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Educational Webinars

Webinar 6:What is Single Cell Multi-Omics ?

What is Single Cell Multi-Omics and what can it bring to the life science industry? ...

Webinar 5: Continuous Verification: elevating SRE practices to ensure seamless operations June 26th

Automated Verification: Real-time Checks, Automated Testing, Self-validating Systems  Incident Prevention: Proactive Measures, Early Detection, Pre-emptive...

Webinar 4: Strategic SRE: Modeling reliability with SLI & SLO :June 12th

Implementing effective SRE practices Measuring reliability with SLIs Setting realistic SLOs for better service Strategic...

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...

Webinar 2: Decoding DevOps logs: an ML approach for efficient analysis April 24th 

Log Parsing Techniques: Parsing, Structuring, Log Aggregation Anomaly Detection: Identifying Abnormalities, Early Warning Systems, Predictive Maintenance

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Webinar 1: Advanced DevOps: predictive analytics for service reliability March 22 

Predictive Analytics: Forecasting, Prognosticating, Data-driven Insights Automation: Automated processes, Efficiency gains, Workload reduction 

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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