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Zorluk: ZorContainer-Based Workloads

An enterprise is designing a compute and logging architecture for a containerized order-processing application. The design must satisfy the following requirements:
- Host multiple microservices that scale dynamically based on the queue depth of an Azure Service Bus queue using Kubernetes Event-driven Autoscaling (KEDA).
- Minimize the administrative and operational overhead associated with managing cluster infrastructure and virtual machines.
- Separate log data into different geographical regions to comply with strict regional data residency regulations.

Which compute and monitoring configuration should you recommend?

  1. A
    Azure Kubernetes Service (AKS) with KEDA configured, routing logs to regional Log Analytics workspaces
  2. B
    Azure Container Apps with regional environments, routing all logs to a single centralized Log Analytics workspace
  3. Azure Container Apps with regional environments, routing logs to regional Log Analytics workspacesCevap
  4. D
    Azure Functions on a Consumption plan hosting the containerized microservices, routing logs to regional Log Analytics workspaces

Cevap

Azure Container Apps with regional environments, routing logs to regional Log Analytics workspaces
The correct option is the one proposing Azure Container Apps with regional environments and regional Log Analytics workspaces. Azure Container Apps is a serverless platform that supports KEDA-based event-driven scaling out of the box, fulfilling the scaling needs while minimizing cluster management overhead. Deploying regional environments and routing their logs to regional Log Analytics workspaces ensures compliance with data residency regulations by keeping logs within their respective geographic regions.

Adım Adım Çözüm

1
Evaluate the compute options against the operational overhead and KEDA scaling requirements.
Azure Container Apps (ACA) and Azure Kubernetes Service (AKS) both support KEDA scaling natively. However, ACA is serverless and eliminates cluster management overhead, making it the preferred choice over AKS to minimize administrative effort.
The scenario requires minimizing administrative and operational overhead while scaling containers with KEDA.
2
Evaluate the compliance and logging architecture against data residency requirements.
Routing logs from regional environments to regional Log Analytics workspaces ensures that log data is kept within its respective geographical boundaries, meeting data residency compliance.
The scenario requires separating log data into different geographical regions.
3
Select the option that satisfies all criteria.
Azure Container Apps with regional environments combined with regional Log Analytics workspaces satisfies the KEDA, operational overhead, and regional compliance requirements.
This configuration balances serverless container hosting with compliant regional monitoring.

Anahtar Kavram

Selecting the appropriate container hosting platform in Azure based on management overhead, KEDA support, and designing compliant regional monitoring architectures.
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Container-Based Workloads

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