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Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

The Netflix TechBlog

How can we achieve a similar functionality when designing our gRPC APIs? By default, gRPC uses protobuf as its IDL (interface definition language) and data serialization protocol. This (alongside some other techniques like ZigZag encoding for signed types) makes protobuf messages space-efficient. Field names are not included.

Design 245
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Dynatrace observability is now available for Red Hat OpenShift on the IBM® Power® architecture

Dynatrace

We’re delighted to share that IBM and Dynatrace have joined forces to bring the Dynatrace Operator, along with the comprehensive capabilities of the Dynatrace platform, to Red Hat OpenShift on the IBM Power architecture (ppc64le). Dynatrace webhook server validates Dynakube definitions for correctness.

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The history of Grail: Why you need a data lakehouse

Dynatrace

Grail architectural basics. The aforementioned principles have, of course, a major impact on the overall architecture. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. But what does that mean?

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7 Best Performance Testing Tools to Look Out for in 2021

DZone

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. For example, the gaming app has to present definite actions to bring the right experience. Confirming scalability, dependability, stability, and speed of the app is crucial.

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What is a data lakehouse? Combining data lakes and warehouses for the best of both worlds

Dynatrace

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. This data lands in its original, raw form without requiring schema definition.

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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

Meson was based on a single leader architecture with high availability. We want users to rely on shared templates and reuse their workflow definitions across their team, saving time and effort on creating the same functionality. Figure 1 shows the high-level architecture. With the high growth of workflows in the past few years?

Java 202
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Tips And Tricks For Evaluating UX/UI Designers

Smashing Magazine

Tips And Tricks For Evaluating UX/UI Designers. Tips And Tricks For Evaluating UX/UI Designers. When a company’s digital representation lacks a dedicated UX/UI design team, it can be hard to produce something that stands out from the crowd. That happens when your app/website/system is efficient. Nataliya Sambir.

Design 113