Scalegrid

MARCH 28, 2024

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. Redis Revealed: An Overview Redis, a renowned open-source, in-memory remote dictionary server, stands out for its diverse data structures and advanced features. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

The Morning Paper

SEPTEMBER 3, 2019

SLOG: serializable, low-latency, geo-replicated transactions Ren et al., SLOG is another research system motivated by the needs of the application developer (aka, user!). Building correct applications is much easier when the system provides strict serializability guarantees. VLDB’19. Let’s make a plan.

Latency 70

Latency Processing Benchmarking Systems 70

Scalegrid

JULY 29, 2020

However, these must be set up outside the PostgreSQL system, while PgBouncer can offload this to the PostgreSQL server. So, we pitted the two connection poolers head-to-head, using the standard pgbench tool, to see which one provides better transactions per second throughput through a benchmark test. Throughput Benchmark.

Benchmarking 246

Benchmarking Database Performance Testing Availability 246

Brendan Gregg

JUNE 30, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 54

Benchmarking Latency Cache Network 54

The Morning Paper

MARCH 10, 2020

Characterizing, modeling, and benchmarking RocksDB key-value workloads at Facebook , Cao et al., Or in the case of key-value stores, what you benchmark. So if you want to design a system that will offer good real-world performance, it’s really useful to have benchmarks that accurately represent real-world workloads.

Benchmarking 59

Benchmarking Storage Cache Open Source 59

Brendan Gregg

JUNE 29, 2018

These have inspired me to summarize another performance activity: evaluating benchmark accuracy. Accurate benchmarking rewards engineering investment that actually improves performance, but, unfortunately, inaccurate benchmarking is more common. If the benchmark reported 20k ops/sec, you should ask: why not 40k ops/sec?

Benchmarking 40

Benchmarking Latency Cache Network 40

Particular Software

SEPTEMBER 20, 2021

Some will claim that any type of RPC communication ends up being faster (meaning it has lower latency) than any equivalent invocation using asynchronous messaging. But to be fair, we also have to process the messages on the server before we can consider the messaging case to be complete. But the answer isn’t that simple.

Benchmarking 97

Benchmarking Latency Servers Systems 97

Percona

JUNE 22, 2023

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. However, simply deploying a monitoring tool is not enough; you need to know which Key Performance Indicators (KPIs) to monitor to gain insights into your MySQL server’s health and performance.

Performance 102

Performance Monitoring Traffic Database 102

Scalegrid

JANUARY 12, 2024

Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. Such demanding use cases place a great value on systems capable of fast and reliable execution, a need that spans across various industry segments.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Percona

APRIL 7, 2023

If we were to select the most important MySQL setting, if we were given a freshly installed MySQL or Percona Server for MySQL and could only tune a single MySQL variable, which one would it be? Sysbench ran on a third server, which I’ll refer to as the application server (APP).

Tuning 134

Tuning Cache Servers Benchmarking 134

The Netflix TechBlog

SEPTEMBER 2, 2020

Edgar helps Netflix teams troubleshoot distributed systems efficiently with the help of a summarized presentation of request tracing, logs, analysis, and metadata. The more complex a system, the more places to look for clues. In an earlier blog post, we discussed Telltale , our health monitoring system. What is Edgar?

Latency 296

Latency Transportation Engineering Traffic 296

Dynatrace

JUNE 27, 2022

However, not all user monitoring systems are created equal. Data collected on page load events, for example, can include navigation start (when performance begins to be measured), request start (right before the user makes a request from the server), and speed index metrics (measure page load speed). What is real user monitoring?

Best Practices 180

Best Practices Monitoring Wireless Traffic 180

The Morning Paper

NOVEMBER 8, 2020

While ultimately this new system should be able to take advantage of the latest advances in consensus for improved performance, that’s not realistic given a 6-9 month in-production target. It’s such a powerful idea that I can imagine distributed systems implementers everywhere adopting it from now on. What does the VirtualLog give us?

Virtualization 126

Virtualization Latency Storage Systems 126

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Some servers may need a few GBs of RAM, while others may need hundreds of GBs or even terabytes of RAM. Benchmark before you decide.

Performance 123

Performance Hardware Tuning Storage 123

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. This server is spending about a third of its CPU cycles just checking the time! Microbenchmark os::javaTimeMillis() on both systems.

Speed 126

Speed Java AWS Virtualization 126

Percona

JANUARY 24, 2023

This will be clearly visible in PostgreSQL performance benchmarks as a “ Sawtooth wave ” pattern observed by Vadim in his tests: As we can see, the throughput suddenly drops after every checkpoint due to heavy WAL writing and gradually picks up until the next checkpoint. But this comes with a considerable performance implication.

Database 115

Database Benchmarking Open Source Latency 115

HammerDB

NOVEMBER 5, 2018

If you are new to running Oracle, SQL Server, MySQL and PostgreSQL TPC-C workloads with HammerDB and have needed to investigate I/O performance the chances are that you have experienced waits on writing to the Redo, Transaction Log or WAL depending on the database you are testing. SQL> alter system flush buffer_cache; System altered.

Benchmarking 40

Benchmarking Database C++ Virtualization 40

HammerDB

DECEMBER 5, 2020

The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput.

C++ 40

C++ Benchmarking Virtualization Open Source 40

SQL Server According to Bob

JANUARY 11, 2020

Microsoft SQL Server I/O Basics Author: ​​ Bob Dorr, Microsoft SQL Server Escalation Published: ​​ December, 2004 SUMMARY: ​​ Learn the I/O requirements for Microsoft SQL Server database file operations. This will help you increase system performance and avoid I/O environment errors.

Servers 40

Servers Cache Media Hardware 40

Alex Russell

MAY 9, 2022

This is a complex topic, but to borrow from a recent post , web performance expands access to information and services by reducing latency and variance across interactions in a session, with a particular focus on the tail of the distribution (P75+). Only teams that master their systems can make intentional trade-offs.

Performance 86

Performance Latency Metrics Engineering 86

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. This server is spending about a third of its CPU cycles just checking the time! Microbenchmark os::javaTimeMillis() on both systems.

Speed 52

Speed Java AWS Virtualization 52

Smashing Magazine

SEPTEMBER 28, 2022

The resource loading waterfall is a cascade of files downloaded from the network server to the client to load your website from start to finish. On your first try, you can use it as a benchmark for optimizations later. On design systems, UX, web performance and CSS/JS. Client Side Rendering, Server Side Rendering And Jamstack.

Cache 126

Cache Performance Servers Social Media 126

Percona

SEPTEMBER 1, 2023

This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. Reduced Resource Usage Optimizing resource-intensive queries and configurations can lead to a reduced burden on your server. A finely tuned database processes queries more efficiently, leading to swifter results.

Tuning 52

Tuning Database Performance Hardware 52

SQL Server According to Bob

JANUARY 11, 2020

​​ Without limiting the rights under copyright, no part of this document may be reproduced, stored in or introduced into a retrieval system, or transmitted in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise), or for any purpose, without the express written permission of Microsoft Corporation.

Servers 40

Servers Cache Database Media 40

SQL Performance

APRIL 8, 2019

These AMD EPYC processors have a number of advantages for SQL Server workloads, as I will explain in this article. This 14nm first-generation AMD EPYC 7551 processor has 32 cores and 64 threads, and it works in one or two-socket servers. This makes it a good choice for many SQL Server workloads, especially DW workloads.

Azure 42

Azure Virtualization Storage Benchmarking 42

The Morning Paper

MAY 14, 2019

Last time around we looked at the DeathStarBench suite of microservices-based benchmark applications and learned that microservices systems can be especially latency sensitive, and that hotspots can propagate through a microservices architecture in interesting ways. on end-to-end latency) and less than 0.15% on throughput.

Big Data 45

Big Data Cloud Performance Hardware 45

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. This server is spending about a third of its CPU cycles just checking the time! Microbenchmark os::javaTimeMillis() on both systems.

Speed 40

Speed Java AWS Virtualization 40

IO River

NOVEMBER 15, 2023

This involves:Threat Intelligence: Keeping an eye on the latest types of attacks, whether it's a novel form of SQL injection or a new phishing tactic.Internal Audits: Regularly scanning your own system for vulnerabilities. ‍Normally, you input a username and a password, which the system verifies before letting you in.

Traffic 52

Traffic Network Logistics Architecture 52

Percona

JULY 1, 2023

It efficiently manages read and write operations, optimizes data access, and minimizes contention, resulting in high throughput and low latency to ensure that applications perform at their best. Considering a Fully Managed DBaaS Offering For Your Business? If you need to enable Amazon RDS remote access, this article will help you do so.

AWS 52

AWS Database Serverless Storage 52

Alex Russell

MARCH 6, 2021

Using a global ASP as a benchmark can further mislead thanks to the distorting effect of ultra-high-end prices rising while shipment volumes stagnate. Sadly, data on latency is harder to get, even from Google's perch, so progress there is somewhat more difficult to judge. Today, either method returns a similar answer.

Performance 124

Performance Network Cache Metrics 124

IO River

NOVEMBER 2, 2023

This involves:Threat Intelligence: Keeping an eye on the latest types of attacks, whether it's a novel form of SQL injection or a new phishing tactic.Internal Audits: Regularly scanning your own system for vulnerabilities. Normally, you input a username and a password, which the system verifies before letting you in.

Traffic 40

Traffic Network Logistics Architecture 40

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. Tools and CI systems help them monitor progress & prevent regressions. Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. Deciding what benchmark to use for a performance budget is crucial. Global Ground-Truth.

Performance 68

Performance Benchmarking Network Mobile 68

Smashing Magazine

JANUARY 11, 2021

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. It used to provide an insight into how quickly the server outputs any data. This knowledge will give you the best optimization target for ongoing efforts. What does it mean?

Performance 145

Performance Cache Media Metrics 145

HammerDB

OCTOBER 12, 2018

As with the previous guides as an Intel employee (#IAMINTEL) the examples are taken from a MySQL 8 on Linux on Intel system and the approach is the same for whatever system you are testing although some of the settings you see may be different. System Setup: CPU, Memory and I/O Configuration. HammerDB difference from Sysbench.

Best Practices 40

Best Practices Scalability Performance C++ 40

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There was an excellent first benchmarking report of the Cluster GPU Instances by the folks at Cycle Computing - " A Couple More Nails in the Coffin of the Private Compute Cluster " The Top500 supercomputer list. No Server Required - Jekyll & Amazon S3.

AWS 67

AWS Cloud Benchmarking Storage 67

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

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. Unwanted Client Exceptions from AppFabric.

Cache 40

Cache Servers Network Design 40