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

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. Science & Engineering.

AWS 67

AWS Cloud Benchmarking Storage 67

Scalegrid

MARCH 14, 2024

Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution. Defining Hybrid Cloud Strategy The decision-making process about where to situate data and applications is vital to any hybrid cloud solution.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

OCTOBER 4, 2022

While data lakes and data warehousing architectures are commonly used modes for storing and analyzing data, a data lakehouse is an efficient third way to store and analyze data that unifies the two architectures while preserving the benefits of both. What is a data lakehouse? Data management.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

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