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Batch vs. Real-Time Processing: Understanding the Differences

DZone

The decision between batch and real-time processing is a critical one, shaping the design, architecture, and success of our data pipelines. Understanding the key distinctions between these two processing paradigms is crucial for organizations to make informed decisions and harness the full potential of their data.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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Data Mesh?—?A Data Movement and Processing Platform @ Netflix

The Netflix TechBlog

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

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

The Netflix TechBlog

When we process a request it is often beneficial to know which fields the caller is interested in and which ones they ignore. 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.

Design 246
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Lower total cost of ownership with improved OneAgent and ActiveGate update process

Dynatrace

” As in the case of regular SaaS services, software updates happen as soon as possible and are designed to go relatively unnoticed in the background. Therefore, regardless if you are a SaaS or Managed customer, we designed the OneAgent update experience to be smooth and automated following the release of each new version.

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Maestro: Netflix’s Workflow Orchestrator

The Netflix TechBlog

What is Maestro Maestro is a general-purpose, horizontally scalable workflow orchestrator designed to manage large-scale workflows such as data pipelines and machine learning model training pipelines. The transition was seamless, and Maestro has met our design goals by handling our ever-growing workloads. increase in executed jobs.

Strategy 255
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Don't rely on end-to-end tests: design for failure instead.

DZone

We typically understand software testing by the everyday definition of the word: making sure a piece of software performs the way it is supposed to in a production-like environment. The first category would fall under integration testing, and you definitely need that. Or is there? with a username and password).

Testing 181