Cloud Economics, Migration Strategies and the Cloud Journey
Beginner⏱60 minutesπŸ“–36 min readLesson 2 of 16

Cloud Economics, Migration Strategies and the Cloud Journey

Domain 1 of CLF-C02 end to end, the AWS value proposition and six advantages of cloud computing, the Well-Architected Framework pillars, the AWS Cloud Adoption Framework perspectives, the 6 Rs (and the 7 Rs) migration strategies with database replication and Snowball, the migration journey resources, and cloud economics from fixed-versus-variable cost and capex-to-opex through TCO/ROI, BYOL, rightsizing, automation and the shared-responsibility shift across EC2, RDS and Lambda.

Domain 1 of the CLF-C02 exam carries 24% of the scored content, the second-largest domain on the paper, and it is the one domain where AWS asks you to argue in the language of a business case rather than a service feature. Everything else in the exam (security, global infrastructure, services, billing) assumes you already accept the premise; Domain 1 is the premise. Candidates who arrive with a long list of service names but no vocabulary for fixed versus variable cost, capex versus opex, or "why rehost and later replatform" lose marks they never expected to be answering for.

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===================================================================== CLF-C02 DOMAIN 1 - CLOUD CONCEPTS (24% OF SCORED CONTENT) ===================================================================== TASK 1.1 Define the benefits of the AWS Cloud - value proposition of the AWS Cloud - speed of deployment, global reach - high availability, elasticity, agility - economies of scale (PDF exam guide wording) TASK 1.2 Identify design principles of the AWS Cloud - AWS Well-Architected Framework and its pillars - identifying differences between the pillars TASK 1.3 Understand the benefits of and strategies for migration - AWS CAF components (reduced business risk, better ESG performance, increased revenue, operational efficiency) - migration strategies (for example, database replication) - resources supporting the cloud migration journey - use of AWS Snowball (PDF exam guide wording) TASK 1.4 Understand concepts of cloud economics - fixed costs compared with variable costs - costs associated with on-premises environments - licensing strategies (BYOL vs included licenses) - rightsizing; benefits of automation; economies of scale - AWS CloudFormation; managed AWS services (PDF wording) --------------------------------------------------------------------- FULL EXAM WEIGHTS: D1 24% | D2 30% | D3 34% | D4 12% FORMAT: 50 scored + 15 unscored items | pass 700 (scale 100-1,000) =====================================================================
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ℹ️Note

Two exam guides exist, and they differ. The HTML exam guide and the PDF exam guide are not identical: the PDF adds economies of scale to task 1.1, names AWS Snowball in task 1.3, and adds AWS CloudFormation plus managed AWS services (Amazon RDS, Amazon ECS, Amazon EKS, Amazon DynamoDB) to task 1.4. AWS publishes no statement reconciling them, so this lesson teaches the union of both: an objective that appears in either version is fair game on exam day.

In this lesson you will:

  • state the six advantages of cloud computing in AWS's own wording;
  • separate economies of scale, global reach, speed, elasticity, scalability and high availability;
  • walk the six Well-Architected pillars and the six general design principles, and show how the pillars trade off against each other;
  • map the six AWS CAF perspectives to owners and to the four examinable outcomes;
  • choose between the 6 Rs and the 7 Rs migration strategies with a decision tree, and name the tools behind database replication;
  • place the Assess β†’ Mobilize β†’ Migrate & Modernize journey and its supporting resources on a single map;
  • convert a fixed-cost, capex on-premises estate into a variable-cost, opex cloud model;
  • build a TCO and ROI comparison with worked arithmetic you can reproduce in 90 seconds;
  • decide between BYOL and license-included, and order rightsizing before discounts;
  • explain how the responsibility line moves across EC2, RDS and Lambda;
  • read two real AWS migration case studies and handle their numbers honestly;
  • answer 10 exam-style questions plus three interactive checks;
  • then extend the story set with Netflix, Box and FarEye, work the 2026 updates box, and drill a case-study matching check plus two extra questions (clf-02-q11, clf-02-q12).

1. The value proposition of the AWS Cloud (task 1.1)

1.1 The six advantages, verbatim

AWS publishes six advantages of cloud computing in a whitepaper, and exam questions quote the phrases almost word for word. Learn the bolded trigger phrase for each row; that is the string the question stem will reproduce.

#
Advantage (AWS wording)
The trigger phrase
What it kills on-premises
1
Trade fixed expense for variable expense
"pay only when you consume computing resources"
Buying hardware before you need it
2
Benefit from massive economies of scale
usage from "hundreds of thousands of customers" is aggregated β†’ "lower pay-as-you-go prices"
Paying retail for one company's volume
3
Stop guessing capacity
provision "on demand" with "only a few minutes' notice"
20 to 50% over-provisioning against a peak forecast
4
Increase speed and agility
deployment time drops "from weeks to just minutes"
6 to 9 month procurement lead times
5
Stop spending money running and maintaining data centers
stop paying for "racking, stacking, and powering servers"
Facilities, power, cooling, physical labour
6
Go global in minutes
a "worldwide footprint" gives "lower latency"
Building your own overseas data centre

AWS also states it operates over 200 fully featured services (as of Oct 2026): a figure worth remembering because distractors like "over 1,000 services" are easy to eliminate.

1.2 Example E1: economies of scale, arithmetically

Economies of scale are structural, not a promotion. The cloud provider aggregates demand across customers, so it buys power, hardware and floor space at a price no single company can reach, and passes part of the difference into a lower variable rate.

Two customers, each needing a peak of 10 units, but their peaks are anti-correlated (one is busy when the other is quiet):

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Separate estates: customer A provisions 10 + customer B provisions 10 = 20 units Shared aggregation: peaks do not coincide, combined peak = 12 units Hardware delta: 20 - 12 = 8 units saved -> 8/20 = 40% LESS hardware Outcome: identical demand, 40% less infrastructure, which is where the "lower pay-as-you-go prices" come from

1.3 Global reach, speed of deployment and agility

Benefit
Examinable meaning
Watch out for
Global reach
"Go global in minutes": deploy to multiple AWS Regions without building facilities
Not the same as high availability (that is Availability Zones)
Speed of deployment
"from weeks to just minutes": infrastructure on demand
Never quote it as "seconds"
Agility
Teams experiment and iterate because the cost of a failed trial is metered, not sunk
Agility is an organizational benefit, not a service
High availability
Survive the failure of a component by spanning multiple Availability Zones
Not redundancy across Regions (that is disaster recovery)
Elasticity
Grow and shrink capacity automatically with demand
Elasticity β‰  scalability
Scalability
Absorb growth (scale out / scale up)
Growth only: no mention of shrinking
  • πŸ“š Did you know? As of Oct 2026 AWS reports 39 geographic Regions and 124 Availability Zones, with each Region required to carry a minimum of three isolated, physically separate AZs, all within 100 km (60 miles) of each other. An Availability Zone is defined as "one or more discrete data centers, each with redundant power, networking, and connectivity", so an AZ is not a rack, and a Region is not an AZ.

1.4 Example E2: "stop guessing capacity" in numbers

A team forecasts a peak of 100 vCPU. On-premises practice is to buy 20% to 50% over the peak-predicted demand so the forecast cannot bite:

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Peak forecast .............. 100 vCPU Over-provisioning ......... +20% to +50% -> buy 120 to 150 vCPU Typical average utilization of an on-premises server: 12% to 18% Useful work at 15% .......... 150 x 0.15 = 22.5 vCPU Idle but still paid for ..... 150 - 22.5 = 127.5 vCPU (~85% idle)

That is what "stop guessing capacity" means: instead of buying for the peak and sitting idle, you provision to measured demand in minutes and let elasticity absorb the spike. The same logic repeats at every later layer of this lesson: idle capacity is the enemy in rightsizing, in licensing and in the TCO table.


2. Design principles: the AWS Well-Architected Framework (task 1.2)

2.1 What the Framework is

The AWS Well-Architected Framework documents best practices for designing and operating secure, reliable, efficient, cost-effective, and sustainable workloads. The exam-relevant detail about the process is this: a Well-Architected review is "a constructive conversation... not an audit mechanism"; you will never be asked to "pass" one, and the AWS Well-Architected Tool that runs it is free and on the in-scope service list.

2.2 The six pillars

Pillar
What it is about (AWS wording)
The value it delivers
Operational Excellence
Run, monitor and continually improve processes and procedures; automate
Agility and staff productivity
Security
Protect information and systems: confidentiality, integrity, availability
Resilience and compliance
Reliability
Do what they should, and recover quickly from failure
Resilience
Performance Efficiency
Use computing resources efficiently as demand and technology change
Right-sized spend
Cost Optimization
Avoid unnecessary cost
Lower total cost of ownership (TCO)
Sustainability
Minimize the environmental impact of running workloads
ESG performance
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2.3 The six general design principles

All six principles do the same underlying move: they convert upfront, fixed, idle spend into metered, on-demand, evidence-driven spend.

Principle (AWS wording)
The habit it replaces
Stop guessing your capacity needs
Buying for a forecast peak
Test systems at production scale
Testing only on a small staging set
Automate with architectural experimentation in mind
Hand-built, unrepeatable changes
Consider evolutionary architectures
Five-year big-bang designs
Drive architectures using data
Opinions instead of metrics
Improve through game days
Hoping failure never happens

2.4 Example E3: the pillars are not interchangeable

Task 1.2 explicitly asks you to identify differences between the pillars. They conflict, and the exam tests whether you notice:

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Decision: keep three hot spare instances idle so a failure never reaches users. Reliability ......... IMPROVES (spare capacity absorbs the failure) Cost Optimization ... WORSENS (illustrative $400/month x 12 = $4,800/year paid for capacity that does nothing; teaching figure, as of Oct 2026 - NOT an AWS list price)

There is no pillar that wins automatically. The correct exam posture is a trade-off that is deliberate and measured, not a claim that one pillar is "the most important". Note also that Sustainability and Cost Optimization both talk about reduction, and Security and Reliability both talk about resilience: similar words, different pillars, different owners.

Matching Question
How to answer

Matching exercise with 6 pairs. Match each item on the left with its answer on the right.

Match each Well-Architected pillar to the value it delivers on the CLF-C02 exam:

Operational Excellence
Drop here
Security
Drop here
Reliability
Drop here
Performance Efficiency
Drop here
Cost Optimization
Drop here
Sustainability
Drop here

Drag answers from here:

Agility and staff productivity: run, monitor, continually improve and automate
Resilience and compliance: protect information and systems
Resilience: do what they should and recover quickly from failure
Right-sized spend: use computing resources efficiently as demand and technology change
Lower total cost of ownership: avoid unnecessary cost
ESG performance: minimize the environmental impact of running workloads
  • πŸ“š Did you know? The Cloud Adoption Framework (Section 3), the Well-Architected Framework (this section) and the Cloud Value Framework (Section 6) are three different lists of five or six items that candidates merge constantly: Well-Architected has 6 pillars about workload quality, CAF has 6 perspectives about organizational readiness, and the Cloud Value Framework has 5 pillars about business value: of which TCO is only pillar 1 of 5.

3. The AWS Cloud Adoption Framework (task 1.3)

3.1 Six perspectives, six owners

The AWS Cloud Adoption Framework (AWS CAF) groups its capabilities in six perspectives. Each perspective is a conversation with a different part of the organization; that is why the exam asks you to match a perspective to a stakeholder or a concern.

Perspective
Typical owner
What it covers
Business
CEO, CFO, COO, CIO, CTO
Strategy, transformation opportunities, value realization
People
HR, culture leads
Culture, organization structure, workforce skills
Governance
Risk, finance, compliance
Maximize benefits and minimize risk; portfolio management
Platform
Architects
Scalable hybrid platform, modernization, migration factory
Security
CISO and security teams
Confidentiality, integrity, availability of data and systems
Operations
IT operations
Services delivered at agreed business levels

Published capability counts (as of Oct 2026): People 7, Governance 7, Platform 7, Security 9, Operations 9. AWS does not publish a Business-perspective count in the sources verified for this lesson, so do not memorize a total.

3.2 The four examinable outcomes

Task 1.3 names the outcomes you must recognize. A CAF-led program is judged on:

  1. Reduced business risk
  2. Improved environmental, social, and governance (ESG) performance
  3. Increased revenue
  4. Increased operational efficiency

3.3 One map: CAF β†’ MAP β†’ Well-Architected

These three frameworks appear together in almost every migration question. They answer three different questions, in this order:

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⚠️Warning

⚠️ Three lists you must never mix. Well-Architected 6 pillars = workload quality. AWS CAF 6 perspectives = organizational readiness (Business, People, Governance, Platform, Security, Operations). Cloud Value Framework 5 pillars = business value. A distractor will offer "Sustainability" as a CAF perspective or "Governance" as a Well-Architected pillar, both are wrong. Separately, the Migration Acceleration Program says its Assess phase identifies capability gaps across six dimensions (business, process, people, platform, operations, security), and those six are not the CAF six, use the CAF names when the question says "perspective".


4. Migration strategies: the 6 Rs (task 1.3)

4.1 The strategies and their glosses

AWS's older and still exam-popular framing is the 6 Rs, built on the five Rs that Gartner outlined. The current AWS Prescriptive Guidance framing is the 7 Rs, which adds Relocate. Both appear in study material; the exam guide itself never enumerates either list.

R
AWS gloss
What you actually do
Choose it when
Rehost
"lift and shift"
Move the workload unchanged (virtual machines to EC2)
No code change allowed; fastest path; large portfolios first
Replatform
"lift and reshape"
Small optimization without changing the core architecture (for example VM β†’ managed database)
You want a managed benefit with limited effort
Repurchase
"drop and shop"
Replace with a different product, usually SaaS
The current product is not strategic
Refactor / re-architect
"cloud-native features"
Rewrite for cloud-native capabilities
You need cloud-native features; most complex and costly
Retire
"decommission or remove"
Turn the application off
No business case, or the app is unused
Retain
"revisit"
Keep it where it is, plan to change later
Critical now, refactor later (data residency, timing)
Relocate (7 Rs only)
"hypervisor-level lift and shift"
Move the whole platform/hypervisor estate to the cloud
You already run a supported hypervisor estate
ℹ️Note

6 Rs vs 7 Rs: how to answer. The 2016 AWS strategy blog says 6 Rs; AWS Prescriptive Guidance today says "There are seven migration strategies... known as the 7 Rs." If a question asks "which is NOT one of the 6 Rs?", Relocate is the designed bait. If it asks for the current AWS set, answer 7 Rs.

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4.2 Example E4: sorting a 40-application portfolio

An enterprise assesses 40 applications. Using AWS's own order-of-magnitude guidance that "as much as 10% to 20% of an enterprise IT portfolio is no longer useful and can be turned off":

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Retire ......... 4 apps (10% of the portfolio - switched off, zero migration cost) Retain ......... 6 apps (critical, revisit later) Rehost ......... 16 apps (fastest, no code change - do these first) Relocate ....... 0 apps (no hypervisor platform to move as a unit) Repurchase ..... 3 apps (replaced by SaaS) Replatform ..... 8 apps (managed database / engine changes) Refactor ....... 3 apps (cloud-native rewrite - highest value, highest cost) ------ 40 apps

Sequencing rule for large migrations: rehost, replatform, relocate and retire first; modernize after. Paying a migration factory to move 40 applications in parallel is how programs blow their budget; retiring 4 of them before anyone writes a line of code is how programs fund themselves.

4.3 The two named tools behind the strategies

Concern
Service
Role
Database replication (the exam's named example for task 1.3)
AWS Database Migration Service (AWS DMS)
Continuous replication of the source database to the target while the app keeps running
Schema differences between engines
AWS Schema Conversion Tool (AWS SCT)
Converts schemas, code and stored procedures so the replication can land
Rehost execution
AWS Application Migration Service (MGN)
Agent-based, automated lift-and-shift of servers to EC2
Discovering what you own
AWS Application Discovery Service
Maps dependencies before you choose an R

4.4 Example E5: the Snowball reality check

For petabyte-scale transfer over a constrained link, the classic answer is a physical device: a single Snowball Edge Storage Optimized device moves approximately 210 TB (as of Oct 2026; verify current specs before use), and a job must be completed within 360 days of being prepared.

Two caveats you must hold at the same time:

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FACT A (exam guide PDF) .... task 1.3 names "use of AWS Snowball" FACT B (AWS docs banner) ... "AWS Snowball Edge is no longer available to new customers" AWS points new customers to DataSync, Data Transfer Terminal, partner solutions and Outposts CONCLUSION .................. Snowball is a trap TWICE - it can be the correct "offline / constrained link" answer, and it can be the outdated answer. Read the stem: is it asking for the classic mechanism or the current recommendation?
  • πŸ“š Did you know? Snowball Edge Storage Optimized ships with about 210 TB of usable NVMe (as of Oct 2026) while the Compute Optimized variant trades storage for silicon, roughly 28 TB NVMe against 416 GB of memory. The device is on neither the in-scope nor the out-of-scope service list for CLF-C02 (both lists are explicitly "non-exhaustive"), so whether it is examinable cannot be verified, treat it as knowledge, not as a certainty.

5. The cloud migration journey and its resources (task 1.3)

5.1 The three phases

AWS's migration program runs in three phases, and the exam asks for the order:

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1. ASSESS build the business case, discover the estate, "identify capability gaps across six dimensions" 2. MIGRATE and MODERNIZE execute the waves, then modernize what landed 3. (before it) MOBILIZE close the gaps: funding, governance, skills, tools

Read literally: Assess β†’ Mobilize β†’ Migrate & Modernize. Mobilize sits between the business case and the first wave, because the gaps found in Assess have to be closed before migration starts.

5.2 The resources that support the journey

Resource
What it does for you
Migration Acceleration Program (MAP)
Tools, training and financial investments for the three-phase program. Credits require tagging: no tags, no credits
AWS Migration Hub / Migration Hub Journeys
Plan, perform and track: phases β†’ modules β†’ tasks β†’ subtasks with progress visible in one place
AWS Prescriptive Guidance
Time-tested migration strategies and step-by-step guides (source of the 7 Rs)
Migration Evaluator
Data-driven business case and TCO model before you commit
AWS Professional Services
Hands-on delivery capacity for the migration itself
AWS Partner Network (APN) + Migration Competency Partners
Third-party delivery capacity, assessed against AWS competency criteria
AWS Pricing Calculator
Estimate the target run-rate before you move anything
Ordering Question
How to answer

Ordering exercise with 3 items. Move them into the correct order, then check your answer.

Put the three phases of the AWS Migration Acceleration Program (MAP) in order:

Migrate and Modernize
Assess
Mobilize
⚠️Warning

⚠️ MAP says six dimensions; CAF says six perspectives, and they are different lists. MAP's Assess phase identifies capability gaps across business, process, people, platform, operations, security. CAF's perspectives are Business, People, Governance, Platform, Security, Operations. "Governance" replaces "process". If the question says perspective, use the CAF names; never quote a MAP credit amount either, AWS publishes only "financial investments", with no published percentages.


6. Cloud economics (task 1.4)

6.1 Fixed cost versus variable cost

Fixed cost exists whether or not the service runs: owned hardware, floor space, salaried staff. Variable cost tracks consumption. The single most-quoted sentence in Domain 1 is: "The cloud trades fixed expense for variable expense; you pay only when you consume computing resources."

Example E6: twelve months, illustrative figures (as of Oct 2026; teaching numbers only, not AWS list prices):

Period
On-premises (fixed)
AWS (variable)
Why the cloud row moves
Q1: launch quarter
$6,000
$4,200
Burst traffic scales up, then back down
Q2: normal trading
$6,000
$2,700
Follows measured demand
Q3: quiet quarter
$6,000
$1,350
Test environment switched to $0
Q4: holiday peak
$6,000
$3,900
Elasticity absorbs the spike without a purchase order
Total
$24,000
$12,150
βˆ’$11,850 (βˆ’49.4%)

The on-premises row is a flat line because you paid for it in the capital year: traffic has nothing to do with it. The cloud row can drop to zero for a workload you switch off.

6.2 The cost drivers of an on-premises environment

Task 1.4 asks specifically for "costs associated with on-premises environments". Every row below has to appear in a TCO model or the model is wrong:

Driver
What it really costs
Hardware
Purchase price of servers, storage, networking
Annual maintenance
Support contract, typically a percentage of hardware, every year
Operating system and hypervisor licences
Paid whether the server is busy or idle
Application licences
Same, and often the largest single line
Space, power, cooling
Floor space rent, electricity, cooling overhead
IT labour
Admins to rack, patch, back up, monitor, plan
Refresh cycle
Capital equipment typically has a five-year refresh cycle
Procurement lead time
Equipment is bought six to nine months in advance
Over-provisioning
20% to 50% over the peak-predicted demand
Cost of capital
Money tied up in assets instead of the business
Bandwidth
Connectivity for the estate

6.3 Example E7: the hidden on-premises inputs

Most on-premises models fail by counting hardware only. Here are ten servers over five years, with all figures illustrative (as of Oct 2026, teaching numbers, not AWS list prices):

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Server hardware (10 units) .................. $30,000 5-year hardware maintenance .................. $30,000 Power and cooling: $25 x 10 x 60 months ...... $15,000 Floor space (5 years) ....................... $6,000 IT administration: 0.25 FTE over 5 years ..... $112,500 ------------ Subtotal, 5 years ........................... $193,500 BEFORE: software licences, the year-5 refresh, cost of capital, bandwidth

AWS's own guidance on accurate comparisons is blunt: capital expenditures usually have a refresh cycle of five years, equipment is procured six to nine months in advance, and customers overprovision 20% to 50% over peak-predicted demand. A model that omits labour, refresh and facilities understates on-premises cost; which is why the exam treats "compare server purchase price to an hourly rate" as the classic flawed TCO model.

6.4 Capex to opex

Capex (on-premises)
Opex (cloud)
Shape
Large upfront payment for an asset you own
Metered, pay-as-you-go consumption
Accounting
Capitalized, then depreciated (~5-year cycle)
Expensed in the period it is incurred
Risk
You own it whether or not you use it
You stop paying when you stop consuming
Forecast
Based on a capacity guess
Based on measured usage
Exam sentence
"fixed expense"
"variable expense": "pay only when you consume"

6.5 Example E8: TCO and ROI, worked

TCO is the all-in, multi-year comparison of acquisition and operating costs, hardware, software, facilities, labour and capital, on-premises versus AWS. It is not a price list, and AWS explicitly frames it as only pillar 1 of 5 of the Cloud Value Framework.

All dollar figures in the table below are illustrative teaching numbers created for this lesson (as of Oct 2026). They are NOT AWS list prices and must not be quoted as such.

Cost category (5 years)
On-premises
AWS (illustrative)
Difference
Compute: 10-server equivalent
$60,000 (hardware $30k + maintenance $30k)
54,000 (\900/month metered average)
βˆ’$6,000
Facilities: power, cooling, floor space
21,000(21,000 (15k energy + $6k space)
$0 (absorbed by the provider and priced into the rate)
βˆ’$21,000
IT labour: 0.25 FTE on-prem vs 0.10 FTE
$112,500
$45,000
βˆ’$67,500
Software licensing
$40,000 (owned and refreshed)
$18,000 (license-included, paid while running)
βˆ’$22,000
Total
$233,500
$117,000
βˆ’$116,500 (βˆ’49.9%)

Now the two numbers an interviewer (or an exam stem) actually wants:

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Migration investment (illustrative) ....... $25,000 (assessment, re-platform effort, Professional Services days) 5-year net benefit ....................... $116,500 - $25,000 = $91,500 Simple ROI = net benefit / investment .... $91,500 / $25,000 x 100 = 366% Average annual saving ..................... $116,500 / 5 = $23,300 Simple payback = investment / annual saving $25,000 / $23,300 = 1.07 years ~= 13 months

Sanity check against a published figure: AWS cites IDC (2022) claiming 50% lower 5-year cost of operations on AWS: a customer/AWS-cited, unaudited claim, and our illustrative βˆ’49.9% lands in the same neighbourhood by construction, not by coincidence. Always attribute such figures ("IDC for AWS, 2022"), never present them as guaranteed.

6.6 Licensing: BYOL versus license-included

License-included means Amazon EC2 instances that bundle the licence cost into the compute cost, AWS is responsible for licensing compliance, and you pay only while the instance runs. BYOL means you bring your own licence and media, you own compliance. AWS License Manager is a free tool that tracks both across AWS, on-premises and other clouds.

Example E9: 30% uptime workload, illustrative rates (as of Oct 2026; teaching figures only):

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Assumed: license-included all-in rate = $0.75 / hour BYOL compute rate = $0.40 / hour BYOL licence = $150 / month (paid whether used or not) month = 730 hours At 30% uptime (219 hours): License-included ... 219 x $0.75 = $164.25 / month BYOL ................ $150 + (219 x $0.40) = $237.60 / month Winner: LICENSE-INCLUDED by $73.35 / month At 100% uptime (730 hours): License-included ... 730 x $0.75 = $547.50 / month BYOL ................ $150 + (730 x $0.40) = $442.00 / month Winner: BYOL by $105.50 / month Break-even: $150 / ($0.75 - $0.40) = 428.6 hours ~= 59% uptime

Rule: variable or intermittent uptime β†’ license-included; high, steady uptime plus existing discounted licences β†’ BYOL. Remember that a Windows licence can represent 50% or more of compute cost (AWS, 2022-04-28), so this is not a rounding decision.

6.7 Rightsizing

Rightsizing means matching instance size and type to measured utilization while still meeting performance requirements. It is not "pick the cheapest instance", and the order of operations matters.

Example E10: from 12 vCPU to 4 vCPU, illustrative rate (as of Oct 2026; teaching figure only: $0.06 per vCPU-hour):

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Current instance ....... 12 vCPU / 64 GB Measured utilization ... 25% CPU average, 25% RAM average Required ............... 12 x 0.25 = 3 vCPU ; 64 x 0.25 = 16 GB Right-sized class ...... 4 vCPU / 16 GB (headroom included) Idle capacity paid for . 12 - 3 = 9 vCPU = 75% of what you buy Old cost 12 x $0.06 = $0.72/h x 730 h = $525.60 / month New cost 4 x $0.06 = $0.24/h x 730 h = $175.20 / month Saving ................................ = $350.40 / month = $4,204.80 / year = 66.7% less compute spend

AWS Compute Optimizer "provides you with rightsizing recommendations and identifies idle resources." Only after rightsizing do you choose a commitment model; because committing to a discount on an oversized instance simply buys a discount on waste. AWS documents Savings Plans as "up to 72% lower in some cases" versus on-demand and Spot as "up to a 90% discount from on-demand pricing" (both AWS, 2022-04-28; verify current rates before use).

  • πŸ“š Did you know? Published utilization figures are the economic core of this lesson: on-premises servers average 12% to 18% utilization, more than 30% of servers run under 10% utilization, and an on-premises data center is described as "under 15%" (AWS blogs, 2022-04-28 and 2024-10-01). That is why rightsizing first, commitment second is the canonical FinOps order on the exam.
Fill in the Blanks
How to answer

Fill-in-the-blank exercise with 6 blanks. Type the missing words, then check your answer.

Complete the cloud-economics statements using the vocabulary from task 1.4:

The cloud trades blank expense for blank expense, so you pay only when you consume resources. On-premises spending is recorded as blank, while metered cloud spending is recorded as blank. Matching instance size to measured utilization while still meeting performance is called blank, and it must happen BEFORE choosing a commitment or discount model. Bringing your own licence and media is blank, whereas AWS bundling the licence into the compute cost is license-included.

Word Bank, drag words into the blanks above:

fixed
variable
capex
opex
rightsizing
BYOL
peak
capital expense
elasticity
refactoring
rehosting
TCO
Savings Plans
governance

7. Automation, managed services and the responsibility shift (task 1.4)

7.1 Automation benefits

Infrastructure as code (IaC) means provisioning and supporting computing infrastructure using code instead of manual processes and settings. The exam names AWS CloudFormation, which "enables you to create and provision AWS infrastructure deployments predictably and repeatedly."

Manual provisioning
Automated (CloudFormation / IaC)
Hand-built, unique, hard to reproduce
Templates are repeatable across environments
Changes happen silently
Versioned, reviewable, auditable (change sets)
Rollback is a panic
Rollback-able: delete the stack and the resources go
Scales with headcount
Scales with a pipeline
ℹ️Note

Automation β‰  auto scaling. The automation example in task 1.4 is CloudFormation (repeatable infrastructure). Auto Scaling is the elasticity mechanism (grow and shrink with demand). Both are in scope, they answer different questions, and a distractor will swap them.

7.2 Managed services absorb undifferentiated work

The PDF exam guide adds "Identifying managed AWS services (for example, Amazon RDS, Amazon ECS, Amazon EKS, Amazon DynamoDB)" to task 1.4. Each one moves work off your staff:

Managed service
What AWS takes over
Amazon RDS
Engine patching, automated backups, failover
Amazon ECS / Amazon EKS
Container platform operation
Amazon DynamoDB
Capacity management and operational overhead

Fewer undifferentiated tasks means less staff time and less software to license: a direct line into the labour row of the TCO table in Section 6.5.

7.3 The shared-responsibility shift: EC2 vs RDS vs Lambda

The more managed the service, the smaller the customer's share of the stack. The line moves; it never disappears.

Layer
Amazon EC2 (IaaS)
Amazon RDS (managed)
AWS Lambda (serverless)
Physical hardware and hypervisor
AWS
AWS
AWS
Guest OS patching
Customer
AWS
AWS (no customer OS)
Runtime, capacity, scaling
Customer
AWS
AWS
Security groups / network config
Customer
Customer
n/a
Application or function code
Customer
Customer
Customer
IAM users, roles, MFA
Customer
Customer
Customer
Data, classification, encryption
Customer
Customer
Customer
100%

Constants that never move: physical security and the security of the cloud are always AWS; data, IAM and encryption decisions are always the customer. Shared controls, patch management, configuration management, awareness and training, are owned by each party for its own layer.

  • πŸ“š Did you know? AWS's own phrasing matters: for abstracted services such as Amazon S3 and Amazon DynamoDB, "customers are responsible for managing their data (including encryption options) and using IAM tools to apply the appropriate permissions." And as infrastructure modernizes, "more responsibility is shifted onto the service provider"; which is a shift of the line, not a transfer of your data responsibility. Serverless is not "someone else's problem".

Real-World Case Studies

Every figure below is customer- or AWS-claimed and unaudited, attributed with its source so you can check it. The examinable point is always the pattern, which strategy was chosen, which lever moved, never the marketing number.

Capital One: "all in on AWS" (banking, regulated)

Dimension
Detail
Challenge
Eight data centers plus a rolling hardware refresh; needed scale for ML and real-time personalization
Strategy
Full estate exit: predominantly rehost + replatform + refactor, with serverless adoption
Services
30+ including EC2, S3, RDS, Lambda, ECS/Fargate, Step Functions, Glue, Amazon Connect
Outcomes (claimed)
Exited all 8 data centers (last in 2020); 80% of ~2,000 applications now cloud-built; dev environment provisioning 3 months β†’ minutes; DR cost βˆ’70%; incident resolution and transaction errors βˆ’50%; over a third of applications serverless; one application βˆ’90% cost on Lambda; 103 tonnes of metals recycled
Domain hook
Task 1.1 value proposition (agility) + task 1.4 economics

"We are truly all in on the cloud, and AWS has been instrumental in enabling us to take full advantage of the benefits of being in the cloud.": Chris Nims, SVP cloud and productivity engineering, Capital One (AWS case study)

Shutterfly / SBS: VMware to AWS (e-commerce printing)

Dimension
Detail
Challenge
On-premises VMware vSphere, stand-alone stacks, 2,000+ VMs, colocation evacuation
Strategy
Bridge then native: VMware Cloud on AWS first (completed Aug 2022), then native migration to ECS/EC2: a textbook relocate β†’ replatform sequence
Services
VMware Cloud on AWS, Amazon ECS, EC2, FSx for NetApp ONTAP, CI/CD, S3 (400 TB)
Outcomes (claimed)
2,000 β†’ 1,200 VMs; native migration delivered March 2025, six months early; ~800 systems / 400 TB moved; ~25% opex cut from license avoidance plus right-sizing; 80% of workloads on ECS; "no high-severity incidents"
Domain hook
Task 1.4: rightsizing and licensing are literally named as the savings source

"We've taken big steps to burn down technical debt so we can focus on transformation and move with the kind of agility we had in the early days.": Ian Wright, VP Infrastructure, Shutterfly/SBS (AWS case study)

plaintext
PATTERN ACROSS BOTH CASES Capital One ........ agility first, then cost (provisioning 3 months -> minutes) Shutterfly ......... cost first, then agility (license avoidance + rightsizing -> ~25%) Common ............. the strategy (which R) was chosen BEFORE any number was promised
  • πŸ“š Did you know? A third migration pattern worth recognizing appears in the same research set: Bangkok Flight Services used AWS Application Migration Service (MGN) for a pure rehost, finishing in 7 months with "no rollback, no disruption", cutting IT infrastructure management time by 50% and replacing a missing DR site with a multi-AZ design; while Philip Morris International migrated 400 applications in two years and AWS's own write-up records that its initial aggressive lift-and-shift "yielded suboptimal results". Same R, opposite lesson: rehost is fast, but rehosting everything is a strategy error.

Netflix: global streaming at AWS scale (entertainment)

Dimension
Detail
Challenge
Deliver a worldwide streaming service whose traffic spikes by time of day and by title, without buying hardware for every peak
Strategy
Cloud-native build plus replatform/refactor: mass elasticity first, then consolidation onto a managed database (not a forklift move)
Services
Amazon EC2, Amazon S3, Amazon Aurora, Amazon EKS, Local Zones, multi-Region auto scaling
Outcomes (claimed)
Delivers billions of hours of content monthly; AWS "enables Netflix to quickly deploy thousands of servers and terabytes of storage within minutes"; consolidating its relational database infrastructure on Amazon Aurora delivered up to 75% improved performance and 28% cost savings; operates across four AWS Regions; Aurora cut Policy Engine latency 26.72 ms β†’ 6.51 ms and Front50 67.57 ms β†’ 41.70 ms (AWS Database Blog, 2025-11-27)
Domain hook
Task 1.1 (elasticity, global reach) + task 1.3 (replatform / refactor)

All Netflix figures above are AWS-published and accessed Oct 2026; anything about Netflix's pre-AWS outage history lives on Netflix's own site and is not taught here as AWS fact.

Box: Well-Architected cost optimization (enterprise SaaS)

Dimension
Detail
Challenge
Improve spend efficiency across a large AWS estate serving 120,000+ enterprises without degrading security, reliability or performance
Strategy
The free lever first: an AWS Well-Architected Framework review with AWS Solutions Architects, then architecture-level fixes: no commitment purchase required
Services
Well-Architected Framework reviews, Amazon S3 / S3 Glacier tiering, EBS volume and snapshot hygiene, CloudTrail event filtering, routing traffic around internet gateways
Outcomes (claimed)
$2.23 million unpacked = $438,000 inter-AZ transfer + $1.1 million per year internet egress + over $500,000 per year storage + $192,000 per year logging (AWS case study, accessed Oct 2026)
Domain hook
Task 1.4: architecture, storage classes and data-transfer charges as named cost drivers

"Our use of AWS best practices led to savings of over 2 million dollars, setting a new baseline…": Clay Alvord, director of FinOps and SRE, Box (AWS case study)

FarEye: Savings Plans + Spot + Graviton (SaaS logistics)

Dimension
Detail
Challenge
Thin last-mile delivery margins and a business that needs predictable spend
Strategy
Stack the pricing levers in the canonical order: right-size and move to Graviton first, then add commitment (Compute Savings Plans) and interruptible capacity (Spot)
Services
Compute Savings Plans, Amazon EC2 Spot, Graviton-based instances (500+ Spot and On-Demand instances)
Outcomes (claimed)
$1 million per year in cloud cost savings; AWS compute costs βˆ’65%; Graviton delivered +30% performance (AWS case study, accessed Oct 2026)
Domain hook
Task 1.4: commitment pricing, Spot and price-performance in a single story
plaintext
PATTERN ACROSS THE THREE EXTRA CASES Netflix ................. replatform / refactor, then let elasticity + Regions carry the load Box ..................... ARCHITECTURE lever - Well-Architected review, no purchase required FarEye .................. COMMITMENT lever - rightsizing/Graviton, then Savings Plans + Spot All three ............... every percentage is a customer result published by AWS (accessed Oct 2026), never an AWS guarantee

2026 Updates (as of October 2026)

Six sourced changes that touch migration and cloud economics since the last time you refreshed your notes: every figure date-stamped, and prices/limits drift, so verify current before use:

  • Migration tooling changed scope. Migration Evaluator joined the in-scope service list (Migration and Transfer category) while AWS Snow Family moved to the out-of-scope list; in-scope entries went 128 β†’ 111 and out-of-scope entries 11 β†’ 55 (official CLF-C02 in-scope / out-of-scope pages, diff computed 2026-10). Both lists are explicitly "non-exhaustive and subject to change".

  • A new commitment option arrived: Database Savings Plans, launched 2025-12-02 and advertised at up to 35% for a 1-year, no-upfront commitment (serverless up to 35%, provisioned up to 20%). Compute and EC2 Instance Savings Plans are unchanged, and the exam guide still names only "AWS Savings Plans" (AWS News Blog and What's New, 2025-12-02).

  • The support lineup was rewritten on 2025-12-02: Business Support+ from 29 USD/month, AWS Enterprise at 5,000 USD/month and AWS Unified Operations at 50,000 USD/month, with Basic free; Developer, classic Business and Enterprise On-Ramp took no new subscriptions after 2025-12-02 (existing ones run through 2027-01-01), and Domain 4 Task 4.3 of the current exam guide now reads "Basic Support, AWS Business Support+, AWS Enterprise Support, AWS Unified Operations" (AWS News Blog, 2025-12-02; exam-guide PDF, Β© 2026; prices as of Oct 2026).

  • Free Tier became account-age dependent (change effective 2025-07-15): accounts created on or after that date get 6 months (or until credits run out) plus USD 100 sign-up credit and up to USD 100 more, up to USD 200, on t3.micro, t3.small, t4g.micro, t4g.small, c7i-flex.large, m7i-flex.large; accounts created earlier keep the legacy 12-month tier with t2.micro / t3.micro (AWS News Blog, 2025-07-15; Amazon EC2 User Guide table "before and after July 15, 2025").

  • Cost tooling keeps moving even though the examinable names do not: Cost Optimization Hub (2023-11-26), RI/SP Group Sharing generally available (2025-11-19), Target Coverage in Savings Plans Purchase Analyzer (2026-06-09) and the Well-Architected Agent preview (2026-10-01, which AWS calls "the next-gen evolution of AWS Trusted Advisor and the AWS Well-Architected Tool"). The exam still tests Cost Explorer, AWS Budgets, AWS Pricing Calculator, Trusted Advisor and the AWS Well-Architected Tool.

  • Pricing and egress keep shifting under the TCO model: Amazon S3 Express One Zone cut storage about 31% and GET request prices up to 85% (effective 2025-04-10) and EC2 NVIDIA GPU instances up to 45% (2025-06-05); on the way out you still get 100 GB per month of free data transfer out from AWS Regions (a 2021 change, not a 2025 one) plus an approval-based 90-day window to finish moving data off AWS when you leave (AWS FAQs and blogs; as of Oct 2026).

  • πŸ“š Did you know? Amazon S3's own price history is the cleanest published illustration of economies of scale: it launched on 14 March 2006 at $0.15 per GB per month serving "approximately one petabyte of total storage capacity across about 400 storage nodes", and AWS reported in March 2026 that it now charges "slightly over 2 cents per gigabyte": a reduction of approximately 85% since launch; while code written for S3 in 2006 "still works today, unchanged" (AWS News Blog, 2026-03-13; as of Oct 2026: verify current pricing before you quote it).

  • πŸ“š Did you know? Some AWS cost stories are older than most candidates' study material: NASA reported saving "almost a million dollars in cost savings each year" on 2012-06-11, and NASA JPL now processes about 4.4 TB of downlinked data daily (generating up to 70 TB of final data products) using EC2 Auto Scaling with Spot Instances at up to a 90 percent discount compared to Amazon EC2 On-Demand pricing (AWS case study, accessed Oct 2026). Dates matter: never present a 2012 figure as a current one.

Matching Question
How to answer

Matching exercise with 6 pairs. Match each item on the left with its answer on the right.

Match each AWS-published customer story to the migration strategy or economics lever it best demonstrates:

Capital One
Drop here
Shutterfly / SBS
Drop here
Netflix
Drop here
Box
Drop here
FarEye
Drop here
Bangkok Flight Services
Drop here

Drag answers from here:

Full estate exit, agility first: development environments went from 3 months to minutes and about 80% of roughly 2,000 applications are cloud-built
Bridge then native: VMware Cloud on AWS first, then ECS; about 25% opex cut from license avoidance plus rightsizing
Replatform and refactor: consolidating relational databases on Amazon Aurora brought up to 75% better performance and 28% cost savings
Architecture lever: a Well-Architected review produced 2.23 million dollars across inter-AZ transfer, egress, storage and logging
Commitment and Spot levers: Compute Savings Plans plus Spot plus Graviton cut compute 65% for about 1 million dollars a year
Rehost with AWS Application Migration Service (MGN) - 7 months, no rollback, IT infrastructure management time down 50%
⚠️Warning

⚠️ How to read case-study numbers on exam day: (1) they are customer-claimed and unaudited; (2) "up to" is a ceiling, never an average; (3) attribute the source and year: "IDC for AWS, 2022", not "AWS proves"; (4) a case never licenses an out-of-scope answer; (5) a strategy that worked for a regulated bank (full estate exit) is not automatically right for a portfolio where Retain or Retire is correct.


Practice Questions

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

An executive asks why the AWS Cloud can offer lower pay-as-you-go prices than a single company building its own data center. Which statement BEST matches the AWS wording?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

A team provisions 150 vCPU against a 100 vCPU peak forecast and averages 15% utilization. Which pair of figures does this illustrate?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

Which statement about the AWS Well-Architected Framework is correct?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

Keeping three hot spare instances idle so a failure never reaches users will be judged how by the Well-Architected pillars?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

Which list correctly names the six perspectives of the AWS Cloud Adoption Framework (CAF)?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

A regulated workload cannot change yet but must be reviewed again in eighteen months. Which migration strategy fits, and which list does it come from?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

A question asks: which is NOT one of the 6 Rs for migrating applications to the cloud?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

The exam guide lists 'database replication' as an example of a migration strategy. Which service pair implements it?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

Using the illustrative TCO table in this lesson (on-premises $233,500 vs AWS $117,000 over five years, migration investment $25,000: teaching figures, as of Oct 2026, not AWS list prices), what are the five-year ROI and the simple payback period?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

A Windows workload runs only 30% of the month. Which licensing strategy and ordering rule does AWS guidance support?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

AWS's Box case study is titled 'Unpacks over $2.23 Million in Savings'. Which breakdown of that total matches the AWS publication (figures as published, accessed Oct 2026)?

Practice Question
How to answer

Multiple-choice question with 4 options. Select one option, then choose Check Answer.

A colleague refreshed their notes in 2024. Which statement is TRUE as of October 2026?

πŸ“ŒImportant

Comparative Verdict: how this topic compares on exam day

  • Γ— Versus on-premises: on-premises is fixed, capex, owned and guessed, five-year refresh, 6 to 9 month procurement, 20 to 50% over-provisioning, 12 to 18% utilization, labour and facilities that never appear in a hardware-only model. The cloud is variable, opex, metered and measured, you pay only when you consume and you can drop a workload to $0. The exam's default answer to "compare the two" is TCO (all-in, multi-year), never a hardware price versus an hourly rate.
  • Γ— Versus other clouds: CLF-C02 does not ask you to rank AWS against Azure or Google Cloud; it asks whether your model is complete. The differentiator you are tested on is the AWS-specific scaffolding, six advantages, six Well-Architected pillars, six CAF perspectives, 7 Rs, MAP, Cloud Value Framework, so if an option argues by naming another provider's discount, it is a distractor.
  • Γ— Versus DIY / build-it-yourself: every R is a choice about who owns the undifferentiated work. DIY (self-managed, on-prem or hand-built tooling) maximizes control and operational burden, the customer patches the guest OS, licenses the platform and staffs the pager. Managed and serverless move that line: RDS takes engine patching and failover, ECS/EKS take the platform, Lambda takes runtime and scaling, but code, IAM and data stay yours at every level. Choose managed unless a stated requirement forces control, and never assume "serverless" transfers your data responsibility.
⚠️Warning

Exam-day traps for this lesson:

  • 6 Rs vs 7 Rs: the 6 Rs are Rehost, Replatform, Repurchase, Refactor, Retire, Retain; Relocate is the 7 Rs-only strategy and the classic "which is NOT one of the 6 Rs?" bait;
  • Snowball is a trap twice: the PDF exam guide names it, yet Snowball Edge is no longer available to new customers and appears on neither the in-scope nor the out-of-scope list;
  • Never mix the three lists: Well-Architected 6 pillars (workload quality) β‰  AWS CAF 6 perspectives (organizational readiness) β‰  Cloud Value Framework 5 pillars (business value, TCO = pillar 1 of 5);
  • MAP's six dimensions β‰  CAF's six perspectives: MAP says process, CAF says Governance;
  • Elasticity β‰  scalability β‰  high availability: elasticity grows and shrinks, scalability handles growth, HA survives component failure across AZs;
  • The responsibility line moves, responsibility does not transfer, customer patches the guest OS on EC2, AWS patches the OS and engine on RDS, Lambda has no customer-managed OS, but data, IAM and encryption decisions are always the customer;
  • Rightsizing before discounts: commit to Savings Plans only after the instance is the right size, or you are discounting waste;
  • Automation β‰  auto scaling: the task 1.4 automation example is CloudFormation (IaC), not Auto Scaling;
  • TCO β‰  price β‰  savings percentage: TCO is all-in and multi-year; a "50% saving" is an attributed, dated claim (IDC for AWS, 2022), never a guarantee;
  • Capex/opex direction: on-premises = capex/fixed, cloud = opex/variable; a distractor will reverse them.
βœ…Success

Key Takeaways:

  1. Domain 1 is 24% of CLF-C02 and is graded in business language: value proposition, design principles, migration, economics: tasks 1.1 β†’ 1.4;
  2. The six advantages in AWS's own wording are: trade fixed for variable expense, massive economies of scale (aggregated usage from hundreds of thousands of customers β†’ lower pay-as-you-go prices), stop guessing capacity, increase speed and agility (weeks to just minutes), stop running data centers (racking, stacking and powering servers), and go global in minutes;
  3. Economies of scale are structural: two customers with anti-correlated 10-unit peaks need 12 units combined, not 20: 40% less hardware for identical demand;
  4. The six Well-Architected pillars are Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, Sustainability; they trade off (spare capacity helps Reliability, hurts Cost Optimization), the review is "a constructive conversation, not an audit mechanism", and the Well-Architected Tool is free;
  5. The six AWS CAF perspectives are Business, People, Governance, Platform, Security, Operations, delivering reduced business risk, improved ESG performance, increased revenue and increased operational efficiency: CAF measures organizational readiness, Well-Architected measures workload quality;
  6. The migration strategies are the 6 Rs (Rehost, Replatform, Repurchase, Refactor, Retire, Retain) and the current 7 Rs (adds Relocate); sequence rehost/replatform/relocate/retire first, modernize after, and remember AWS's own guidance that 10% to 20% of a portfolio can simply be retired;
  7. Database replication = AWS DMS + AWS SCT; rehost = AWS Application Migration Service (MGN); Snowball Edge β‰ˆ 210 TB per device (as of Oct 2026) but is closed to new customers; the journey runs Assess β†’ Mobilize β†’ Migrate & Modernize, tracked in Migration Hub Journeys and funded by MAP credits that require tagging;
  8. Cloud economics: fixed vs variable, capex β†’ opex, and the full on-premises driver list (hardware, maintenance, licences, space/power/cooling, labour, 5-year refresh, 6 to 9 month procurement, 20 to 50% over-provisioning, cost of capital, bandwidth): omit labour, refresh or facilities and the TCO model is wrong;
  9. Worked arithmetic you must reproduce (all illustrative teaching figures, as of Oct 2026, never AWS list prices): hidden on-prem inputs β‰ˆ $193,500 over 5 years before licences and refresh; illustrative TCO $233,500 vs $117,000 (βˆ’49.9%); ROI 366%; payback β‰ˆ 13 months; rightsizing 12 vCPU β†’ 4 vCPU at 25% utilization saves 66.7%; BYOL break-even β‰ˆ 59% uptime (license-included below it, BYOL above it);
  10. License-included (AWS owns compliance, pay while running) versus BYOL (you bring licence and media, you own compliance, License Manager is free); order of operations is rightsizing first, then commitment/discount (Savings Plans "up to 72%", Spot "up to 90%", both AWS 2022-04-28); automation is CloudFormation/IaC; and on the responsibility ladder EC2 β†’ RDS β†’ Lambda the line moves down while code, IAM and data stay with the customer.
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