Sentinel (GermainUX’s Self-Monitoring System)
Sentinel is a monitoring system, spun off from GermainUX, designed to help ensure the availability, stability, and performance of GermainUX environments.
The Sentinel script continuously monitors critical infrastructure, services, logs, and application endpoints, then summarizes all findings into a centralized health report.
Monitoring Capabilities
Sentinel supports monitoring of the following components and behaviors:
Connects to GermainUX infrastructure services (such as Zookeeper and ActiveMQ) and records:
Availability and outages
Queue usage and related metrics
Monitors a configurable list of operating system services and reports:
Availability status
CPU utilization
Memory usage
Monitors configurable log files and checks:
Last write/update time
Errors or warning thresholds
Stale or inactive logs
Monitors configurable HTTP endpoints and reports:
Availability status
HTTP response validation
Response performance
Generates and sends consolidated health reports via email, with configurable conditions controlling when reports should be sent
Health Status Classification
Sentinel categorizes monitored software features using the following status levels:
RED — Indicates a software feature that is failing, unavailable, or critically impacted
ORANGE — Indicates a software feature experiencing degraded performance, slowness, warnings, or intermittent errors
GREEN — Indicates a software feature that is healthy, available, and performing normally
Reporting
Sentinel summarizes all monitoring findings into a single consolidated report to simplify operational visibility and accelerate issue detection.
The attached example provides a sample report generated by the Sentinel system.
Please note that the exact content, thresholds, formatting, and delivery behavior of Sentinel reports may vary depending on the specific implementation and configuration of the environment.
Example of a Report sent by Sentinel script:
Status | Germain Service | Check | Info |
GermainEngineManager-apsep03050 | LogActivity |
CODE
| |
ActiveMQ | AvailabilityCheck | Status: Running, PID(1296 9708) | |
ActiveMQ | BrokerStats | localhost | Temp Percent: 0 | MemoryPercent: 0 | StorePercent: 0 | |
ActiveMQ | QueueStats | apm.action | QueueSize: 0 | ConsumerCount: 1 | EnqueueCount: 28656 | DequeueCount: 28656 | |
ActiveMQ | QueueStats | apm.analytics | QueueSize: 0 | ConsumerCount: 1 | EnqueueCount: 15729162 | DequeueCount: 15729162 | |
ActiveMQ | QueueStats | apm.session | QueueSize: 0 | ConsumerCount: 1 | EnqueueCount: 0 | DequeueCount: 0 | |
ActiveMQ | QueueStats | apm.storage | QueueSize: 0 | ConsumerCount: 2 | EnqueueCount: 7480961 | DequeueCount: 7480961 | |
ActiveMQ | QueueStats | apm.storage.analytics | QueueSize: 0 | ConsumerCount: 2 | EnqueueCount: 189809 | DequeueCount: 189809 | |
GermainActionServices | AvailabilityCheck | Status: Running, PID(1636) | |
GermainActionServices | LogActivity |
CODE
| |
GermainAggregatorServices | AvailabilityCheck | Status: Running, PID(6720) | |
GermainAggregatorServices | LogActivity |
CODE
| |
GermainAnalyticsServices | AvailabilityCheck | Status: Running, PID(1624) | |
GermainAnalyticsServices | LogActivity |
CODE
| |
GermainAPMConfigServices | EndpointAvailability | Rest Endpoint Response Code: 200 | |
GermainAPMConfigServices | EndpointAvailability | Rest Endpoint Response Code: 200 | |
GermainAPMConfigServices-apsep02522 | LogActivity |
CODE
| |
GermainAPMConfigServices-apsep02523 | LogActivity |
CODE
| |
GermainAPMEnginesProd | AvailabilityCheck | Status: Running, PID(16580 4704) | |
GermainAPMIngestionServices-apsep02522 | LogActivity |
CODE
| |
GermainAPMIngestionServices-apsep02523 | LogActivity |
CODE
| |
GermainAPMQueryServices | EndpointAvailability | Rest Endpoint Response Code: 200 | |
GermainAPMQueryServices | EndpointAvailability | Rest Endpoint Response Code: 200 | |
GermainAPMQueryServices-apsep02522 | LogActivity |
CODE
| |
GermainAPMQueryServices-apsep02523 | LogActivity |
CODE
| |
GermainEngineManager-apsep03069 | LogActivity |
CODE
| |
GermainEngineManagerProd | AvailabilityCheck | Status: Running, PID(121228) | |
GermainSessionTrackingServices | AvailabilityCheck | Status: Running, PID(1060) | |
GermainSessionTrackingServices | LogActivity |
CODE
| |
GermainStorageServices | AvailabilityCheck | Status: Running, PID(1648) | |
GermainStorageServices | LogActivity |
CODE
|
Sentinel in Kubernetes Environments
Potential Issue with kubectl exec and Unresponsive Pods
When running Sentinel monitoring jobs through a scheduled cron task that relies on kubectl exec, it is important to understand the behavior of Kubernetes when the target pod becomes hung or unresponsive.
kubectl exec is a synchronous operation that depends entirely on:
Pod responsiveness
Kubernetes API availability
Network connectivity between the control plane and the pod
If the target pod enters a hung or unhealthy state, the kubectl exec command may block indefinitely (or until the Kubernetes API timeout is reached).
Because Sentinel is commonly triggered using a cron scheduler, each scheduled execution starts a new kubectl exec process. If a previous execution remains blocked, subsequent executions may overlap or appear to “queue up.” Once the pod becomes responsive again, multiple delayed executions may run nearly simultaneously.
This behavior is expected and is a limitation of using kubectl exec for scheduled remote execution. kubectl exec is not queue-based or asynchronous.
Recommended Solutions
Recommended Approach (Preferred)
Run Sentinel directly as a cron job inside the target pod.
This avoids dependency on external kubectl exec calls and eliminates blocking behavior caused by pod responsiveness issues.
Please coordinate with your Kubernetes cluster administrators to configure an internal cron scheduler within the pod or container environment.
Alternative Approach
If Sentinel must be executed externally using kubectl exec, implement both:
A timeout mechanism
A lock mechanism to prevent overlapping executions
Additional recommendations:
Remove the
-itflags fromkubectl execUse
timeoutto terminate stuck executionsUse
flockto ensure only one Sentinel execution runs at a time
Example Cron Wrapper Script
#!/bin/bash
(
flock -n 9 || { echo "Previous run still active, skipping."; exit 1; }
timeout 120 kubectl exec stage-cgw-0 -- bash -c "cd /persistent/germain/sentinel; ./sentinel.sh"
timeout 120 kubectl exec stage-sai-0 -- bash -c "cd /persistent/germain/sentinel; ./sentinel.sh"
timeout 120 kubectl exec stage-ses-0 -- bash -c "cd /persistent/germain/sentinel; ./sentinel.sh"
) 9>/var/lock/sentinel-cron.lock
Additional Recommendations
Monitor pod health proactively to reduce hung-state occurrences
Configure Kubernetes liveness/readiness probes appropriately
Review Kubernetes API timeout settings if long-running executions are expected
Consider moving Sentinel execution to Kubernetes-native
CronJobresources when possible
Service: Enterprise
Feature Availability: 2023.1