1 / 2Latency: Reduce Delay in Software Systems
Latency: Reduce Delay in Software Systems is a technical book about measuring and reducing delay across software systems. Its listed topics include a Rust benchmark harness, data colocation and partitioning, caching, and operating-system, database and network considerations.
At a glance
- Covers latency concepts and setting performance targets.
- Describes building a benchmark harness in Rust to capture and compare microsecond-level measurements.
- Discusses data colocation, partitioning and caching as ways to address delay and round-trips.
- Takes a cross-stack view spanning operating systems, databases and networks.
Reference price: £45.99
Price checked: 14 Nov 2026
View offerAhead of Black FridayExplore the selectionPros and cons
Pros
- Connects measurement and latency concepts with practical topics including benchmarking, data layout and caching.
- The listing positions it for backend and distributed-systems developers, as well as performance-minded team leads.
Technical specifications
9 specifications| Publisher | Manning Publications |
|---|---|
| Publication date | 20 Nov. 2025 |
| Edition | 1st |
| Language | English |
| Print length | 264 pages |
| ISBN-10 | 1633438082 |
| ISBN-13 | 978-1633438088 |
| Dimensions | 18.73 x 1.78 x 23.5 cm |
|---|---|
| Weight listed | 419 g |
Who is it for?
A good fit for
- Backend developers working on response times and API performance.
- Distributed-systems engineers interested in measuring latency across system layers.
- Technical leads who need a structured basis for performance discussions and decisions.
Less suited to
- Readers seeking a general introduction to programming rather than software performance.
- Readers who need a book in a language other than English.

Customer reviews on Amazon
- 5 stars
42% 42% - 4 stars
44% 44% - 3 stars
0% 0% - 2 stars
14% 14% - 1 star
0% 0%
Only aggregate ratings are supplied, with a small number of ratings overall. The distribution leans towards four- and five-star responses but includes some two-star ratings, so it suggests a generally favourable yet not uniform reception. Ratings alone do not explain the reasons or establish how well the book’s Rust and systems-performance material will suit a particular reader.
Frequently asked questions
What topics does this book cover?
The listing describes latency fundamentals and targets, a Rust benchmark harness, data colocation and partitioning, caching, and issues across operating systems, databases and networks.
Is Rust experience needed?
The listing describes Rust-driven examples and says the intended readers are comfortable with Rust or similar languages. It does not specify a required level of experience.
Who is the book aimed at?
It is presented for backend and distributed-systems developers and performance-minded team leads.
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