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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. The service should be able to serve real-time, aka UI, applications so CRUD and search operations should be achieved with low latency.

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The Power of Caching: Boosting API Performance and Scalability

DZone

Benefits of Caching Improved performance: Caching eliminates the need to retrieve data from the original source every time, resulting in faster response times and reduced latency. Reduced server load: By serving cached content, the load on the server is reduced, allowing it to handle more requests and improving overall scalability.

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Presentation: Azure Cosmos DB: Low Latency and High Availability at Planet Scale

InfoQ

Mei-Chin Tsai, Vinod discuss the internal architecture of Azure Cosmos DB and how it achieves high availability, low latency, and scalability. By Mei-Chin Tsai, Vinod Sridharan

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Such frameworks support software engineers in building highly scalable and efficient applications that process continuous data streams of massive volume. Stream processing systems, designed for continuous, low-latency processing, demand swift recovery mechanisms to tolerate and mitigate failures effectively.

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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

The new Amazon capability enables customers to improve the startup latency of their functions from several seconds to as low as sub-second (up to 10 times faster) at P99 (the 99th latency percentile). This can cause latency outliers and may lead to a poor end-user experience for latency-sensitive applications.

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Nine ways technology executives can get significant business value with the right observability platform

Dynatrace

That’s because it does not require any pre-prepared schemas, and access to cold/hot storage is fully automatic and with zero latency. Dynatrace analytics capabilities, powered by hypermodal AI , enable executives to drive improved availability , strengthened security compliance , and heightened confidence in AI initiatives.

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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness. These metrics are latency, traffic, errors, and saturation, all of which must be key considerations when curating user experience. In this example, unlike latency, the remaining three signals did not receive a “pass.”

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