GKE becomes more elastic: Scale to zero, save costs, and keep workloads responsive
From the source: Google Cloud Blog
True elasticity has long been the holy grail of cloud-native engineering. And while Kubernetes has revolutionized resource management, workloads that run sporadically (e.g., batch processors, event-driven workers, and development environments) still consume compute resources while they wait for work, driving up costs. We’re addressing this head-on in Google Kubernetes Engine (GKE) 1.37 with a…
Read the full story on Google Cloud BlogAsk the square
The story is what was announced. If it raises a question for your team, ask the people who run this technology day to day. Your post links back to this story, so the next reader finds it too.
Recent threads in Containers & Kubernetes
How many Kubernetes clusters do you run, and how do you keep upgrades sane?
Fleet size, managed vs self-managed, and the tooling that keeps version upgrades from becoming a quarterly fire drill.
OpenShift vs managed Kubernetes (EKS/AKS/GKE) for regulated workloads
For teams in financial services, government or healthcare: which did you choose and what tipped it: compliance evidence, support, cost or skills?
Something wrong or out of date? Suggest a correction. We reply within 5 business days.
More from Google Cloud
Recent updates from Google Cloud, so you can tell whether this is a one-off or part of a pattern.
More in Containers & Kubernetes
What other companies in Containers & Kubernetes are doing. The category page shows who’s active, side by side.
