Once the load on our system has increased we need to consider scaling options; this includes scaling using the Azure portal, manually scaling your Kubernetes cluster, or using the autoscaler.
- [Instructor] We have several options … when we want to scale our resources in the cloud. … However, this isn't your typical scaling operation. … With containers we have multiple layers … and each with its own options. … Now when we're looking to scale, … we have the option of scaling resources … vertically or horizontally. … Vertically means, we can increase the amount of power … for that resource. … So, for a VM we would increase the VM size, … which would give us more RAM and CPU. … If we wanted to scale horizontally, … we can create another instance … and distribute the workload between them. … With Kubernetes and containerization, … we have multiple layers at which we can scale. … For instance, we can scale the number of pods … to meet demand. … We can even automate it based on resource utilization. … This could mean if our pods for the frontend … are running at 50% usage, we add another pod. … Similarly, we can scale the number of nodes. … We simply add more nodes … and Kubernetes will handle resource allocation …
AuthorGurinder Singh Mann
- Developing an infrastructure strategy
- Managing technical debt
- Managing Amazon Kubernetes Service (AKS)
- Deploying applications on AKS
- Scaling your Kubernetes clusters
- Implementing infrastructure as code
- Deploying Azure resources via Terraform
- Implementing security and compliance
Skill Level Intermediate
Azure for DevOps: Dependency Managementwith Gurinder Singh Mann47m 5s Intermediate
Who is this course for?1m 4s
1. Infrastructure and Configuration Management
2. Manage Kubernetes Service
3. Implementing Infrastructure as Code
4. Implement Security and Compliance
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