Deep dive into the three fundamental paradigms of machine learning. Explore supervised learning for predictions, unsupervised learning for pattern discovery, and reinforcement learning for decision optimization with practical Python examples.
Read more →Month: February 2025
The Rise of GitOps: Automating Deployment and Improving Reliability
GitOps is a relatively new approach to software delivery that has been gaining popularity in recent years. It is a set of practices for managing and deploying infrastructure and applications using Git as the single source of truth. In this blog post, we will explore the concept of GitOps, its key benefits, and some examples […]
Read more →Batch Inference Optimization: Maximizing Throughput and Minimizing Costs
Introduction: Batch inference optimization is critical for cost-effective LLM deployment at scale. Processing requests individually wastes GPU resources—the model loads weights once but processes only a single sequence. Batching multiple requests together amortizes this overhead, dramatically improving throughput and reducing per-request costs. This guide covers the techniques that make batch inference efficient: dynamic batching strategies, […]
Read more →GitOps with a comparison between Flux and ArgoCD and which one is better for use in Azure AKS
GitOps has emerged as a powerful paradigm for managing Kubernetes clusters and deploying applications. Two popular tools for implementing GitOps in Kubernetes are Flux and ArgoCD. Both tools have similar functionalities, but they differ in terms of their architecture, ease of use, and integration with cloud platforms like Azure AKS. In this blog, we will […]
Read more →Mastering Hybrid Cloud with Google Anthos: Unified Kubernetes Management Across Any Environment
Introduction: Google Anthos provides a unified platform for managing applications across on-premises data centers, Google Cloud, and other cloud providers. This comprehensive guide explores Anthos’s enterprise capabilities, from GKE Enterprise and Config Management to Service Mesh and multi-cluster networking. After implementing hybrid cloud architectures for enterprises with complex compliance and data residency requirements, I’ve found […]
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