bug-bounty528
xss284
rce158
google121
bragging-post120
exploit100
account-takeover99
open-source91
microsoft87
csrf78
facebook78
privilege-escalation76
authentication-bypass75
cve72
stored-xss72
malware68
access-control65
ai-agents63
reflected-xss61
writeup56
ssrf53
input-validation53
web-security53
sql-injection49
cross-site-scripting48
smart-contract46
tool46
defi45
ethereum45
privacy44
web-application43
apple43
phishing42
cloudflare41
browser40
information-disclosure39
dos38
web337
llm37
responsible-disclosure37
lfi36
burp-suite35
opinion35
api-security35
oauth34
automation34
vulnerability-disclosure34
reverse-engineering34
idor32
machine-learning32
0
4/10
A software engineer reflects on interview failures and argues that 'design a resilient database' is an unanswerable question without context, using experience from fintech to illustrate why database selection depends entirely on specific requirements: consistency models, query patterns, availability SLAs, and failure modes. The article maps major database systems (PostgreSQL, Cassandra, Redis, etc.) to appropriate use cases, emphasizing that eventual consistency violates financial compliance while relational ACID databases are non-negotiable for regulated systems.
database-design
system-architecture
postgresql
cassandra
acid-compliance
consistency-models
cap-theorem
fintech
resilience
tradeoffs
PostgreSQL
Cassandra
ScyllaDB
Redis
Elasticsearch
DynamoDB
ClickHouse
TimescaleDB
CloudNativePG
Kubernetes
U.S. Bank
Apple Pay
PCI DSS