Remove Analytics Remove Traffic Remove Video
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. To that end, the Video and Image Encoding team in Encoding Technologies (ET) has spent the last few years rebuilding the video processing pipeline on our next-generation microservice-based computing platform Cosmos.

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A Dynatrace champions guide to get ahead of digital marketing campaigns

Dynatrace

In my last blog , I’ve provided an example of this happening, whereby the traffic spiked and quadrupled the usual incoming traffic. These are all interesting metrics from marketing point of view, and also highly interesting to you as they allow you to engage with the teams that are driving the traffic against your IT-system.

Traffic 264
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Google Analytics and Dynatrace – Why you need both

Dynatrace

In this post, I wanted to share how I use Google Analytics together with Dynatrace to give me a more complete picture of my customers, and their experience across our digital channels. Google Analytics. Almost all marketers will be familiar with Google Analytics. Digital and Business Analytics.

Google 158
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So many bad takes?—?What is there to learn from the Prime Video microservices to monolith story

Adrian Cockcroft

Then they tried to scale it to cope with high traffic and discovered that some of the state transitions in their step functions were too frequent, and they had some overly chatty calls between AWS lambda functions and S3. This is only one of many microservices that make up the Prime Video application. Finally, what were they building?

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Observations on the Importance of Cloud-based Analytics

All Things Distributed

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 111
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Python at Netflix

The Netflix TechBlog

We use Python through the full content lifecycle, from deciding which content to fund all the way to operating the CDN that serves the final video to 148 million members. video streaming) takes place in the Open Connect network. CORE The CORE team uses Python in our alerting and statistical analytical work.

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Edgar: Solving Mysteries Faster with Observability

The Netflix TechBlog

Edgar captures 100% of interesting traces , as opposed to sampling a small fixed percentage of traffic. In one request hitting just ten services, there might be ten different analytics dashboards and ten different log stores. The downside is that we have so many dashboards. As you can imagine, this comes with very real storage costs.

Latency 299