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Panel Recap: How is your performance and reliability strategy aligned with your customer experience?

Dynatrace

I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. What do you see as the biggest challenge for performance and reliability? Dynatrace news.

Strategy 174
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal. The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. This approach has a handful of benefits.

Traffic 339
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Site-Speed Topography

CSS Wizardry

A couple of years ago, my first few days on a new web performance project were always slow going. Unless a client hires you to specifically improve the performance of one page, you’ll need a broad view of the whole site or application. All through no fault of the client or the project, but through huge flaws in my own approach.

Speed 292
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Efficient SLO event integration powers successful AIOps

Dynatrace

For a more proactive approach and to gain further visibility, other SLOs focusing on performance can be implemented. In other words, where the application code resides. However, it’s essential to exercise caution: Limit the quantity of SLOs while ensuring they are well-defined and aligned with business and functional objectives.

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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

On the Android team, while most of our time is spent working on the app, we are also responsible for maintaining this backend that our app communicates with, and its orchestration code. Over the course of this post, we will talk about our approach to this migration, the strategies that we employed, and the tools we built to support this.

Latency 233
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MySQL Capacity Planning

Percona

Or worse yet, sometimes I get questions about regaining normal operations after a traffic increase caused performance destabilization. Unfortunately, this topic is more of an art than a science, given that there is really no foolproof algorithm or approach that can tell you exactly where you might hit a bottleneck with server performance.

Traffic 88
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Matching Supply With Demand — Solutions, Part 1

SQL Performance

This month, I'm going to start exploring the submitted solutions, roughly, going from the worse performing to the best performing ones. Why even bother with the bad performing ones? This article is dedicated to this poor performing approach. Despite the poor performance, working on the solution is an interesting exercise.

Code 116