Mar 4 · 8 min read · If you are running workloads on Google Kubernetes Engine (GKE), you are likely familiar with the Horizontal Pod Autoscaler (HPA). HPA is great for scaling based on standard CPU or memory metrics. But
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Jan 13 · 3 min read · If you’re just starting out with Kubernetes, you’ve probably realized that "scaling" is one of its biggest selling points. But then you look at the documentation and see HPA, VPA, and KEDA. Which one should you use? 1. Horizontal Pod Autoscaler (HPA)...
Join discussionNov 1, 2025 · 3 min read · KEDA: Kubernetes Event Driven Auto-Scaling KEDA enables Kubernetes workloads to scale not only based on CPU or memory usage, but also on external events such as messages in RabbitMQ or Kafka, Azure Queue length, Prometheus metrics, and more. In ess...
Join discussionSep 14, 2025 · 9 min read · In modern cloud-native environments, scalability isn’t a luxury — it’s a survival skill. Kubernetes makes scaling workloads and infrastructure seamless, but the real magic happens when you combine pod-level and node-level autoscaling strategies. In t...
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Sep 12, 2025 · 15 min read · Selon le dernier rapport de l'Agence Internationale de l'Énergie (AIE), les datacenters représentaient 1,5 % de la demande mondiale d'électricité en 2024, avec 10 % de cette demande liée à l'intelligence artificielle. L'AIE prévoit que les datacenter...
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Apr 9, 2025 · 4 min read · Autoscaling is one of the most powerful features in Kubernetes. It promises to help you respond to fluctuating demand without manual intervention - saving costs when traffic is low and scaling automatically when it's high. But what happens when… it d...
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Apr 3, 2025 · 4 min read · Introduction Kubernetes has revolutionized the way we deploy and manage containerized applications. However, efficiently scaling workloads based on demand remains a challenge. While Kubernetes’ native Horizontal Pod Autoscaler (HPA) scales applicatio...
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Jan 18, 2025 · 11 min read · [ Included: the architecture, YAMLs, and Python Code for the 2 microservices (Athena→SQS & SQS→SageMaker) to make this pipeline work. ] Secured Data Pipeline: Secure your (Athena, SQS) Credentials in Vault/Secret Manager for the Pods to Query Them P...
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