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Mastering Disk Space Management with MongoDB® Storage Engines

Scalegrid

In-Memory Storage Engine, as the name suggests, stores data in memory for faster performance and lower latencies. It uses a filesystem cache and write-ahead log for crash recovery. MongoDB makes use of both the filesystem cache and the WiredTiger internal cache. released in December 2015.

Storage 130
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

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How To Add eBPF Observability To Your Product

Brendan Gregg

biolatency Disk I/O latency histogram heat map. cachestat File system cache statistics line charts. runqlat CPU scheduler latency heat map. Here are the top ten tools you can run and present as a generic BPF observability dashboard, along with suggested visualizations: Tool Shows Visualization. opensnoop Files opened table.

Latency 144
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. Ford, et al., “TCP

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Trade-offs under pressure: heuristics and observations of teams resolving internet service outages (Part II)

The Morning Paper

Trade-offs under pressure: heuristics and observations of teams resolving internet service outages , Allspaw, Masters thesis, Lund University 2015. This is part 2 of our look at Allspaw’s 2015 master thesis (here’s part 1 ). 1:06pm reports of the personalised homepage having issues start appearing from multiple sources.

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The Performance Inequality Gap, 2021

Alex Russell

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. The fastest Androids predictably remain 18-24 months behind, owing to cheapskate choices about cache sizing by Qualcomm, Samsung Semi, and all the rest. The Moto G4 , for example.

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DBLog: A Generic Change-Data-Capture Framework

The Netflix TechBlog

This way, log event processing can resume event-by-event afterwards, eventually discovering the watermarks, without ever needing to cache log event entries. Passive instances across regions are also possible, though it is recommended to operate in the same region as the database host in order to keep the change capture latencies low.

Database 203