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āļø Learn how to manually scale Kubernetes deployments by adjusting replica counts! This beginner-friendly tutorial covers everything you need to know about manual pod scaling in Kubernetes. šÆ What You'll Learn: ā Understanding what scaling means in Kubernetes ā When and why to use manual scaling vs autoscaling ā Using kubectl scale command for quick scaling operations ā Editing deployment YAML files to change replica counts ā Three different methods to apply YAML changes ā Verifying and monitoring your scaling operations ā Practical examples with real kubectl commands š” Perfect for DevOps engineers, system administrators, and developers who want to master Kubernetes workload management. Whether you're preparing for production deployments or testing in development environments, manual scaling is an essential skill. š§ Topics Covered: Manual pod scaling fundamentals, kubectl scale deployment commands, YAML manifest editing, kubectl apply and kubectl patch methods, deployment verification techniques, and best practices for replica management. š Part of the Kubernetes Workloads series - building your container orchestration expertise step by step! š Like this video if you found it helpful and subscribe for more Kubernetes tutorials! #Kubernetes #DevOps #KubernetesTutorial #PodScaling #KubernetesForBeginners #ContainerOrchestration #CloudNative #kubectl #DevOpsTools #KubernetesDeployment Chapters: 00:00 - Scaling Deployments: Manual Pod Scaling 00:21 - What is Scaling? 00:45 - Why Scale Manually? 01:20 - Method 1: kubectl scale Command 01:44 - kubectl scale Examples 02:11 - Method 2: Edit Deployment YAML 02:36 - Applying YAML Changes 03:04 - Verifying Scaling Operations 03:32 - Outro š Stay Connected: ā¶ļø YouTube: https://youtube.com/@thecodelucky š± Instagram: https://instagram.com/thecodelucky š Facebook: https://facebook.com/codeluckyfb š Website: https://codelucky.com ā Support us by Liking, Subscribing, and Sharing! š¬ Drop your questions in the comments below š Hit the notification bell to never miss an update #CodeLucky