Practical fault detection: redux. Next-generation alerting now as presentationRemoved

Dieter Plaetinck discusses his approach to practical fault detection and alerting, emphasizing the importance of a collaborative relationship between operators and monitoring tools like bosun, which he believes surpasses big-data algorithmic methods by supporting a symbiotic process for managing alerts. He highlights bosun's advanced alignment between alert configurations, infrastructure, and team dynamics, despite its challenging learning curve and ongoing development needs, such as improved UI support for non-opentsdb databases. Plaetinck contrasts bosun with Grafana's v4 release, which prioritizes simplicity and a unified dashboard/alerting workflow, and aims to merge strengths from both projects. He acknowledges a misconception in his critique of machine learning by clarifying that bosun's model-building can also be considered a form of machine learning, highlighting the importance of tools that enhance human-machine collaboration for effective alerting.

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