Engineering
Tier Your Apps, Cut Your Costs: A Practical Framework for Spot Instances in Production
In this guide, we’ll walk through a practical approach to running Spot Instances in production…
Intelligent Spot Instance Availability: How Machine Learning Reduces Interruptions by up to 94%
Discover how Cast identifies Spot Instances with low interruption rates and prioritizes them when scaling…
Demystifying Quantizations: Guide to Quantization Methods for LLMs
Quantization is key to running large language models efficiently, balancing accuracy, memory, and cost. This…
Kubernetes Resource Management: Optimizing High-Resource Initialization Workloads
Kubernetes workloads can fail during startup even when resources look sufficient. CPU spikes in Java…
Kubernetes Scheduling Best Practices: Mastering Topology Spread Constraints and Pod Affinity
Effective pod scheduling is key to resilient, cost-efficient Kubernetes infrastructure. This in-depth guide explores pod…
Enterprise Kubernetes Best Practices: Building a Resilient, Secure, and Cost-Optimized Kubernetes Platform
Even experienced cloud-native teams struggle with Kubernetes complexity, security, and resource waste. This guide shares…
How In-Place Pod Resizing Works in Kubernetes and Why Cast AI Makes It Better
Kubernetes 1.33+ introduces in-place pod resizing, allowing teams to change pod CPU and memory without…
Complete Guide to Kubernetes Services with Examples
Explore Kubernetes services and their unique use cases, together with examples and best practices.
Traefik vs. NGINX: Comparison and Practical Guide
Explore the pros, cons, and unique characteristics of Traefik vs. NGINX for Kubernetes.
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