Course Outline
Introduction to AI-Enhanced Kubernetes Operations
- The importance of AI in modern cluster management
- The constraints of conventional scaling and scheduling methods
- Core ML concepts applied to resource management
Basics of Kubernetes Resource Management
- Foundations of CPU, GPU, and memory allocation
- Clarifying quotas, limits, and requests
- Detecting bottlenecks and inefficiencies
ML Approaches for Scheduling
- Supervised and unsupervised models for workload placement
- Predictive algorithms for anticipating resource demand
- Integrating ML features into custom schedulers
Reinforcement Learning for Intelligent Autoscaling
- How RL agents learn from cluster dynamics
- Designing reward functions for efficiency
- Developing RL-driven autoscaling strategies
Predictive Autoscaling via Metrics and Telemetry
- Leveraging Prometheus data for forecasting
- Applying time-series models to autoscaling
- Assessing prediction accuracy and refining models
Implementing AI-Driven Optimisation Tools
- Integrating ML frameworks with Kubernetes controllers
- Deploying intelligent control loops
- Extending KEDA for AI-assisted decision-making
Cost and Performance Optimisation Strategies
- Lowering compute costs via predictive scaling
- Enhancing GPU utilisation with ML-driven placement
- Balancing latency, throughput, and efficiency
Practical Scenarios and Real-World Use Cases
- Autoscaling high-load applications with AI
- Optimising heterogeneous node pools
- Applying ML in multi-tenant environments
Summary and Next Steps
Requirements
- A solid grasp of Kubernetes fundamentals
- Hands-on experience with deploying containerised 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 optimising compute infrastructure
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3900 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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
