Dan Woods discusses the unique challenges of building and running tech for a presidential cycle. Woods also describes how ML was applied at foundational points to reduce operating costs and what were some of the architectural choices made. By Dan Woods Dan Woods discusses the unique challenges of building and running tech for a presidential cycle. Woods also describes how ML was applied at foundational points to reduce operating costs and what were some of the architectural choices made. By Dan WoodsRead More
AWS Announces the General Availability of Amazon Managed Service for Prometheus
Recently AWS announced the general availability (GA) of Amazon Managed Service for Prometheus (AMP), a Prometheus-compatible monitoring service for container infrastructure and application metrics for containers. By Steef-Jan Wiggers Recently AWS announced the general availability (GA) of Amazon Managed Service for Prometheus (AMP), a Prometheus-compatible monitoring service for container infrastructure and application metrics for containers. By Steef-Jan WiggersRead More
AWS Announces the General Availability of Amazon Managed Service for Prometheus
Recently AWS announced the general availability (GA) of Amazon Managed Service for Prometheus (AMP), a Prometheus-compatible monitoring service for container infrastructure and application metrics for containers. By Steef-Jan Wiggers Recently AWS announced the general availability (GA) of Amazon Managed Service for Prometheus (AMP), a Prometheus-compatible monitoring service for container infrastructure and application metrics for containers. By Steef-Jan WiggersRead More
Lowering Recovery Time through AI-Enabled Troubleshooting
Machine learning algorithms for anomaly detection can assist DevOps in daily working routines, where generalized ML models are trained and applied to detect hidden patterns and identify suspicious behaviour. Applied machine learning for IT-operations (AIOPs) is starting to move from research environments to production environments in companies. By Ben Linders Machine learning algorithms for anomaly detection can assist DevOps in daily working routines, where generalized ML models are trained and applied to detect hidden patterns and identify suspicious behaviour. Applied machine learning for IT-operations (AIOPs) is starting to move from research environments to production environments in companies. By Ben LindersRead More
