Autoscaling is a useful feature for scaling workers up or down, based on the number of jobs pending inside the Spacelift platform 📈 In this tutorial (linked in the comments), 🚀 Joey Stout combines the following open-source technologies to achieve this: 1️⃣ A Spacelift Worker Pool Controller is installed in the cluster to manage the worker pool. 2️⃣ A Prometheus Exporter is installed in the cluster to expose the queue length of the worker pool. 3️⃣ A KEDA ScaledObject is installed in the cluster to monitor the queue length and scale the worker pool based on the queue length from a Prometheus query. ❗This is a beta feature, so we'd love to get your feedback on how we can make it even better.
Spacelift’s Post
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Ready to unlock the power of open-source observability? Find Chronosphere's hands-on, self-guided workshop below and dive into Prometheus, the ultimate tool for monitoring and alerting. Designed to expand your skills and unleash the full potential of your #observability stack. Learn about how to relabel metrics and apply certain labels in Prometheus here: https://okt.to/3dJKER
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