Percona

NOVEMBER 2, 2023

MongoDB is a dynamic database system continually evolving to deliver optimized performance, robust security, and limitless scalability. Our new eBook, “ From Planning to Performance: MongoDB Upgrade Best Practices ,” guides you through the entire process to ensure your database’s long-term success. In MongoDB 6.x:

Best Practices 92

Best Practices Hardware Tuning Scalability 92

SQL Performance

APRIL 27, 2020

Azure SQL Database is Microsoft's database-as-a-service offering that provides a tremendous amount of flexibility. Microsoft is continually working on improving their products and Azure SQL Database is no different. Gen 5 is the primary hardware option now for most regions since Gen 4 is aging out. HyperScale Database.

Azure 55

Azure Database Serverless Hardware 55

Dynatrace

JANUARY 26, 2021

This allows teams to sidestep much of the cost and time associated with managing hardware, platforms, and operating systems on-premises, while also gaining the flexibility to scale rapidly and efficiently. REST APIs, authentication, databases, email, and video processing all have a home on serverless platforms.

Serverless 246

Serverless Efficiency Lambda AWS 246

Percona

MAY 1, 2023

I’ll show you some MySQL settings to tune to get better performance, and cost savings, with AWS RDS. The innodb_io_capacity_max parameter was set to 2000, so the hardware should be able to deliver that many IOPS without major issues. Want to save money on your AWS RDS bill? Get your personalized audit

AWS 124

AWS Hardware Storage Tuning 124

Percona

AUGUST 29, 2018

For optimum performance, a PostgreSQL database depends on the operating system parameters being defined correctly. Poorly configured OS kernel parameters can cause degradation in database server performance. Therefore, it is imperative that these parameters are configured according to the database server and its workload.

Tuning 58

Tuning Database Servers Processing 58

Scalegrid

JANUARY 25, 2024

Redis® is an in-memory database that provides blazingly fast performance. This makes it a compelling alternative to disk-based databases when performance is a concern. Redis returns a big list of database metrics when you run the info command on the Redis shell. This blog post lists the important database metrics to monitor.

Metrics 130

Metrics Monitoring Latency Cache 130

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 107

Cache Hardware Servers Benchmarking 107

Percona

DECEMBER 27, 2023

of respondents are currently utilizing databases in Kubernetes (k8s). These indicators suggest that the adoption of databases on k8s is in its early stages and is likely to continue growing in the future. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic.

Cloud 84

Cloud Open Source Strategy Best Practices 84

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. With real-time observability, teams can easily plan their migration and fine-tune performance as they migrate microservices.

Architecture 244

Architecture Artificial Intelligence Cloud Open Source 244

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

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. To seamlessly switch between CPU and GPU machines, we use Apache MXNet to interface with the underlying hardware. Post-training model tuning and rich states.

Scalability 146

Scalability Hardware AWS Tuning 146

Percona

JANUARY 4, 2024

Managing storage and performance efficiently in your MySQL database is crucial, and general tablespaces offer flexibility in achieving this. Flexible location : Data files can reside within the MySQL data directory or an independent location, enabling finer control over storage management and performance tuning.

Storage 93

Storage Engineering Database Open Source 93

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

Percona

AUGUST 27, 2018

assigning to a specific CPU) is a manageable resource, represented by the concept of “virtual CPU” as a term that includes CPU cores, hyperthreads, hardware threads, and so forth. Then we need to see IF implementing the tuning will work or not. It is possible to do more tuning in the case that ETL is too compromised.

Tuning 46

Tuning Virtualization Testing Servers 46

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

Dynatrace

SEPTEMBER 29, 2021

Container technology is very powerful as small teams can develop and package their application on laptops and then deploy it anywhere into staging or production environments without having to worry about dependencies, configurations, OS, hardware, and so on. The time and effort saved with testing and deployment are a game-changer for DevOps.

Open Source 313

Open Source Traffic DevOps Cloud 313

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

The Netflix TechBlog

AUGUST 30, 2021

Complementing the hardware is the software on the RAE and in the cloud, and bridging the software on both ends is a bi-directional control plane. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

Latency 219

Latency Traffic Transportation Cloud 219

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 110

Open Source Google Artificial Intelligence Infrastructure 110

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

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 93

Open Source Storage Database Big Data 93

SQL Performance

MARCH 17, 2020

Back in 2014, I wrote an article called Performance Tuning the Whole Query Plan. I will be using the 50GB Stack Overflow 2013 database , but any large table with a low number of distinct values would do. The Stack Overflow 2013 database comes without nonclustered indexes to minimize download time. Test Environment. BountyAmount.

Servers 86

Servers Tuning Database Efficiency 86

Percona

AUGUST 5, 2023

Partitioning is a way in which a database (MySQL in this case) splits its actual data down into separate tables but still gets treated as a single table by the SQL layer. As the data is distributed into smaller partitions, the database engine only needs to scan relevant partitions, leading to faster query responses.

Strategy 40

Strategy Storage Database Best Practices 40

Alex Podelko

OCTOBER 20, 2016

System’s configuration is not given anymore and often can’t be easily mapped to hardware. As already mentioned, performance testing is rather a performance engineering process (with tuning, optimization, troubleshooting and fixing multi-user issues) eventually bringing the system to the proper state rather than just testing.

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. As Amazonâ??s

Ecommerce 131

Ecommerce Storage Scalability Database 131

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 136

Availability Performance Scalability AWS 136

SQL Performance

JUNE 21, 2019

This article will expand on my previous article and point out how these apply to SQL Server , Azure SQL Database , and Azure SQL Managed Instance. When looking at backups, I check for recovery model and the current history of backups for each database. Azure SQL Database and Azure Managed Instance have managed backups.

Servers 49

Servers Azure Hardware Database 49

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

Percona

AUGUST 29, 2023

Data redundancy, a database version of a RAID Pondering the case of high availability and redundancy, one replicates data by creating a replica via streaming replication. Depending on the configuration, one can tune a hardware RAID for either performance or redundancy. Extension citus has been created in database db01.

C++ 84

C++ Database Storage Testing 84

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

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. But I'm not completely sure.

Speed 103

Speed Java AWS Virtualization 103

VoltDB

JUNE 19, 2017

With the 5G revolution, operators will need to manage hundreds of edge deployments, and maintain the physical space and hardware to achieve 1ms of latency. Imagine virtual retail environments, where customers browse virtual shelves and products, and converse with customers who share interests and needs.

Latency 40

Latency Retail Virtualization Hardware 40

VoltDB

JUNE 19, 2017

With the 5G revolution, operators will need to manage hundreds of edge deployments, and maintain the physical space and hardware to achieve 1ms of latency. Imagine virtual retail environments, where customers browse virtual shelves and products, and converse with customers who share interests and needs.

Latency 40

Latency Retail Virtualization Hardware 40

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

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 49

Benchmarking Database Operating System Architecture 49

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 Monitoring 40

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