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Designing Instagram

High Scalability

User Feed Service, Media Counter Service) read the actions from the streaming data store and performs their specific tasks. media search index, locations search index, and so forth) in future. After that, the post gets added to the feed of all the followers in the columnar data storage. After that, the various services (e.g.

Design 334
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Edge Data Platforms, Real-Time Services, and Modern Data Trends

DZone

You may also know that this has led to an increase in the demand for efficient and secure data storage solutions that won’t break the bank. By processing data at the edge of the network, latency can be minimized, which means that data can be processed and analyzed faster.

IoT 130
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Why growing AI adoption requires an AI observability strategy

Dynatrace

And an O’Reilly Media survey indicated that two-thirds of survey respondents have already adopted generative AI —a form of AI that uses training data to create text, images, code, or other types of content that reflect its users’ natural language queries. AI requires more compute and storage. AI performs frequent data transfers.

Strategy 226
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

It provides a good read on the availability and latency ranges under different production conditions. The upstream service calls the existing and new replacement services concurrently to minimize any latency increase on the production path. For instance, envision a response payload that delivers media streams for a playback session.

Traffic 339
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The Anna Key-Value Store Now Has 355x the Performance of DynamoDB for the Dollar

High Scalability

They've posted about Anna's new superpowers in Going Fast and Cheap: How We Made Anna Autoscale : Using Anna v0 as an in-memory storage engine, we set out to address the cloud storage problems described above. Each storage server collects statistics about the requests it serves, the data it stores, etc. Related Articles.

Storage 199
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How digital experience monitoring helps deliver business observability

Dynatrace

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

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Titan Graph Database Integration with DynamoDB: World-class Performance, Availability, and Scale for New Workloads

All Things Distributed

Today, we are releasing a plugin that allows customers to use the Titan graph engine with Amazon DynamoDB as the backend storage layer. It opens up the possibility to enjoy the value that graph databases bring to relationship-centric use cases, without worrying about managing the underlying storage. The importance of relationships.

Database 134