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MySQL Data Caching Efficiency

Percona

A shared characteristic in most (if not all) databases, be them traditional relational databases like Oracle, MySQL, and PostgreSQL or some kind of NoSQL-style database like MongoDB, is the use of a caching mechanism to keep (a copy of) part of the data in memory. How do you know if your MySQL database caching is operating efficiently?

Cache 107
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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. From chunk encoding to assembly and packaging, the result of each previous processing step must be uploaded to cloud storage and then downloaded by the next processing step.

Cloud 242
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MezzFS?—?Mounting object storage in Netflix’s media processing platform

The Netflix TechBlog

Furthermore, the movie file is very large (often several 100s of GB), and we want to avoid downloading the entire file for each individual video encoder that might be processing only a small segment of the whole movie. Disk Caching? — ? MezzFS can be configured to cache objects on the local disk. Regional caching? —?Netflix

Media 218
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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. Download report now! What is a data lakehouse? Data warehouses.

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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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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

Once we have discovered the Parquet files to be processed, MetaflowDataFrame takes over: it downloads data using Metaflow’s high-throughput S3 client directly to the process’ memory, which often outperforms reading of local files. Recently, we added support for the write path, so tables can be updated as well using the library.

Systems 235
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Improving The Performance Of Wix Websites (Case Study)

Smashing Magazine

In order to create change across our entire organization, we needed to get all the relevant employees, partners, and even customers up to speed about performance quickly and efficiently. In addition, this significantly reduced the amount of JavaScript code that needs to be downloaded by the browser. Creating A Performance Culture.

Website 141