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Serverless Computing in Azure
Kubernetes Service mit KEDA
Thorsten Hans
@ThorstenHans
Consultant
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Focus: Cloud Native & Infrastructure as Code
Consultant @ Thinktecture AG
[email protected] [email protected]
thinktecture.com thorsten-hans.com
@ThorstenHans
Thorsten Hans
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Talking Points
Scaling in Kubernetes Scaling with KEDA Hands-On
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Kubernetes scaling capabilities
§ Manual scaling
§ Load based scaling
§ Horizontal Pod Autoscaler
§ AKS Cluster Autoscaling
Scaling in Kubernetes
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Manual scaling
Scaling in Kubernetes
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Horizontal Pod Autoscaler (HPA)
Scaling in Kubernetes
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Cluster Autoscaling in AKS
Scaling in Kubernetes
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Talking Points
Scaling in Kubernetes Scaling with KEDA Hands-On
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Kubernetes Event-driven Autoscaling
§ https://keda.sh
§ Cloud Native Computing Foundation sandbox project
§ Vendor Agnostic
§ Contextual Autoscaling
§ Ships with 25 built-in scalers
§ Built-in Azure Functions Support
What is KEDA
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Architecture
KEDA
https://keda.sh/docs/2.0/concepts/
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Architecture
KEDA
Application Container
KEDA Operator
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Flixbile scaling
§ Scale based on actual load
§ Built-in scalers for
§ Databases
§ Messaging engines
§ Telemetry systems
§ Cache engines
§ Unified configuration approach
§ ScaledObject specification
KEDA Scalers
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Talking Points
Scaling in Kubernetes Scaling with KEDA Hands-On
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Azure Storage Queue Azure Storage Blob
Async Processing with Azure Functions and KEDA
Demo Architecture
Azure Storage Queue
Azure Functions
Azure Functions
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Kubernetes Event-driven Autoscaling
- Install KEDA
- Deploy Azure Functions
- Configure Connections to Azure Storage
- Deploy ScaledObjects
- Produce Load to verify scaling
Demo