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Multi-Region Scheduling for Global Teams
Regional Independence Model for teams across US, EU, and Asia timezones. Demonstrates per-region schedules, tiered approach, and multi-cloud implementation.
Input
What you provide to the skill
Our team spans US, EU, and Asia timezones with dev environments in all 3 regions. We need resources available during each region’s work hours but want to cut costs. What scheduling strategy works?
Output
What the skill generates for you
Dev Environment Cost Optimization Plan
Your Savings Analysis
THE CHALLENGE:
Traditional scheduling picks ONE timezone, disrupting other regions. Solution: Regional Independence with per-region schedules.
Regional Usage Pattern Analysis:
US Region (EST/PST):
- Active: 6am-9pm PST (15 hours)
- Idle: 9pm-6am PST (9 hours nightly)
- Idle hours/month: ~300 hours (41%)
EU Region (CET):
- Active: 7am-8pm CET (13 hours)
- Idle: 8pm-7am CET (11 hours nightly)
- Idle hours/month: ~350 hours (48%)
Asia Region (SGT):
- Active: 8am-8pm (12 hours)
- Idle: 8pm-8am (12 hours nightly)
- Idle hours/month: ~360 hours (49%)
WEIGHTED AVERAGE SAVINGS: 46%
Savings Projection ($1,000/month per region):
US Region: $1,000 x 41% = $410/month
EU Region: $1,000 x 48% = $480/month
Asia Region: $1,000 x 49% = $490/month
Total Monthly Savings: $1,380
Total Annual Savings: $16,560
Recommended Strategy: Regional Independence Model
Tier 1: Personal Dev Environments
- Schedule based on owner’s timezone
- 50-60% savings potential
Tier 2: Regional Staging
- Nightly shutdown during local off-hours
- 45-48% savings
Tier 3: Global Integration
- Keep ONE region 24/7 (cheapest - Asia)
- 30-35% savings on global resources
Implementation Scripts
AWS Multi-Region Schedules
US Region (9pm-6am PST off):
aws dynamodb put-item \
--table-name InstanceScheduler-ConfigTable \
--item '{
"type": {"S": "schedule"},
"name": {"S": "us-work-hours"},
"periods": {"SS": ["us-weekday-hours"]},
"timezone": {"S": "America/Los_Angeles"}
}'
aws dynamodb put-item \
--table-name InstanceScheduler-ConfigTable \
--item '{
"type": {"S": "period"},
"name": {"S": "us-weekday-hours"},
"begintime": {"S": "06:00"},
"endtime": {"S": "21:00"},
"weekdays": {"SS": ["mon", "tue", "wed", "thu", "fri"]}
}'
EU Region (8pm-7am CET off):
aws dynamodb put-item \
--table-name InstanceScheduler-ConfigTable \
--item '{
"type": {"S": "schedule"},
"name": {"S": "eu-work-hours"},
"periods": {"SS": ["eu-weekday-hours"]},
"timezone": {"S": "Europe/Berlin"}
}'
Tag Resources by Region:
# US resources
aws ec2 create-tags --region us-east-1 \
--resources i-us-dev-001 \
--tags Key=Schedule,Value=us-work-hours Key=Region,Value=us
# EU resources
aws ec2 create-tags --region eu-central-1 \
--resources i-eu-dev-001 \
--tags Key=Schedule,Value=eu-work-hours Key=Region,Value=eu
# Global (24/7 in cheapest region)
aws ec2 create-tags --region ap-southeast-1 \
--resources i-global-integration \
--tags Key=Schedule,Value=24x7 Key=EnvironmentTier,Value=global
GCP Implementation
# US Region stop at 9pm PST = 5am UTC
gcloud scheduler jobs create http stop-us-dev \
--location=us-central1 \
--schedule="0 5 * * 2-6" \
--uri="https://REGION-PROJECT.cloudfunctions.net/scale?action=stop"
# EU Region stop at 8pm CET = 7pm UTC
gcloud scheduler jobs create http stop-eu-dev \
--location=europe-west3 \
--schedule="0 19 * * 1-5" \
--uri="https://REGION-PROJECT.cloudfunctions.net/scale?action=stop"
4-Week Rollout
Week 1: Primary region pilot (US) - 2-3 resources
Week 2: Full US region rollout
Week 3: EU region rollout
Week 4: Asia region + global resource decision
Cross-Region Considerations
- Asia team needs US resources? Keep global integration 24/7 in Asia
- Cross-region dependencies? Document and keep those resources on
24x7schedule - Overnight data sync? Keep sync infrastructure running
Per-Region Rollback
# Disable US region only
aws events disable-rule --region us-east-1 --name stop-us-dev
aws events disable-rule --region us-east-1 --name start-us-dev
# Start all US resources
aws ec2 start-instances --region us-east-1 \
--instance-ids $(aws ec2 describe-instances --region us-east-1 \
--filters "Name=tag:Region,Values=us" \
--query 'Reservations[*].Instances[*].InstanceId' --output text)
Summary
Your Multi-Region Strategy:
- Model: Regional Independence with tiered scheduling
- Expected Savings: $16,560/year (46% reduction)
- Implementation: 6-8 hours (1-2 per region)
- Rollout: 4 weeks (staggered by region)
- Safety: Per-region rollback, 24/7 global fallback
Next Action: Audit resources by region, implement Week 1 pilot in primary region.
About This Skill
Reduce dev/staging cloud costs by 60-70% through intelligent scheduling. Get cloud-specific scripts and savings calculations for AWS, GCP, or Azure.
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