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 applied to resource management
Foundations of Kubernetes Resource Management
- Essentials of CPU, GPU, and memory allocation
- Navigating quotas, limits, and resource requests
- Detecting performance bottlenecks and inefficiencies
Machine Learning Approaches for Scheduling
- Applying supervised and unsupervised models to workload placement
- Leveraging predictive algorithms for resource demand estimation
- Incorporating ML features into custom schedulers
Reinforcement Learning for Intelligent Autoscaling
- How RL agents adapt to cluster behavior
- Designing reward functions to prioritize efficiency
- Developing RL-driven autoscaling strategies
Predictive Autoscaling with Metrics and Telemetry
- Leveraging Prometheus data for accurate forecasting
- Implementing time-series models for autoscaling decisions
- 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
- Lowering compute costs through predictive scaling
- Enhancing GPU utilization via ML-driven placement
- Achieving balance between latency, throughput, and efficiency
Practical Scenarios and Real-World Use Cases
- Scaling high-load applications using AI
- Optimizing heterogeneous node pools
- Applying ML techniques in 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-demand workloads
- Platform engineers focused on optimizing compute infrastructure
Testimonials (4)
basic understanding of container/kubernetes and how they interact features of the openshift plattform
Eric Scholze - NOW IT GmbH
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Yufri Isnaini Rochmat Maulana - Bank Indonesia
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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 exchanges with Augustin
