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Duration 21 hours
Course Outline
Introduction to AI-Enhanced Kubernetes Operations
- The critical role of AI in modern cluster management
- Constraints of conventional scaling and scheduling logic
- Core ML concepts for resource governance
Foundations of Kubernetes Resource Management
- Basics of CPU, GPU, and memory distribution
- Comprehending quotas, limits, and requests
- Spotting bottlenecks and inefficiencies
Machine Learning Approaches for Scheduling
- Supervised and unsupervised models for workload placement
- Predictive algorithms for resource demand estimation
- Incorporating ML features into custom schedulers
Reinforcement Learning for Intelligent Autoscaling
- How RL agents interpret cluster behavior
- Formulating reward functions for efficiency
- Constructing RL-driven autoscaling strategies
Predictive Autoscaling with Metrics and Telemetry
- Utilizing Prometheus data for forecasting
- Applying time-series models to autoscaling
- Assessing prediction accuracy and refining models
Implementing AI-Driven Optimization Tools
- Integrating ML frameworks with Kubernetes controllers
- Deploying intelligent control loops
- Extending KEDA for AI-assisted decision-making
Cost and Performance Optimization Strategies
- Cutting compute costs via predictive scaling
- Boosting GPU utilization with ML-driven placement
- Optimizing latency, throughput, and efficiency
Practical Scenarios and Real-World Use Cases
- Autoscaling high-load applications with AI
- Optimizing heterogeneous node pools
- Applying ML to multi-tenant environments
Summary and Next Steps
Requirements
- Solid grasp of Kubernetes core concepts
- Hands-on experience with deploying containerized applications
- Working knowledge of cluster operations and resource governance
Target Audience
- SREs managing large-scale distributed systems
- Kubernetes operators overseeing high-throughput workloads
- Platform engineers focused on optimizing compute infrastructure
Testimonials (2)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes
basic understanding of container/kubernetes and how they interact features of the openshift plattform
