All Things Distributed

JANUARY 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements.

AWS 99

AWS Cloud Java Programming 99

Scalegrid

MARCH 28, 2024

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios. Data transfer technology.

Cache 130

Cache Storage Architecture Scalability 130

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Unilever – Unilever R&D program intended to accelerate the company’s scientific progress through improved access to global information. In addition, its robust architecture supports ten times as many scientists, all working simultaneously.

Cloud 102

Cloud Energy AWS Healthcare 102

All Things Distributed

MARCH 24, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The TNW team is doing a great job in getting an excellent program together that draws an audience from around the world, not just Europe, and there is an interesting mix of startups, enterprises, investors and media attending. All Things Distributed. Comments ().

AWS 75

AWS Internet Internet Storage 75

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.

IoT 78

IoT Big Data Analytics Architecture 78

ACM Sigarch

NOVEMBER 1, 2019

Alongside more traditional sessions such as Real-World Deployed Systems and Big Data Programming Frameworks, there were many papers focusing on emerging hardware architectures, including embedded multi-accelerator SoCs, in-network and in-storage computing, FPGAs, GPUs, and low-power devices.

Architecture 12

Architecture Hardware Cache Storage 12

All Things Distributed

MAY 18, 2010

Werner Vogels weblog on building scalable and robust distributed systems. This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. All Things Distributed.

Storage 64

Storage Cloud AWS Scalability 64

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. We’ve seen similar high marshalling overheads in big data systems too.) Fetching too much data in a single query (i.e.,

Cache 79

Cache Latency Google Network 79

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. Such a combination requires new abstractions and programming models for effective management. About application transparency.

Latency 52

Latency Hardware Cache Architecture 52

ScaleOut Software

NOVEMBER 24, 2020

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. At the same time, telemetry snapshots are stored in a data lake, such as HDFS , for offline batch analysis and visualization using big data tools like Spark.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

An innovative new software approach called “real-time digital twins” running on a cloud-hosted, highly scalable, in-memory computing platform can help address this challenge. The computing system also has the ability to perform aggregate analytics in seconds on the continuously evolving data held in the twins.

Logistics 52

Logistics Analytics Scalability Cloud 52

Highly Scalable

MARCH 10, 2015

Customer retention programs can require the identification of customers who are likely to stop the relationship with a retailer but can change their minds under the influence of incentives. This metric reveals customers with high revenue potential, hence it can be used in loyalty programs and usage expansion campaigns.

Retail 152

Retail C++ Analytics Metrics 152

Brendan Gregg

APRIL 30, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 41

DevOps Network Best Practices Programming 41

Brendan Gregg

APRIL 29, 2018

In this year's CFP we’re looking for topics covering the latest trends and best practices in cloud computing, containerization, machine learning, big data, infrastructure, scalability, DevOps, IT management, automation, reliability, monitoring, performance tuning, security, databases, programming, datacenters, and more.

DevOps 40

DevOps Network Best Practices Programming 40

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

KeyCDN

OCTOBER 2, 2018

It’s awesome for discovering how grid systems, CSS animation, Big Data, etc all play roles in real-world web design. CSSWizardy CSSWizardy is a good place to learn about scalable CSS practices and robust coding in general. Be sure to check it out if your dev process needs a creative kick in the pants. Visit website 12.

Development 75

Development Website Design Code 75

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud This clears the path for agencies that have IT programs that need to be ITAR-compliant to start using AWS GovCloud (US) for these applications.

AWS 90

AWS Government Big Data Cloud 90

Adrian Cockcroft

NOVEMBER 18, 2024

From optimizing its data center design to investing in purpose-built chips to implementing new cooling technologies, AWS is working on ways to increase the energy efficiency of its facilities to better serve our customers’ sustainability needs and the scaled use of AI. Discover how Scepter, Inc.

AWS 98

AWS Energy Lambda Government 98

Rigor

SEPTEMBER 11, 2019

Philip is a f ull stack architect, developer, and geek working primarily with the web to build applications that are scalable, performant and secure without compromising on usability. Would you like to be a part of Big Data and this incredible project? You can follow Steve on Twitter @ souders or watch his talks on YouTube.

Performance 89

Performance Education Google Website 89

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Currently, an issue has been opened to make the “tailing” based on the primary key much faster: slow order by primary key with small limit on big data. count()?? ? 1 rows in set.

Database 45

Database Analytics Blockchain Healthcare 45