Compute and Serverless Resource Orchestration in Azure

Organizations face the critical challenge of maintaining optimal application performance while controlling costs. Azure's compute and serverless resource scaling orchestration provides a sophisticated solution that automatically adjusts capacity based on real-time demand, eliminating the complexity of manual infrastructure management.

Modern businesses operate in environments where workload patterns can change rapidly - from sudden traffic spikes during product launches to predictable daily usage patterns. Traditional manual scaling approaches often result in over-provisioning resources as a safety measure, leading to significant waste and operational inefficiency.

Azure's scaling orchestration transforms this by providing:

• Instant responsiveness - Applications scale from zero to handle sudden traffic spikes within seconds, ensuring consistent user experience
• Granular cost control - Organizations pay only for actual resource consumption, not idle capacity, optimizing operational expenses
• Reduced operational overhead - Teams focus on application logic and business value rather than infrastructure scaling decisions
• Enhanced reliability - Built-in redundancy and automatic failover capabilities improve service availability and system resilience

The orchestration spans multiple service tiers: Virtual Machine Scale Sets enable seamless scaling of traditional compute workloads with intelligent metrics-based rules, while Container Apps provide event-driven scaling that responds to HTTP requests, queue messages, or custom metrics. This multi-layered approach allows organizations to maintain consistent performance standards while optimizing resource utilization across their entire application portfolio.

In this lab, you will gain hands-on experience in configuring scaling rules and multi-revision deployments for both compute resources and serverless resources.

Learning objectives

Upon completion of this advanced-level lab, you will be able to:

• Configure a scaling rule for a virtual machine scale set compute resources
• Configure a scaling rule for a container app serverless resource
• Switch the container app to multi-revision mode to allow for more efficient scaling.

Intended audience

• Cloud Engineers
• Cloud Architects
• DevOps Engineers
• Software Engineers

Prerequisites

Familiarity with the following will be beneficial but is not required:

• Azure Virtual Machine Scale Sets
• Azure Container Apps

The following content can be used to fulfill the prerequisites:

• Azure Virtual Machine Scale Sets
• Azure Container Apps