k8sGPT : Optimize Workloads using the AI-powered Kubernetes Operator

🚀 Explore the future of Kubernetes security with the K8sGPT Operator! 🤖🔐
Introducing the K8sGPT Operator, your go-to solution for seamlessly integrating AI-driven continuous security scanning into your Kubernetes clusters. In this video, we dive into the groundbreaking capabilities of this k8dGPT operator, designed to elevate your cluster's workload management.
🔍 *Key Features:*
- *Continuous Scanning:* Discover how K8sGPT employs AI to continuously scan your Kubernetes environment, ensuring real-time threat detection and proactive security measures.
- *Actionable Insights:* Uncover actionable insights derived from the AI-powered analysis, providing you with a comprehensive understanding of potential vulnerabilities and security risks.
⚙️ *How it Works:*
Explore the inner workings of the K8sGPT Operator and understand how it integrates with your existing Kubernetes environment. From installation to configuration, we guide you through the setup process to ensure a smooth and efficient deployment.
👉 Don't miss out on the future of Kubernetes - hit play and unlock the potential of the K8sGPT Operator now! 🚀🔒 #K8sGPT #kubernetes #devops #devrel
▬▬▬▬▬▬ 🔗 Additional Info 🔗 ▬▬▬▬▬▬
- 🔗 k8sGPT documentation - docs.k8sgpt.ai/
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- 🔗 TH-cam video on how to setup k8sGPT with Azure OpenAI backend - • k8sGPT : Kubernetes di...
- 🔗 TH-cam video on how to integrate Trivy scanner with k8sGPT - • k8sgpt : Scan vulnerab...
- 🔗 Markdown file with instructions for setting up the k8sGPT operator - github.com/NileshGule/cloud-n...
▬▬▬▬▬▬ ⏱ Chapters⏱ ▬▬▬▬▬▬
00:00 - Introduction to k8sGPT operator
01:20 - Prerequisites for setting up k8sGPT operator
02:00 - Prometheus dependency
03:50 - Install Prometheus using Helm chart
06:45 - Access Prometheus and Grafana UI
08:15 - Install k8sGPT operator using Helm chart
09:40 - verify k8sGPT Kubernetes objects
10:30 - Configure k8sGPT operator
15:10 - k8sGPT targets in Prometheus
15:55 - k8sGPT Grafana dashboard
16:45 - Query detailed results using kubectl
18:20 - Change the deployment tag and observe changes in the results
21:10 - Summary
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