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Architectural Insights: Designing Efficient Multi-Layered Caching With Instagram Example

DZone

This article will explore the concept of multi-layered caching from both architectural and development perspectives, focusing on real-world applications like Instagram, and provide insights into designing and implementing an efficient multi-layered cache system.

Cache 173
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Efficient SLO event integration powers successful AIOps

Dynatrace

Next, a pragmatic approach involves examining the backend, focusing on Service type entities prominently exposed to the frontend (for example, Apache Tomcat in a Linux environment). In today’s landscape, we lack a clear understanding of properly creating frontend SLOs (for example, RUM application type entities) based on key user actions.

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Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

The Netflix TechBlog

How can we achieve a similar functionality when designing our gRPC APIs? A production contains multiple fields such as: title, format, schedule dates, scripts aka screenplay, budgets, episodes, etc, but let’s keep this example simple and focus on filtering out schedule dates and scripts when requesting a production.

Design 246
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Hawkins: Diving into the Reasoning Behind our Design System

The Netflix TechBlog

Stranger Things imagery showcasing the inspiration for the Hawkins Design System by Hawkins team member Joshua Godi ; with art contributions by Wiki Chaves Hawkins may be the name of a fictional town in Indiana, most widely known as the backdrop for one of Netflix’s most popular TV series “Stranger Things,” but the name is so much more.

Design 237
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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

For example, we invest in next-generation, royalty-free codecs and sophisticated video encoding optimizations. Video downscaling is the most pertinent example herein, which tailors our encoding to screen resolutions of different devices and optimizes picture quality under varying network conditions. A visual example is shown below.

Network 302
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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

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Best practices for Fluent Bit 3.0

Dynatrace

Fluent Bit is a telemetry agent designed to receive data (logs, traces, and metrics), process or modify it, and export it to a destination. Fluent Bit was designed to help you adjust your data and add the proper context, which can be helpful in the observability backend. What’s the difference between Fluent Bit and Fluentd?