Kubernetes Scenario Interview Questions | Kubernetes Interview Questions and Answers for Experienced

Kubernetes Scenario Interview Questions | Kubernetes Interview Questions and Answers for Experienced | 001

Hey folks,

Welcome back to another video in the series of DevOps Interviews. This is the 1st video in this series. This is a complete 34-minute-long technical video purely on #kubernetes #devops #devopsinterview etc. Pick a pen and paper, and note down the questions we have covered in this video.

🎯 Key points for quick navigation:

00:00 🎥 Introduction to Kubernetes interview series
This section introduces a series focused on Kubernetes interview scenarios and insights.
Emphasis on gathering permissions for interview recordings and filtering content.
01:10 🌟 Highlights of a Successful Kubernetes Interview
Detailed overview of a successful Kubernetes interview session.
Focus on candidate expertise and comprehensive Kubernetes knowledge.
03:04 📚 Candidate's Professional Background
Discussion on the candidate's educational and professional journey.
Experience timeline from a product-based company to Cloud operations.
05:30 🛠️ Transition from Monolithic to Microservices
Insights into transitioning architecture from monolithic to microservices.
Role of Kubernetes in facilitating this architectural shift.
07:24 🏛️ Overview of Kubernetes Architecture
Detailed breakdown of Kubernetes architecture components.
Explanation of master node and worker node roles.
09:27 🔄 Kubernetes vs. Docker Swarm
Comparison between Kubernetes and Docker Swarm for container orchestration.
Advantages of Kubernetes over Docker Swarm in terms of scalability and management.
12:02 📦 Deployment Challenges in Microservices
Addressing deployment challenges in microservices architectures.
Role of Kubernetes in automating deployment processes.
15:21 🌐 Load Balancing with Kubernetes
Implementing load balancing solutions within Kubernetes.
Internal and external load balancer functionalities explained.
17:58 🚀 Scaling Infrastructure with Kubernetes
Strategies for scaling infrastructure using Kubernetes.
Integration of monitoring tools like Prometheus for capacity planning.
19:21 📂 Namespace Management in Kubernetes
Importance of namespaces in Kubernetes for resource partitioning.
Practical use cases and benefits of using namespaces.
21:09 🛠️ Kubernetes Operators
Role and capabilities of Kubernetes operators in managing applications.
Custom resource management with operators for enhanced automation.
22:06 🛡️ OpenSearch vs. Elasticsearch Overview
Comparison between Elasticsearch and OpenSearch,
AWS's creation of OpenSearch and its relation to Elasticsearch,
Usage of Helm charts for OpenSearch deployment and the introduction of Kubernetes operators.
23:29 🛠️ Kubernetes Operators for OpenSearch Deployment
Explanation of Kubernetes operators,
Their role in automating OpenSearch deployments,
Contrast with manual Helm chart deployments.
24:32 🔒 Enhancing Kubernetes Security
Implementing Network Policies to restrict pod communication,
Role-Based Access Control (RBAC) usage in Kubernetes,
Leveraging namespaces for segregation and access control.
26:48 📊 Centralized Logging in Kubernetes
Methods for centralizing logs including node-level logging agents,
Integration with Grafana for visualization and analysis,
Exporting logs directly from Kubernetes pods using sidecar containers.
28:00 🌐 Kubernetes Ingress and Default Backend
Explanation of Kubernetes Ingress and its role in routing incoming requests,
Importance of defining default backends for unhandled requests.
29:22 🔍 Troubleshooting Kubernetes Pod Scheduling Issues
Steps to troubleshoot pod scheduling issues,
Using `kubectl describe` to diagnose pod startup failures,
Adjusting resource allocations to resolve scheduling problems.
31:15 🔄 Port Forwarding in Kubernetes
Forwarding port 8080 from a container to a service, Ingress, and finally to a browser,
Using Ingress controllers to expose ports externally,
Configuring selectors to manage traffic forwarding effectively.

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