A digital media company is designing the Azure compute infrastructure for a new video rendering and encoding platform. The platform consists of two main components:
1. An orchestration portal that manages rendering jobs, user profiles, and subscription details. This portal represents a steady-state production workload and requires a availability SLA.
2. A batch processing layer containing multiple worker instances that execute the CPU-intensive rendering tasks. These tasks write progress checkpoints to Azure Blob Storage, allowing interrupted jobs to resume from the last checkpoint.
You need to minimize compute costs for both layers while meeting the availability requirements.
Which two Azure compute configurations should you recommend?
- Azure Spot Virtual Machines to host the batch processing worker instancesCevap
- Standard Azure Virtual Machines combined with Azure Reserved Virtual Machine Instances to host the orchestration portalCevap
- CAzure Spot Virtual Machines to host the orchestration portal to minimize steady-state compute costs
- DMultiple standard Azure Virtual Machines deployed within a single Availability Zone to host the orchestration portal
Cevap
Azure Spot Virtual Machines to host the batch processing worker instances, and Standard Azure Virtual Machines combined with Azure Reserved Virtual Machine Instances to host the orchestration portal.
The correct configurations align the workload requirements with the appropriate Azure compute features. The rendering workers write progress checkpoints and can tolerate interruption, making them ideal candidates for the cost-effective Azure Spot VMs. Conversely, the orchestration portal represents a steady-state production workload with a SLA constraint, requiring standard VM instances. Applying Azure Reserved Instances to these standard VMs is the correct way to reduce costs without risking eviction.
Adım Adım Çözüm
Anahtar Kavram
Selecting cost-effective and resilient Azure compute solutions based on workload characteristics, SLA requirements, and fault tolerance.