Auto-scaling on Oracle Cloud Infrastructure (OCI) allows you to automatically adjust the number of compute instances in an instance pool based on demand. This helps ensure that your application has the necessary resources to handle varying workloads efficiently. Here's a step-by-step guide on how to set up auto-scaling for compute resources on OCI:
Step 1: Create an Instance Configuration
Access OCI Console:
Log in to the OCI Console.
Navigate to Compute Instances:
Go to "Compute" and select "Instances".
Create an Instance Configuration:
Click on "Instance Configurations" under "Compute".
Click on "Create Instance Configuration".
Provide the necessary details:
Name: Enter a name for the configuration.
Instance Details: Choose the compartment, image, shape, and other instance details.
Add Block Volumes (Optional): Attach block volumes if needed.
Networking: Configure the virtual cloud network (VCN) and subnet.
Click "Create Instance Configuration".
Step 2: Create an Instance Pool
Navigate to Instance Pools:
In the "Compute" section, click on "Instance Pools".
Create an Instance Pool:
Click on "Create Instance Pool".
Provide the necessary details:
Name: Enter a name for the instance pool.
Instance Configuration: Select the instance configuration you created.
Placement: Choose the availability domain and fault domain.
Size: Specify the initial size of the instance pool (number of instances).
Click "Create Instance Pool".
Step 3: Configure Auto-Scaling
Access the Instance Pool:
Click on the instance pool you created.
Set Up Auto-Scaling:
In the instance pool details page, find the "Auto-Scaling" section.
Click "Create Auto-Scaling Configuration".
Define Auto-Scaling Rules:
Name: Enter a name for the auto-scaling configuration.
Metric and Thresholds: Choose the metric that will trigger scaling (e.g., CPU utilization).
Scaling Policy:
Threshold: Set the threshold value for the metric.
Cooldown Period: Define the cooldown period to wait before another scaling action is taken.
Scaling Action:
Scale Out: Define the number of instances to add when scaling out.
Scale In: Define the number of instances to remove when scaling in.
Click "Create Auto-Scaling Configuration".
Step 4: Monitor and Manage Auto-Scaling
Monitor Auto-Scaling Activity:
In the instance pool details page, review the "Scaling Activity" section to see when instances are added or removed.
Adjust Auto-Scaling Policies:
If needed, update the auto-scaling configuration to better align with your application's workload patterns.
Step 5: Check Billing Impact
Navigate to Billing and Cost Management:
In the OCI Console, go to the menu and select "Billing & Cost Management".
View Cost Analysis:
Click on "Cost Analysis".
Use filters to view costs by service (e.g., Compute) and time period.
Monitor Auto-Scaling Costs:
Analyze the cost impact of auto-scaling by reviewing the usage patterns.
Use the "Service" filter to isolate costs associated with the compute instances that were scaled.
Set Budgets and Alerts:
In the "Budgets" section, click "Create Budget".
Define the budget amount and the services it applies to.
Set up alerts to notify you when spending approaches or exceeds the budget.
Example: Setting Up Auto-Scaling with OCI CLI
You can also set up auto-scaling using the OCI CLI:
Install OCI CLI:
Follow the installation instructions to set up OCI CLI.
Create an Auto-Scaling Configuration: oci autoscaling configuration create --compartment-id <compartment_ocid> --resource <instance_pool_ocid> --display-name <autoscaling_name> --is-enabled true --policy '{"capacity": {"initial": 1, "max": 5, "min": 1}, "rules": [{"action": {"type": "CHANGE_COUNT_BY", "value": 1}, "metric": {"metricType": "CPU_UTILIZATION", "threshold": {"operator": "GREATER_THAN", "value": 80}}, "type": "threshold"}]}'
Update Auto-Scaling Policy: oci autoscaling policy update --auto-scaling-configuration-id <autoscaling_ocid> --auto-scaling-policy-id <policy_ocid> --capacity '{"max": 10, "min": 1}'
By following these steps, you can effectively configure and manage auto-scaling for compute resources on OCI, ensuring your application can handle varying workloads efficiently and cost-effectively.
Opmerkingen