Catalog
#devops
7 entries tagged “devops”
A019
83%
Automation Complacency Effect
“Automated monitoring catches everything — we can rely on alerts to tell us when something is wrong.”
+5000%alerts per day (typical production system)-90%alert investigation rate
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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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T012
75%
CI/CD Pipeline Sprawl
“Automating everything in the pipeline improves quality and speed.”
+800%pipeline execution time+800%developer wait time per day
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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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T034
80%
Containerization Sprawl
“Containers simplify deployment and ensure consistency across environments.”
Sprawlcontainer images in productionPersistent riskimages with known cves
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