Dynatrace

OCTOBER 4, 2022

Agent and open technologies make it easy to ingest large volumes of observability, security, and business data. Data management. Data lakehouses take advantage of low-cost object stores like AWS S3 or Microsoft Azure Blob Storage to store and manage data cost-effectively. Data warehouses. Query language.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

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

All Things Distributed

DECEMBER 14, 2011

Introducing the AWS South America (Sao Paulo) Region. Today, Amazon Web Services is expanding its worldwide coverage with the launch of a new AWS Region in Sao Paulo, Brazil. Several prominent South American customers have been using AWS since the early days. Additionally, it allows them to keep their data inside of Brazil.

AWS 114

AWS Latency Storage Big Data 114

All Things Distributed

MARCH 2, 2011

Expanding the Cloud - Introducing the AWS Asia Pacific (Tokyo) Region. Today Amazon Web Services is expanding its world-wide coverage with the launch of a new AWS Region located in Tokyo, Japan. The advanced Asia Pacific network infrastructure also makes the AWS Tokyo Region a viable low-latency option for customers from South Korea.

AWS 112

AWS Cloud Games Latency 112

All Things Distributed

AUGUST 16, 2011

Expanding the Cloud - The AWS GovCloud (US) Region. Today AWS announced the launch of the AWS GovCloud (US) Region. The concept of regions gives AWS customers control over the placement of their resources and services. All Things Distributed. Werner Vogels weblog on building scalable and robust distributed systems.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

NOVEMBER 12, 2012

Today, Amazon Web Services has greater worldwide coverage with the launch of a new AWS Region in Sydney, Australia. 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. Contact Info.

Cloud 117

Cloud AWS Ecommerce Latency 117

All Things Distributed

DECEMBER 3, 2009

Expanding the Cloud - New AWS Region: US-West (Northern California). 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 is committed to making its services available at low cost. Driving Storage Costs Down for AWS Customers.

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

APRIL 28, 2010

Expanding the Cloud - Opening the AWS Asia Pacific (Singapore) Region. Today Amazon Web Services has taken another important step in serving customers worldwide: the AWS Asia Pacific (Singapore) Region is now launched. The new Singapore Region offers customers in APAC lower-latency access to AWS services. Comments ().

AWS 61

AWS Cloud Latency Storage 61

The Morning Paper

JUNE 23, 2019

I think it’s absolutely fine to use the local memory space or filesystem as a local cache of data that spans transactions so long as that doesn’t introduce stickiness, consistency or stale data issues. 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 Lambda 79

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

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 Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Countdown to What is Next in AWS.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 5, 2010

Route 53 has the business properties that you have come to expect from an AWS service: fully self-service and programmable, with transparent pay-as-you-go pricing and no minimum usage commitments. This achieves very low-latency for queries which is crucial for the overall performance of internet applications. No lock-in. Contact Info.

Cloud 117

Cloud Internet Internet AWS 117

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. To get started using Spot or for more details visit the Amazon EC2 Spot Instance web page, the AWS developer blog , and the EC2 Release Notes. Contact Info.

AWS 85

AWS Storage Cloud Big Data 85

All Things Distributed

NOVEMBER 19, 2010

Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Countdown to What is Next in AWS. Driving down the cost of Big-Data analytics.

AWS 67

AWS Cloud Benchmarking Storage 67

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. Amazon S3 and Amazon SimpleDB are examples of AWS services that are designed using these high-availability principles using an eventual consistency model. Lowest read latency. Higher read latency. No stale reads.

AWS 69

AWS Latency Database Scalability 69

The Netflix TechBlog

OCTOBER 27, 2020

Usually Data scientists and engineers write Extract-Transform-Load (ETL) jobs and pipelines using big data compute technologies, like Spark or Presto , to process this data and periodically compute key information for a member or a video. The processed data is typically stored as data warehouse tables in AWS S3.

Latency 243

Latency Storage Big Data Tuning 243

The Netflix TechBlog

DECEMBER 21, 2020

By Anupom Syam Background At Netflix, our current data warehouse contains hundreds of Petabytes of data stored in AWS S3 , and each day we ingest and create additional Petabytes. These principles reduce resource usage by being more efficient and effective while lowering the end-to-end latency in data processing.

Storage 203

Storage Latency Efficiency Data Engineering 203