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 125

AWS Logistics Cloud Social Media 125

Scalegrid

FEBRUARY 8, 2024

At its core, a distributed storage system comprises three main components: a controller for managing the system’s operations, an internal datastore where information is held, and databases geared towards ensuring scalability, partitioning capabilities, and high availability for all types of data.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

DECEMBER 14, 2011

This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. The new Sao Paulo Region provides better latency to South America, which enables AWS customers to deliver higher performance services to their South American end-users.

AWS 103

AWS Latency Storage Cloud 103

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. That’s 100% faster.

AWS 107

AWS Airlines Latency Games 107

All Things Distributed

JANUARY 6, 2016

A region in South Korea has been highly requested by companies around the world who want to take full advantage of Korea’s world-leading Internet connectivity and provide their customers with quick, low-latency access to websites, mobile applications, games, SaaS applications, and more.

AWS 99

AWS Cloud Games Latency 99

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Data transfer technology. Cube or box Block chain of abstract financial data. Additionally, it provides robust native support for geospatial data, enhancing applications like maps and location services.

Cache 130

Cache Storage Architecture Scalability 130

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 125

AWS Programming Latency Architecture 125

All Things Distributed

MARCH 2, 2011

Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. The advanced Asia Pacific network infrastructure also makes the AWS Tokyo Region a viable low-latency option for customers from South Korea. Countdown to What is Next in AWS.

AWS 90

AWS Cloud Games Latency 90

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 76

Big Data Mobile Latency Database 76

All Things Distributed

DECEMBER 5, 2010

Low-latency query resolution The query resolution functionality of Route 53 is based on anycast, which will route the request automatically to the DNS server that is the closest. This achieves very low-latency for queries which is crucial for the overall performance of internet applications. Countdown to What is Next in AWS.

Cloud 111

Cloud Internet Internet AWS 111

ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Big Data Analytics Architecture 78

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer uses a lightweight RPC-level tracing system to collect request traces and aggregate them in a Cassandra database. on end-to-end latency) and less than 0.15% on throughput. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

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. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Job Openings in AWS - Senior Leader in Database Services.

Cloud 96

Cloud AWS Automotive Latency 96

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. Government and Big Data. One particular early use case for AWS GovCloud (US) will be massive data processing and analytics.

AWS 88

AWS Government Big Data Cloud 88

InfoQ

JULY 3, 2023

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

Cache 86

Cache Latency Traffic Database 86

Highly Scalable

MAY 1, 2012

Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. A high CPU cost due to marshalling data to/from the RInK store formats to the application data format. Who knew! ;).

Cache 79

Cache Latency Google Network 79

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. Ready to take your database management to the next level with ScaleGrid’s cutting-edge solutions?

Strategy 130

Strategy Cloud Infrastructure Artificial Intelligence 130

All Things Distributed

DECEMBER 3, 2009

This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Job Openings in AWS - Senior Leader in Database Services. Driving down the cost of Big-Data analytics.

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

FEBRUARY 24, 2010

Amazon SimpleDB has launched today with a new set of features giving the customer more control over which consistency and concurrency models to use in their database operations. These new features will make it easier to transition those applications to SimpleDB that are designed with traditional database tools in mind. Consistent Read.

AWS 63

AWS Latency Database Scalability 63

All Things Distributed

JULY 11, 2011

As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Job Openings in AWS - Senior Leader in Database Services.

AWS 69

AWS Storage Cloud Big Data 69

Abhishek Tiwari

DECEMBER 27, 2017

ETL refers to extract, transform, load and it is generally used for data warehousing and data integration. ETL is a product of the relational database era and it has not evolved much in last decade. There are several emerging data trends that will define the future of ETL in 2018. Machine learning meets data integration.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

NOVEMBER 19, 2010

Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Job Openings in AWS - Senior Leader in Database Services. Countdown to What is Next in AWS.

AWS 62

AWS Cloud Benchmarking Storage 62