Dynatrace

OCTOBER 2, 2023

Because monolithic applications combine database, client-side interfaces, and server-side application elements in a single executable, they’re difficult to understand, even for their own administrators. Security should be an integral part of each stage of the software delivery lifecycle, from development to monitoring in real time.

Architecture 232

Architecture Artificial Intelligence Cloud Open Source 232

Percona

MARCH 27, 2023

On MySQL and Percona Server for MySQL , there is a schema called information_schema (I_S) which provides information about database tables, views, indexes, and more. The percentage in degradation will vary depending on many factors {hardware, workload, number of tables, configuration, etc.}. Results for Percona Server for MySQL 8.0

Cache 105

Cache Hardware Servers Benchmarking 105

Dynatrace

SEPTEMBER 29, 2021

Just like shipping containers revolutionized the transportation industry, Docker containers disrupted software. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. In production, containers are easy to replicate.

Open Source 302

Open Source Traffic DevOps Cloud 302

All Things Distributed

MARCH 19, 2018

Streaming algorithms also natively consume ephemeral data sources such as Amazon Kinesis streams, pipes, database query results, and almost any other data source. By formalizing this concept and facilitating it with software abstractions, we provide checkpointing capabilities and fault resiliency for all algorithms.

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

HammerDB

APRIL 19, 2023

Among the different components of modern software solutions, the database is one of the most critical. There are many times we get asked why some cloud instance performed poorly for their database application and almost always turned out to be some configuration error. TB)) for storage of database tablespaces and logging.

Performance 54

Performance Benchmarking Cache Storage 54

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

The Netflix TechBlog

AUGUST 30, 2021

By Benson Ma , Alok Ahuja Introduction At Netflix, hundreds of different device types, from streaming sticks to smart TVs, are tested every day through automation to ensure that new software releases continue to deliver the quality of the Netflix experience that our customers enjoy.

Latency 213

Latency Traffic Transportation Hardware 213

Percona

APRIL 17, 2023

The main objective of this post is to share my experience over the past years tuning MongoDB and centralize the diverse sources that I crossed in this journey in a unique place. The Linux default is usually 60 , which is not ideal for database usage. Spoiler alert: This post focuses on MongoDB 3.6.X

Best Practices 52

Best Practices Design Tuning Database 52

HammerDB

OCTOBER 18, 2019

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00 current CPU frequency: Unable to call hardware current CPU frequency: 1.00 hardware limits: 1000 MHz - 4.00

Benchmarking 63

Benchmarking Performance Hardware C++ 63

Alex Podelko

OCTOBER 20, 2016

Software as a Service’ (SaaS) basically are centrally managed systems with multiple tenants/instances. System’s configuration is not given anymore and often can’t be easily mapped to hardware. . – New Technologies. Cloud seriously impacts system architectures that has a lot of performance-related consequences.

Performance Testing 100

Performance Testing Architecture Testing Performance 100

All Things Distributed

MARCH 7, 2013

Many of our customers have, with the click of a button, created DynamoDB deployments in a matter of minutes that are able to serve trillions of database requests per year. This allows us to tune both our hardware and our software to ensure that the end-to-end service is both cost-efficient and highly performant.

Ecommerce 139

Ecommerce Storage Scalability Hardware 139

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. Some of them are: MySQL Cluster: MySQL NDB Cluster is an in-memory database clustering solution developed by Oracle for MySQL.

Open Source 91

Open Source Storage Database Big Data 91

All Things Distributed

OCTOBER 8, 2014

The original Dynamo paper inspired many database solutions, which are now popularly referred to as NoSQL databases. These databases trade off complex querying capabilities and consistency for scale and availability. A trend in NoSQL and relational databases is the mainstream adoption of the document model.

Availability 145

Availability Performance Scalability AWS 145

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. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI.

Speed 126

Speed Java AWS Virtualization 126

HammerDB

FEBRUARY 25, 2021

HammerDB is a load testing and benchmarking application for relational databases. All the databases that HammerDB tests implement a form of MVCC (multi-version concurrency control). On high-performance multi-core systems all the supported databases can return performance in the many millions of transactions per minute.

Programming 67

Programming Benchmarking Virtualization C++ 67

O'Reilly Software

APRIL 4, 2018

Google was among the pioneers that created “web scale” architectures to analyze the massive data sets that resulted from “crawling” the web that gave birth to Apache Hadoop, MapReduce, and NoSQL databases. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components.

Architecture 80

Architecture Scalability Google Operating System 80

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

Percona

AUGUST 30, 2018

One of the common ways to classify database workloads is whether it is “read intensive” or “write intensive”. Because recognizing if the workload is read intensive or write intensive will impact your hardware choices, database configuration as well as what techniques you can apply for performance optimization and scalability.

Benchmarking 48

Benchmarking Database Operating System Architecture 48

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

VoltDB

MAY 2, 2017

This has always been a supported configuration of VoltDB database replication. Here’s how we explain it in our Documentation: Support for different cluster sizes in passive Database Replication (DR). because they want to use a lower k- factor (even 0) on the replica cluster to lower hardware costs. Keeping the lights on.

Hardware 40

Hardware Database Servers Tuning 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. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI.

Speed 40

Speed Java AWS Virtualization 40

SQL Server According to Bob

JANUARY 11, 2020

KB sectors run on smaller sectors   14 System and sample databases   15 Determining the formatted sector size of database   15 What sector sizes does SQL Server support? SQL Server 2005 introduces the snapshot database feature for point-in-time databases ​​ and online DBCC operations.

Servers 40

Servers Cache Database Media 40

O'Reilly

NOVEMBER 28, 2023

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. We’ll say more about this later.)

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

OCTOBER 11, 2022

meme originated in IT’s transformation from manual system administration to automated configuration management and software deployment. However, one thing should be obvious: to fill a prescription, you need to access many different kinds of data, in many different databases. We’ll see it in banking.

Games 116

Games Healthcare Processing Retail 116

High Scalability

NOVEMBER 25, 2019

Chokepoint : Even sharded Berkeley DB was choking under the stress and there was a database crash with recovery taking hours, it had to be replaced. Automate schema management for some remaining databases. Which database do you use? How is your database architected? Cloud Platform. Google cloud. Hosted Data Centers.

Architecture 52

Architecture Cache Azure Storage 52