Dynatrace

SEPTEMBER 17, 2019

PostgreSQL & Elastic for data storage. REDIS for caching. Robert’s AWS & EKS admin team are monitoring most services with that capability but found it beneficial for them to have Dynatrace monitor Elastic File Storage (EFS). Their technology stack looks like this: Spring Boot-based Microservices. NGINX as an API Gateway.

AWS 127

AWS Monitoring Ecommerce Lambda 127

Smashing Magazine

NOVEMBER 2, 2021

But many, including Gartner , believe that PWAs are the future of mobile sales that’ll overtake the market in the 2020s: “Progressive web apps are a cost- and a skills-effective way to reach a wide audience with a close-to-native app experience that supports the full customer life cycle. What Does This Mean? Findable Pages. Large preview ).

Code 74

Code Cache Retail Mobile 74

Smashing Magazine

SEPTEMBER 20, 2021

Search Engine And Web Archive Cached Results. Another common category of imposter domains are domains used by search engines for delivering cached results or archived versions of page views. The message that appears above a cached search result in Google’s search service. Turning The Data Into Information. Large preview ).

Website 89

Website Analytics Cache Google 89

Enprowess

JANUARY 12, 2022

So it is convenient for all to use irrespective of internet speed and it works offline using cached data. Offers Easy Navigation & Seamless User Experience: Single page app has a simple design, and it delivers an experience like a desktop or mobile app. Users do not have to click on many links. Famous PWA Use Examples.

Blockchain 59

Blockchain IoT Development Serverless 59

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Meanwhile, developer behaviour offers little hope: Median mobile JavaScript payloads have only grown since 2016, now hovering above 400KiB of script transferred, or nearly 2.5MiB of uncompressed JS.

Performance 124

Performance Network Cache Metrics 124

Smashing Magazine

JANUARY 6, 2020

Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Study your main competitors, collect metrics on how they perform on mobile and desktop and set thresholds that would help you outpace them. It will help you build up a company-tailored case study with real data.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

Run performance experiments and measure outcomes — both on mobile and on desktop. Study your main competitors, collect metrics on how they perform on mobile and desktop and set thresholds that would help you outpace them. Keep in mind that on a mobile device, you should be expecting a 4×–5× slowdown compared to desktop machines.

Performance 103

Performance Cache Metrics Network 103

All Things Distributed

DECEMBER 5, 2010

To reach an individual you will look up him or her in your address book, and select a phone (home, work, mobile) and then a number to dial. There are two main types of DNS servers: authoritative servers and caching resolvers. Caching techniques ensure that the DNS system doesnt get overloaded with queries. Syndication.

Cloud 117

Cloud Internet Internet AWS 117

Alex Russell

APRIL 29, 2021

Chrome has missed several APIs for 3+ years: Storage Access API. Critical in adapting web content to mobile, particularly regarding multi-touch gestures. Likely to ship in Chromium later this year, enables smooth animation based on scrolling and swiping, a key interaction pattern on modern mobile devices. Service Workers.

Media 145

Media Games Education Engineering 145

Highly Scalable

AUGUST 20, 2013

This article is an effort to explore techniques used by developers of in-stream data processing systems, trace the connections of these techniques to massive batch processing and OLTP/OLAP databases, and discuss how one unified query engine can support in-stream, batch, and OLAP processing at the same time. High performance and mobility.

Big Data 154

Big Data Processing Lambda Database 154

ScaleOut Software

AUGUST 19, 2014

For example, consider a web server farm handling requests for web users or mobile apps. With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores.

Cloud 40

Cloud Azure Virtualization Scalability 40

ScaleOut Software

AUGUST 19, 2014

For example, consider a web server farm handling requests for web users or mobile apps. With their tightly integrated client-side caching, IMDGs typically provide much faster access to this shared data than backing stores, such as blob stores, database servers, and NoSQL stores.

Cloud 40

Cloud Azure Virtualization Scalability 40

All Things Distributed

JUNE 21, 2018

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. Seldom can one database fit the needs of multiple distinct use cases.

Database 167

Database AWS Games Latency 167

All Things Distributed

OCTOBER 12, 2016

Fast Data is an emerging industry term for information that is arriving at high volume and incredible rates, faster than traditional databases can manage. While caching continues to be a dominant use of ElastiCache for Redis, we see customers increasingly use it as an in-memory NoSQL database. Building upon Redis.

Scalability 131

Scalability Analytics Cache AWS 131

All Things Distributed

APRIL 27, 2011

We use high-performance transactions systems, complex rendering and object caching, workflow and queuing systems, business intelligence and data analytics, machine learning and pattern recognition, neural networks and probabilistic decision making, and a wide variety of other techniques. Driving Storage Costs Down for AWS Customers.

Technology 151

Technology Technology AWS Storage 151

High Scalability

NOVEMBER 25, 2019

It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. Over time, costs for S3 and GCS became reasonable and with Egnyte’s storage plugin architecture, our customers can now bring in any storage backend of their choice.

Architecture 52

Architecture Cache Azure Storage 52