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 85

Database Hardware Open Source Strategy 85

Dynatrace

APRIL 5, 2021

Real-time stream processing to perform live activity tracking, data cleansing, metrics generation, and more. You will likely need to write code to integrate systems and handle complex tasks or incoming network requests. Real-time file processing, for quickly indexing files, processing logs, and validating content.

Lambda 173

Lambda AWS Serverless Hardware 173

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? Security Groups. Learn more.

Cloud 242

Cloud Azure AWS Database 242

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

Speed Curve

MARCH 7, 2022

But pages keep getting bigger and more complex year over year – and this increasing size and complexity is not fully mitigated by faster devices and networks, or by our hard-working browsers. And we need to have strategies in place to understand and manage our pages. Clearly we need to keep talking about it.

Mobile 145

Mobile Benchmarking Google Metrics 145

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 104

Availability Database Open Source Hardware 104

Dotcom-Montior

NOVEMBER 27, 2018

Today’s applications are built on multiple technologies, relying on vast networks of third-party providers and CDN’s. 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.

Performance Testing 40

Performance Testing Strategy Testing Performance 40

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. Networking, HTTP/2, HTTP/3 OCSP stapling, EV/DV certificates, packaging, IPv6, QUIC, HTTP/3. Getting Ready: Planning And Metrics. Table Of Contents.

Performance 145

Performance Cache Media Metrics 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

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

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

Highly Scalable

SEPTEMBER 18, 2012

A database should accommodate itself to different data distributions, cluster topologies and hardware configurations. Isolated parts of the database can serve read/write requests in case of network partition. Data version can be specified by a timestamps or application-specific metric. Data Placement. Read/Write latency.

Database 213

Database Latency C++ Scalability 213

Rigor

MARCH 20, 2018

I recently was asked the following question by an online retailer: “Why should I invest in monitoring the user experience when I already have monitoring for our database, infrastructure, app server, and network?”. Instead of asking that question, I asked them this: “Are you a network or hosting provider? appeared first on Rigor.

Monitoring 40

Monitoring Retail Ecommerce Infrastructure 40

Alex Russell

OCTOBER 22, 2017

We constrain ourselves to a real-world baseline device + network configuration to measure progress. This rework delays launch which, in turn, delays gathering data about the viability of a PWA strategy. Budgets are scaled to a benchmark network & device. Performance budgets are set early in the life of the project.

Performance 68

Performance Benchmarking Network Mobile 68

Dynatrace

AUGUST 5, 2019

While most of our cloud & platform partners have their own dependency analysis tooling, most of them focus on basic dependency detection based on network connection analysis between hosts. If you want to read up on migration strategies check out my blog on 6-R Migration Strategies. Where to reduce data transfer in general?

Cloud 31

Cloud Traffic Database Network 31

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. Try to measure your mean time to respond (MTTR) for incidents.

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. Try to measure your mean time to respond (MTTR) for incidents.

Latency 53

Latency Engineering Systems Hardware 53

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

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. On restart, the caching controller flushed all cached writes to disk and DBCCs were clean.

Servers 40

Servers Cache Media Hardware 40

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. Because font files are quite small, hopefully they get through the network quite quickly. This is where we started.

Performance 145

Performance Cache Mobile Network 145

High Scalability

NOVEMBER 25, 2019

To add elasticity, reliability and durability, these data centers are connected to Google Cloud platform using high speed, secure Google Interconnect network. What is your storage strategy? What is your object and content caching strategy? Document store. Video Transcoding. Architecture should be malleable.

Architecture 52

Architecture Cache Azure Storage 52

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. Pipelining.

Big Data 154

Big Data Processing Lambda Database 154

O'Reilly

OCTOBER 11, 2022

As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” Our current set of AI algorithms are good enough, as is our hardware; the hard problems are all about data. Is retraining needed?

Games 120

Games Healthcare Processing Retail 120