Scherlok – zero-config data quality monitoring, works with dbt

Scherlok은 dbt와 연동 가능한 제로-설정 데이터 품질 모니터링 도구로, 사전 규칙 작성 없이 데이터의 정상 패턴을 학습해 이상을 자동 탐지한다. PostgreSQL, BigQuery, Snowflake를 지원하며, CI/CD 파이프라인에 쉽게 통합되어 크리티컬 이상 발생 시 배포를 차단할 수 있다. Slack, Discord, Teams 등 다양한 알림 채널과 연동 가능하며, HTML 대시보드를 통해 이상 이력과 스키마 변화를 시각화한다. 기존 데이터 품질 도구 대비 설정과 유지보수 부담이 크게 줄어들어 데이터 엔지니어링 생산성을 높인다.

https://github.com/rbmuller/scherlok

#dataquality #dbt #anomalydetection #cicd #monitoring

Anomaly detection in fintech fraud systems identifies transactions that deviate significantly from an established behavioral baseline for a specific user or account.

#Fintech #AnomalyDetection

Stop using "High/Medium/Low" labels for boardroom risk. It’s an insult to the math.

​The HFY Coefficient is a deterministic 0-100 scalar. We feed Shiki’s Latent Vectors into an Isolation Forest (iForest) engine and run 100,000-iteration "Kill-Shot" simulations.

​HFY = np.clip((0.5 - iForest.decision_function) * 100, 0, 100)

​It measures the exact mathematical distance between a vendor's reality and structural collapse. 📉

​#DataScience #AnomalyDetection #RiskEngineering #Math

The future of AI-driven monitoring in anomaly detection.
We are using the Model Context Protocol (#MCP) to enhance AI capabilities within VictoriaMetrics Anomaly Detection. Our MCP Server integration is designed to help your team stay informed about critical events and product updates while simplifying the management of alerting rules.
Learn more about the MCP Server for VictoriaMetrics Anomaly Detection👇
https://bit.ly/4sMp6TM

#AnomalyDetection #VictoriaMetrics

Feature Spotlight: Anomaly Detection in OpenSearch automatically spot unusual patterns in your logs and metrics with ML-powered insights. Stay one step ahead of potential issues and optimize your systems proactively. https://opensearch.org/platform/anomaly-detection/

#OpenSearch #AnomalyDetection #MachineLearning

You already know that you can visualize your metrics from #Prometheus in #OpenSearch Dashboard's Discover Metrics experience (if not, check the comments).

But what if we could add some #AI sauce to detect anomalies and extrapolate forecasts?

Check out the new RFC for time series #anomalyDetection and #forecasting in @OpenSearchProject and chime in with your feedback.
https://github.com/opensearch-project/OpenSearch-Dashboards/issues/11439

#OpenSearchAmbassador #timeseries #metrics #monitoring #cloudnative
@Prometheus

Test VictoriaMetrics Anomaly Detection models before deployment.
Check out our public playground for VictoriaMetrics Anomaly Detection, designed to help you get insights from timeseries-like data for unexpected changes in behavior.
Try it out:
🟣 #Metrics playground - https://hubs.li/Q04281D20

📋 #Logs playground - https://hubs.li/Q0427_Hq0

🧵 #Traces playground - https://hubs.li/Q04281tt0

#SRE #AnomalyDetection #VictoriaMetrics

Many industries hope to benefit from #AI, but they know little about where it works & where it’s unreliable. #3DPrinting is a good field to test AI, with complex factors, interacting settings, & unpredictable conditions, says our author Andy Oram.

Read more in this article: https://lpi.org/711y

#3DPrinting #ArtificialIntelligence #MachineLearning #CNN #Biomimetic #AnomalyDetection #AdditiveManufacturing