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T · 23 entries

Technology

Evidence-based analysis of hidden consequences in technology.

T001
85%

Kubernetes Complexity Cascade

Kubernetes will give us better scaling, deployment flexibility, and industry-standard infrastructure.

+100-150%infra team size+200%onboarding time
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T002
90%

Microservices Communication Tax

Microservices give teams independence and allow faster, safer deployments.

+300-900%p99 latency+900-4900%deployment units
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T003
75%

TypeScript Migration Momentum

TypeScript catches bugs at compile time and improves code quality.

+700%migration timeline+20%senior engineer time on types
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T004
80%

Dependency Tree Decay

Using libraries saves time and is more reliable than building from scratch.

+742%software supply chain attacks (annual)+500-1400%transitive dependencies (avg node.js project)
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T005
85%

Cloud Lock-in Gradient

Using managed cloud services saves engineering time without creating meaningful lock-in.

+1000%proprietary service adoptionProhibitiveestimated migration cost
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T006
75%

Monorepo Gravity Well

Monorepos simplify dependency management and improve code sharing.

+500%ci build time+1000%git clone time
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T007
80%

GraphQL Complexity Cliff

GraphQL gives clients exactly what they need and eliminates API versioning problems.

Unpredictablequery performance predictability+200-300%server-side complexity
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T008
80%

Serverless Cold Start Tax

Serverless eliminates infrastructure management and reduces costs for all workload types.

+500-3000%p99 latency (cold start)+200%debugging time (mttr)
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T009
85%

NoSQL Consistency Trap

NoSQL databases scale better than relational databases and simplify development.

+500%data quality incidents+200% codequery complexity in application code
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T010
85%

Rewrite Fallacy

Rewriting a legacy system from scratch is faster and cheaper than incrementally improving it.

+200-300%project timeline vs estimate-80%feature development during rewrite
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T011
80%

Test Coverage Theater

Higher test coverage means fewer bugs and more reliable software.

Looks greattest coverage percentage30-50% are theatertests that actually catch bugs (mutation score)
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T013
78%

Feature Flag Debt

Feature flags enable safe, controlled rollouts without long-term costs.

Accumulatingstale feature flags in codebaseUntestableuntested code path combinations
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T014
80%

Event-Driven Debugging Nightmare

Event-driven architecture decouples services and improves scalability.

+400%mean time to debug production issues+300%observability tooling cost
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T015
85%

Low-Code Platform Lock-in

Low-code platforms accelerate development and reduce engineering dependency.

5-10x fasterinitial development speed (simple apps)Blockedcustomization beyond platform limits
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T016
85%

Blockchain Solution Searching

Blockchain provides trustless, tamper-proof transactions for any industry.

-99.9%transaction throughput80%+ failure rateenterprise blockchain pilots reaching production
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T018
85%

Multi-Cloud Complexity Multiplier

Multi-cloud prevents vendor lock-in and improves resilience.

+140-200%infrastructure team size-30ppcloud spend efficiency
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T020
79%

Observability Data Explosion

More observability data means better debugging and faster incident resolution.

+500-1000%monthly observability cost+200%observability cost as % of infra spend
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T022
78%

Infrastructure as Code Drift

Infrastructure as Code ensures reproducible, auditable infrastructure that matches the declared state.

Majorityorganizations experiencing iac driftRegular occurrencemanual console changes per month
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T023
80%

SPA Performance Paradox

Single Page Applications provide better user experience than server-rendered pages.

+200%first contentful paint+500-4000%javascript bundle size
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T024
85%

Caching Invalidation Cascade

Adding caching layers improves application performance.

-90%response time (with cache)3-5x longertime to diagnose cache-related bugs
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T027
85%

Data Lake Swamp

Centralizing all data in a data lake enables organization-wide analytics and insights.

60-70% unuseddata lake data actually used for analyticsInverteddata scientist time on data prep vs. analysis
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T028
85%

Premature Optimization Trap

Optimizing early prevents performance problems later.

+150%code complexity-40%feature iteration speed
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T031
82%

Technical Interview Hazing

Algorithmic coding interviews identify the best software engineers.

Minimal predictive valueinterview-to-performance correlation+500%candidate prep time
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