The RED Method: How To Instrument Your Services

The RED Method defines three key metrics you should measure for every microservice in your architecture. Inspired by the USE Method from Brendan Gregg, it gives developers a template for instrumenting their services and building dashboards in a consistent, repeatable fashion.

In this talk, we will discuss patterns of application instrumentation, where and when they are applicable, and how they can be implemented with Prometheus. We'll cover Google's Four Golden Signals, the RED Method, the USE Method, and Dye Testing. We'll also discuss why consistency is an important approach for reducing cognitive load. Finally we'll talk about the limitations of these approaches and what can be done to overcome them.

 

Agenda

ab 8.30 Uhr Registrierung und Begrüßungskaffee

9.30 Uhr Beginn

Intro

Machine Learning

  • Was ist Machine Learning?
  • Der typische ML Workflow
  • Was sind neuronale Netze?
  • Jupyter Lab mit Python
  • Eine Einführung in TensorFlow
  • Keras als High-Level API für TensorFlow

Praxisteil: Deep Learning Modelle mit Keras

  • Datengeneratoren
  • Datasets explorativ analysieren
  • Hold-Out vs. Cross Validation

11.00 - 11.15 Uhr: Kaffeepause

Praxisteil: Deep Learning Modelle mit Keras

  • Feed-Forward Netzarchitektur
  • Convolutional Neural Networks als Deep Learning Ansatz
  • Evaluation und Visualisierung des Modells

12.30 - 13.30 Uhr: Mittagspause

Pipelines mit Luigi

  • Anforderungen an produktive Modelle
  • Übersicht über Luigi und dessen Module
  • Bau eines Beispiel-Workflows

Praxisteil: Den Keras-Workflow mit Luigi implementieren

  • Anforderungen an produktive Modelle
  • Übersicht über Luigi und dessen Module
  • Bau eines Beispiel-Workflows

15.30 - 15.45 Uhr: Kaffeepause

Praxisteil: TensorFlow-Serving

  • Übersicht über TensorFlow-Serving
  • Ladestrategien konfigurieren
  • Deployment des Modells

ca. 17.00 Uhr: Ende

 

Referent

 

Tom Wilkie Tom Wilkie is VP Product at Grafana Labs, but really he is a software engineer. Previous Tom founded Kausal, a company working on Prometheus, and worked at companies such as Weaveworks, Google, Acunu and XenSource. In his spare time, Tom likes to make craft beer and build 3D printers.

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