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A Step-by-Step Guide to Write a System Design Document

DZone

Have you ever wondered how large-scale systems handle millions of requests seamlessly while ensuring speed, reliability, and scalability? Behind every high-performing application whether its a search engine, an e-commerce platform, or a real-time messaging service lies a well-thought-out system design.

Design 147
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Stop Being Afraid of Databases

DZone

Our goal is to speed up development and minimize rollbacks. Do Not Wait With Checks Teams aim to maintain continuous database reliability, focusing on ensuring their designs perform well in production, scale effectively, and allow for safe code deployments. Ensuring database reliability can be difficult. Lets explore how.

Database 223
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Dynatrace + Metis: Helping developers & SREs solve Database issues with AI

Dynatrace

Metis has built an AI-driven database observability platform designed for developers and SREs. Developers today are expected to ship features at lightning speed while also being responsible for database health, an area that traditionally required deep expertise. That’s why I’m thrilled to welcome Metis to Dynatrace.

Database 306
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How To Design For High-Traffic Events And Prevent Your Website From Crashing

Smashing Magazine

How To Design For High-Traffic Events And Prevent Your Website From Crashing How To Design For High-Traffic Events And Prevent Your Website From Crashing Saad Khan 2025-01-07T14:00:00+00:00 2025-01-07T22:04:48+00:00 This article is sponsored by Cloudways Product launches and sales typically attract large volumes of traffic.

Traffic 86
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API Design Principles for Optimal Performance and Scalability

DZone

The goal is to help developers, technical managers, and business owners understand the importance of API performance optimization and how they can improve the speed, scalability, and reliability of their APIs. API performance optimization is the process of improving the speed, scalability, and reliability of APIs.

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Observability is expanding: Transforming complexity into business opportunity

Dynatrace

This shift is driving increased adoption of the Dynatrace platform, as our customers leverage our unified observability solutionpowered by Grail, our hyperscale data lakehouse, designed to store, process, and query massive volumes of observability, security, and business data with high efficiency and speed.

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RabbitMQ vs. Kafka: Key Differences

Scalegrid

RabbitMQ is designed for flexible routing and message reliability, while Kafka handles high-throughput event streaming and real-time data processing. Its design prioritizes high availability and efficient data transfer with minimal overhead, making it a practical choice for handling real-time data pipelines and distributed event processing.

Latency 147