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Hawkins: Diving into the Reasoning Behind our Design System

The Netflix TechBlog

Stranger Things imagery showcasing the inspiration for the Hawkins Design System by Hawkins team member Joshua Godi ; with art contributions by Wiki Chaves Hawkins may be the name of a fictional town in Indiana, most widely known as the backdrop for one of Netflix’s most popular TV series “Stranger Things,” but the name is so much more.

Design 230
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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Behind the scenes, a myriad of systems and services are involved in orchestrating the product experience. These backend systems are consistently being evolved and optimized to meet and exceed customer and product expectations. This is particularly important for complex APIs that have many high cardinality inputs.

Traffic 339
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What they don't tell you about migrating a message-based system to the cloud

Particular Software

Migrating a message-based system from on-premises to the cloud is a colossal undertaking. If you search for “how to migrate to the cloud”, there are reams of articles that encourage you to understand your system, evaluate cloud providers, choose the right messaging service, and manage security and compliance.

Cloud 126
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Building High-Quality Software

DZone

It sits at the very beginning of the process before the code is written and can save an immense amount of time down the road (of somebody spending tons of time just to get to a dead-end). I really like what one of the smartest people with whom I worked said: “A good design is a design where you can see the code”. Important note.

Software 245
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Demystifying Interviewing for Backend Engineers @ Netflix

The Netflix TechBlog

You study and practice coding interview problems for hours/days/weeks/months, only to be asked to merge two sorted lists. 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. These questions reflect actual challenges that our teams face.

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Understanding, detecting and localizing partial failures in large system software

The Morning Paper

Understanding, detecting and localizing partial failures in large system software , Lou et al., Partial failures ( gray failures ) occur when some but not all of the functionalities of a system are broken. Here are the key findings: Partial failures appear throughout the release history of each system, 54% within the last three years.

Systems 98
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Service level objectives: 5 SLOs to get started

Dynatrace

More than half of CIOs confirmed that they often make tradeoffs among code quality, security, and reliability to meet the need for rapid software delivery. It represents the percentage of time a system or service is expected to be accessible and functioning correctly. But the pressure on CIOs to innovate faster comes at a cost.

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