ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. This article lays out the ideas and discussions shared at the workshop. Figure 1: Heterogeneous memory with CXL (source: Maruf et al.,

Latency 52

Latency Hardware Cache Architecture 52

KeyCDN

OCTOBER 2, 2018

Its videos and blog articles address issues such as web performance, extensible component development and the intersection of CSS with other technologies, like HTML and JavaScript. features collected articles that concentrate on what makes JavaScript work and what doesn’t. Visit website 3. Visit website 6. Visit website 11.

Development 75

Development Website Design Code 75

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios. Data transfer technology.

Cache 130

Cache Storage Scalability Architecture 130

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. This article will explore hybrid cloud benefits and steps to craft a plan that aligns with your unique business challenges. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Big news this week was of course the launch of Cluster GPU instances for Amazon EC2. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. Comments ().

AWS 67

AWS Cloud Benchmarking Storage 67

Rigor

SEPTEMBER 11, 2019

Follow @ tameverts to stay updated on all her upcoming speaking engagements and articles. His most recent book, Hacking Web Performance , walks the reader through improving performance from initial load and data transfer to resource loading and the overall user experience. His articles for WebFundamentals are not to be missed.

Performance 89

Performance Education Google Website 89

The Netflix TechBlog

FEBRUARY 16, 2021

To solve the challenges mentioned above and meet our rapidly evolving business needs, we re-architected the legacy SKU catalog from the ground up and partnered with the Growth Engineering team to build a scalable SKU platform. We’ll skip over Hendrix’s specific details and focus on the SKU platform adoption in this article for brevity.

Mobile 209

Mobile Engineering Infrastructure Scalability 209

The Netflix TechBlog

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3. Moving data with Bulldozer at Netflix.

Latency 243

Latency Storage Big Data Tuning 243

Abhishek Tiwari

JULY 7, 2023

In the era of big data and complex data processing, data pipelines have emerged as a popular solution for managing and manipulating data. They provide a systematic approach to extract, transform, and load (ETL) data from various sources, enabling organizations to derive valuable insights.

Logistics 52

Logistics Transportation Scalability Data Engineering 52

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203

Highly Scalable

MARCH 1, 2012

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. General Notes on NoSQL Data Modeling. ” .

Database 279

Database Ecommerce Efficiency Engineering 279

Testsigma

SEPTEMBER 8, 2021

In this article, we will focus on tools that make this happen in real-time on the cloud. AppPerfect is one among the tools list that is a versatile tool – it is of great use for not only testers but developers and big data operations. Cloud-based automation testing is a simple concept. Signup now. AppPerfect.

Cloud 76

Cloud Testing AWS Testing Tools 76

Highly Scalable

JANUARY 31, 2012

In this article I digested a number of MapReduce patterns and algorithms to give a systematic view of the different techniques that can be found on the web or scientific articles. Solution II: The second solution requires only one MapReduce job, but it is not really scalable and its applicability is limited.

C++ 144

C++ Network Ecommerce Processing 144

Highly Scalable

MARCH 10, 2015

The rise of omni-channel retail that integrates marketing, customer relationship management, and inventory management across all online and offline channels has produced a plethora of correlated data which increases both the importance and capabilities of data-driven decisions. However, many of these models are highly parametric (i.e.

Retail 152

Retail C++ Analytics Metrics 152

All Things Distributed

FEBRUARY 24, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There are many factors that come into play when you need to meet stringent availability and performance requirements under ultra-scalable conditions. I laid out some of these challenges in an article explaining the concept of eventual consistency.

AWS 69

AWS Latency Database Scalability 69

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Currently, an issue has been opened to make the “tailing” based on the primary key much faster: slow order by primary key with small limit on big data.

Database 40

Database Analytics Blockchain Healthcare 40