Title: Define CPU and Memory Requirements for Kuberise Tools
Description:
To optimize the deployment of Kuberise in a Kubernetes cluster, it is essential to understand the resource requirements of each tool included in Kuberise. This will help in accurate resource allocation and ensure smooth functioning without over- or under-provisioning the cluster.
Task:
Create a detailed table listing each tool in Kuberise along with their CPU and memory requirements.
Steps to Complete:
Identify Tools: List all tools and components that are part of the Kuberise platform.
Resource Measurement:
Deploy each tool individually in a controlled environment.
Measure the CPU and memory usage under typical load conditions.
Record the peak and average usage.
Document Findings: Create a table documenting the resource requirements for each tool.
Table Structure:
Tool Name
CPU (Average)
CPU (Peak)
Memory (Average)
Memory (Peak)
Tool 1
X millicores
Y millicores
A MiB
B MiB
Tool 2
...
...
...
...
...
...
...
...
...
Additional Information:
Ensure the measurements are consistent and taken under similar conditions for all tools.
Consider including a buffer in the resource recommendations to account for variability in workloads.
Document any assumptions made during the measurement process.
Acceptance Criteria:
A comprehensive table is created listing each tool in Kuberise with its CPU and memory requirements.
Documentation of the methodology used to measure the resource usage.
Recommendations for resource allocation based on the findings.
Title: Define CPU and Memory Requirements for Kuberise Tools
Description:
To optimize the deployment of Kuberise in a Kubernetes cluster, it is essential to understand the resource requirements of each tool included in Kuberise. This will help in accurate resource allocation and ensure smooth functioning without over- or under-provisioning the cluster.
Task:
Create a detailed table listing each tool in Kuberise along with their CPU and memory requirements.
Steps to Complete:
Table Structure:
Additional Information:
Acceptance Criteria: