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What AWS Cost Explorer Actually Is

AWS Billing Console

AWS Cost Explorer shows your spending over time with basic charts. The interface is stupidly slow compared to paid alternatives like CloudHealth or CloudZero which start around $500+ per month.

AWS bills are basically incomprehensible without some kind of visual breakdown. Cost Explorer provides that breakdown but the interface is painfully slow. Loading a basic service breakdown takes 30+ seconds, which is why everyone bitches about it.

What It Actually Does (The Good Stuff)

Cost Explorer pulls data from AWS Cost and Usage Reports and creates basic charts. Without it, you're downloading CSV files and building spreadsheets like a caveman.

What works:

  • Monthly cost breakdowns by service - shows whether EC2 or data transfer costs are eating your budget
  • Account-level analysis for multi-account setups - useful with AWS Organizations
  • Reserved Instance tracking - monitors RI utilization (one of the few things that doesn't suck)
  • Basic forecasting - predicts next month's bill (works for stable workloads, completely wrong for anything with variable traffic)

The 38-month historical data helps with annual budget planning if you can wait for it to load.

Integration Reality Check

AWS Budgets Integration

Cost Explorer integrates with AWS Budgets for alerts and AWS Cost Anomaly Detection for unusual spending notifications. Basic but functional.

The AWS Organizations support works well for multiple accounts. You can view costs by organizational unit, which is useful for figuring out which team is burning through the budget this month.

What Sucks About It

Warning Issues

Main problems:

  • 24-hour data delay - Cost data is always delayed, so good luck catching a runaway bill
  • Slow performance - Charts load slower than Windows 95
  • No real-time alerts - Need AWS Budgets for immediate notifications
  • API costs - $0.01 per request adds up fast with automation

The forecasting works poorly for variable workloads. If your traffic isn't as predictable as a grandfather clock, the predictions are basically useless.

Most teams start with Cost Explorer but upgrade to CloudHealth or CloudZero within 6-12 months because the interface drives them insane.

Cost Explorer vs Actual Cost Tools

Feature

AWS Cost Explorer

CloudHealth

CloudZero

Spot.io

Price

Free (API costs $0.01/request)

$5k+/month (negotiate down)

Starts ~$2k/month

~$3k+/month

AWS Integration

✅ Native

⚠️ API-based

⚠️ API-based

⚠️ API-based

Multi-Cloud

❌ AWS only

✅ All clouds

✅ AWS, Azure, GCP

✅ AWS, Azure, GCP

Real-time Data

❌ 24h delay

✅ Near real-time

✅ Real-time

✅ Real-time

Interface Speed

❌ Painfully slow

✅ Fast

✅ Fast

✅ Fast

Forecasting

⚠️ Wrong for variable traffic

✅ Advanced ML

✅ ML-based

✅ K8s workload-specific

Automation

❌ Recommendations only

⚠️ Recommendations only

✅ Some automation

✅ Full automation

Dashboards

❌ Basic charts

✅ Customizable

✅ Business-focused

✅ Engineering-focused

Learning Curve

✅ Simple

⚠️ Enterprise complex

⚠️ Medium

⚠️ K8s focused

Best For Team Size

1-10 engineers

50+ engineers

10-100 engineers

20+ engineers (K8s)

Time to Value

Immediate

2-4 weeks

1-2 weeks

1-3 weeks

Features That Actually Matter (And Their Problems)

AWS Cost Explorer Dashboard

Basic Cost Charts and Why They're Slow

Cost Explorer provides line charts, bar charts, and stacked area charts. Loading times are painfully slow - a monthly breakdown by service typically takes 15-30 seconds. These performance issues are well documented by frustrated users.

The 38-month historical data helps identify long-term spending trends if you have the patience to wait for it. Each additional filter makes it even slower. AWS documentation casually mentions these "interface limitations" like it's no big deal.

Filtering by service, account, region, and tags works for basic cost analysis. Tagging-based cost allocation requires consistent resource tagging, which most teams fuck up because nobody remembers to tag shit consistently.

Forecasting That's Hit or Miss

Machine Learning Forecasting

The machine learning forecasting uses 13 months of historical data. It works reasonably well for steady workloads like long-running RDS instances. For applications with variable traffic patterns, the predictions are basically random numbers.

The confidence intervals are ridiculously wide for unpredictable workloads. AWS acknowledges this limitation in their docs, which is corporate speak for "this shit doesn't work for most real applications."

Cost Comparison Feature

AWS added Cost Comparison functionality for automatic month-over-month change analysis. Actually useful for understanding why your bill jumped 40% this month.

The "Top Trends widget" shows the 10 biggest cost changes and categorizes them by usage, pricing, or credit changes. Saves you from manually comparing charts like a caveman.

Resource-Level Data (Costs Extra, Obviously)

Resource-level data for individual EC2 instances and RDS databases costs $0.01 per 1,000 usage records monthly. This adds up quickly in large environments because AWS loves nickel and diming you.

Auto-scaling workloads generate tons of usage records - each instance start/stop creates records. The pricing calculator doesn't include these Cost Explorer charges because that would be too helpful.

Resource-level data is available for:

  • Past 14 days at daily granularity (free)
  • Past 14 days at hourly granularity (paid, naturally)
  • Custom resource groups if your resources are tagged consistently (spoiler: they're not)

API Access (More Expensive Than You Think)

API Access

The Cost Explorer API costs $0.01 per request. This gets expensive fast with automation that queries frequently. We burned through $200/month just checking if we were overspending.

For regular monitoring, many teams use Cost and Usage Report files instead of API calls because AWS charges you to check how much they're charging you.

Main Limitations

Key problems include:

  • No real-time alerts - Need AWS Budgets for immediate cost notifications
  • Multi-account navigation - Switching between accounts is slow (results cache for ~15 minutes)
  • Limited customization - Basic dashboard options only
  • CSV export limitations - Export functionality is garbage
  • Forecasting assumptions - Assumes steady usage patterns, useless for variable workloads

The 24-hour data delay means cost spikes aren't visible until the following day. Good luck catching a runaway bill before it nukes your budget.

Teams needing immediate cost visibility often move to CloudHealth or use Cost and Usage Reports for custom solutions. Most companies migrate to third-party tools within 6-12 months because the interface performance becomes unbearable.

Getting Started with Cost Explorer | The Keys to AWS Optimization | S4 E14 by The Keys to AWS Optimization

This tutorial demonstrates Cost Explorer's interface and common use cases including filtering, cost analysis, and forecasting features. Fair warning: even in the demo video you can see how slow the interface is.The video covers basic navigation, cost breakdown analysis, and practical examples of using Cost Explorer for cost investigation. Pay attention to the interface loading times - they're painfully obvious even in the demonstration.

📺 YouTube

Questions People Actually Ask

Q

Why the hell is Cost Explorer so slow?

A

Cost Explorer performance is dogshit compared to third-party alternatives. A monthly breakdown typically takes 15-30 seconds to load. Each filter change requires additional loading time.

AWS says it's because they're processing large datasets, but paid tools like CloudHealth load similar billing data instantly. It's clearly an architectural problem that AWS doesn't care to fix.

Q

How much is this API going to cost me?

A

The Cost Explorer API costs $0.01 per request. This shit adds up fast with automation. A daily cost dashboard might make 200-500 API calls per day across multiple accounts and services, hitting you for $60-150/month in API costs.

Don't forget to factor these charges into your budget when building cost monitoring tools, especially if you're polling frequently. AWS charges you to check how much they're charging you.

Q

Can I get real-time cost data?

A

Nope. Cost Explorer has a minimum 24-hour delay for cost data. For immediate cost alerts, use AWS Budgets or third-party tools like CloudHealth.

Q

How accurate is the forecasting?

A

Cost Explorer forecasting works fine for stable, predictable workloads like long-running databases. For applications with variable traffic patterns or usage spikes, the predictions are basically useless.

The confidence intervals are stupidly wide for unpredictable workloads, making the forecasts worthless for planning. If your infrastructure isn't as predictable as a grandfather clock, don't trust the predictions.

Q

Is Cost Explorer free?

A

The basic console interface is free (shocking, I know). Additional costs include:

  • API calls at $0.01 each
  • Hourly granularity at $0.01 per 1,000 records
  • Resource-level data charges
  • AWS Budgets for alerting (separate service, naturally)
Q

How does multi-account billing work?

A

Cost Explorer supports multi-account billing through AWS Organizations. You can view costs by individual account, but navigation between accounts requires multiple dropdown selections and loading times.

The interface doesn't show all accounts simultaneously - you select accounts individually through dropdowns. For organizations with many accounts, this becomes a massive pain in the ass compared to tools that display multi-account data in unified dashboards.

Q

Should I enable hourly granularity?

A

Think twice about the costs. Hourly granularity charges $0.01 per 1,000 usage records monthly. Auto-scaling workloads generate tons of records - each instance start/stop creates separate records.

AWS charges for the full month regardless of when you enable the feature. Disabling takes effect the following month. Monitor usage carefully to avoid surprise bills that'll make you question your life choices.

Q

Can I export data to Excel/BI tools?

A

Cost Explorer supports CSV export, but it's limited as fuck. The export button is in the top-right corner and only exports currently visible data. For large date ranges, you need multiple exports.

CSV exports have inconsistent formatting and column structures. For programmatic access to cost data, use Cost and Usage Reports which provide more reliable data formats (and don't make you want to scream).

Q

What about Reserved Instances and Savings Plans?

A

Cost Explorer provides RI utilization tracking and recommendation engines. The recommendations are conservative as hell, only suggesting RIs for super stable workloads. The RI/SP tracking is actually one of the few things that doesn't suck.

Q

When should I just give up and buy CloudHealth?

A

Consider upgrading when Cost Explorer's limitations drive you insane:

  • Multi-cloud environments need unified visibility
  • Real-time alerting becomes necessary for your sanity
  • Interface performance affects team productivity
  • Automated optimization would save significant money
  • Executive reporting needs improve (they want pretty charts)

Most companies migrate to paid tools within 6-12 months because the performance issues become unbearable.

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