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Deploying Containers with ACI

1. Deploying Containers with ACI

In this video, we'll see how Azure Container Instances let you run containers quickly without managing servers or clusters.

2. Azure Container Instances (ACI)

Azure Container Instances, or ACI, provide a way to run containers directly in the cloud without worrying about infrastructure.

3. Azure Container Instances (ACI)

It's a serverless model: you focus on the container image, and Azure takes care of provisioning the compute resources. This makes Azure Container Instances ideal for scenarios where you need speed and simplicity rather than full orchestration. Developers can launch workloads in seconds, making Azure Container Instances one of the fastest ways to test and deliver containerized applications.

4. Benefits of ACI

Azure Container Instances is fast, cost-efficient, and billed per second. You only pay for the resources while your container is running, which makes it perfect for short-lived tasks, proof-of-concepts, or applications that don't require complex orchestration.

5. Benefits of ACI

Developers can test new builds quickly without waiting for cluster setup, and they can experiment with ideas before committing to Kubernetes. For organizations, this means reduced overhead and faster innovation cycles.

6. Benefits of ACI

It also supports Linux and Windows containers, giving flexibility across environments.

7. Benefits of ACI

Azure Container Instances also supports mounting Azure file shares, enabling persistent storage for applications that need to retain data.

8. Deploying a Container

Deployment can be done through the Azure Portal, the CLI, or ARM templates.

9. Deploying a Container

You specify the image (from Azure Container Registry or Docker Hub), CPU and memory limits, and networking options.

10. Deploying a Container

Within seconds, the container is live and accessible. This simplicity makes Azure Container Instances a great entry point for developers who want to see their applications running in the cloud with minimal effort.

11. Monitoring running Containers

Azure Container Instances integrates with Azure Monitor and Log Analytics.

12. Monitoring running Containers

You can track CPU, memory, and network usage, set alerts, and visualize performance trends.

13. Monitoring running Containers

Monitoring ensures that containers run smoothly and resources aren't wasted. For workloads that need predictable performance, these insights help you adjust resource allocations. Combined with metrics dashboards, teams can quickly identify bottlenecks and optimize container behavior.

14. Viewing logs

Logs provide visibility into container behavior. By streaming logs directly from Azure Container Instances, developers can debug issues, confirm successful execution, and trace application output. This is especially useful for troubleshooting batch jobs or APIs, where quick feedback is essential. Logs also help validate that containers are behaving as expected in production, and they can be exported to centralized monitoring solutions for long-term analysis.

15. Recap

Azure Container Instances is the simplest way to run containers in Azure. It's flexible, secure, and a great stepping stone before moving to Kubernetes for more complex workloads. By mastering Azure Container Instances, you gain confidence in deploying containers and prepare for the orchestration capabilities of Azure Kubernetes Service.

16. Let's practice!

Time to check your knowledge, work through these questions to reinforce what you've learned.

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