Percona

JUNE 22, 2023

Indexing efficiency Monitoring indexing efficiency in MySQL involves analyzing query performance, using EXPLAIN statements, utilizing performance monitoring tools, reviewing error logs, performing regular index maintenance, and benchmarking/testing. This KPI is also directly related to Query Performance and helps improve it.

Performance 108

Performance Monitoring Traffic Database 108

HammerDB

APRIL 19, 2023

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

Scalegrid

JANUARY 25, 2024

Effective management of memory stores with policies like LRU/LFU proactive monitoring of the replication process and advanced metrics such as cache hit ratio and persistence indicators are crucial for ensuring data integrity and optimizing Redis’s performance. This plays a crucial role in supervising the replication process.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

JANUARY 19, 2023

Example: Creating four simple tables to store strings but using different data types: db1 test> CREATE TABLE tb1 (id int auto_increment primary key, test_text char(200)); Query OK, 0 rows affected (0.11 sec) db1 test> CREATE TABLE tb2 (id int auto_increment primary key, test_text varchar(200)); Query OK, 0 rows affected (0.05

Open Source 93

Open Source Storage Database Big Data 93

The Morning Paper

MAY 27, 2019

Last week we saw the benefits of rethinking memory and pointer models at the hardware level when it came to object storage and compression ( Zippads ). The protections are hardware implemented and cannot be forged in software. At hardware reset the boot code is granted maximally permissive architectural capabilities.

C++ 61

C++ Hardware Virtualization Benchmarking 61

Percona

MAY 1, 2023

Key areas include: Configuration parameter tuning : This tuning involves altering variables such as memory allocation, disk I/O settings, and concurrent connections based on specific hardware and requirements. Throughput: The throughput of an application is directly influenced by the speed at which the database can process and serve queries.

Tuning 52

Tuning Efficiency Database Performance 52

Abhishek Tiwari

DECEMBER 27, 2017

In 2018, a widespread adaptation of Kubernetes for big data processing is anitcipated. faster access to external storage and data locality (I/O, bandwidth). The workloads for both test environments ran on apples-to-apples configurations. Kubernetes has emerged as go to container orchestration platform for data engineering teams.

Big Data 63

Big Data Storage Benchmarking Hardware 63

The Morning Paper

OCTOBER 4, 2020

Three different 5G phones are used, including a ZTE Axon10 Pro with powerful communication (SDX 50 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities together with 256GB of storage. In a web browsing test, 5G only reduced page loading times (PLT) by about 5% compared to 4G. The 5G network is operating at 3.5GHz).

Energy 130

Energy Latency Performance Network 130

Scalegrid

FEBRUARY 1, 2024

However, data loss is always possible due to hardware malfunction, software defects, or other unforeseen circumstances, just like with any computer system. Having MySQL backups for your database can speed up and simplify the recovery process. Therefore, it’s not the ideal choice if there are time or storage limitations.

Best Practices 130

Best Practices Storage Strategy Database 130

The Morning Paper

JANUARY 30, 2020

The current system assumes an application specific regression model is available on the servers which can predict processing time given the current parameters of the job (e.g. These use their regression models to estimate processing time (which will depend on the hardware available, current load, etc.). for the wasm-version.

Mobile 104

Mobile Cloud Latency Games 104

SQL Performance

MARCH 17, 2020

Test Environment. It comes set to SQL Server 2008 compatibility (level 100), but we will start with a more modern setting of SQL Server 2017 (level 140): ALTER DATABASE StackOverflow2013 SET COMPATIBILITY_LEVEL = 140 ; The tests were performed on my laptop using SQL Server 2019 CU 2. The cost threshold for parallelism is set to 50.

Servers 86

Servers Tuning Database Efficiency 86

Percona

AUGUST 30, 2023

In general terms, here are potential trouble spots: Hardware failure: Manufacturing defects, wear and tear, physical damage, and other factors can cause hardware to fail. heat) can damage hardware components and prompt data loss. Human mistakes: Incorrect configuration is an all-too-common cause of hardware and software failure.

Database 93

Database Hardware Open Source Strategy 93

All Things Distributed

AUGUST 16, 2012

An apples to apples comparison of the costs associated with running various usage patterns on-premises and with AWS requires more than a simple comparison of hardware expense versus always-on utility pricing for compute and storage. s ideas are tested in the market. Saving money.

AWS 118

AWS Hardware Traffic Best Practices 118

Abhishek Tiwari

JULY 12, 2018

These data pipelines can process data at petabytes scale and to some extent, their success can be attributed to an army of engineers devoted to build and maintain internal data pipelines. Depending on frameworks, data processing units (a.k.a A data pipeline is a software which runs on hardware.

Latency 63

Latency Analytics Scalability Engineering 63

HammerDB

DECEMBER 5, 2020

A full understanding of why this is important requires some knowledge of the evolution of database hardware and software. Consequently we were getting very similar insights both faster and cheaper meaning we could test orders of magnitude more configurations in the same amount of time generating relative performance ratios.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Adrian Cockcroft

JUNE 21, 2022

I became the Sun UK local specialist in performance and hardware, and as Sun transitioned from a desktop workstation company to sell high end multiprocessor servers I was helping customers find and fix scalability problems. We had specializations in hardware, operating systems, databases, graphics, etc.

Tuning 52

Tuning Benchmarking Engineering C++ 52

All Things Distributed

APRIL 5, 2012

Of course, with as much textual data as we have we are leveraging Lucene/SOLR (a NoSQL solution) for Search and Semantic processing. The best part was that the entire process was what I call Ã?hands Anything that saves time and simplifies processes for employees of a young startup has a positive affect that CAN NOT be overstated.

Innovation 146

Innovation AWS Education Network 146

Percona

OCTOBER 18, 2023

It’s a complex process involving various factors and meticulous planning. Today, we’ll be taking a deep dive into the intricacies of database migration, along with specific solutions to help make the process easier. Evaluating your hardware requirements is another vital aspect of resource allocation.

Open Source 97

Open Source Database Hardware Strategy 97

Percona

MARCH 23, 2023

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. As datasets continue to grow in size, the amount of RAM required to store and process these datasets also increases. Setting oom_score_adj to -800.

Performance 129

Performance Hardware Tuning Storage 129

Percona

MARCH 28, 2023

Journal It’s a process where every write operation gets written (appended) from Memory to a Journal file, AKA transaction log that exists on disk at a specific interval configured using “ journalCommitIntervalMs.” Although both the processes (involving disk) might look the same, they have different purposes.

Hardware 93

Hardware C++ Storage Cache 93

Dynatrace

NOVEMBER 3, 2022

With the significant growth of container management software and services, enterprises need to find ways to simplify the process. CaaS automates the processes of hosting, deploying, and managing container technologies. Process portability. IaaS provides direct access to compute resources such as servers, storage, and networks.

Serverless 216

Serverless Azure Hardware Transportation 216

ACM Sigarch

NOVEMBER 4, 2019

Krste Asanovic from UC Berkeley kicked off the main program sharing his experience on “ Rejuvenating Computer Architecture Research with Open-Source Hardware ”. He ended the keynote with a call to action for open hardware and tools to start the next wave of computing innovation. This year’s MICRO had three inspiring keynote talks.

Hardware 18

Hardware Architecture Programming Innovation 18

O'Reilly

SEPTEMBER 19, 2023

It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” ” (It will be easier to fit in the overhead storage.)

Hardware 99

Hardware Storage Big Data Blockchain 99

Percona

FEBRUARY 24, 2023

Usage reduction is a continuous process. From AWS documentation , Amazon EBS is an easy-to-use, scalable, high-performance block-storage service designed for Amazon EC2. Figure 2: Amazon Elastic Block Storage Running relational or NoSQL databases is one of the use cases where EBS is recommended for.

Cloud 124

Cloud Serverless AWS Storage 124

Testsigma

MAY 3, 2021

What could be the best choice to cut down the costs and gain speed to move the pipeline faster than test automation? From operating systems to versions to hardware specs, mobile devices stand unique even after being billions in number. Test automation in conventional software is straightforward. Variety of Device Settings.

Mobile 77

Mobile Testing Operating System Hardware 77

Brendan Gregg

NOVEMBER 29, 2017

Hardware virtualization for cloud computing has come a long way, improving performance using technologies such as VT-x, SR-IOV, VT-d, NVMe, and APICv. The latest AWS hypervisor, Nitro, uses everything to provide a new hardware-assisted hypervisor that is easy to use and has near bare-metal performance. I'd expect between 0.1%

Virtualization 111

Virtualization AWS Hardware Storage 111

SQL Server According to Bob

DECEMBER 18, 2018

Device level flushing may have an impact on your I/O caching, read ahead or other behaviors of the storage system. Testing shows that by using the Fua bit with the data, write request can reduce the I/O traffic by ~50% for a SQL Server, write-intensive workload. Starting with the Linux 4.18 Starting with the Linux 4.18 4 Socket, TPCC.

Servers 90

Servers Media Cache Storage 90

Apica

AUGUST 12, 2020

One of the best conversations from the event was a discussion on the five challenges enterprises need to know about testing and monitoring. Below are the five challenges we discussed regarding testing and monitoring. Finally, scalability regarding effectively consuming results from testing. Scalability. Monitoring Costs.

Monitoring 52

Monitoring Testing Scalability Hardware 52

Percona

NOVEMBER 1, 2023

MySQL backups play a pivotal role in safeguarding the integrity of your data, providing defense against various unforeseen calamities, hardware malfunctions, data loss, corruption, and inadvertent deletions. Encryption Backups have sensitive data, so it’s highly recommended to encrypt, especially for offsite storage.

Best Practices 81

Best Practices Storage Strategy Database 81

Dynatrace

NOVEMBER 15, 2021

Logs can include data about user inputs, system processes, and hardware states. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. As with any database, developers and DBAs working with MongoDB should look at how to optimize the performance of their database, especially nowadays with cloud services, where each byte processed, transmitted, and stored costs money.

Database 83

Database Servers Storage Strategy 83

Percona

JULY 7, 2023

Also, in general terms, a high availability PostgreSQL solution must cover four key areas: Infrastructure: This is the physical or virtual hardware database systems rely on to run. Can you afford the necessary hardware, software, and operational costs of maintaining a PostgreSQL HA solution? there cannot be high availability.

Availability 87

Availability Open Source Architecture Database 87

Percona

JUNE 22, 2023

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. If a primary server fails, a backup server can take over and continue to serve requests.

Availability 112

Availability Database Open Source Hardware 112

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. This method distributes data evenly across partitions to achieve balanced storage and optimal query performance. You want to ensure that table lookups go to the correct partition or group of partitions.

Strategy 40

Strategy Storage Database Best Practices 40

HammerDB

JUNE 27, 2022

It enables the user to measure database performance and make comparative judgements about database hardware and software. The Transaction Processing Performance Council (TPC) was founded to bring standards to database benchmarking, and the history of the TPC can be found here. Why HammerDB was developed. HammerDB development.

Benchmarking 62

Benchmarking Open Source C++ Cache 62

Percona

DECEMBER 14, 2022

I was pretty optimistic that I’d truly have impressive numbers to share but as it turns out, while there is a potential for significant advantage, a detailed testing regime of the CITUS columnar store extension should be carried out before implementing them into your own environment. The missing sizzle. consolidation (roll-up). drill-down.

Database 93

Database Analytics Storage Processing 93

All Things Distributed

MARCH 11, 2016

This is a given, whether you are using the highest quality hardware or lowest cost components. This becomes an even more important lesson at scale: for example, as S3 processes trillions and trillions of storage transactions, anything that has even the slightest probability of error will become realistic. APIs are forever.

AWS 144

AWS Hardware Retail Virtualization 144