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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

While this is a relatively stream-lined process, it is not as efficient if a candidate is interested in or qualified for multiple roles within the organization. For many roles, you will be given a choice between a take-home coding exercise or a one-hour discussion with one of the engineers from the team.

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Seven benefits of AIOps to transform your business operations

Dynatrace

In fact, according to a Forrester Consulting report , implementing an AIOps approach that provides proactive visibility helped companies improve operational efficiency and reduce false-positive alerts by 95%. Increased business innovation. For example: Greater IT staff efficiency. million per year by automating key processes.

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AIOps observability adoption ascends in healthcare

Dynatrace

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

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Service level objectives: 5 SLOs to get started

Dynatrace

But the pressure on CIOs to innovate faster comes at a cost. 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. Thus, an ApDex score of 0.85 or above for the checkout process.

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

Dynatrace

But the pressure on CIOs to innovate faster comes at a cost. 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. or above for the checkout process.

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Interpreting A/B test results: false negatives and power

The Netflix TechBlog

Martin Tingley with Wenjing Zheng , Simon Ejdemyr , Stephanie Lane , and Colin McFarland This is the fourth post in a multi-part series on how Netflix uses A/B tests to inform decisions and continuously innovate on our products. Need to catch up? Have a look at Part 1 (Decision Making at Netflix), Part 2 (What is an A/B Test?),

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Keeping Customers Streaming?—?The Centralized Site Reliability Practice at Netflix

The Netflix TechBlog

Whether it’s a compelling new series or an innovative product feature, we strive to provide a best-in-class service that people love and can enjoy anytime, anywhere. By being a separate and central team, we can more efficiently share learnings across the larger engineering organization and more easily consult with teams on an ad hoc basis.