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DevOps vs Traditional Approaches


Table of contents

  1. The traditional approach
  2. The limits of the classic model
  3. Detailed comparison
  4. Waterfall vs Agile vs DevOps model
  5. Migrating to DevOps


1 - The traditional approach

The siloed model

Characteristics

AspectDescription
OrganizationTeams separated by function
CommunicationFormal, via tickets
ResponsibilityEach in their own scope
DeploymentsManual, scheduled
CyclesLong (months, quarters)

The typical release process

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2 - The limits of the classic model

The wall of confusion

Common problems

ProblemConsequence
Organizational silosDifficult communication
Multiple handoffsLoss of information, delays
Long cyclesLate feedback, high bug cost
Risky deploymentsFrequent incidents
Outdated documentationOpaque systems
Blame cultureFear of failure, no innovation

The cost of bugs by detection time

danger

A bug detected in production costs 100 times more to fix than a bug detected in the design phase.

The "It works on my machine" syndrome

Causes:

  • Different environments
  • Undocumented dependencies
  • Local configuration
  • Different versions

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3 - Detailed comparison

Comparison table

AspectTraditionalDevOps
OrganizationFunctional silosCross-functional teams
CommunicationTickets, formal meetingsChat, continuous collaboration
Responsibility"Not my job""We build it, we run it"
DeploymentsManual, rareAutomated, frequent
CyclesMonths/quartersDays/hours
TestsSeparate phaseIntegrated, automated
InfrastructureManual, documentedCode (IaC)
FeedbackLateContinuous
IncidentsBlameBlameless post-mortems
InnovationHeld backEncouraged

Compared metrics

MetricTraditionalDevOps
Deployment frequency1/month - 1/quarterSeveral times/day
Lead time1-6 months< 1 day
MTTRHours - DaysMinutes
Failure rate30-50%< 15%

Environment management

Traditional:

DevOps:

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4 - Waterfall vs Agile vs DevOps

Evolution of methodologies

Waterfall

CharacteristicDescription
PhasesSequential, non-overlapping
ChangesCostly and difficult
FeedbackAt the end of the project
DocumentationExtensive
Suited toProjects with fixed requirements

Agile

CharacteristicDescription
CyclesShort (2-4 weeks)
ChangesWelcome
FeedbackRegular (end of sprint)
CollaborationDev team + Product Owner
FocusDevelopment

DevOps

CharacteristicDescription
CyclesContinuous
ChangesConstant flow
FeedbackReal-time
CollaborationDev + Ops + Everyone
FocusDevelopment + Operations

Relationship between the approaches

note

DevOps is not opposed to Agile. DevOps extends Agile principles to operations.

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5 - Migrating to DevOps

The transition stages

PhaseActionsDuration
AssessmentAudit, training, identified quick wins1-2 months
PilotOne project, one team, learning3-6 months
ExpansionOther teams, standardization6-12 months
OptimizationMetrics, continuous improvementContinuous

What changes

DomainBeforeAfter
TeamsBy functionBy product
ToolsManualAutomated
ProcessesSequentialParallel
CultureSilosCollaboration
FeedbackLateContinuous

Common obstacles

ObstacleSolution
Resistance to changeCommunication, training, quick wins
Lack of skillsTraining, recruitment, consultants
Legacy toolsProgressive migration
Rigid processesStart small, demonstrate value
Unconvinced managementBusiness case, ROI, examples
warning

DevOps transformation takes time. Expect 2-3 years for a complete transformation of a large organization.

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Key takeaways

  • The traditional approach creates silos and conflicts
  • The wall of confusion between Dev and Ops is costly
  • DevOps drastically improves the key metrics
  • DevOps extends Agile to operations, it does not replace it
  • The migration must be progressive and supported by management
  • Cultural change is harder than technical change

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