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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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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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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Customers can use AWS Lambda Response Streaming to improve performance for latency-sensitive applications and return larger payload sizes. Customers can use response streaming to achieve the following: Improve Time to First Byte (TTFB) performance for latency-sensitive applications. Return larger payload sizes.

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Dynatrace automatically monitors OpenAI ChatGPT for companies that deliver reliable, cost-effective services powered by generative AI

Dynatrace

Businesses in all sectors are introducing novel approaches to innovate with generative AI in their domains. One of the crucial success factors for delivering cost-efficient and high-quality AI-agent services, following the approach described above, is to closely observe their cost, latency, and reliability.

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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

By automating and accelerating the service-level objective (SLO) validation process and quickly reacting to regressions in service-level indicators (SLIs), SREs can speed up software delivery and innovation. At the lowest level, SLIs provide a view of service availability, latency, performance, and capacity across systems.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

For production models, this provides observability of service-level agreement (SLA) performance metrics, such as token consumption, latency, availability, response time, and error count. Enterprises that fail to adapt to these innovations face extinction.

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

The Netflix TechBlog

On a CPU, we leveraged oneDnn to further reduce latency. Integrating neural networks into our next-generation encoding platform The Encoding Technologies and Media Cloud Engineering teams at Netflix have jointly innovated to bring Cosmos , our next-generation encoding platform, to life. Our filter can run on both CPU and GPU.

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