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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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How to use Server Timing to get backend transparency from your CDN

Speed Curve

Server-timing headers are a key tool in understanding what's happening within that black box of Time to First Byte (TTFB). Cue server-timing headers Historically, when looking at page speed, we've had the tendency to ignore TTFB when trying to optimize the user experience. I mean, why wouldn't we?

Servers 57
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The road to observability with OpenTelemetry demo part 1: Identifying metrics and traces

Dynatrace

When software runs in a monolithic stack on on-site servers, observability is manageable enough. OpenTelemetry demo application: Distributed host/URL availability checker For our demo, we picked a web-based application whose core service is a distributed host/URL availability check.

Metrics 180
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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

Migrating Critical Traffic At Scale with No Downtime — Part 2 Shyam Gala , Javier Fernandez-Ivern , Anup Rokkam Pratap , Devang Shah Picture yourself enthralled by the latest episode of your beloved Netflix series, delighting in an uninterrupted, high-definition streaming experience.

Traffic 279
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Evolution of Netflix Conductor:

The Netflix TechBlog

Adoption As of writing this blog, Conductor orchestrates 600+ workflow definitions owned by 50+ teams across Netflix. The task definition parameter rateLimitFrequencyInSeconds sets the duration window, while rateLimitPerFrequency defines the number of tasks that can be scheduled in a duration window.

Lambda 189
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Safe Updates of Client Applications at Netflix

The Netflix TechBlog

However, Netflix is available for streaming on thousands of types of devices and it is powered by hundreds of micro-services which are deployed independently, making it extremely challenging to comprehensively test internally. Additionally, this gets us closer to consistent metric definitions in both realtime and offline systems.

Metrics 197
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Changing the calculus of containers in the cloud

All Things Distributed

Having a consistent, immutable unit of deployment to work with lets you abstract away all the complexities of configuring your servers and deployment pipelines every time you change your code or want to run your app in a different place. AWS Fargate support for Amazon EKS , the Elastic Kubernetes Service, will be available later in 2018.

Cloud 148