The Morning Paper

SEPTEMBER 19, 2019

Could it be Analyzing efficient stream processing on modern hardware ? Hyper Dimension Shuffle describes how Microsoft improved the cost of data shuffling, one of the most costly operations, in their petabyte-scale internal big data analytics platform, SCOPE. What’s their secret??? What if the network was no longer the bottleneck?

Blockchain 46

Blockchain Hardware Google Analytics 46

All Things Distributed

JULY 14, 2015

Streams provide you with the underlying infrastructure to create new applications, such as continuously updated free-text search indexes, caches, or other creative extensions requiring up-to-date table changes. DynamoDB Streams enables your application to get real-time notifications of your tables’ item-level changes.

Database 167

Database Lambda AWS IoT 167

Abhishek Tiwari

DECEMBER 27, 2017

Apache Arrow's in-memory columnar layout is specifically optimized for data locality for better performance on modern hardware like CPUs and GPUs. In contrast, Alluxio a middleware for data access - think Alluxio storage layer as fast cache. Leveraging the recent hardware advances.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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. Hardware Past As Performance Prologue. Regardless, the overall story for hardware progress remains grim, particularly when we recall how long device replacement cycles are: Tap for a larger version.

Performance 124

Performance Network Cache Metrics 124

Percona

JANUARY 17, 2019

On multi-core machines – which is the majority of the hardware nowadays – and in the cloud, we have multiple cores available for use. In this article, we will look at how this can improve the reporting/analytical query performance in MySQL. The second and third run used the cached data. This query is 100% cached.

Cache 46

Cache C++ AWS Airlines 46

The Morning Paper

SEPTEMBER 12, 2019

SQL provides a declarative programming interface, below which the system itself can figure out the most effective execution plans based on data size and statistics, layout, compute hardware etc. Declarative recursive computation on an RDBMS… or, why you should use a database for distributed machine learing Jankov et al., VLDB’19.

Network 44

Network Database Programming Hardware 44

All Things Distributed

JANUARY 18, 2012

DynamoDB frees developers from the headaches of provisioning hardware and software, setting up and configuring a distributed database cluster, and managing ongoing cluster operations. ve learned from building large-scale, non-relational databases for Amazon.com and building highly scalable and reliable cloud computing services at AWS.

Scalability 167

Scalability Database Ecommerce Latency 167

Smashing Magazine

JANUARY 21, 2021

Plus a service worker that caches all static assets and serves them for repeat views, along with cached versions of articles that a reader has already visited. The reasons for it are numerous, but the most important one is a huge difference in network conditions and device hardware across the world. Large preview ).

Performance 145

Performance Cache Mobile Network 145

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. 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). You can then mimic the 90th percentile’s experience for testing.

Performance 104

Performance Cache Metrics Network 104

High Scalability

NOVEMBER 25, 2019

Edge caching. In general, Egnyte connect architecture shards and caches data at different levels based on: Amount of data. Nginx for disk based caching. We use different types of caching techniques depending on the problem statements. Disk based caching. Hybrid Sync. On prem data processing. Offline access.

Architecture 52

Architecture Cache Azure Storage 52