Python

Kubernetes Autoscaling

Michael Forrester

Lead AWS Cloud Trainer

Dipin Thomas

Engineering Manager and DevOps Expert

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Description

Kubernetes has become a cornerstone of modern technology, often called the "Linux of the future." Its role in driving the AI revolution is undeniable, with systems like ChatGPT and OpenAI running entirely on Kubernetes. As demand for Kubernetes expertise surges—growing by over 173% in job searches in just a year—now is the time to establish your credibility and value in this dynamic field.

Welcome to the Kubernetes Autoscaling Course by Kodekloud! Guided by expert instructor Michael Forrester, this course equips you with the skills to master Kubernetes scaling techniques and ensure optimal performance for your workloads.

What You'll Learn

Manual Scaling: Gain foundational insights into the importance of scaling and hands-on experience with manual configurations for Horizontal Pod Autoscaler (HPA) and Vertical Pod Autoscaler (VPA).
Horizontal Pod Autoscaler (HPA): Dive deep into HPA's architecture, learn how to install and configure the metrics server, and explore custom and external metrics for dynamic scaling.
Vertical Pod Autoscaler (VPA): Understand VPA's architecture and functionality while mastering memory and CPU resource management through practical demos and labs.
Cluster Proportional Autoscaler (CPA): Explore CPA's unique scaling mechanism based on cluster size, and develop expertise in handling priority settings and preemption.
Kubernetes Event-Driven Autoscaling (KEDA): Discover KEDA's event-driven scaling capabilities with hands-on labs focused on CPU triggers, CRON schedules, and Redis List events.

Why This Course?

This course combines in-depth theory with hands-on practice in real-world scenarios, ensuring you build a solid foundation in Kubernetes autoscaling. You’ll work on engaging labs that let you experiment, make mistakes, and learn in a safe, supportive environment.\

About the instructor

Michael Forrester, a DevOps legend with a 23-year career in technology, excels in DevOps, cloud technologies, and Agile methodologies.

At Web Age Solutions, he was a Principal Cloud and DevOps Instructor, shaping training programs. His tenure at Amazon Web Services as a Senior Technical Trainer involved enhancing cloud solutions skills. At ThoughtWorks, in roles like Lead Consultant, he focused on DevOps and platform architecture.

About the instructor

Dipin Thomas is an Engineering Manager at ShopBack, where he plays a vital role in adopting DevOps best practices. His technical expertise and leadership have been instrumental in enhancing the efficiency and scalability of platforms, particularly in the banking, insurance, and healthcare sectors.

His career includes leading roles at Versent as Lead DevOps Engineer and at VISEO and BNP Paribas Personal Finance as a DevOps Engineer. At Versent, he significantly contributed to the adoption of DevOps for products generating substantial revenue, ensuring zero downtime through meticulously designed deployment architectures on managed Kubernetes platforms across AWS and Azure.

At Astro, Dipin was pivotal in DevOps adoption, delivering scalable AWS solutions and achieving substantial cost savings. His initiatives in reboot automation and resource tagging compliance dramatically improved operational efficiency.

His expertise extends to implementing NIST and ISO security controls, particularly in HIPAA compliance projects, and a strong background in Cisco layer 2/3 and 4 switches and routers.

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