Scalegrid

NOVEMBER 25, 2019

ScyllaDB is an open-source distributed NoSQL data store, reimplemented from the popular Apache Cassandra database. Released just four years ago in 2015, Scylla has averaged over 220% year-over-year growth in popularity according to DB-Engines. percentile latency is up to 11X better than Cassandra on AWS EC2 bare metal.

Big Data 187

Big Data Database Open Source Azure 187

InfoQ

JULY 3, 2023

The new solution achieved over 99% hit rate, helped reduce tail latencies by more than 60% and costs by 10% annually. LinkedIn introduced Couchbase as a centralized caching tier for scaling member profile reads to handle increasing traffic that has outgrown their existing database cluster. By Rafal Gancarz

Cache 83

Cache Latency Traffic Database 83

All Things Distributed

JUNE 20, 2017

This enables customers to serve content to their end users with low latency, giving them the best application experience. In 2008, AWS opened a point of presence (PoP) in Hong Kong to enable customers to serve content to their end users with low latency. Since then, AWS has added two more PoPs in Hong Kong, the latest in 2016.

AWS 146

AWS Logistics Cloud Social Media 146

All Things Distributed

SEPTEMBER 5, 2013

Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.

Big Data 98

Big Data Mobile Latency Database 98

InfoQ

APRIL 15, 2024

He specifically delved into Venice DB, the NoSQL data store used for feature persistence. At the QCon London 2024 conference, Félix GV from LinkedIn discussed the AI/ML platform powering the company’s products. By Rafal Gancarz

Artificial Intelligence 106

Artificial Intelligence Big Data Data Engineering Latency 106

All Things Distributed

JULY 13, 2010

In particular this has been true for applications based on algorithms - often MPI-based - that depend on frequent low-latency communication and/or require significant cross sectional bandwidth. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region. Spot Instances - Increased Control.

Cloud 118

Cloud AWS Automotive Latency 118

The Netflix TechBlog

NOVEMBER 20, 2023

It also improves the engineering productivity by simplifying the existing pipelines and unlocking the new patterns. Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational.

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

JULY 21, 2022

We at Netflix, as a streaming service running on millions of devices, have a tremendous amount of data about device capabilities/characteristics and runtime data in our big data platform. With large data, comes the opportunity to leverage the data for predictive and classification based analysis.

Big Data 179

Big Data Cache Engineering Data Engineering 179

The Netflix TechBlog

OCTOBER 27, 2020

By Tianlong Chen and Ioannis Papapanagiotou Netflix has more than 195 million subscribers that generate petabytes of data everyday. 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.

Latency 243

Latency Storage Big Data Tuning 243

All Things Distributed

NOVEMBER 19, 2010

Science & Engineering. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. an engineering adventure to break the 1,000 mph barrier in a car. Driving down the cost of Big-Data analytics. From Airships to Waterslides.

AWS 67

AWS Cloud Benchmarking Storage 67

All Things Distributed

DECEMBER 5, 2010

There is more than one Werner Vogels in this world and although I never get emails, snail mail or phones calls for any of my peers, I am sure they are somewhat frustrated if they type in our name in a search engine :-). This achieves very low-latency for queries which is crucial for the overall performance of internet applications.

Cloud 117

Cloud Internet Internet AWS 117

Scalegrid

MARCH 28, 2024

As Redis stores data, it supports extensive data key and string lengths, up to 512 MB, while offering complex data structures like: lists sets sorted sets hashes bitmaps These features make Redis much more than a basic caching engine; it is a versatile tool capable of supporting diverse data models.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

APRIL 28, 2010

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. Driving down the cost of Big-Data analytics. No Server Required - Jekyll & Amazon S3.

AWS 61

AWS Cloud Latency Storage 61

Scalegrid

MARCH 14, 2024

Workloads from web content, big data analytics, and artificial intelligence stand out as particularly well-suited for hybrid cloud infrastructure owing to their fluctuating computational needs and scalability demands.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Netflix TechBlog

DECEMBER 21, 2020

Some of the optimizations are prerequisites for a high-performance data warehouse. Sometimes Data Engineers write downstream ETLs on ingested data to optimize the data/metadata layouts to make other ETL processes cheaper and faster. Both automatic (event-driven) as well as manual (ad-hoc) optimization.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Morning Paper

OCTOBER 26, 2020

Helios also serves as a reference architecture for how Microsoft envisions its next generation of distributed big-data processing systems being built. What follows is a discussion of where big data systems might be heading, heavily inspired by the remarks in this paper, but with several of my own thoughts mixed in.

Cloud 104

Cloud Big Data Latency Architecture 104

All Things Distributed

APRIL 4, 2017

It will also give customers another region where they can store their data with the knowledge that it will not leave the EU unless they move it. This enables customers to serve content to their end users with low latency, giving them the best application experience.

AWS 116

AWS Airlines Latency Games 116

Abhishek Tiwari

DECEMBER 27, 2017

A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL. It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

DECEMBER 12, 2018

They can run applications in Sweden, serve end users across the Nordics with lower latency, and leverage advanced technologies such as containers, serverless computing, and more. million vehicles in more than 75 countries with services like car locator, engine remote start, driving journal, heater start, and stolen vehicle tracking.

AWS 124

AWS Cloud Games Serverless 124

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

Testsigma

FEBRUARY 12, 2021

According to Gartner, the greatest technological developments in 2021 will influence the future from technology affecting how people operate, to AI engineering and hyperautomation. This obligated QA engineers, in particular, to pay more attention to the user interface. According to Statista, approximately 2.87

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

The Netflix TechBlog

NOVEMBER 3, 2023

Additionally, instead of implementing business logic by composing multiple individual Processors together, users could express their logic in a single SQL query, avoiding the additional resource and latency overhead that came from multiple Flink jobs and Kafka topics.

Processing 265

Processing Engineering Infrastructure Latency 265