Percona

DECEMBER 11, 2023

A quick configuration change may do the trick in improving the performance of your AWS RDS for MySQL instance. DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. Who can benefit from DLV? and later v10 versions MySQL: 8.0.28

AWS 93

AWS Benchmarking Performance Traffic 93

VoltDB

JUNE 1, 2017

In addition, such custom systems could only be benchmarked once they were deployed, so by the time multiple layers of management had each added a 50% safety margin to the initial SWAG , it was not unusual to see them running at 10% of capacity (but 150% of the lucky hardware salesman’s annual quota). The “Public Private Cloud” folks.

Hardware 56

Hardware Latency Virtualization Cloud 56

All Things Distributed

NOVEMBER 19, 2010

Here are some the links I shared this week on twitter and facebook : Cloud Computing. There were blog posts by Jeff Barr The Cluster GPU Instance and James Hamilton HPC in the Cloud with GPGPUs , as well as my background posting: Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances.

AWS 68

AWS Cloud Benchmarking Storage 68

Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? 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. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

NOVEMBER 25, 2019

In this post, we break down ScyllaDB cloud vs. on-premise deployments, most popular cloud providers, SQL and NoSQL databases used with ScyllaDB, most time-consuming management tasks, and why you should use ScyllaDB vs. Cassandra. ScyllaDB Cloud vs. ScyllaDB On-Premises. Most Popular Cloud Providers for ScyllaDB.

Big Data 187

Big Data Database Open Source Azure 187

VoltDB

JUNE 1, 2017

In addition, such custom systems could only be benchmarked once they were deployed, so by the time multiple layers of management had each added a 50% safety margin to the initial SWAG , it was not unusual to see them running at 10% of capacity (but 150% of the lucky hardware salesman’s annual quota). The “Public Private Cloud” folks.

Hardware 40

Hardware Latency Virtualization Cloud 40

Percona

JULY 1, 2023

Now that Database-as-a-service (DBaaS) is in high demand, there are multiple questions regarding AWS services that cannot always be answered easily: When should I use Aurora and when should I use RDS MySQL ? Amazon Aurora is a proprietary, cloud-native, fully managed relational database service developed by Amazon Web Services (AWS).

AWS 52

AWS Database Serverless Storage 52

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. I love short benchmarks like this as I can disassemble the resulting binary and ensure that the compiled instructions match my expectations, and the compiler hasen't messed with it. ## 6. include <sys/time.h>

Speed 126

Speed Java AWS Virtualization 126

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

Adrian Cockcroft

JANUARY 20, 2023

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 petaflops, which is 0.8% of peak capacity.

Architecture 52

Architecture Latency Benchmarking AWS 52

n0derunner

MAY 27, 2022

The performance compares very well with hosted cloud database instances using the same class of processor (db.r5.4xlarge in the figure below). tl;dr A Nutanix cluster can persist a replicated write across two nodes in around 250 uSec which is critical for single-threaded DB write workloads.

Performance 52

Performance Metrics Database Cloud 52

Brendan Gregg

SEPTEMBER 25, 2021

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. I love short benchmarks like this as I can disassemble the resulting binary and ensure that the compiled instructions match my expectations, and the compiler hasen't messed with it. If you know they did, please drop a comment.

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%. I love short benchmarks like this as I can disassemble the resulting binary and ensure that the compiled instructions match my expectations, and the compiler hasen't messed with it. ## 7. include <sys/time.h>

Speed 40

Speed Java AWS Virtualization 40

High Scalability

DECEMBER 3, 2019

By having appropriate indexes on your MySQL tables, you can greatly enhance the performance of SELECT queries. But, did you know that adding indexes to your tables in itself is an expensive operation, and may take a long time to complete depending on the size of your tables?

Best Practices 21

Best Practices Performance Systems Processing 21

Smashing Magazine

JANUARY 11, 2021

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Estimated Input Latency tells us if we are hitting that threshold, and ideally, it should be below 50ms. Designed for the modern web, it responds to actual congestion, rather than packet loss like TCP does, it is significantly faster , with higher throughput and lower latency — and the algorithm works differently.

Performance 145

Performance Cache Network Metrics 145