SQL Performance

JANUARY 23, 2020

Tom Davidson, Opening Microsoft's Performance-Tuning Toolbox SQL Server Pro Magazine, December 2003. Waits and Queues has been used as a SQL Server performance tuning methodology since Tom Davidson published the above article as well as the well-known SQL Server 2005 Waits and Queues whitepaper in 2006.

Tuning 115

Tuning Servers Monitoring Hardware 115

Scalegrid

JANUARY 8, 2024

Understanding Multi-Cloud and Hybrid Cloud Cloud computing has revolutionized the IT industry, offering a host of advantages including cost-effectiveness, increased agility, and access to cutting-edge hardware. What is the primary benefit of multi-cloud solutions in comparison to hybrid cloud solutions? But what do these entail?

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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

Percona

JANUARY 19, 2023

Some startups adopted MySQL in its early days such as Facebook, Uber, Pinterest, and many more, which are now big and successful companies that prove that MySQL can run on large databases and on heavily used sites. This can help to split large data sets into smaller ones stored in multiple servers.

Open Source 90

Open Source Storage Database Big Data 90

SQL Server According to Bob

JANUARY 11, 2020

Microsoft, ​​ Windows, ​​ Windows NT, ​​ and Windows Server ​​ are registered trademarks of Microsoft Corporation in the United States and/or other countries. The names of actual companies and products mentioned herein may be the trademarks of their respective owners.

Servers 40

Servers Cache Database Media 40

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

ScaleOut Software

APRIL 22, 2020

Maintaining rapidly changing data in back-end databases creates bottlenecks that impact responsiveness. In addition, repeatedly accessing back-end databases to serve up popular items, such as product descriptions and news stories, also adds to the bottleneck. The Solution: Distributed Caching.

Cache 52

Cache Storage Servers Database 52

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. This server is spending about a third of its CPU cycles just checking the time! What on Earth is Ubuntu doing that results in 30% higher CPU time!? us on Ubuntu.

Speed 126

Speed Java AWS Virtualization 126

HammerDB

OCTOBER 12, 2018

Similarly for this guide MySQL can be swapped for a mySQL based databases such as MariaDB. As is also the case this limitation is at the database level (especially the storage engine) rather than the hardware level. As is exactly the same with PostgreSQL for system choice a 2 socket system is optimal for MySQL OLTP performance.

Best Practices 40

Best Practices Scalability Performance C++ 40

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. This server is spending about a third of its CPU cycles just checking the time! What on Earth is Ubuntu doing that results in 30% higher CPU time!? us on Ubuntu.

Speed 52

Speed Java AWS Virtualization 52

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. top(1) showed that only the Cassandra database was consuming CPU. This server is spending about a third of its CPU cycles just checking the time! What on Earth is Ubuntu doing that results in 30% higher CPU time!? us on Ubuntu.

Speed 40

Speed Java AWS Virtualization 40

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. Large preview ). What does it mean?

Performance 145

Performance Cache Network Metrics 145

Percona

JANUARY 17, 2019

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. I will compare AWS Aurora with MySQL (Percona Server) 5.6 For my test, I need to choose: Aurora instance type and comparison. Aurora instance type and comparison. With faster disks (i.e.

Cache 47

Cache C++ AWS Airlines 47

Smashing Magazine

JANUARY 7, 2019

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? Long FMP usually indicates JavaScript blocking the main thread, but could be related to back-end/server issues as well.

Performance 103

Performance Cache Metrics Network 103