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Kubernetes has now become the standard for modern cloud infrastructure due to its high availability, scalability, stability, and open-source nature. But even though the benefits of Kubernetes are as clear as day, there is no denying that Kubernetes can be
Managing costs in the cloud can be a daunting task for many businesses. As cloud infrastructure grows and evolves, optimizing resources and eliminating unnecessary expenses becomes increasingly important. In this blog post, we will explore a real-life scenario where a
AWS offers many different pricing models for EC2, including Spot Instances and Reserved Instances (RIs). Spot Instances offer up to 90% discount but carry the risk of interruption. On the other hand, Reserved Instances offer up to 72% decreased rates with
One of the significant advantages of running workloads on the cloud, and AWS in particular, is the ability to elastically scale workloads up and down to pay for what you use. When it comes time to pay for that EC2
Scalability is one of the core features of Kubernetes. Automating the scaling process simplifies overall resource management which would have otherwise taken intensive manual efforts to achieve. Autoscaling allows users to automatically adjust the number of resources according to the
Imagine a world where Kubernetes understands exactly what your application needs. It’s like having a personal assistant that automatically selects the most cost-effective instance types for your app on AWS, reducing your EKS costs. That’s where Karpenter comes in! Karpenter
Data engineering is a critical aspect of any modern business that relies on data-driven decision-making. It involves the collection, processing, and storage of large amounts of data in a way that makes it easy to analyze and derive insights from.
Scaling up Kubernetes clusters can be challenging. Itt involves managing multiple components like networking, storage, worker nodes, and control planes all at once.Maintaining high throughput, low latency, and optimal performance when scaling Kubernetes clusters requires efficient network configurations, load balancing,
When it comes to resource management and autoscaling in Kubernetes, users have two main options: Cluster Autoscaler or Karpenter. Cluster Autoscaler is one of the most popular options, whereas Karpenter offers exciting new features and capabilities. This blog will explore
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