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Compression Methods in MongoDB: Snappy vs. Zstd

Percona

In this blog, we will discuss both data and network-level compression offered in MongoDB. We will discuss snappy and zstd for data block and zstd compression in a network. When this data block is read, it decompresses it in memory and presents it to the incoming request. Snappy is a compression library developed by Google.

Storage 108
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Mastering Hybrid Cloud Strategy

Scalegrid

When delving into the networking aspect of a hybrid cloud deployment, complexities arise due to the requirement of linking or expanding existing on-premises network architectures into the cloud sphere. We will examine each of these elements in more detail. It should offer user-friendly operation.

Strategy 130
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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

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Practical API Design at Netflix, Part 1: Using Protobuf FieldMask

The Netflix TechBlog

Remote calls are never free; they impose extra latency, increase probability of an error, and consume network bandwidth. There are a number of utilities and conventions on how to use this message when it is present in an RPC request. FieldMask is a protobuf message.

Design 245
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Extending Vector with eBPF to inspect host and container performance

The Netflix TechBlog

Today we are excited to announce latency heatmaps and improved container support for our on-host monitoring solution?—?Vector?—?to Remotely view real-time process scheduler latency and tcp throughput with Vector and eBPF What is Vector? to the broader community. Vector is open source and in use by multiple companies.

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How Google PageSpeed Works: Improve Your Score and Search Engine Ranking

CSS - Tricks

Now that Google uses page speed as a ranking factor, many organizations have become laser-focused on performance. Last year, Google made two significant changes to their search indexing and ranking algorithms : In March, indexing became based on the mobile version of a page , rather than desktop. What is Google Lighthouse?

Google 71
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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