Tag Archives: Serverless

Building Cloud-Native Applications with AWS Serverless Application Model

The concept of serverless computing has radically transformed the way modern applications are architected and deployed. Unlike traditional infrastructure, where provisioning, managing, and scaling servers form the backbone of software delivery, serverless computing abstracts these concerns away, allowing developers to focus primarily on business logic. At its core, serverless architecture enables automatic scaling, fault tolerance,… Read More »

Comprehensive Guide to Aurora Serverless: From Basics to Advanced Features

The term “serverless” can sometimes be misleading since servers are still involved, but the management of these servers is abstracted away from the user. AWS Aurora Serverless is an example of this abstraction, specifically tailored for relational databases. This innovation in database technology eliminates the traditional need for database administrators to manually manage hardware or… Read More »

Unmasking Silent Storms: Detecting HTTP Flood Attacks with AWS Serverless Intelligence

In the era of digital dynamism, the sophistication of cyber threats has evolved in lockstep with technological advancement. Among the myriad digital onslaughts, HTTP flood attacks pose a stealthy and potent risk, bombarding servers with seemingly legitimate HTTP requests to degrade, destabilize, or dismantle web applications. These aren’t your typical brute force incursions; they mimic… Read More »

Serverless Computing with Google Cloud Functions

Serverless computing has revolutionized the way applications are developed and deployed. Rather than worrying about physical or virtual servers, developers write small chunks of code, called functions, which run in response to specific events. This abstraction liberates programmers from infrastructure management, enabling faster iteration and a greater focus on functionality. The ephemeral nature of serverless… Read More »

The Dawn of Serverless Machine Learning: A New Paradigm in Model Deployment

In the rapidly evolving realm of artificial intelligence and machine learning, the way models are deployed is as crucial as the models themselves. Traditional deployment architectures often demand extensive infrastructure management, including provisioning servers, scaling compute resources, and maintaining uptime. However, the advent of serverless computing has revolutionized this landscape, presenting an elegant solution for… Read More »

Unlocking the Power of Azure Serverless Computing

Serverless computing marks a revolutionary step in cloud technology, where developers are liberated from the burden of managing server infrastructure. Instead of provisioning and maintaining servers, applications are composed of discrete functions executed on demand. This paradigm facilitates a cost-effective and scalable approach that aligns resource usage directly with actual demand, removing idle compute costs… Read More »

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