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In this session we will explore how to deploy Azure Functions using Azure DevOps and docker in Azure Kubernetes cluster and and benefit from Kubernetes-native autoscale by using the Kubernetes Event Driven Architecture (KEDA)
This session will be about how to create a resource and deploy a model using Azure OpenAi. It will be a session where I will explain how to do everything step by step with examples so that people are aware of the latest trends in the market.
With the Data API builder, developers can easily create APIs for their Azure databases without having to write any custom code, making it easier to access and manipulate data from their applications.
In this presentation, you'll get a good understanding of how to get started with the Data API builder and how it can help you create powerful APIs for your Azure databases. Whether you're a developer looking to build modern, cloud-native applications or a data analyst looking to extract insights from your data, the Data API builder for Azure Databases can help you achieve your goals.
New megatrends like Cloud, ML/AI, Containers & Co. are undoubtedly becoming increasingly important. We also have many services that simplifies implementation of modern applications. But choosing the right architecture under hundreds of services is not an easy task.
In this session, we will demonstrate how to approach the right architecture on the example of an application that uses .NET, ML.NET, ASP.NET, Docker, ACI, ACR and Azure Batch Service. With a lot of demos, we will explain step by step how to build the right solution, and discuss the limitations of each used technology.
However, a real solution has numerous requirements that go beyond the scope of an experimental application. ML.NET is a viable approach that also has its limits.
You will learn how containers surprisingly behave under "heavy workloads" such as the ML training process. Such a real-life examples show that “lovely containers” have limits that you must overcome with another approach like Azure Batch Service or similar.
This is an advanced talk with lots of demos and insights into the world of Microsoft Azure Cloud Computing. Even if your focus is not necessarily ML or Azure Batch Service, this talk will teach you how to design and run scalable and elastic heavy-load solutions in Azure.
Machine learning as a service (MLaaS) is an umbrella definition of various cloud-based platforms that cover most infrastructure issues such as data pre-processing, model training, and model evaluation, with further prediction... In this session we will see how we can use Microsoft Azure to use Machine Learning algorithms as a Service in most optimal ways.
Everybody interested in combining IoT and Artificial Intelligence will benefit from this session.
Azure Percept is a new platform to create hardware accelerated Artificial Intelligence solutions that run on the edge. It is effectively an IoT device. Integration with cloud-based AI such as Azure Cognitive Services or Azure Machine Learning enables quick development and deployment of pre-built intelligence.
In this session, attendees will learn about the hardware Azure Percept and about the concept of the device ecosystem for sensors that integrate with Azure Percept.
The session also demonstrates the Azure based tools to administer systems that incorporate the device and understand the relationship with the Azure IoT offerings.
The presenter will share personal insights including experiences with typical challenges when working with this type of device.
Developers will see the developer experience to develop applications that leverage Azure Percept and receive information how to get started.
IT Pros will understand how Azure Percept relates to the Microsoft Azure IoT ecosystem.
Decision makers will hear about the value proposition of Azure Percept and why it could be relevant for their organizations.
Kick-off for Day 1 of Gimme Cloud Talks user group hosting of Global Azure 2023
These days more and more companies are using a hybrid cloud model. But still a lot of those companies struggle with how they can view, govern and secure all their hybrid resources in a seamless way.
Luckily these days those companies can overcome their cloud fears and pains and start using the full potential of their hybrid infrastructure, by combining the capabilities of Azure Arc and Windows Admin Center.
To guide you on your way, in this session, Micha and Wim will first look into Azure Arc-enabled servers.
Secondly they will also show you how you can use Windows Admin Center (WAC) to integrate and manage Azure Hybrid services, for example how you can manage Azure Stack HCI with WAC & Azure Arc.
So join them in this demo-packed session and learn all about how Azure Arc and Windows Admin Center can help you to manage your hybrid cloud. So let the battle begin ...
Securing the cloud resources of your environment is an error-prone and time-consuming task when performed manually. In fact, there are many examples of data breaches caused by misconfiguration of the cloud resources like S3 buckets or Cloud storage accounts.
But, there are better ways to automate this process with a couple of technical approaches that you can use to mitigate these risks including cloud resource hygiene with infrastructure-as-code (IaC).
In fact, by eliminating manual configuration and shifting to infrastructure-as-code (IaC) your organization can minimize this threat and improve the security posture of the workloads.
Join my session to learn how you could eliminate these risks by following DevSecOps principles. Learn how IaC could allow you to version control changes in the Azure cloud environments.
This workshop is a guided activity to learn, architect, and implement a real-world, serverless solution in the Microsoft Azure ecosystem.
The tools utilized will include Azure Functions, Cosmos DB, Event Grid, Logic Apps, Application Insights, and Azure storage.
After completing the workshop, attendees will be able to take the skills they've learned and apply them to solutions for both enterprise and personal projects.
The Attendees will need to be able to access an Azure Subscription and GitHub. This should be done on personal, non-work email accounts and non-work machines, unless the attendee is certain those accounts are in compliance with their company and also will not present access issues from a remote location at the conference.
An overview of the learning objectives for the Microsoft 365 and Azure Security certifications. This will include MS-500, AZ-500, and the new SC certifications. These paths provide security compliance and Identity knowledge and certifications for Microsoft technologies. Additionally, Dwayne will discuss other vendor independent certifications such as (ISC)2, CompTIA, and others that can assist on your cloud security journey. Including recommended paths and study guides.
Afternoon session
Day 2 of Global Azure 2023. Gimme Cloud Talks kick-off and introductions of live streams for the day.
Introducing the Defense in Depth strategy on protecting your environment.
In this session, Dwayne will provide guidance toward architecting a Zero Trust Framework within your Azure infrastructure. He will provide areas of focus for identity, networking, devices, applications, and data for a defense in depth security design. This article will close with a case study example of how to evaluate and consult for a Zero Trust Framework within your company or customer.
In this IoT Developer exam preparation session, you will learn about the latest updates on the exam. In addition, I will share my tips on how to focus on the AZ-220 D Microsoft Azure IoT Developer exam objectives and help you to get well-informed and prepared before your upcoming exam date.
At the end of the session, you will be knowledgeable about the official and community learning resources that will boost your knowledge, and help you get prepared for your exam date.
Have you heard about Chat GPT? Do you think Open AI could be the future of your company, or make your job way easier? In this session we will discuss how to get started with Open AI in Azure, the feature set today, incorporating it in our daily app development, and importing it to a simple .Net application!
In this lightning talk, I will share bits and tips on how to focus on the AZ-305 Designing Microsoft Azure Infrastructure Solutions exam objectives and help you to get informed and prepared before your upcoming exam date.
I will share official and community learning resources that will boost your knowledge, and help you get prepared for this important exam with more confidence.
The Azure Bicep language is a relatively new IaC language created to simplify the management of your Microsoft Azure infrastructure. It has huge improvements in usability and community support that aims to simplify infrastructure authoring and managing tasks for cloud engineers and systems administrators.
In this session, I will introduce the newest features and capabilities of Azure Bicep language. You will experience simple yet powerful demos on how you can leverage the tools and language features in your day-2-day cloud infrastructure management.