Azure Cloud Native Development on Microsoft Azure

Azure Cloud Native Development on Microsoft Azure is a game-changer for businesses looking to modernize their applications. With Azure, you can build, deploy, and manage applications in a cloud-agnostic way.

Azure supports a wide range of programming languages and frameworks, including .NET, Java, Python, and Node.js. This means you can use the tools and languages you're already familiar with to build cloud-native applications.

Cloud-native development on Azure allows you to take advantage of a fully managed platform that scales with your business needs. This means you can focus on writing code and delivering value to your customers, without worrying about the underlying infrastructure.

By leveraging Azure's cloud-native capabilities, you can reduce costs, improve scalability, and enhance security for your applications. This is especially important for businesses that need to quickly respond to changing market conditions.

Azure includes a range of built-in tools and services for cloud-native app development, making it a great choice for building scalable and secure applications.

Visual Studio (VS) is an Integrated Development Environment (IDE) that can be used for any platform or environment, and can directly integrate with Azure services to deploy directly to Azure.

You can download VS for free using the community edition, or choose from two paid options: professional and enterprise.

Azure App Service is a subscription-based Platform as a Service (PaaS) that enables you to build applications for web and mobile clients, and provides a fully managed cloud infrastructure.

App Service supports popular frameworks and languages, including .NET, Java, Python, PHP, Node.js, and Ruby.

Azure App Service includes pre-built apps that can be used as a base for app creation, making it easier to get started with cloud-native development.

Azure Cloud Services are designed to make life easier for developers.

Azure App Service makes building and managing web applications and APIs easy with a fully managed platform and features like autoscaling, deployment slots, and integrated web authentication.

With Azure Functions, event-driven programming is simple, thanks to state-of-the-art autoscaling and triggers and bindings to integrate with other Azure services.

Azure Logic Apps produces automated workflows for integrating apps, data, services, and backend systems with a library of more than 400 connectors.

You can simplify event-based applications with Azure Event Grid, which provides a single service for managing the routing of events from any source to any destination.

Here are some of the Azure Cloud Services at a glance:

Application Services allow you to run Azure PaaS services on-premises and at other cloud providers, making it easy to deploy and manage applications across different environments.

Azure App Service makes building and managing web applications and APIs easy with a fully managed platform and features like autoscaling, deployment slots, and integrated web authentication.

Azure Functions makes event-driven programming simple, with state-of-the-art autoscaling, and triggers and bindings to integrate with other Azure services.

Azure Logic Apps produces automated workflows for integrating apps, data, services, and backend systems with a library of more than 400 connectors.

Azure Event Grid simplifies event-based applications with a single service for managing the routing of events from any source to any destination.

Azure API Management provides a unified management experience and full observability across all internal and external APIs.

To run Azure Application Services anywhere, you'll need an Azure Arc enabled Kubernetes cluster, which works with any Cloud Native Computing Foundation (CNCF) certified Kubernetes clusters.

You can deploy Azure App Service extensions, including Azure Web Apps, Functions, and Logic Apps, to create a custom location in an Azure Arc enabled Kubernetes cluster.

To deploy an App Service extension, you'll need to click on Create to open the wizard, define the instance name, and select a custom location if you already have one.

You can then configure Monitoring and add Azure Tags, and the wizard will create a script that you can run using the Azure CLI locally or directly within Azure Cloud Shell.

Azure Arc enabled Data Services offer a flexible and scalable way to manage data. You can combine application services with Azure Arc enabled Data services.

Azure Arc enabled Azure SQL Managed Instance provides near 100% compatibility with the latest SQL Server database engine. This means you can lift and shift your applications to Azure Arc data services with minimal application and database changes.

Azure Arc enabled Azure SQL Managed Instance also includes built-in management capabilities that drastically reduce management overhead. This is a huge time-saver for IT teams.

Azure Arc enabled Azure PostgreSQL Hyperscale is another option available with Azure Arc enabled data services. It's powered by the Citus extension, which enables the hyperscale experience.

Here are the key benefits of Azure Arc enabled Data Services:

The Resource Center is a fantastic place to start when exploring Azure Cloud Services. It's a hub of valuable resources that can help you get up and running quickly.

One of the key resources you'll find in the Resource Center is the FortiGate Secure SD-WAN for Microsoft Azure Virtual WAN. This is a powerful tool that allows you to securely connect your on-premises network to Azure.

If you're concerned about security, you'll want to check out the information on the "BlueKeep" Vulnerability (CVE-2019-0708). This vulnerability can be a major issue if you're not prepared.

Here are some of the key resources you'll find in the Resource Center:

By taking advantage of these resources, you'll be well on your way to getting the most out of Azure Cloud Services.

ArcGIS on Azure is supported in government environments, which is a big plus for those who need to implement mapping and location analytics solutions in secure government settings.

The good news is that ArcGIS has been successfully implemented with Microsoft Azure, Azure Government, and Azure Government Secret, making it a viable option for individual customer needs.

This means you can rely on ArcGIS to provide robust mapping and location analytics capabilities in government environments, without worrying about compatibility or security issues.

ArcGIS has been successfully implemented with Microsoft Azure, Azure Government, and Azure Government Secret, so you can consider these options accordingly for your specific needs.

With ArcGIS on Azure, you can have confidence that your mapping and location analytics solutions will meet the stringent security requirements of government environments.

Esri and Microsoft technology considerations are vast, but some key areas to focus on include field operations, Internet of Things (IoT), digital twin, artificial intelligence (AI), machine learning, BI reporting and analysis, and real-time visualization and analytics.

Esri and Microsoft have strong integration support in these areas, making it an ideal combination for various use cases.

To ensure the security of your data, review the ArcGIS Trust Center, which details the security framework and capabilities of ArcGIS and its cloud infrastructure providers, including Azure.

ArcGIS has also earned security and privacy certifications such as FedRAMP and ISO27k.

AKS is a free, fully managed service used to deploy and manage containers with Kubernetes, which runs on Virtual Machines (VMs) that you're responsible for configuring and paying for.

Azure Kubernetes Service (AKS) includes an integrated Continuous Integration/Continuous Delivery (CI/CD) pipeline, making it easier to manage your applications.

You can also use Azure Container Instances (ACI) for hosting containers, which enables you to run containers without provisioning VMs or managing infrastructure, with costs based on usage.

ACI is often used to elastically manage traffic from AKS, running event-driven applications, or data processing jobs.

Deployment is a crucial step in getting your application up and running.

You can deploy cloud-native applications in Azure either in containers or serverless applications.

Containerized applications can be run and managed with Azure Kubernetes Service (AKS) or Azure Container Instances (ACI).

AKS is a free, fully managed service used to deploy and manage containers with Kubernetes.

Azure Functions allows you to write code snippets or entire applications and run them without dedicated instances or resources.

The cost for Azure Container Instances (ACI) is based on how long your containers run and what computing resources you use.

You can run containers without provisioning VMs or managing infrastructure with ACI.

AKS integrates with VS Code for easier development and deployment.

Your programs run based on triggers from HTTP requests, Azure service events, or a predefined schedule with Azure Functions.

You can write Functions in .NET, JavaScript, and Java.

Autoscaling can help minimize the cost of running your applications by using only the resources you need when you need them.

Autoscaling features enable dynamic resource allocation, allowing you to scale your resources up or down as needed. This can be especially helpful during periods of high traffic volume, when your application needs to handle more users.

Designing your applications to be horizontally scalable can give you the maximum performance and cost benefits. This means focusing on distributing workloads rather than using more powerful processors.

If you expect high traffic volume at specific times, you can create a scheduled autoscaling policy. This policy can start instances before your demand increases, ensuring your application is always available and responsive.

Tying your code to specific instances can limit availability and scalability. Try to develop your application in a way that allows it to scale without being tied to specific instances.