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Webinar 3: ML for resource prediction in Time series data May 15 

Resource Prediction in Time Series Data: Anticipating Demand, Forecasting Utilization 
Time Series Analysis: Temporal Patterns, Trend Identification, Seasonal Variation 
Predictive Modeling: Future Projections, Forecasting Accuracy, Predictive Performance 

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Learning outcomes:

You will learn how to effectively apply SRE hard and soft skills in your work and architecture.

  1. Understand what SRE is, why it is important and learn how it can be applied in practise with the Digital Highway for Software Delivery.
  2. Learn how to understand the inner working of your application in production through applying SLO engineering principles and Observability.
  3. Learn how to continuously deliver software into production and how to embrace the shift right paradigm through Continuous Verification and Rollbacks 3.

Your profile and prerequisites:

  • Software engineers 
  • DevOps engineers
  • System engineers
  • ML Architects

With knowledge of

  • Software Engineering skills (OOP, Scripting, ad ac code,…)
  • System Engineering skills (OS, Network, Deployment, Security, Monitoring,…)
  • Advantageous: Performance Analysis, Release Engineering, APM/Infra Monitoring Distributed/ Reliable Architect Design