Course Outline
Introduction to AI-Enhanced Kubernetes Operations
- The importance of AI in modern cluster operations.
- Limitations of traditional scaling and scheduling logic.
- Key machine learning concepts for resource management.
Foundations of Kubernetes Resource Management
- Fundamentals of CPU, GPU, and memory allocation.
- 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.
- Utilizing ML features in custom schedulers.
Reinforcement Learning for Intelligent Autoscaling
- How RL agents learn from cluster behavior.
- 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 Optimization Tools
- Integrating ML frameworks with Kubernetes controllers.
- Deploying intelligent control loops.
- Extending KEDA for AI-assisted decision-making.
Cost and Performance Optimization Strategies
- Reducing compute costs through predictive scaling.
- Improving GPU utilization with ML-driven placement.
- Balancing 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
- A solid understanding of Kubernetes fundamentals.
- Experience with deploying containerized applications.
- Familiarity with cluster operations and resource management.
Target Audience
- SREs working with large-scale distributed systems.
- Kubernetes operators managing high-demand workloads.
- Platform engineers focused on optimizing compute infrastructure.
Testimonials (3)
About the microservices and how to maintenance kubernetes
Yufri Isnaini Rochmat Maulana - Bank Indonesia
Course - Advanced Platform Engineering: Scaling with Microservices and Kubernetes
How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
Course - Certified Kubernetes Administrator (CKA) - exam preparation
The knowledge and the patience from the trainer to answer to our questions.
