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

The Netflix TechBlog

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Encoding is not a one-time process?—?large We have one file?—?the

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Migrating Critical Traffic At Scale with No Downtime?—?Part 1

The Netflix TechBlog

Replay Traffic Testing Replay traffic refers to production traffic that is cloned and forked over to a different path in the service call graph, allowing us to exercise new/updated systems in a manner that simulates actual production conditions. It helps expose memory leaks, deadlocks, caching issues, and other system issues.

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How to Assess MySQL Performance

HammerDB

Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. Operating System: Ubuntu 22.04

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A Decade of Dynamo: Powering the next wave of high-performance, internet-scale applications

All Things Distributed

In addition, DynamoDB Accelerator (DAX) a fully managed, highly available, in-memory cache further speeds up DynamoDB response times from milliseconds to microseconds and can continue to do so at millions of requests per second. Auto Scaling is on by default for all new tables and indexes.

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A persistent problem: managing pointers in NVM

The Morning Paper

The beauty of persistent memory is that we can use memory layouts for persistent data (with some considerations for volatile caches etc. The eagle-eyed reader will have noticed another feature of this work in that quotation: the aim is to create a global address space that spans nodes and processes. The Twizzler programming model.

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Why the Optimizer Doesn't Use Buffer Pool Knowledge

SQL Performance

Whether the page is dirty or not (a dirty page has changes on it that haven’t yet been written back to durable storage). Index_A has 200,000 pages at its leaf level, and Index_B has 1 million pages at its leaf level, so a complete scan of Index_B requires processing five times more pages. The table has 1 million rows. ) ; GO.

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The Lock Escalation Threshold – Part 3

SQL Performance

The engine processes the row through parent operators before releasing the shared lock prior to locking and reading the next row. When the engine chooses page-level locking granularity, it takes and holds a shared page lock while processing rows on the current page and then releases the lock right before acquiring a lock on the next page.

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