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 90

Database Hardware Open Source Strategy 90

Percona

JUNE 22, 2023

We will also discuss related configuration variables to consider that can impact these KPIs, helping you gain a comprehensive understanding of your MySQL server’s performance and efficiency. Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution.

Performance 106

Performance Monitoring Traffic Database 106

Scalegrid

JANUARY 25, 2024

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130

Metrics Monitoring Latency Cache 130

Percona

OCTOBER 18, 2023

Our goal with this post is to equip you with a comprehensive understanding of the steps, best practices, and pros and cons to ensure a smooth — and successful — transition to an open source database environment. Evaluating your hardware requirements is another vital aspect of resource allocation.

Open Source 94

Open Source Database Hardware Strategy 94

Percona

DECEMBER 27, 2023

Consequently, they might miss out on the benefits of integrating security into the SDLC, such as enhanced efficiency, speed, and quality in software delivery. It comprises numerous organizations from various sectors, including software, hardware, nonprofit, public, and academic. You mentioned ‘More Simple Kubernetes’?

Cloud 82

Cloud Open Source Strategy Best Practices 82

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 110

Availability Database Open Source Hardware 110

Percona

AUGUST 5, 2023

Otherwise, the storage engine does a scatter-gather and queries ALL partitions in a UNION that is not concurrent. Various partition types, like RANGE, LIST, HASH, and KEY, are used for specific needs, from range-based data to custom criteria, to ensure efficient data handling and the optimization of queries.

Strategy 40

Strategy Storage Database Best Practices 40

Percona

JULY 26, 2023

MongoDB is a non-relational document database that provides support for JSON-like storage. It is best practice to have an odd number of replica set members to maintain voting quorum. This is more efficient than $regex but needs you to prepare in advance by adding text indexes to your data sets.

Database 81

Database Servers Storage Strategy 81

All Things Distributed

AUGUST 16, 2012

The best practices that we are collecting in the AWS Economics Center are there to help our customers get a total view on their IT cost such that they can accurately compare on-premise and cloud. ; the fact that they are now able to pursue business opportunities much faster at much lower costs points than before. t need them.

AWS 118

AWS Hardware Traffic Best Practices 118

Abhishek Tiwari

JULY 12, 2018

These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center. A data pipeline is a software which runs on hardware. The software is error-prone and hardware failures are inevitable.

Latency 63

Latency Analytics Scalability Engineering 63

Smashing Magazine

JANUARY 15, 2019

how much data does the browser have to download to display your website) and resource usage of the hardware serving and receiving the website. An obvious metric here is CPU usage, but memory usage and other forms of data storage also play their part. These include data transfer (i.e.

Website Performance 73

Website Performance Website Energy Performance 73

SQL Server According to Bob

JANUARY 11, 2020

​​ The storage ​​ space that is required ​​ for the sparse file is only that of the actual bytes written to the file and not the ​​ maximum ​​ file ​​ size.

Servers 40

Servers Cache Database Media 40

Smashing Magazine

JANUARY 7, 2019

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). From Fast By Default: Modern loading best practices by Addy Osmani (Slide 19). From Fast By Default: Modern Loading Best Practices by Addy Osmani (Slides 18, 19).

Performance 103

Performance Cache Metrics Network 103

Smashing Magazine

JANUARY 6, 2020

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing times (we’ll talk about them in detail later). From Fast By Default: Modern loading best practices by Addy Osmani (Slide 19). In exchange, your team gains maintainability and developer efficiency, of course.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 11, 2021

On the other hand, we have hardware constraints on memory and CPU due to JavaScript parsing and execution times (we’ll talk about them in detail later). From Fast By Default: Modern loading best practices by Addy Osmani (Slide 19). Performance budgets should adapt depending on the network conditions for an average mobile device.

Performance 145

Performance Cache Media Metrics 145