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Showing posts with the label SaaS

Front-End Logging & Error Handling: Sentry vs. Datadog

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  As modern web applications grow in complexity, error monitoring and performance tracking in front-end development become critical. Catching bugs early and having real-time visibility into the client-side experience can make or break user satisfaction. Two major players dominate this space: Sentry and Datadog . Both provide robust monitoring capabilities, but they cater to slightly different needs. Let’s break it down. Why Front-End Error Monitoring Matters Immediate Feedback: Real-time error tracking reduces downtime and speeds up response. Improved UX: Proactively fixing bugs improves customer experience. Debugging at Scale: Helps isolate issues by browser, device, user sessions, or environments. Sentry vs. Datadog – A Comparative Breakdown Minimize image Edit image Delete image When to Use What? Use Sentry if : You want clean stack traces, detailed error context, and lightweight integration into your front-end app (React, Vue, Next.js, etc.). Use Datadog if : You're monit...

Cloud Computing Basics: AWS, Azure, and GCP

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Cloud computing has revolutionized the way businesses build and deploy applications. Gone are the days of bulky servers and rigid infrastructure. Today, companies of all sizes rely on cloud platforms to scale efficiently, innovate faster, and reduce operational costs. In this post, let’s break down the core concepts of cloud computing and explore how the three dominant players— Amazon Web Services (AWS) , Microsoft Azure , and Google Cloud Platform (GCP) —stack up. What is Cloud Computing? Cloud computing delivers computing services—including servers, storage, databases, networking, software, and more—over the internet (“the cloud”). This allows for on-demand access , pay-as-you-go pricing , and scalable infrastructure without the need for physical hardware. Key Cloud Computing Models 1. IaaS (Infrastructure as a Service) Provides virtual machines, storage, and networking. Example: AWS EC2, Azure Virtual Machines, GCP Compute Engine. 2. PaaS (Platform as a Service) Offers a platform ...