Course Outline
Introduction to AI-Enhanced Kubernetes Operations
- The importance of AI in modern cluster management
- Constraints of conventional scaling and scheduling approaches
- Core ML concepts applicable to resource management
Basics of Kubernetes Resource Management
- Fundamentals of CPU, GPU, and memory allocation
- Navigating quotas, limits, and resource requests
- Recognizing performance bottlenecks and inefficiencies
Machine Learning Strategies for Scheduling
- Supervised and unsupervised models for workload placement
- Predictive algorithms for estimating resource demand
- Integrating ML features into custom schedulers
Reinforcement Learning for Intelligent Autoscaling
- How RL agents adapt by learning from cluster dynamics
- Formulating reward functions to drive efficiency
- Developing RL-based autoscaling policies
Predictive Autoscaling via Metrics and Telemetry
- Leveraging Prometheus data for forecasting
- Applying time-series models to autoscaling workflows
- Assessing prediction accuracy and refining models
Deploying AI-Driven Optimization Tools
- Integrating ML frameworks with Kubernetes controllers
- Implementing intelligent control loops
- Extending KEDA to support AI-assisted decision-making
Cost and Performance Optimization Strategies
- Cutting compute costs through predictive scaling
- Enhancing GPU utilization via ML-driven placement
- Striking a balance between latency, throughput, and efficiency
Real-World Scenarios and Practical Use Cases
- Autoscaling high-load applications using AI
- Optimizing heterogeneous node pools
- Applying ML in multi-tenant environments
Summary and Next Steps
Requirements
- A solid grasp of Kubernetes core concepts
- Hands-on experience deploying containerized applications
- Proficiency in cluster operations and resource management
Target Audience
- SREs managing large-scale distributed systems
- Kubernetes operators handling 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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How trainer deliver knowledge so effectively
Vu Thoai Le - Reply Polska sp. z o. o.
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The knowledge and exchanges with Augustin
