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Designing Instagram

High Scalability

Currently, he is in the Alexa Shopping organization where he is developing machine-learning-based solutions to send personalized reorder hints to customers for improving their experience. After that, the post gets added to the feed of all the followers in the columnar data storage. Problem Statement. Fetching User Feed.

Design 334
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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

Secondly, determining the correct allocation of resources (CPU, memory, storage) to each virtual machine to ensure optimal performance without over-provisioning can be difficult. We’ve worked with our partners and customers to internalize the Hyper-V observability practices they have developed over years of experience running Hyper-V.

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Improved Alerting with Atlas Streaming Eval

The Netflix TechBlog

While we were able to put out the immediate fire by disabling the newly created alerts, this incident raised some critical concerns around the scalability of our alerting system. It became clear to us that we needed to solve the scalability problem with a fundamentally different approach. OK, Results?

Storage 288
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What Is RabbitMQ: Key Features and Uses

Scalegrid

It employs the Advanced Message Queuing Protocol (AMQP) to provide reliable, scalable message passing, crucial for modern applications dealing with large-scale, complex data flows. Additionally, the low coupling between sender and receiver applications allows for greater flexibility and scalability in the system.

IoT 130
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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Our distributed tracing infrastructure is grouped into three sections: tracer library instrumentation, stream processing, and storage.

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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

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Datadog Creates Scalable Data Ingestion Architecture

InfoQ

The event-driven architecture (EDA) can accommodate bursts in traffic in the multi-tenant platform with reasonable ingestion latency and acceptable operational costs. Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. By Rafal Gancarz