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A Recap of the Data Engineering Open Forum at Netflix

The Netflix TechBlog

This “Enterprise Data Model/Architect Agent” employs generative AI techniques for autonomous enterprise data modeling and architecture. Tulika Bhatt, Senior Data Engineer at Netflix, shared how her team manages impression data at scale.

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Growth Engineering at Netflix- Creating a Scalable Offers Platform

The Netflix TechBlog

In particular, we’ll define plans and offers, review the legacy architecture and some of its shortcomings, and dig into our new architecture and some of its advantages. Let’s take a deeper look at the architecture, protocols, and systems involved. A plan is essentially a set of features with a price.

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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

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Conducting log analysis with an observability platform and full data context

Dynatrace

Causal AI—which brings AI-enabled actionable insights to IT operations—and a data lakehouse, such as Dynatrace Grail , can help break down silos among ITOps, DevSecOps, site reliability engineering, and business analytics teams. Logs are automatically produced and time-stamped documentation of events relevant to cloud architectures.

Analytics 200
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What is DevOps orchestration? And why invest in orchestration tools?

Dynatrace

Monitoring and logging tools that once worked well with earlier IT architectures no longer provide sufficient context and integration to understand the state of complex systems or diagnose and correct security issues. Manually managing and securing multi-cloud environments is no longer practical. Get started with DevOps orchestration.

DevOps 222
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Orchestrating Data/ML Workflows at Scale With Netflix Maestro

The Netflix TechBlog

As Big data and ML became more prevalent and impactful, the scalability, reliability, and usability of the orchestrating ecosystem have increasingly become more important for our data scientists and the company. Motivation Scalability and usability are essential to enable large-scale workflows and support a wide range of use cases.

Java 208
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Designing Instagram

High Scalability

Architecture. We have chosen this NoSQL based solution over relational databases as it provides the scalability to have hierarchies which go beyond two levels and extensibility due to the schema-less behavior of NoSQL data storage. Sending and receiving messages from other users. High Level Design. Streaming Data Model.

Design 334