Kursplan
Introduction to AI-Enhanced Kubernetes Operations
- Why AI matters for modern cluster operations
- Limitations of traditional scaling and scheduling logic
- Key concepts of ML for resource management
Foundations of Kubernetes Resource Management
- CPU, GPU and memory allocation fundamentals
- Understanding quotas, limits and requests
- Identifying bottlenecks and inefficiencies
Machine Learning Approaches for Scheduling
- Supervised and unsupervised models for workload placement
- Predictive algorithms for resource demand
- Using ML features in custom schedulers
Reinforcement Learning for Intelligent Autoscaling
- How RL agents learn from cluster behaviour
- Designing reward functions for efficiency
- Building RL-driven autoscaling strategies
Predictive Autoscaling with Metrics and Telemetry
- Using Prometheus data for forecasting
- Applying time-series models to autoscaling
- Evaluating prediction accuracy and tuning models
Implementing AI-Driven Optimisation Tools
- Integrating ML frameworks with Kubernetes controllers
- Deploying intelligent control loops
- Extending KEDA for AI-assisted decision-making
Cost and Performance Optimisation Strategies
- Reducing compute costs through predictive scaling
- Improving GPU utilisation with ML-driven placement
- Balancing latency, throughput and efficiency
Practical Scenarios and Real-World Use Cases
- Autoscaling high-load applications with AI
- Optimising heterogeneous node pools
- Applying ML to multi-tenant environments
Summary and Next Steps
Krav
- An understanding of Kubernetes fundamentals
- Experience with containerised application deployments
- Familiarity with cluster operations and resource management
Target audience
- SREs working with large-scale distributed systems
- Kubernetes operators managing high-demand workloads
- Platform engineers optimising compute infrastructure
Vittnesmål (2)
Som jag sade tidigare var detta för en person som mig (utan tidigare erfarenhet) ett första steg mot att förstå funktioner och verktyg i dessa program.
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Kurs - Docker and Kubernetes
Maskintolkat
grundläggande förståelse av containrar och Kubernetes samt hur de samverkar funktioner hos OpenShift-plattformen
Eric Scholze - NOW IT GmbH
Kurs - Introduction to Containers, Kubernetes & OpenShift
Maskintolkat
