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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. Before a new version of the application is deployed, the software is subject to a series of load tests that evaluate capacity and performance under a series of simulated traffic and application demands.

Speed 212
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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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Service level objectives: 5 SLOs to get started

Dynatrace

But the pressure on CIOs to innovate faster comes at a cost. Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination.

Latency 182
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

But the pressure on CIOs to innovate faster comes at a cost. Note : you might hear the term latency used instead of response time. Both latency and response time are critical to ensure reliability. Latency typically refers to the time it takes for a single request to travel from its source to its destination.

Traffic 173
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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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Rapid Event Notification System at Netflix

The Netflix TechBlog

We thus assigned a priority to each use case and sharded event traffic by routing to priority-specific queues and the corresponding event processing clusters. This separation allows us to tune system configuration and scaling policies independently for different event priorities and traffic patterns.

Systems 334
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Artificial Intelligence in Cloud Computing

Scalegrid

By enabling direct execution of AI algorithms on edge devices, edge computing allows for real-time processing, reduced latency, and offloading processing tasks from the cloud. This results in faster response times and reduced network traffic, enhancing the overall efficiency and effectiveness of cloud services. </p>