Percona

SEPTEMBER 1, 2023

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This not only enhances performance but also enables you to make more efficient use of your hardware resources, potentially resulting in cost savings on infrastructure.

Tuning 52

Tuning Database Performance Hardware 52

Scalegrid

DECEMBER 21, 2023

Buckle up as we delve into the world of Redis® monitoring, exploring the most important Redis® metrics, discussing essential tools, and even peering into the future of Redis® performance management. Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring.

Strategy 130

Strategy Monitoring Latency DevOps 130

CSS Wizardry

OCTOBER 27, 2018

Simply knowing the different forms of performance testing that we have available to us, and where they sit in the product development process, makes it much easier for businesses to adopt a performance strategy and keep on top of things. Do changes in performance correlate to changes in business metrics?

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Dotcom-Montior

NOVEMBER 27, 2018

Design your test without the hassle of managing hardware, giving you the ability to identify objectives and define a scenario by setting up a number of users and test duration. Use baseline metrics to identify performance degradation by reviewing elements provided by waterfall charts.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

KeyCDN

JANUARY 23, 2020

Developers use APM as part of a broader strategy to ensure certain goals are met while RUM is a more narrow tool to support that strategy. A wide range of users with different operating systems, browsers, hardware configurations and other variables provides a wide sample size that helps developers discover as many issues as possible.

Strategy 72

Strategy Metrics Monitoring Servers 72

Smashing Magazine

OCTOBER 27, 2021

Nowadays, hardware and software are designed to conduct eye-tracking studies for marketing , UX , psychological and medical research , gaming , and several other use cases. The AOI will determine what areas you will calculate metrics for. The metrics and how they will be shown depending on the eye-tracking tool you choose.

Mobile 112

Mobile Website Hardware Social Media 112

Scalegrid

APRIL 16, 2020

In this post, we compare ScaleGrid’s Bring Your Own Cloud (BYOC) plan vs. the standard Dedicated Hosting model to help you determine the best strategy for your MySQL, PostgreSQL, Redis™ and MongoDB® database deployment. What is ScaleGrid’s Bring Your Own Cloud Plan? Where to host your cloud database? Learn more. Database Trends.

Cloud 242

Cloud Azure AWS Database 242

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Rigor

MARCH 20, 2018

Instead of focusing on hardware and infrastructure first, technical teams should first ensure that they first have visibility on the thing that drives the business: their customer experience. I wrote a blog in 2016 that discussed the need for businesses to flip the traditional monitoring investment pyramid on its head.

Monitoring 40

Monitoring Retail Ecommerce Infrastructure 40

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 89

Database Hardware Open Source Strategy 89

Dotcom-Montior

DECEMBER 8, 2021

Software services still require physical devices and hardware for them to function. These tools should be utilized along with your monitoring strategy. OpsGenie also provides features like reporting and analytics so teams can view and track incident response metrics and efficiencies. Asset Management.

Social Media 90

Social Media Monitoring Latency DevOps 90

Dynatrace

MAY 1, 2023

Additionally, ITOA gathers and processes information from applications, services, networks, operating systems, and cloud infrastructure hardware logs in real time. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Define core metrics. Clean data and optimize quality.

Analytics 187

Analytics Artificial Intelligence Big Data Open Source 187

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231

Testsigma

FEBRUARY 12, 2021

It is mostly a metric of quality assurance, but the whole app development team is active in its operations. We have software that communicates with different components, such as APIs, databases, and hardware, and data flows in real-time across many connected devices in the IoT environment (internet of things).

Testing 54

Testing Testing Tools Software Engineering Efficiency 54

Percona

AUGUST 8, 2023

Hardware considerations The first thing we have to consider here is the resources that the underlying host provides to the database. The solution is proactive monitoring using time-lapse metrics monitoring like what you would get with Percona Monitoring and Management (PMM). Let’s take a look at each common resource.

Traffic 90

Traffic Cache Monitoring Database 90

Highly Scalable

AUGUST 20, 2013

Query processing could consist of multiple steps and each step could require its own partitioning strategy, so data shuffling is an operation frequently performed by distributed databases. This strategy is applicable for joining of a large relation with a small relation or two small relations.

Big Data 154

Big Data Processing Lambda Database 154

Speed Curve

MARCH 7, 2022

And we need to have strategies in place to understand and manage our pages. How does page bloat affect other metrics, such as Google's Core Web Vitals? Google's Core Web Vitals are a set of metrics that are intended to focus on measuring performance from a user-experience perspective. How does page bloat hurt your business?

Mobile 145

Mobile Benchmarking Google Metrics 145

Alex Podelko

SEPTEMBER 8, 2020

The tool looked young but promising, and I was looking for a change and a challenge, which is why I joined them along with Quentin to develop the business plan/strategy. You do not need to trouble yourself with datasets, hardware, reporting or any of the usual pain points of JMeter, we’ll do it for you.

Open Source 223

Open Source Performance Testing Testing Performance 223

Percona

NOVEMBER 1, 2023

In this age of digital information, robust backup and recovery strategies are the pillars on which the stability of applications stands. In this blog, we will review all of the potential MySQL backup and restore strategies, the cornerstones of any application. Why Do MySQL Backups Matter?

Best Practices 79

Best Practices Storage Strategy Database 79

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 109

Availability Database Open Source Hardware 109

O'Reilly

OCTOBER 11, 2022

Andrew Ng , Christopher Ré , and others have pointed out that in the past decade, we’ve made a lot of progress with algorithms and hardware for running AI. Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. It is difficult to answer that kind of question with nothing but data.

Games 116

Games Healthcare Processing Retail 116

Speed Curve

JULY 3, 2023

That's because video seems to have had a surge in growth, which should be a cause of concern for anyone who cares about metrics like Largest Contentful Paint, which measures the largest visual element on a page – including videos. It bears repeating: excessive JS can hurt all your user-oriented performance metrics.

Mobile 52

Mobile Google Metrics Retail 52

Alex Russell

FEBRUARY 21, 2023

No, this was a change in strategy. From outright misstatements about a competitor's security, to claims that performance differences in hardware show Safari is faster, to [geographic brinksmanship](/2022/02/minimum-standards/), the confident bluster hasn't gone down particularly well.

Energy 79

Energy Games Engineering Design 79

HammerDB

JANUARY 5, 2019

This post addresses some of the opinions around database benchmarking and gives the top 5 reasons why industry standard benchmarking is important and should be an essential foundation of your database engineering strategy. If you only test your own application (and if you have more than one application which one will you use for benchmarking?)

Benchmarking 40

Benchmarking Database Social Media Scalability 40

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. The update rate could be set too high so that the sensor or metric delivery system can’t keep up.

Latency 52

Latency Engineering Systems Hardware 52

Adrian Cockcroft

NOVEMBER 11, 2019

This discussion focuses on hardware, software and operational failure modes. Collecting some critical metrics at one second intervals, with a total observability latency of ten seconds or less matches the human attention span much better. The update rate could be set too high so that the sensor or metric delivery system can’t keep up.

Latency 53

Latency Engineering Systems Hardware 53

SQL Server According to Bob

JANUARY 11, 2020

Example 1: ​​ Hardware failure (CPU board) Battery backup on the caching controller maintained the data. Important Always consult with your hardware manufacturer for proper stable media strategies. Mirroring can be implemented at a software or hardware level.

Servers 40

Servers Cache Media Hardware 40

Dynatrace

AUGUST 5, 2019

Lift & Shift is where you basically just move physical or virtual hosts to the cloud – essentially you just run your host on somebody else’s hardware. If you want to read up on migration strategies check out my blog on 6-R Migration Strategies. For that, it is sufficient to only know host-2-host dependencies.

Cloud 31

Cloud Traffic Database Network 31

Percona

JULY 1, 2023

Understanding DBaaS DBaaS cloud services allow users to use databases without configuring physical hardware and infrastructure or installing software. Download our eBook, “ Enterprise Guide to Cloud Databases ” to help you make more informed decisions and avoid costly mistakes as you develop and execute your cloud strategy.

AWS 52

AWS Database Serverless Storage 52

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Data version can be specified by a timestamps or application-specific metric. E, Read Quorum Write Quorum) The strategies above are heuristic enhancements that decrease replicas convergence time. Data Placement.

Database 213

Database Latency C++ Scalability 213

Alex Russell

OCTOBER 22, 2017

This rework delays launch which, in turn, delays gathering data about the viability of a PWA strategy. This helps support executive sponsors who then have meaningful metrics to point to in justifying the investments being made. This matters because all script loading delays the metric we value most: Time to Interactive.

Performance 68

Performance Benchmarking Network Mobile 68

Scalegrid

JUNE 11, 2019

Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? On average, 20% of public cloud and hybrid cloud deployments are leveraging a multi-cloud strategy. We hope these database trends were insightful and sparked some new ideas or validated your current database strategy!

Open Source 55

Open Source Database Cloud Infrastructure 55

Smashing Magazine

JANUARY 11, 2021

LogRocket tracks key metrics, incl. Getting Ready: Planning And Metrics Performance culture, Core Web Vitals, performance profiles, CrUX, Lighthouse, FID, TTI, CLS, devices. Getting Ready: Planning And Metrics. DOM complete, time to first byte, first input delay, client CPU and memory usage. Get a free trial of LogRocket today.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 21, 2021

Image source: Lighthouse Metrics ) ( Large preview ). The reasons for it are numerous, but the most important one is a huge difference in network conditions and device hardware across the world. We’ve re-established a strategy for optimizing images (preferably AVIF or WebP — still work in progress though).

Performance 145

Performance Cache Mobile Network 145

Smashing Magazine

JANUARY 6, 2020

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study, or a proof of concept using the Performance API on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Quick Wins.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Getting Ready: Planning And Metrics. Getting Ready: Planning And Metrics. You need a business stakeholder buy-in, and to get it, you need to establish a case study on how speed benefits metrics and Key Performance Indicators ( KPIs ) they care about. Table Of Contents. Setting Realistic Goals. Defining The Environment.

Performance 104

Performance Cache Metrics Network 104

High Scalability

NOVEMBER 25, 2019

I mean that as your scale grows then design patterns and strategies that used to work 2 years ago and allowed you to go from defensive to offensive positioning may buckle under pressure or becomes cost-prohibitive. What is your storage strategy? What is your object and content caching strategy? Architecture should be malleable.

Architecture 52

Architecture Cache Azure Storage 52