Use when working with Aws Fargate — aWS Fargate task and service analysis covering ECS cluster inventory, Fargate task status, CPU and memory utilization, task definition review, networking configuration, service auto-scaling policies, and container health checks. Use for Fargate-specific workload optimization.
Scanned 9/8/2026
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---
name: managing-aws-fargate
description: |
Use when working with Aws Fargate — aWS Fargate task and service analysis
covering ECS cluster inventory, Fargate task status, CPU and memory
utilization, task definition review, networking configuration, service
auto-scaling policies, and container health checks. Use for Fargate-specific
workload optimization.
connection_type: aws
preload: false
---
# AWS Fargate Management
Analyze AWS Fargate tasks, services, and resource utilization across ECS clusters.
## Phase 1: Discovery
```bash
#!/bin/bash
export AWS_PAGER=""
echo "=== ECS Clusters ==="
aws ecs list-clusters --output text --query 'clusterArns[]' \
| tr '\t' '\n' | while read ARN; do
aws ecs describe-clusters --clusters "$ARN" \
--query 'clusters[].[clusterName,status,registeredContainerInstancesCount,runningTasksCount,pendingTasksCount]' \
--output text
done | column -t
echo ""
echo "=== Fargate Services ==="
for CLUSTER in $(aws ecs list-clusters --output text --query 'clusterArns[]' | tr '\t' '\n'); do
CLUSTER_NAME=$(echo "$CLUSTER" | rev | cut -d'/' -f1 | rev)
aws ecs list-services --cluster "$CLUSTER" --launch-type FARGATE --output text --query 'serviceArns[]' \
| tr '\t' '\n' | while read SVC; do
aws ecs describe-services --cluster "$CLUSTER" --services "$SVC" \
--query "services[].[serviceName,status,desiredCount,runningCount,launchType,platformVersion]" \
--output text
done
done | column -t | head -20
echo ""
echo "=== Running Fargate Tasks ==="
for CLUSTER in $(aws ecs list-clusters --output text --query 'clusterArns[]' | tr '\t' '\n'); do
CLUSTER_NAME=$(echo "$CLUSTER" | rev | cut -d'/' -f1 | rev)
for TASK in $(aws ecs list-tasks --cluster "$CLUSTER" --launch-type FARGATE --output text --query 'taskArns[]' | tr '\t' '\n'); do
aws ecs describe-tasks --cluster "$CLUSTER" --tasks "$TASK" \
--query "tasks[].[taskDefinitionArn | split('/') | last, lastStatus, cpu, memory, group, connectivity]" \
--output text &
done
done
wait
echo "" | column -t | head -20
echo ""
echo "=== Task Definitions (Fargate-compatible) ==="
aws ecs list-task-definitions --status ACTIVE --output text --query 'taskDefinitionArns[]' \
| tr '\t' '\n' | tail -10 | while read TD; do
aws ecs describe-task-definition --task-definition "$TD" \
--query 'taskDefinition.[family,revision,cpu,memory,networkMode,requiresCompatibilities[0]]' \
--output text
done | column -t
```
## Phase 2: Analysis
```bash
#!/bin/bash
export AWS_PAGER=""
END=$(date -u +"%Y-%m-%dT%H:%M:%S")
START=$(date -u -d "7 days ago" +"%Y-%m-%dT%H:%M:%S" 2>/dev/null || date -u -v-7d +"%Y-%m-%dT%H:%M:%S")
echo "=== CPU & Memory Utilization per Service ==="
for CLUSTER in $(aws ecs list-clusters --output text --query 'clusterArns[]' | tr '\t' '\n'); do
CLUSTER_NAME=$(echo "$CLUSTER" | rev | cut -d'/' -f1 | rev)
for SVC in $(aws ecs list-services --cluster "$CLUSTER" --launch-type FARGATE --output text --query 'serviceArns[]' | tr '\t' '\n'); do
SVC_NAME=$(echo "$SVC" | rev | cut -d'/' -f1 | rev)
{
CPU=$(aws cloudwatch get-metric-statistics --namespace AWS/ECS --metric-name CPUUtilization \
--dimensions Name=ClusterName,Value="$CLUSTER_NAME" Name=ServiceName,Value="$SVC_NAME" \
--start-time "$START" --end-time "$END" --period 604800 --statistics Average Maximum \
--output text --query 'Datapoints[0].[Average,Maximum]')
MEM=$(aws cloudwatch get-metric-statistics --namespace AWS/ECS --metric-name MemoryUtilization \
--dimensions Name=ClusterName,Value="$CLUSTER_NAME" Name=ServiceName,Value="$SVC_NAME" \
--start-time "$START" --end-time "$END" --period 604800 --statistics Average Maximum \
--output text --query 'Datapoints[0].[Average,Maximum]')
printf "%s/%s\tCPU:%s\tMEM:%s\n" "$CLUSTER_NAME" "$SVC_NAME" "$CPU" "$MEM"
} &
done
done
wait
echo ""
echo "=== Auto Scaling Policies ==="
for CLUSTER in $(aws ecs list-clusters --output text --query 'clusterArns[]' | tr '\t' '\n'); do
CLUSTER_NAME=$(echo "$CLUSTER" | rev | cut -d'/' -f1 | rev)
for SVC in $(aws ecs list-services --cluster "$CLUSTER" --launch-type FARGATE --output text --query 'serviceArns[]' | tr '\t' '\n'); do
SVC_NAME=$(echo "$SVC" | rev | cut -d'/' -f1 | rev)
aws application-autoscaling describe-scaling-policies \
--service-namespace ecs \
--resource-id "service/${CLUSTER_NAME}/${SVC_NAME}" \
--query 'ScalingPolicies[].[ResourceId,PolicyName,PolicyType]' \
--output text 2>/dev/null
done
done | column -t
echo ""
echo "=== Container Health Checks ==="
for CLUSTER in $(aws ecs list-clusters --output text --query 'clusterArns[]' | tr '\t' '\n'); do
for TASK in $(aws ecs list-tasks --cluster "$CLUSTER" --launch-type FARGATE --output text --query 'taskArns[]' | tr '\t' '\n' | head -10); do
aws ecs describe-tasks --cluster "$CLUSTER" --tasks "$TASK" \
--query 'tasks[].containers[].[name,lastStatus,healthStatus]' --output text 2>/dev/null
done
done | column -t
```
## Output Format
```
AWS FARGATE ANALYSIS
=====================
Cluster/Service Tasks CPU-Avg CPU-Max Mem-Avg Mem-Max Scaling
─────────────────────────────────────────────────────────────────────────
prod/web-api 3 25.4% 78.2% 45.1% 62.3% target-tracking
prod/worker 2 65.2% 92.1% 78.0% 85.4% step-scaling
staging/web-api 1 5.1% 12.0% 20.5% 25.0% none
Clusters: 2 | Services: 5 | Tasks: 8 running
Platform: 1.4.0 | Health: 8/8 containers HEALTHY
```
## Safety Rules
- **Read-only**: Only use `list-*`, `describe-*`, and CloudWatch queries
- **Never stop tasks**, update services, or modify scaling without confirmation
- **Parallel execution**: Use background jobs for multi-service metric queries
- **Costs**: Large clusters with many services may incur CloudWatch API costs
## Anti-Hallucination Rules
1. **NEVER assume resource names** — always discover via CLI/API in Phase 1 before referencing in Phase 2.
2. **NEVER fabricate metric names or dimensions** — verify against the service documentation or `--help` output.
3. **NEVER mix CLI commands between service versions** — confirm which version/API you are targeting.
4. **ALWAYS use the discovery → verify → analyze chain** — every resource referenced must have been discovered first.
5. **ALWAYS handle empty results gracefully** — an empty response is valid data, not an error to retry.
## Counter-Rationalizations
| Shortcut | Counter | Why |
|----------|---------|-----|
| "I'll skip discovery and check known resources" | Always run Phase 1 discovery first | Resource names change, new resources appear — assumed names cause errors |
| "The user only asked for a quick check" | Follow the full discovery → analysis flow | Quick checks miss critical issues; structured analysis catches silent failures |
| "Default configuration is probably fine" | Audit configuration explicitly | Defaults often leave logging, security, and optimization features disabled |
| "Metrics aren't needed for this" | Always check relevant metrics when available | API/CLI responses show current state; metrics reveal trends and intermittent issues |
| "I don't have access to that" | Try the command and report the actual error | Assumed permission failures prevent useful investigation; actual errors are informative |
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