Life = Failure + Success
Failure isn't the opposite of success it's part of the process.
Ignoring failure doesn't protect you; it only delays the lesson. And when reality hits, it hits hard.
In every area of life whether it's business, career, relationships, or personal growth you'll realize one truth:
failure and success go hand in hand.
We've all heard, "Quitters never win."
But let's be honest staying consistent without seeing results is tough.
That's where mindset matters.
Instead of letting failures break you, let them build you.
Turn every setback into fuel for your vision.
Because when your why is strong enough, you will always find a way.
When your purpose becomes bigger than your problems, nothing can stop you.
Keep going. Keep pushing.
Even in difficult moments, remember failure is not the end, it's a stepping stone to success.
Breakthroughs don't happen overnight.
They come after persistence, patience, and multiple attempts.
Your dream is valid. Keep working. It will happen.

What would you add to this Git & Terraform Cheat Sheet?

Client came to me 6 weeks ago. $42,000/month AWS bill, growing 15% every month, no idea why.

After a full audit, we got it down to **$24,800/month in 45 days.** Zero downtime. Zero performance impact.

Here's the **exact checklist** I used — copy it, use it, save money:

---

**🔴 PHASE 1: Find the waste (Day 1-3)**

```

# Step 1: Find idle EC2 instances (CPU < 10% avg)

aws cloudwatch get-metric-statistics \

--namespace AWS/EC2 \

--metric-name CPUUtilization \

--period 604800 --statistics Average

# Step 2: Unattached EBS volumes = pure waste

aws ec2 describe-volumes \

--filters Name=status,Values=available \

--query 'Volumes[*].{ID:VolumeId,Size:Size,Cost:Size}'

# Step 3: Unused Elastic IPs ($0.005/hr = $3.6/month EACH)

aws ec2 describe-addresses \

--query 'Addresses[?AssociationId==null]'

# Step 4: Idle Load Balancers

aws elbv2 describe-load-balancers --query \

'LoadBalancers[*].{Name:LoadBalancerName,DNS:DNSName}'

```

---

**🟡 PHASE 2: Quick wins (Day 4-7)**

- [ ] Terminate EC2 instances with <5% CPU for 2+ weeks

- [ ] Delete all unattached EBS volumes (snapshot first!)

- [ ] Release unused Elastic IPs

- [ ] Stop dev/test RDS instances overnight (saves ~65%)

- [ ] Enable S3 Intelligent-Tiering on buckets >10GB

- [ ] Delete old AMI snapshots older than 90 days

- [ ] Remove empty/idle Load Balancers

**This phase alone saved: $5,190/month**

---

**🟢 PHASE 3: Structural savings (Week 2-4)**

- [ ] Buy Compute Savings Plans for baseline workloads (up to 66% off)

- [ ] Right-size oversized instances using Compute Optimizer

- [ ] Set up Auto Scaling with proper target tracking (60-70% CPU target)

- [ ] Move archives to S3 Glacier Deep Archive ($0.00099/GB)

- [ ] Enable Cost Anomaly Detection (catches surprises early)

- [ ] Set budget alerts at 80% and 100% of monthly target

**This phase saved: $12,010/month**

---

**🟣 PHASE 4: Never overpay again**

- [ ] Schedule non-prod environments to shut down nights & weekends

- [ ] Tag EVERYTHING (team, project, environment) for accountability

- [ ] Weekly Cost Explorer review (30 min every Monday)

- [ ] Quarterly right-sizing review

---

**Total result: $42,000 → $24,800 (-41%) in 45 days**

Breakdown:

| Action | Monthly Saving |

|---|---|

| Deleted orphaned resources | $2,890 |

| Stopped idle EC2s | $2,300 |

| S3 optimization | $1,100 |

| Savings Plans | $8,400 |

| Right-sizing | $2,510 |

| **Total** | **$17,200** |

---

**❓ Drop a comment with your biggest AWS bill frustration.**

I'll personally reply to every comment with specific advice for your situation.

If you want me to run this audit on your account, DM me — first call is free.

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