https://github.com/dynatrace/obslab-predictive-kubernetes-scaling

Observability Lab: Predictive Auto-Scaling for Kubernetes Workloads
https://github.com/dynatrace/obslab-predictive-kubernetes-scaling

automation copilot davis demo dynatrace k8s kubernetes obslab predictive-maintenance predictive-scaling workflow workload

Last synced: 24 days ago
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Observability Lab: Predictive Auto-Scaling for Kubernetes Workloads

• Host: GitHub
• URL: https://github.com/dynatrace/obslab-predictive-kubernetes-scaling
• Owner: Dynatrace
• License: apache-2.0
• Created: 2024-08-18T09:22:33.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-10-17T04:51:15.000Z (29 days ago)
• Last Synced: 2024-10-19T06:21:18.162Z (27 days ago)
• Topics: automation, copilot, davis, demo, dynatrace, k8s, kubernetes, obslab, predictive-maintenance, predictive-scaling, workflow, workload
• Language: HCL
• Homepage: https://dynatrace.github.io/obslab-predictive-kubernetes-scaling
• Size: 903 KB
• Stars: 1
• Watchers: 2
• Forks: 7
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Observability Lab: Predictive Auto-Scaling for Kubernetes Workloads

Struggling to keep up with the demands of dynamic Kubernetes environments? Manual scaling is not only time-consuming and

reactive but also prone to errors. In this demo we harness the power of Dynatrace Automations and Davis AI to predict

resource bottlenecks and automatically open pull requests to scale applications. This proactive approach minimizes

downtime, helps you to optimize resource utilization, and ensures your applications perform at their best.

Read more and start your hands-on experience [here](https://dynatrace.github.io/obslab-predictive-kubernetes-scaling).