Pivotal Cloud Foundry view
TheBMC Helix Continuous Optimization - Pivotal Cloud Foundry view enables you to manage the capacity and efficiency of containerized environment and applications
You can use the Pivotal Cloud Foundry view to complete tasks such as:
- Understand resource bottlenecks and aggregate residual capacity of Pivotal Cloud foundry Diego cells and other virtual machines
- Detect current or imminent resource saturation conditions and days before the resource is saturated for every major Pivotal Cloud Foundry resource
- Assess the level of infrastructure efficiency, by comparing allocated vs actually resources, and identify most wasteful virtual machine or applications
- Identify application in resource usage patterns and detect resource shortage conditions
Thresholds, Status & Bottleneck
There are the Page Overviews:
Requirements
Certified data sources
The certified data sources for the views are the following:
- Pivotal CF Connector
You must configure and run one of these ETL modules to have data visible in the view
Data Visibility
Conventions
The Pivotal Cloud Foundry view provides summarized, high-level capacity KPIs designed for capacity management.The following common conventions around naming and metrics aggregation are valid for all data presented in the view:
- Standard table column names: Metric name [unit of measurement] (ex. "Memory [GB]")
- Unit of measurement is omitted when implicitly evident
- The metric value is the aggregation of the last 1, 7, and 30 days
- The metric value is computed as follows: for each day, the daily peak is considered (at daily resolution). Then, the mean value of the daily peak over the last 30 days is shown.
- For "days to saturation", if the value is greater than 90 days, the view will show "No Saturation"
This is only valid for summary metrics presented in tables and overall page. The charts presented in the details pages follow regular over time metrics semantics, whose time frame and time resolution available as filters in the top of the page.
View Structure
The Pivotal Cloud Foundry view is composed of the following first-level pages:
- Overview: it presents a summary of Pivotal Cloud Foundry's Applications and Foundation (Deployment) information, including risk score, efficiency score and usage score
- PCF Domain: it shows capacity metrics for Pivotal Cloud Foundry Domains, which are configured when setup Pivotal CF service ETL, aggregated from diego_cells
- PCF Foundation: it shows capacity metrics for Pivotal Cloud Foundry Foundations (deployments), aggregated from diego_cells
- Diego Nodes: it shows capacity metrics for Pivotal Cloud Foundry Diego Nodes (diego_cell, diego_database, diego_brain, tcp_router and router)
- PCF Services: it shows capacity metrics for Pivotal Cloud Foundry Services (Other component VMs except Diego Nodes)
- PCF Applications: it shows capacity metrics for Pivotal Cloud Foundry applications (both system default applications and user created)
From all the overview page, you can drill-down to an entity detail page, which presents the most relevant performance metrics as time charts and tables for the most important configuration properties.
Thresholds, Staus and Bottleneck
The table below reports the thresholds used in the view
Entities | Resources | Good Thresholds | Warn Thresholds |
|---|---|---|---|
PCF Domains | Usage Score | 70% | 90% |
Efficiency Score | |||
Risk Score | 70% | 90% | |
Days to Saturation | > 30 days | < 30 days | |
PCF Foundations | Usage Score | 70% | 90% |
Efficiency Score | |||
Risk Score | 70% | 90% | |
Days to Saturation | > 30 days | < 30 days | |
PCF Services | Usage Score | 70% | 90% |
Efficiency Score | |||
Risk Score | 70% | 90% | |
Days to Saturation | > 30 days | < 30 days | |
Diego Nodes | Usage Score | 70% | 90% |
Efficiency Score | |||
Risk Score | 70% | 90% | |
Days to Saturation | > 30 days | < 30 days | |
PCF Applications | Usage Score | 70% | 90% |
Efficiency Score | |||
Risk Score | 70% | 90% | |
Days to Saturation | > 30 days | < 30 days |
The following shows how resources are considered for days to Saturation for each entities:
Bottleneck is also determined by identify which is the least days to saturation for each entities:
Entity | Resources entities | Days to Saturation Mark | Efficiency Mark |
|---|---|---|---|
PCF Domain | CPU_UTIL | 95% | 75% |
MEM_UTIL | 95% | 75% | |
DISK_USED_SPACE_PCT | 95% | 75% | |
Container Number | 95% | 75% | |
PCF Foundation | CPU_UTIL | 95% | 75% |
MEM_UTIL | 95% | 75% | |
DISK_USED_SPACE_PCT | 95% | 75% | |
DISK_EPHEMERAL_USED_PCT | 95% | 75% | |
PCF Services | CPU_UTIL | 95% | 75% |
MEM_UTIL | 95% | 75% | |
DISK_USED_SPACE_PCT | 95% | 75% | |
DISK_EPHEMERAL_USED_PCT | 95% | 75% | |
Diego Nodes | CPU_UTIL | 95% | 75% |
MEM_UTIL | 95% | 75% | |
DISK_USED_SPACE_PCT | 95% | 75% | |
DISK_EPHEMERAL_USED_PCT | 95% | 75% | |
PCF Applications | CPU_UTIL | 95% | 75% |
MEM_UTIL | 95% | 75% | |
Disk_Used_Space_Pct | 95% | 75% |
The following shows how each entities' Efficiency score, Usage score and Risk score is calculated:
Entity | Usage Score | Efficiency Score | Risk Score |
|---|---|---|---|
PCF Domain | cpu_util*0.4 +mem_util*0.4+disk_used_space_pct*0.2 | cpu_util_efficiency*0.3 +mem_util_efficiency*0.3+disk_used_space_pct_efficiency*0.4 | Days to saturation for each entities compare to 30 days |
PCF Foundation | cpu_util*0.4 +mem_util*0.4+biggest(disk_used_space_pct, disk_ephemeral_used_pct)*0.2 | cpu_util_efficiency*0.3 +mem_util_efficiency*0.3+biggest(disk_used_space_pct_efficiency, disk_ephemeral_used_pct_efficiency)*0.4 | Days to saturation for each entities compare to 30 days |
PCF Services | cpu_util*0.4 +mem_util*0.4+biggest(disk_used_space_pct, disk_ephemeral_used_pct)*0.2 | cpu_util_efficiency*0.3 +mem_util_efficiency*0.3+biggest(disk_used_space_pct_efficiency, disk_ephemeral_used_pct_efficiency)*0.4 | Days to saturation for each entities compare to 30 days |
Diego Nodes | cpu_util*0.4 +mem_util*0.4+biggest(disk_used_space_pct, disk_ephemeral_used_pct)*0.2 | cpu_util_efficiency*0.3 +mem_util_efficiency*0.3+biggest(disk_used_space_pct_efficiency, disk_ephemeral_used_pct_efficiency)*0.4 | Days to saturation for each entities compare to 30 days |
PCF Application | cpu_util*0.4 +mem_util*0.4+disk_used_space_pct*0.2 | cpu_util_efficiency*0.3 +mem_util_efficiency*0.3+disk_used_space_pct_efficiency*0.4 | Days to saturation for each entities compare to 30 days |