Monday, November 26, 2018

Azure Cognitive Services in Containers

To build solutions with machine learning, requires a data scientist. Now Microsoft is enabling the cognitive services to take advantage of AI with developers, without requiring a data scientist. This is happening by getting machine learning models and the pipelines and the infrastructure needed to build a model and packaging it up into a Cognitive Service for vision, speech, search, text processing, language understanding, and more.
The advantage of this scenario is it is possible for anyone who can write a program to now use machine learning to improve an application. But if the developer tries to create Large scale applications using AI they face many problems on that. To overcome the problems Microsoft is introducing container support for Cognitive Services, making it significantly easier for developers to build ML-driven solutions.
This allows developers to build big AI systems that run at scale, reliably, and consistently in a way that supports better data governance.

Friday, November 16, 2018

Customer Lockbox for Azure

Azure is always try to ease up your data as much as confidential and secure. To improve much more Azure is introducing Customer Lockbox for Microsoft Azure.
What it does:
Customer Lockbox for Microsoft Azure is a service which is integrated into Azure portal.It gives you explicit control in the very rare instance when a Microsoft Support Engineer may need access to your data to resolve an issue.
Some instances may occur where a Microsoft Microsoft Support Engineer requires elevated permissions to resolve this issue such like debugging remote access issue.On that scenario Microsoft engineers use just-in-time access service that provides limited, time-bound authorization with access limited to the service.

Friday, November 2, 2018

Azure Monitor for Containers

Microsoft Azure team has released a useful tool for Azure Kubernetes Service (AKS) called Azure Monitor - container health monitoring capability. And it’s in public preview right now and developers are welcome to work on it. This will Enables to developers to track the health and performance of your Azure Kubernetes Service (AKS) cluster. Later, Microsoft will release new features and updates to onboarding and the portal experience.

What is Azure Monitor for container

Azure Monitor for containers works as the performance visibility by collecting memory and processor metrics from controllers, nodes, and containers that are available in Kubernetes through the Metrics API and Logs even. After User enable monitoring from Kubernetes clusters, these metrics and logs are automatically collected for you through a containerized version of the Log Analytics agent for Linux and stored in your Log Analytics workspace.