google229
microsoft182
facebook159
bug-bounty125
exploit123
apple121
rce88
xss79
writeup59
cve57
browser52
react44
open-source44
docker43
malware43
account-takeover42
aws39
ai-agents36
supply-chain35
node30
dos30
ctf28
oauth27
privilege-escalation26
postmessage23
cloud23
sqli22
cloudflare22
cache-poisoning21
wordpress20
ssrf20
lfi20
automation19
pentest19
tool19
reverse-engineering18
machine-learning18
info-disclosure17
phishing17
llm17
kubernetes16
rust15
code-generation15
cors15
race-condition15
idor15
csrf14
opinion14
infrastructure14
privacy14
0
7/10
A technical walkthrough of building a silent data loss detection system using BigQuery's native Storage Write API metadata and built-in ML anomaly detection (AI.DETECT_ANOMALIES), implemented as a dbt incremental model that monitors hundreds of tables without external infrastructure or custom ML training.
data-quality
anomaly-detection
bigquery
storage-write-api
ml-detection
timeseries-analysis
dbt
monitoring
pipeline-validation
data-loss-detection
BigQuery
Storage Write API
WRITE_API_TIMELINE_BY_PROJECT
AI.DETECT_ANOMALIES
TimesFM
Nordnet
Pub/Sub
dbt
0
2/10
LogClaw is an open-source log intelligence platform that uses signal-based anomaly detection with statistical composite scoring to identify operational failures in Kubernetes, then auto-generates deduplicated incident tickets via LLM-powered root cause analysis. It achieves 99.8% detection accuracy for critical failures while filtering noise, with end-to-end detection and ticketing in ~90 seconds.
open-source
log-analysis
anomaly-detection
kubernetes
observability
sre
incident-response
otel
opentelemetry
ai-alerting
llm-integration
LogClaw
OpenTelemetry
Kafka
OpenSearch
Kubernetes
Jira
ServiceNow
PagerDuty
OpsGenie
Slack
Zammad
OpenAI
Claude
Ollama