Scalegrid

FEBRUARY 8, 2024

Opting for synchronous replication within distributed storage brings about reinforced consistency and integrity of data, but also bears higher expenses than other forms of replicating data. By implementing data replication strategies, distributed storage systems achieve greater.

Storage 130

Storage Systems Big Data Azure 130

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., on end-to-end latency) and less than 0.15% on throughput. This tracing system is similar to Dapper and Zipkin and records per-microservice latencies and number of outstanding requests. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Dynatrace

OCTOBER 4, 2022

Data lakehouses deliver the query response with minimal latency. While data lakehouses combine the flexibility and cost-efficiency of data lakes with the querying capabilities of data warehouses, it’s important to understand how these storage environments differ. Data warehouses.

Artificial Intelligence 213

Artificial Intelligence Analytics Storage Government 213

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Upon further profiling, we found that most of the latency came from the candidate generated step (i.e.,

Tuning 210

Tuning Efficiency Big Data Engineering 210

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

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. Redis requires significantly less memory during write operations to store the same number of records as Memcached.

Cache 130

Cache Storage Scalability Architecture 130

Dynatrace

DECEMBER 15, 2022

This includes response time, accuracy, speed, throughput, uptime, CPU utilization, and latency. AIOps (artificial intelligence for IT operations) combines big data, AI algorithms, and machine learning for actionable, real-time insights that help ITOps continuously improve operations. Performance. What does IT operations do?

Artificial Intelligence 207

Artificial Intelligence DevOps Hardware Virtualization 207

Dynatrace

JULY 6, 2020

Our customers have frequently requested support for this first new batch of services, which cover databases, big data, networks, and computing. See the health of your big data resources at a glance. Azure HDInsight supports a broad range of use cases including data warehousing, machine learning, and IoT analytics.

Azure 149

Azure Cloud Big Data Virtualization 149

All Things Distributed

NOVEMBER 5, 2015

This region will provide even lower latency and strong data sovereignty to local users. The AWS UK region will be our third in the European Union (EU), and we're shooting to have it ready by the end of 2016 (or early 2017). Public Sector & Not-for-Profit – UCAS , Makewaves , JustGiving.

AWS 167

AWS Retail Entertainment IoT 167

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

ScaleOut Software

JULY 19, 2021

And it can maintain contextual information about every data source (like the medical history of a device wearer or the maintenance history of a refrigeration system) and keep it immediately at hand to enhance the analysis. Conventional streaming analytics architectures have not kept up with the growing demands of IoT.

IoT 78

IoT Analytics Big Data Architecture 78

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 84

Cache Latency Traffic Database 84

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. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.

Latency 52

Latency Hardware Cache Architecture 52

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 149

AWS Logistics Cloud Social Media 149

All Things Distributed

SEPTEMBER 29, 2016

Based in the Paris area, the region will provide even lower latency and will allow users who want to store their content in datacenters in France to easily do so. Today, I am very excited to announce our plans to open a new AWS Region in France! The new region in France will be ready for customers to use in 2017.

AWS 166

AWS IoT Internet Internet 166

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 was crucial to the successful launch of WOW air’s U.S.

AWS 117

AWS Airlines Latency Games 117

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 110

AWS Cloud Games Latency 110

The Morning Paper

JUNE 23, 2019

A high CPU cost due to marshalling data to/from the RInK store formats to the application data format. In ProtoCache (a component of a widely used Google application), 27% of its latency when using a traditional S+RInK design came from marshalling/un-marshalling. Fetching too much data in a single query (i.e.,

Cache 79

Cache Latency Google Lambda 79

All Things Distributed

NOVEMBER 12, 2012

This new Asia Pacific (Sydney) Region has been highly requested by companies worldwide, and it provides low latency access to AWS services for those who target customers in Australia and New Zealand. Today, Amazon Web Services has greater worldwide coverage with the launch of a new AWS Region in Sydney, Australia.

Cloud 118

Cloud AWS Ecommerce Latency 118

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 100

Big Data Mobile Latency Database 100

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. Spot Instances - Increased Control.

AWS 114

AWS Cloud Games Latency 114

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 115

AWS Latency Storage Big Data 115

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. The first platform is a real time, big data platform being used for analyzing traffic usage patterns to identify congestion and connectivity issues.

AWS 124

AWS Cloud Games Serverless 124

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 113

AWS Government Big Data Cloud 113

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 107

Artificial Intelligence Big Data Data Engineering Latency 107

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

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. Driving down the cost of Big-Data analytics. We have expanded the AWS footprint in the US and starting today a new AWS Region is available for use: US-West (Northern California).

AWS 60

AWS Cloud Latency Storage 60

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 119

Cloud AWS Automotive Latency 119

Testsigma

FEBRUARY 12, 2021

By 2021, a distributed cloud would help companies physically put all services closely together, thereby addressing low-latency challenges, minimising the expense of storage and ensuring that data standards are consistent with the laws in a given geographical region. Automation to Enhance AI Security Defence.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region. No Server Required - Jekyll & Amazon S3.

AWS 87

AWS Storage Cloud Big Data 87

The Netflix TechBlog

JULY 26, 2021

Netflix is known for its loosely coupled microservice architecture and with a global studio footprint, surfacing and connecting the data from microservices into a studio data catalog in real time has become more important than ever. Most of the business views created on top of the Iceberg tables can tolerate a few minutes of latency.

Big Data 253

Big Data Government Analytics Processing 253

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. Driving down the cost of Big-Data analytics.

Cloud 117

Cloud Internet Internet AWS 117

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

All Things Distributed

NOVEMBER 19, 2010

Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. Driving down the cost of Big-Data analytics. Congrats to the Heroku team for officially serving 100,000 apps. Introducing the AWS South America (Sao Paulo) Region.

AWS 68

AWS Cloud Benchmarking Storage 68

All Things Distributed

FEBRUARY 24, 2010

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. Driving down the cost of Big-Data analytics. Consistent read. Stale reads possible. Highest read throughput. No stale reads. Lower read throughput.

AWS 70

AWS Latency Database Scalability 70

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.

Latency 243

Latency Storage Big Data Tuning 243

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