bug-bounty531
xss284
rce163
bragging-post120
google112
exploit103
account-takeover100
open-source91
microsoft82
privilege-escalation79
csrf78
cve76
authentication-bypass75
stored-xss72
facebook72
malware69
access-control65
ai-agents63
reflected-xss61
writeup57
web-security53
ssrf53
input-validation53
sql-injection49
cross-site-scripting48
phishing47
tool46
smart-contract46
defi45
ethereum45
privacy44
web-application43
cloudflare41
apple40
information-disclosure39
web338
dos38
responsible-disclosure37
llm37
lfi36
browser36
api-security35
burp-suite35
opinion35
automation34
oauth34
reverse-engineering34
vulnerability-disclosure34
machine-learning32
code-generation31
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