The Morning Paper

MAY 12, 2019

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

Open Source 61

Open Source Hardware Benchmarking Systems 61

Brendan Gregg

FEBRUARY 9, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Another factor is at play that would require additional PMCs to analyze, however, this target is an m4.16xl where PMCs are restricted to the architectural set. Hit Ctrl-C to end.

Performance 75

Performance Benchmarking Cache Tuning 75

Percona

AUGUST 30, 2018

Let’s examine the TPC-C Benchmark from this point of view, or more specifically its implementation in Sysbench. The illustrations below are taken from Percona Monitoring and Management (PMM) while running this benchmark. Analyzing read/write workload by counts. Analyzing Read/Write Workload by Response Time.

Benchmarking 47

Benchmarking Database Operating System Architecture 47

HammerDB

OCTOBER 12, 2018

This post complements the previous best practice guides this time with the focus on MySQL and MariaDB and achieving top levels of performance with the HammerDB MySQL TPC-C test. SELECT DISTINCT c from sbtest where id between ? order by c. SELECT c from sbtest where id=? Copyright (C) 2003-2018 Steve Shaw.

Best Practices 40

Best Practices Scalability Performance C++ 40

Brendan Gregg

FEBRUARY 8, 2018

I then analyzed performance during the benchmark ([active benchmarking]), and used other benchmarks to confirm findings. Another factor is at play that would require additional PMCs to analyze, however, this target is an m4.16xl where PMCs are restricted to the architectural set. Hit Ctrl-C to end.

Performance 40

Performance Benchmarking Cache Tuning 40

The Morning Paper

SEPTEMBER 3, 2019

Within a region there is a local input log maintained across multiple servers using Paxos. When data for single home transactions is processed within a region, SLOG works similarly to Calvin with data partitioned across servers. in the paper for details on how migrations are made safe). Let’s make a plan. Multi-home transactions.

Latency 70

Latency Processing Benchmarking Systems 70

Alex Russell

MAY 9, 2022

Teams adopting the [frameworks that are most popular among the "in" crowd]([link] are less reliably delivering acceptably fast sites versus the previous generation of web architectures.[^your-ecommerce-site-is-not-an-spa] This blindspot usually extends up to the C-suite. but against what baseline? Photo by Launde Morel.

Performance 86

Performance Latency Metrics Engineering 86

Percona

NOVEMBER 3, 2023

PostgreSQL Cluster One coordinator node citus-coord-01 Three worker nodes citus1 citus2 citus3 Hardware AWS Instance Ubuntu Server 20.04, SSD volume type 64-bit (x86) c5.xlarge And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 107

Database Benchmarking Latency C++ 107

Smashing Magazine

JUNE 1, 2022

These services use requests to external hosts (not servers you control) to deliver JavaScript framework libraries, custom fonts, advertising content, marketing analytics trackers, and more. They are more of a benchmark than a true measurement of real user experience. You’ve thought of everything… or have you?

Website 131

Website Design Network Best Practices 131

High Scalability

NOVEMBER 25, 2019

Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Application Servers. Apache FTP server.

Architecture 52

Architecture Cache Azure Storage 52

Smashing Magazine

JANUARY 11, 2021

Defining The Environment Choosing a framework, baseline performance cost, Webpack, dependencies, CDN, front-end architecture, CSR, SSR, CSR + SSR, static rendering, prerendering, PRPL pattern. In the end, it’s not the load events or server response times that define the experience, but the perception of how snappy the interface feels.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Is it worth exploring tree-shaking, scope hoisting, code-splitting, and all the fancy loading patterns with intersection observer, server push, clients hints, HTTP/2, service workers and — oh my — edge workers? It used to provide an insight into how quickly the server outputs any data. What does it mean?

Performance 145

Performance Cache Network Metrics 145