All Things Distributed

AUGUST 16, 2011

The US Federal Cloud Computing Strategy lays out a â??Cloud strategy which compels US federal agencies to consider Cloud Computing first as the target for their IT operations: To harness the benefits of cloud computing, we have instituted a Cloud First policy. Government and Big Data. Cloud First. Cloud Firstâ??

AWS 111

AWS Government Big Data Cloud 111

O'Reilly

JANUARY 13, 2020

Will the incremental strategy of delivering pattern matching and algebraic data types ( Project Amber ) pay off? Most surprisingly is the full first-class support for differentiable programming with automatic differentiation, which is made possible by Swift’s underlying compiler framework and design.

Programming 133

Programming Java Google C++ 133

All Things Distributed

JUNE 29, 2011

AWS also applies the same customer oriented pricing strategy: as the AWS platform grows, our scale enables us to operate more efficiently, and we choose to pass the benefits back to customers in the form of cost savings. Often customers are surprised about our strategy to help them drive their costs down. Expanding the Cloud â??

AWS 104

AWS Retail Innovation Strategy 104

Rigor

SEPTEMBER 11, 2019

Vitaly specializes in front-end development, performance optimization, and responsive design, and he has made an epic contribution to the performance industry in addition to many other technology and design-related spaces. He was also the founder and president of Mobile Portland, where he started the first community device lab.

Performance 89

Performance Education Google Website 89

All Things Distributed

DECEMBER 20, 2017

The founders had noticed that in many companies, product designers worked in a very detached manner from the rest of production. In this way, designers are part of an ecosystem in which the functionalities of simulations, data and people come together, enabling them to develop better products faster. Value creation through data.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

All Things Distributed

AUGUST 19, 2011

AWS Database Services is responsible for setting the database strategy and delivering distributed structured storage services to our AWS customers. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS.

AWS 75

AWS Database Storage Scalability 75

All Things Distributed

JULY 3, 2011

I will be presenting about how CIO strategies for business continuity are changing in the light of increasing business agility. I will give a keynote on enterprise migration strategies. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics.

AWS 67

AWS Storage Cloud Big Data 67

Scalegrid

MARCH 28, 2024

Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. It is designed to cache plain text values, offering fast read and write access to frequently accessed data. Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

JULY 11, 2011

By shifting the unit of capacity we are pricing against, customers bidding strategy will directly determine whether or not they are fulfilled. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Driving down the cost of Big-Data analytics. Countdown to What is Next in AWS.

AWS 85

AWS Storage Cloud Big Data 85

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. Like the development and design phases, these applications generate massive data volumes that offer relevant and actionable insights.

Artificial Intelligence 278

Artificial Intelligence Cloud Innovation Strategy 278

Smashing Magazine

AUGUST 9, 2021

Smashing Podcast Episode 41 With Eva PenzeyMoog: Designing For Safety. Smashing Podcast Episode 41 With Eva PenzeyMoog: Designing For Safety. In this episode, we’re talking about designing for safety. What does it mean to consider vulnerable users in our designs? Design for Safety from A Book Apart. Drew McLellan.

Design 99

Design Education Network Google 99

The Netflix TechBlog

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing. ETL pipelines keep all the benefits of batch workflows.

Processing 210

Processing Big Data Efficiency Engineering 210

The Netflix TechBlog

DECEMBER 21, 2020

We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits. This article will list some of the use cases of AutoOptimize, discuss the design principles that help enhance efficiency, and present the high-level architecture.

Storage 203

Storage Latency Efficiency Data Engineering 203

The Netflix TechBlog

FEBRUARY 16, 2021

As we expand offerings rapidly across the globe, our ideas and strategies around plans and offers are evolving as well. This re-design enabled us to reposition the SKU catalog as an extensible, scalable, and robust rule-based “self-service” platform. For example, the mobile plan launch in India and Southeast Asia was a huge success.

Mobile 209

Mobile Engineering Infrastructure Scalability 209

O'Reilly

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” Isn’t it nice to uncover that in a simulated environment, where we can map out our risk mitigation strategies with calm, level heads?

Hardware 101

Hardware Storage Big Data Blockchain 101

Highly Scalable

MARCH 10, 2015

In this article we are trying to take a more rigorous approach and provide a systematic view of econometric models and objective functions that can leverage data analysis to make more automated decisions. The design of the model heavily depends on the problem. This model helps to design targeted usage expansion campaigns.

Retail 152

Retail C++ Analytics Metrics 152

Smashing Magazine

JULY 29, 2019

I hope to raise the profile of difficulties faced by real people, which are avoidable if we design and develop in a way that is sympathetic to their needs. In Amazon’s case, there is room to make some big data savings on the desktop site and we shouldn’t get complacent just because the screen size suggests I’m not on a mobile device.

Cache 97

Cache Google Mobile Network 97

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). Her current work focuses on hardware/software co-design for extremely large-scale deep learning training. This post reflects their own opinions and does not represent Google’s or Baidu’s positions, strategies or opinions.

Architecture 74

Architecture Open Source Hardware Software Engineering 74