Scalegrid

DECEMBER 6, 2023

In the digital age, data management has transformed from locally hosted servers to cloud solutions. All the tedious tasks such as storage, backups, and configuration are managed by an attentive crew so that you can concentrate on making your vacation special. Make sure to read our extensive article on DBaaS Pros and Cons !

Database 130

Database Cloud Hardware Storage 130

HammerDB

JANUARY 5, 2019

Some opinions claim that “Benchmarks are meaningless”, “benchmarks are irrelevant” or “benchmarks are nothing like your real applications” However for others “Benchmarks matter,” as they “account for the processing architecture and speed, memory, storage subsystems and the database engine.”

Benchmarking 40

Benchmarking Database Social Media Scalability 40

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 137

Tuning Cache Servers Benchmarking 137

Percona

JUNE 22, 2023

Load balancing : Requests are evenly distributed across multiple database servers, ensuring the system remains operational even if one server fails. Automated failover : To keep the database operational and minimize downtime, it automatically switches to a backup server if the primary server fails.

Availability 110

Availability Database Open Source Hardware 110

Particular Software

SEPTEMBER 20, 2021

Why RPC is “faster” It’s tempting to simply write a micro-benchmark test where we issue 1000 requests to a server over HTTP and then repeat the same test with asynchronous messages. But to be fair, we also have to process the messages on the server before we can consider the messaging case to be complete.

Benchmarking 97

Benchmarking Latency Servers Systems 97

Percona

JULY 1, 2023

Multi-Availability Zone (AZ) Deployment Aurora’s Multi-Availability Zone (AZ) deployment offers remarkably high availability and fault tolerance by automatically replicating data across multiple availability zones using its distributed storage architecture to eliminate single points of failure. RDS MySQL is 5.5,

AWS 52

AWS Database Serverless Storage 52

Percona

AUGUST 22, 2023

We’ll also look at the differences, as it’s important to know what architecture(s) will help you best meet your unique requirements for maximizing data assets and achieving continuous uptime. Load balancing: Traffic is distributed across multiple servers to prevent any one component from becoming overloaded.

Availability 80

Availability Hardware Open Source Database 80

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 118

Database Benchmarking Open Source Latency 118

SQL Performance

AUGUST 27, 2019

On August 7, 2019, AMD finally unveiled their new 7nm EPYC 7002 Series of server processors, formerly code-named "Rome" at the AMD EPYC Horizon Event in San Francisco. This is the second generation EPYC server processor that uses the same Zen 2 architecture as the AMD Ryzen 3000 Series desktop processors.

Servers 52

Servers Benchmarking Virtualization Architecture 52

The Netflix TechBlog

SEPTEMBER 2, 2020

While this abundance of dashboards and information is by no means unique to Netflix, it certainly holds true within our microservices architecture. A span: Represents a unit of work, such as a network call from one service to another (a client/server relationship) or a purely internal action (e.g., starting and finishing a method).

Latency 296

Latency Transportation Engineering Traffic 296

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

SQL Server According to Bob

SEPTEMBER 26, 2016

When we released Always On Availability Groups in SQL Server 2012 as a new and powerful way to achieve high availability, hardware environments included NUMA machines with low-end multi-core processors and SATA and SAN drives for storage (some SSDs). As we moved towards SQL Server 2014, the pace of hardware accelerated.

Availability 40

Availability Servers Hardware Benchmarking 40

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

As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. InnoDB is the storage engine that will deliver the best OLTP throughput and should be chosen for this test. . Error in Virtual User 1: mysqlexec/db server: Table 'mysql.proc' doesn't exist. perf special.

Best Practices 40

Best Practices Scalability Performance C++ 40

Alex Russell

OCTOBER 22, 2017

Budgets are scaled to a benchmark network & device. One distinct trend is a belief that a JavaScript framework and Single-Page Architecture (SPA) is a must for PWA development. Late-loading JavaScript can cause “server-side rendered” pages to fail in infuriating ways. What’s going on here?

Performance 68

Performance Benchmarking Network Mobile 68

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. 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. The Moto G4 , for example.

Performance 124

Performance Network Cache Metrics 124

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

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. In a recent customer engagement, the application needed to load 10M objects into each server of the IMDG’s cluster to make full use of high-end servers with 60GB memory capacity.

Cache 40

Cache Servers Network Design 40

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. 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.

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