Remove Cache Remove Document Remove Efficiency
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

It allows users to choose between different counting modes, such as Best-Effort or Eventually Consistent , while considering the documented trade-offs of each option. Best Effort Regional Counter This type of counter is powered by EVCache , Netflix’s distributed caching solution built on the widely popular Memcached.

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Elasticsearch Indexing Strategy in Asset Management Platform (AMP)

The Netflix TechBlog

It provides simple APIs for creating indices, indexing or searching documents, which makes it easy to integrate. Mapping is used to define how documents and their fields are supposed to be stored and indexed. All the assets of a specific type use the specific index defined for that asset type to create or update the asset document.

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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

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AWS serverless services: Exploring your options

Dynatrace

Using a FaaS model makes it possible to scale up individual application functions as needed rather than increase total resource allocation for your entire application, which helps reduce total resource costs and improve overall app efficiency. AWS serverless offerings. Data Store. AWS offers four serverless offerings for storage.

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ABAC on SpiceDB: Enabling Netflix’s Complex Identity Types

The Netflix TechBlog

Netflix is always looking for security, ergonomic, or efficiency improvements, and this extends to authorization tools. At authZ check time, provide the attributes for the identity to check, e.g. “can app bar in us-west-2 access this document.” A cleanup process to prune stale relationships from the database.

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Introducing Netflix TimeSeries Data Abstraction Layer

The Netflix TechBlog

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. Let’s dive into the various aspects of this abstraction.

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Seamlessly Swapping the API backend of the Netflix Android app

The Netflix TechBlog

This allows the app to query a list of “paths” in each HTTP request, and get specially formatted JSON (jsonGraph) that we use to cache the data and hydrate the UI. You can find a lot more details about how this works in the Spinnaker canaries documentation. This meant that data that was static (e.g.

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