Ruchi Yadav
Integration Consultant at Avella AS, a Norwegian Consulting Company
Mastering Scalable ML Model Deployment with Amazon SageMaker
Dec 7, 2024
Amazon SageMaker is a versatile tool for deploying machine learning models at scale, enabling practitioners to transition smoothly from prototyping to production. The first step in mastering SageMaker’s deployment capabilities is understanding endpoint optimization. SageMaker allows users to create real-time inference endpoints, where multi-model endpoints can serve multiple models using a single endpoint. This feature reduces operational costs and enhances...
Improving API Performance with AWS API Gateway Caching
Nov 30, 2024
In today’s applications, APIs play a central role in facilitating communication between different services and clients. However, as the volume of API requests grows, it can become challenging to maintain optimal performance and reduce latency. One of the key ways to address this issue is by utilizing caching, which stores frequently requested data temporarily to reduce the need for repeated...
Simplify Infrastructure Management with AWS CDK
Nov 6, 2024
Managing infrastructure as code (IaC) is one of the best practices for modern cloud-based applications. However, writing, maintaining, and scaling infrastructure code can be complex and time-consuming, especially when dealing with multiple services and resources in cloud environments like AWS. AWS Cloud Development Kit (AWS CDK) is a powerful framework that simplifies the process of defining, deploying, and managing AWS...
Decoding AWS Secrets Manager: Simplify Secure Credential Storage
Oct 22, 2024
In today’s digital landscape, security is a top priority for any application. Managing sensitive information such as API keys, database credentials, and other secrets can quickly become complex and risky, especially when these credentials are hardcoded in source code or stored in insecure locations. AWS Secrets Manager is a fully managed service that helps you securely store, manage, and retrieve...
Fine-Tuning Foundation Models on Amazon SageMaker
Oct 3, 2024
Foundation models (FMs) have become a cornerstone of modern machine learning, providing pre-trained capabilities that can be adapted for various applications. Amazon SageMaker simplifies the process of fine-tuning these models, enabling practitioners to tailor them to specific use cases. The journey begins with selecting the right pre-trained model, and SageMaker’s integration with Hugging Face makes this step effortless. With thousands...