All Things Distributed

MARCH 19, 2018

At AWS, we continue to strive to enable builders to build cutting-edge technologies faster in a secure, reliable, and scalable fashion. While building Amazon SageMaker and applying it for large-scale machine learning problems, we realized that scalability is one of the key aspects that we need to focus on.

Scalability 159

Scalability Hardware AWS Tuning 159

Percona

JANUARY 4, 2024

Flexible location : Data files can reside within the MySQL data directory or an independent location, enabling finer control over storage management and performance tuning. Balancing I/O load: Distribute tables across multiple general tablespaces located on different disks to avoid I/O bottlenecks and improve query execution speed.

Storage 86

Storage Engineering Database Hardware 86

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. driver: intel_pstate CPUs which run at the same hardware frequency: 0 . hardware limits: 1000 MHz - 3.80 hardware limits: 1000 MHz - 3.80 current CPU frequency: Unable to call hardware .

Best Practices 40

Best Practices Scalability Performance C++ 40

Dynatrace

OCTOBER 22, 2019

This is why threads are often the source of scalability as well as performance issues. Use case #1: Identify scalability issues. A scalable architecture needs to distribute work across many threads in order to facilitate all the CPUs of a physical or virtual machine. Dynatrace news.

Java 103

Java Scalability Hardware Architecture 103

Percona

AUGUST 5, 2023

Each partition holds data that falls within a specific range, optimizing data handling and query speed. This version also notably integrates native backing for range and list partitioning of spatial indexes, amplifying geospatial query speed for substantial datasets. Additionally, MySQL 8.0 Documentation : Always be documenting!

Strategy 40

Strategy Storage Database Best Practices 40

Dynatrace

OCTOBER 26, 2020

Christian Inzko , Performance Engineer out of our Klagenfurt Lab, is running a lot of performance tests to validate performance and scalability of our Dynatrace clusters. So stay tuned. If you want to replicate Christians work – here are the software and hardware specs: Hardware. Goal: sending metrics to Dynatrace.

Innovation 154

Innovation Metrics Hardware Games 154

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

HammerDB

OCTOBER 18, 2019

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

SQL Server According to Bob

JANUARY 11, 2020

ReadFile WriteFile ReadFileScatter WriteFileGather GetOverlappedResult ​​ For extended details on the 823 error, see ​​ Error message 823 may indicate hardware problems or system problems ​​ ( [link] i crosoft.com/default.aspx?scid=kb ​​ Contact your hardware manufacture for assistance.

Servers 40

Servers Cache Database Media 40

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. We had used other databases like Berkeley DB, Lucene, Cassandra in past but we migrated over time all of them to MySQL because of its engineer/ops familiarity and scalability.

Architecture 52

Architecture Cache Azure Storage 52