Once the instances have been launched, there will just be the initial node that was defined in the deployment request. This may not be appropriate and this video will show how to define a simple policy to adjust the scale to better match the number of nodes needed to run the system. The Cluster Autoscaler provides this service on AKS.
- [Instructor] So first we're going to do … a listing of our chapters directory, … so we do an LS, we see we have an autoscale document, … and we have an updated host name manifest. … We're going to look at the autoscale document … by doing more, autoscale, tab, and we see … we have a bunch of different approaches … to how we can autoscale things. … First off, we can just manually scale … the number of pods that are running. … Now we do have some limits, right, … we had set 20 to the limit to the number … of pods that we're going to run, but just turning up … the number of replicas will increase … the number of pods running, and the scale … and capacity of our resources. … So we can do that fairly easily. … We can also make sure that the system … tries to automatically scale the number … of pods based on resources consumed. … Our initial hostname.yml document … did not include any specific resources, … but we've updated this one, we'll have a look real quick, … to include resources to define the CPU requirements …
- Deployment models
- Scaling AKS workers
- Setting up nodes
- Using labels to select pools
- Creating storage classes
- Networking options and capabilities
- Load balancing and ingress
- Managing AKS deployments
Skill Level Advanced
Kubernetes: Cloud Native Ecosystemwith Karthik Gaekwad27m 42s Intermediate
Learning Azure DevOpswith Jose Miguel Rady Allende1h 29m Beginner
Continuous Delivery with Azure DevOpswith Paul Hacker2h 7m Intermediate
What you should know2m 54s
1. Kubernetes on Azure
2. Scaling AKS Workers
3. AKS Storage and Networks
4. Managing AKS Deployments
Next steps1m 14s
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