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

Dynatrace

As a technology executive, you’re aware that observability has become an imperative for managing the health of cloud and IT services. I also have the privilege of being “customer zero” for our platform, which enables me to continually discover where Dynatrace can deliver on more use cases to drive my team’s productivity and innovation.

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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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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

This architecture shift greatly reduced the processing latency and increased system resiliency. We rolled out encoding innovations such as per-title and per-shot optimizations, which provided significant quality-of-experience (QoE) improvement to Netflix members. This introductory blog focuses on an overview of our journey.

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Managing risk for financial services: The secret to visibility and control during times of volatility

Dynatrace

Managing these risks involves using a range of technology solutions, from in-house, do-it-yourself solutions to third-party, software-as-a-service (SaaS) solutions. Mission-critical risks in banking Dynatrace brings a flexible, easy-to-implement, and vertically integrated technology solution to risk management for banks.

Analytics 206
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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

It requires specialized talent, a new technology stack to manage and deploy models, an ample budget for rising compute costs, and end-to-end security. For production models, this provides observability of service-level agreement (SLA) performance metrics, such as token consumption, latency, availability, response time, and error count.

Cache 209
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What is full stack observability?

Dynatrace

Full-stack observability is fast becoming a must-have capability for organizations under pressure to deliver innovation in increasingly cloud-native environments. Endpoints include on-premises servers, Kubernetes infrastructure, cloud-hosted infrastructure and services, and open-source technologies. What is full-stack observability?

DevOps 235
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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

To do so, we continuously push the boundaries of streaming video quality and leverage the best video technologies. On a CPU, we leveraged oneDnn to further reduce latency. Our deep downscaler effort was an excellent opportunity to showcase how Cosmos can drive future media innovation at Netflix.

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