#Azure #Monitor can collect data directly from your Azure virtual machines into a #Log #Analytics workspace for detailed analysis and correlation. #Installing the Log Analytics #VM #extension for Windows and #Linux allows Azure Monitor to collect data from your Azure VMs. This #itechnets shows you how to configure and collect data from your Azure Linux or #Windows VMs using the VM extension with a #few easy #steps.
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#Chef announced a number of new #products #designed to enable coded #enterprises to work across silos to build competitive advantage through automation.

The newly introduced Chef #Compliance and Chef #Desktop, in #addition to notable enhancements to Chef’s application delivery capabilities, help organizations enforce and maintain compliance; deploy, manage, and #secure desktop, #laptop and kiosk #workstation fleets and accelerate #application definition and delivery..

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You can plan and manage your Amazon EFS file system costs by using #AWS #Budgets.

You can work with AWS Budgets from the AWS Billing and Cost Management console. To use AWS Budgets, you create a monthly cost budget for your #EFS file #systems. You can set up your budget to notify you if your costs are #forecast to exceed your budgeted #amount, and then make adjustments to maintain your budget as needed.

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#Amazon #Lex is a #service for building conversational interfaces into any #application using voice and text. Amazon Lex provides the advanced deep #learning functionalities of automatic speech recognition (ASR) for converting speech to text, and #natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences #conversational interactions. With Amazon Lex, the same deep learning technologies that power Amazon #Alexa are now available to any developer, enabling you to quickly and easily build #sophisticated, natural language, conversational bots (“chatbots”).
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#Artificial #Intelligence, or simply AI, is the term used to describe a machine’s ability to simulate human intelligence. Actions like #learning, logic, reasoning, perception, #creativity, that were once considered unique to #humans, is now being replicated by #technology and used in every #industry.
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With #itechnets, you #learn l how event-driven architectures improve application scalability and #reliability and why they are important in both #serverless and #traditional computing models. We cover the architectural patterns and best practices for successfully building event-driven systems in the context of real-world use cases, and we discuss the AWS services that support events, including #Amazon #CloudWatch Events, Amazon SQS, and Amazon SNS. Expect to leave with a deeper understanding of how to introduce and optimize an event-based architecture in your #application.
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There are many places to learn about these courses, the best place is learning from #itechnets online resources. Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) actually mean and how they're different DL is a subset of ML, and ML is a subset of AI. Usually, when a computer program designed by AI researchers actually succeeds at something. I can also suggest you the Best itechnets Online Courses.
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Machine learning is a subset of artificial intelligence, machine learning is the area of computational science that focuses on analyzing and interpreting patterns and structures in data to enable learning, reasoning, and decision making outside of human interaction.
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