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Supporting Diverse ML Systems at Netflix

The Netflix TechBlog

The Machine Learning Platform (MLP) team at Netflix provides an entire ecosystem of tools around Metaflow , an open source machine learning infrastructure framework we started, to empower data scientists and machine learning practitioners to build and manage a variety of ML systems.

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HammerDB v4.10 New Features: Purge and Write back for MariaDB TPROC-C

HammerDB

Many of the HammerDB TPROC-C workloads have included features to prevent the database doing maintenance tasks for the previous run whilst another run is taking place. maria_purge = true } With this setting enabled, run your MariaDB TPROC-C workload as normal. Otherwise if you have version 10.7.0 tpcc { maria_count_ware = 30.

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Designing Instagram

High Scalability

The streaming data store makes the system extensible to support other use-cases (e.g. System Components. The system will comprise of several micro-services each performing a separate task. There are two major processes which gets executed when a user posts a photo on Instagram. Streaming Data Model.

Design 334
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Increase your system's observability with OpenTelemetry support in NServiceBus

Particular Software

However, in a message-based system, we no longer have a single call stack. The problem Because message-driven systems are asynchronous and run in multiple processes, debugging is naturally more complex than in a single-process application. Start order process| C[Order saga] C --> |3.

Systems 52
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Analyzing a High Rate of Paging

Brendan Gregg

Problem Statement The microservice managed and processed large files, including encrypting them and then storing them on S3. 1072-aws (xxx) 12/18/2018 _x86_64_ (16 CPU) avg-cpu: %user %nice %system %iowait %steal %idle 5.03 avg-cpu: %user %nice %system %iowait %steal %idle 14.81 Hit Ctrl-C to end. ^C

Cache 105
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Predictive CPU isolation of containers at Netflix

The Netflix TechBlog

Because microprocessors are so fast, computer architecture design has evolved towards adding various levels of caching between compute units and the main memory, in order to hide the latency of bringing the bits to the brains. Its goal is to assign running processes to time slices of the CPU in a “fair” way. Linux to the rescue?

Cache 251
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Compress objects, not cache lines: an object-based compressed memory hierarchy

The Morning Paper

Compress objects, not cache lines: an object-based compressed memory hierarchy Tsai & Sanchez, ASPLOS’19. Existing cache and main memory compression techniques compress data in small fixed-size blocks, typically cache lines. ” The big idea. What about arrays?

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