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Ensuring the Successful Launch of Ads on Netflix

The Netflix TechBlog

Next, we launched a Mantis job that processed all requests in the stream and replayed them in a duplicate production environment created for replay traffic. The Mantis query language allowed us to set the percentage of replay traffic to process. We continued ramping up and eventually reached 100% replay.

Traffic 342
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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 second phase involves migrating the traffic over to the new systems in a manner that mitigates the risk of incidents while continually monitoring and confirming that we are meeting crucial metrics tracked at multiple levels.

Traffic 339
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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

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. To prepare ourselves for a big change in the tech stack of our endpoint, we decided to track metrics around the time taken to respond to queries.

Latency 233
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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. Rethinking the process means digital transformation. What trends are you seeing in the industry?

Strategy 178
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Seven benefits of AIOps to transform your business operations

Dynatrace

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. To achieve these AIOps benefits, comprehensive AIOps tools incorporate four key stages of data processing: Collection. What is AIOps, and how does it work?

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Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

Real user monitoring (RUM) is a performance monitoring process that collects detailed data about users’ interactions with an application. RUM gathers information on a variety of performance metrics. RUM is ideally suited to provide real metrics from real users navigating a site or application. What is real user monitoring?

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Site-Speed Topography

CSS Wizardry

Any time you run a test with WebPageTest, you’ll get this table of different milestones and metrics. Higher variance means a less stable metric across pages. I can see from the screenshot above that TTFB is my most stable metrics—no one page appears to have particularly expensive database queries or API calls on the back-end.

Speed 292