Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. A typical example of pipelining is shown below: In this example, the hash join algorithm is employed to join four relations: R1, S1, S2, and S3 using 3 processors.

Big Data 154

Big Data Processing Lambda Database 154

All Things Distributed

JULY 13, 2010

Further computationally intensive, highly parallel workloads have found their way to Amazon EC2 as businesses have explored using HPC types of algorithms for other application categories, for example to to process very large unstructured data sets for Business Intelligence applications. Driving down the cost of Big-Data analytics.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

APRIL 28, 2010

Quite often "The Cloud" is portrayed as something magically transparent that lives somewhere in the internet. There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services.

AWS 61

AWS Cloud Latency Storage 61

Smashing Magazine

OCTOBER 31, 2023

For example, the data is pretty slow to update, refreshing every 28 days, meaning it is not the same as real-time monitoring. This data is distinct from CrUX because it’s collected directly by the website owner by installing an analytics snippet on their website. But it comes with caveats.

Speed 97

Speed Google Website Metrics 97

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. Case Study.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Scalegrid

JANUARY 12, 2024

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. You can observe the metrics across service instances split by region (in this example, API Gateways in us-east-1 and us-east-2 ). Dynatrace news. Amazon EMR.

AWS 135

AWS Metrics IoT Storage 135

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. You can observe the metrics across service instances split by region (in this example, API Gateways in us-east-1 and us-east-2 ). Dynatrace news. Amazon EMR.

AWS 132

AWS Metrics IoT Storage 132

All Things Distributed

JUNE 21, 2018

We are increasingly seeing customers wanting to build Internet-scale applications that require diverse data models. Airbnb is a great example of a customer building high-performance and scalable applications with Amazon Aurora. The purpose of DynamoDB is to provide consistent single-digit millisecond latency for any scale of workloads.

Database 167

Database AWS Games Latency 167

All Things Distributed

JULY 14, 2015

In just three short years, Amazon DynamoDB has emerged as the backbone for many powerful Internet applications such as AdRoll , Druva , DeviceScape , and Battlecamp. No matter which mechanism you choose to use, we make the stream data available to you instantly (latency in milliseconds) and how fast you want to apply the changes is up to you.

Database 167

Database Lambda AWS IoT 167

All Things Distributed

OCTOBER 12, 2016

Three years ago, as part of our AWS Fast Data journey we introduced Amazon ElastiCache for Redis , a fully managed in-memory data store that operates at sub-millisecond latency. This allows for faster failover times while minimizing latency. Building upon Redis. Redis and Fast Data.

Scalability 130

Scalability Analytics Cache AWS 130

Alex Russell

JANUARY 30, 2024

Many critiques are possible, both of the target (five seconds for first load), the sample population (worldwide internet users), and of the methodology (informed reckons). Predictably, they are over-represented in analytics and logs owing to wealth-related factors including superior network access and performance hysteresis."

Performance 90

Performance Network Mobile Speed 90

Dotcom-Montior

NOVEMBER 24, 2021

Ok, so maybe that is an oversimplified example, but you get the point. For example, you can think of a cell phone network as a type of distributed system, consisting of a network of internet-connected devices that share resources workload. Blockchain is a good example of this. Awesome, everything is running as expected.

Systems 74

Systems Monitoring Hardware Network 74

IO River

NOVEMBER 15, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security You'll have logs and analytics scattered across different CDNs. After you've researched, closed breaches, and tested, you start all over again.

Traffic 52

Traffic Network Logistics Architecture 52

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale. Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167

IO River

NOVEMBER 2, 2023

For example, if a request activates a rule designed to block SQL injection attempts, the WAF might automatically block that request, preventing it from reaching your web application.‍Security Flywheel‍‍When it comes to fortifying web applications, think of security as a flywheel—an ever-revolving cycle that gains momentum with each turn.

Traffic 40

Traffic Network Logistics Architecture 40

Smashing Magazine

MAY 20, 2020

This metric is important, but quite vague because it can include anything — starting from server rendering time and ending up with latency problems. For example, for an internet shop, it may be a page with a product list, product details page, shopping cart, checkout, and so on. So make a competitors list. It’s up to you!

Performance 98

Performance Metrics Best Practices Code 98

Alex Russell

JULY 14, 2021

Modern browsers like Chrome and Samsung Internet support a long list of features that make web apps more powerful and keep users safer. Standard tools, analytics packages, and feature availability dashboards do not make mention of IABs, and the largest WebView IAB promulgators (Facebook, Pinterest, Snap, etc.) PWA Feature Detector.

Google 121

Google Mobile Engineering Internet 121

All Things Distributed

NOVEMBER 15, 2010

For example, the most fundamental abstraction trade-off has always been latency versus throughput. Modern CPUs strongly favor lower latency of operations with clock cycles in the nanoseconds and we have built general purpose software architectures that can exploit these low latencies very well. Where to go from here?

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

FEBRUARY 24, 2010

For example updates to data now needs to happen in several locations, so what do you do if one or more of those locations is (temporarily) not accessible? Achieving strict consistency can come at a cost in update or read latency, and may result in lower throughput. Lowest read latency. Higher read latency. No stale reads.

AWS 69

AWS Latency Database Scalability 69

Smashing Magazine

JANUARY 11, 2021

This guide has been kindly supported by our friends at LogRocket , a service that combines frontend performance monitoring , session replay, and product analytics to help you build better customer experiences. Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops.

Performance 145

Performance Cache Media Metrics 145

Smashing Magazine

JANUARY 6, 2020

Study common complaints coming into customer service and sales team, study analytics for high bounce rates and conversion drops. Run performance experiments and measure outcomes — both on mobile and on desktop (for example, with Google Analytics ). Yet often, analytics alone doesn’t provide a complete picture.

Performance 145

Performance Cache Network Metrics 145

Smashing Magazine

JANUARY 7, 2019

To get accurate results and goals though, first study your analytics to see what your users are on. One way or another, rather than focusing on full page loading time (via onLoad and DOMContentLoaded timings, for example), prioritize page loading as perceived by your customers.

Performance 103

Performance Cache Metrics Network 103