Course Outline
Introduction to AI-Enhanced Kubernetes Operations
- The significance of AI in contemporary cluster management
- Constraints of conventional scaling and scheduling mechanisms
- Core ML principles applied to resource management
Basics of Kubernetes Resource Management
- Fundamentals of CPU, GPU, and memory distribution
- Interpreting quotas, limits, and resource requests
- Recognizing performance bottlenecks and inefficiencies
ML Strategies for Workload Scheduling
- Supervised and unsupervised models for optimizing workload placement
- Predictive algorithms for anticipating resource demand
- Incorporating ML features into custom schedulers
Reinforcement Learning for Smart Autoscaling
- How RL agents adapt to cluster dynamics
- Crafting reward functions to maximize efficiency
- Developing RL-based autoscaling methodologies
Forecasting-Based Autoscaling with Telemetry Data
- Leveraging Prometheus data for accurate forecasting
- Applying time-series models to autoscaling processes
- Assessing prediction precision and fine-tuning models
Deploying AI-Driven Optimization Solutions
- Integrating ML frameworks with Kubernetes controllers
- Implementing intelligent control loops
- Enhancing KEDA for AI-supported decision-making
Strategies for Cost and Performance Enhancement
- Lowering compute expenses through predictive scaling
- Boosting GPU utilization via ML-driven placement
- Optimizing the balance between latency, throughput, and efficiency
Real-World Scenarios and Application Cases
- Autoscaling high-load applications using AI
- Optimizing heterogeneous node pools
- Applying ML techniques in multi-tenant environments
Wrap-Up and Future Directions
Requirements
- A solid grasp of core Kubernetes concepts
- Proficiency in deploying containerized applications
- Knowledge of cluster operations and resource management practices
Target Audience
- SREs managing large-scale distributed systems
- Kubernetes administrators 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
Course - Introduction to Containers, Kubernetes & OpenShift
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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
