Announcements, Azure Data Lake Storage, Storage
Published • 5 min read
On February 7, 2019 we announced the general availability of Azure Data Lake Storage (ADLS) Gen2. Azure is now the only cloud provider to offer a no-compromise cloud storage solution that is fast, secure, massively scalable, cost-effective, and fully capable of running the most demanding production workloads.
Azure Site Recovery, Compute, Management and Governance
Published • 1 min read
Storage spaces direct (S2D) lets you host a guest cluster on Microsoft Azure which is especially useful in scenarios where virtual machines (VMs) are hosting a critical application like SQL, Scale out file server, or SAP ASCS.
Analytics, Azure Stream Analytics, Best practices
Published • 2 min read
Built-in machine learning models for anomaly detection in Azure Stream Analytics significantly reduces the complexity and costs associated with building and training machine learning models. This feature is now available for public preview worldwide.
To meet customer demand, Azure is continuously expanding. We’ve been adding new Azure regions and introducing new capabilities. As a result, customers want to move their existing virtual machines to new regions while adopting the latest capabilities.
API Management, How to, Integration
Published • 4 min read
The IT industry is experiencing a shift from monolithic applications to microservices-based architectures.
Analytics, Azure Stream Analytics
Published • 3 min read
Customers love Azure Stream Analytics for its ease of analyzing streams of data in movement, with the ability to set up a running pipeline within five minutes. Optimizing throughput has always been a challenge when trying to achieve high performance in a scenario that can’t be fully parallelized.
Analytics, Azure Blob Storage, Azure Stream Analytics, Storage
Published • 16 min read
Analytics in Azure is up to 14x faster and costs 94% less than other cloud providers; Announcing updates to 3 great Azure Data services; Azure Cost Management now GA for EA customers; and more.