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: 19 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 (9 months ago)
- Default Branch: main
- Last Pushed: 2025-02-13T00:39:40.000Z (3 months ago)
- Last Synced: 2025-02-25T06:43:25.094Z (3 months 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: 957 KB
- Stars: 5
- Watchers: 2
- Forks: 20
- Open Issues: 6
-
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.Watch the full companion video on YouTube:
[](https://www.youtube.com/watch?v=EMw-MUZi-xk)
## [Start the hands-on here >>](https://dynatrace.github.io/obslab-predictive-kubernetes-scaling)