Afstudeerstage team AME: Maak Kubernetes monitoring slimmer met AI

Job summary

This graduation internship explores how AI can speed up diagnosing problems in Kubernetes clusters by combining alerts, monitoring data, and other cluster information. The intern will compare techniques for identifying patterns and likely causes, evaluate the reliability and usefulness of generated diagnoses, and test ideas or develop a proof of concept that can suggest possible remedies.

Qualifications

• Currently pursuing an HBO-level degree in Software Development, HBO-ICT, Artificial Intelligence, or a comparable technical field
• Affinitity with AI, cloud technology, and data analysis

Responsibilities

• Investigate how AI can improve the speed and efficiency of diagnosing Kubernetes cluster problems
• Explore combining alerts, monitoring data, and other cluster information to identify potential causes
• Compare AI techniques and assess the reliability and usefulness of generated diagnoses
• Test proposed approaches and develop a proof of concept where possible

Skills

Relocation