Remove Exercise Remove Latency Remove Monitoring Remove Traffic
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 1 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Hundreds of millions of customers tune into Netflix every day, expecting an uninterrupted and immersive streaming experience. This approach has a handful of benefits.

Traffic 339
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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

As businesses compete for customer loyalty, it’s critical to understand the difference between real-user monitoring and synthetic user monitoring. However, not all user monitoring systems are created equal. What is real user monitoring? Real-time monitoring of user application and service interactions.

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Service level objectives: 5 SLOs to get started

Dynatrace

Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. This SLO enables a smooth and uninterrupted exercise-tracking experience. Note : you might hear the term latency used instead of response time. Latency primarily focuses on the time spent in transit.

Latency 174
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Service level objective examples: 5 SLO examples for faster, more reliable apps

Dynatrace

Fitness app : The fitness app should offer a response time of less than 500 milliseconds for exercise tracking and data recording. This SLO enables a smooth and uninterrupted exercise-tracking experience. Note : you might hear the term latency used instead of response time. Latency primarily focuses on the time spent in transit.

Traffic 173
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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

Each of these models is suitable for production deployments and high traffic applications, and are available for all of our supported databases, including MySQL , PostgreSQL , Redis™ and MongoDB® database ( Greenplum® database coming soon). This can result in significant cost savings for high traffic applications. No problem.

Cloud 242
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Automating chaos experiments in production

The Morning Paper

In all cases we need to be able to carefully monitor the impact on the system, and back out if things start going badly wrong. Two failure modes we focus on are a service becoming slower (increase in response latency) or a service failing outright (returning errors). a bug fix, configuration change, new feature, or A/B test).

Latency 77
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Failure Modes and Continuous Resilience

Adrian Cockcroft

There are many possible failure modes, and each exercises a different aspect of resilience. It would take 5–10 minutes after the problem occurred to appear as a problem, then people have to notice and respond to emails or pager text messages, dial into a conference call, and log in to monitoring dashboards before any human response can start.

Latency 52