Scalegrid

JULY 13, 2020

Compare ease of use across compatibility, extensions, tuning, operating systems, languages and support providers. Comparison Overview. PostgreSQL offers more light-weight tuning capabilities, like their Query Optimizer, and DBaaS platforms like ScaleGrid offer advanced slow query analysis. Compare Ease of Use. PostgreSQL.

Open Source 244

Open Source Tuning C++ Database 244

All Things Distributed

MARCH 19, 2018

Amazon SageMaker training supports powerful container management mechanisms that include spinning up large numbers of containers on different hardware with fast networking and access to the underlying hardware, such as GPUs. Post-training model tuning and rich states. This can all be done without touching a single line of code.

Scalability 159

Scalability Hardware AWS Tuning 159

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. The Top Queries That Weren't.

Tuning 115

Tuning Servers Monitoring Hardware 115

O'Reilly

SEPTEMBER 19, 2023

Hadoop’s value—being able to crunch large datasets—often paled in comparison to its costs. Doubly so as hardware improved, eating away at the lower end of Hadoop-worthy work. Google goes a step further in offering compute instances with its specialized TPU hardware. The elephant was unstoppable. Until it wasn’t.

Hardware 97

Hardware Storage Big Data Blockchain 97

All Things Distributed

NOVEMBER 30, 2016

Effectively applying AI involves extensive manual effort to develop and tune many different types of machine learning and deep learning algorithms (e.g. automatic speech recognition, natural language understanding, image classification), collect and clean the training data, and train and tune the machine learning models.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

Brendan Gregg

SEPTEMBER 25, 2021

As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. As I'm interested in the relative comparison I can just compare the total runtimes (the "real" time) for the same result. Theory (A) is most likely based on the frame widths in the flame graph.

Speed 126

Speed Java AWS Virtualization 126

Percona

JANUARY 19, 2023

sec) Records: 0 Duplicates: 0 Warnings: 0 mysql> INSERT INTO employees_compressed SELECT * FROM employees; Size comparison: [user1] percona@db1: ~ $ sudo ls -lh /var/lib/mysql/employees/|grep employees -rw-r --. sec) mysql> ALTER TABLE employees_compressed ROW_FORMAT=COMPRESSED; Query OK, 0 rows affected (0.14

Open Source 85

Open Source Storage Database Big Data 85