ScaleOut Software

JULY 19, 2021

Incoming data is saved into data storage (historian database or log store) for query by operational managers who must attempt to find the highest priority issues that require their attention. The best they can usually do in real-time using general purpose tools is to filter and look for patterns of interest.

IoT 78

IoT Analytics Big Data Architecture 78

Scalegrid

MAY 13, 2020

Greenplum uses an MPP database design that can help you develop a scalable, high performance deployment. High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Greenplum features a cost-based query optimizer for large-scale, big data workloads.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

All Things Distributed

DECEMBER 8, 2016

Given this, enterprises, public sector bodies, startups, and small businesses are looking to adopt agile, scalable, and secure public cloud solutions. Access to secure, scalable, low-cost AWS infrastructure in Canada allows customers to innovate and provide tools to meet privacy, sovereignty, and compliance requirements. Scalability.

AWS 155

AWS Cloud Lambda Innovation 155

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. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

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. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

The Netflix TechBlog

DECEMBER 21, 2020

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203

Storage Latency Efficiency Data Engineering 203

All Things Distributed

AUGUST 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. As some of you may remember I was pretty excited when Amazon Simple Storage Service (S3) released its website feature such that I could serve this weblog completely from S3. Driving Storage Costs Down for AWS Customers. All Things Distributed.

Servers 126

Servers Social Media AWS Website 126

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. For example a number of our European customers are subject to data residency requirements when it comes to PII data and they use the EU Region to meet to those requirements. Government and Big Data. All Things Distributed. Comments ().

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

SEPTEMBER 6, 2013

Europe is a continent with much diversity and for each country there are great AWS customer examples to tell. Here are some great examples from different industries each with unique use cases. Shell leverages AWS for big data analytics to help achieve these goals.

Cloud 129

Cloud Energy AWS Healthcare 129

All Things Distributed

JUNE 29, 2011

Werner Vogels weblog on building scalable and robust distributed systems. For example, when our retail customers contributed to create larger economies of scale for Amazon.com, we used the savings to lower pricing such that our customers could also benefit. Driving Storage Costs Down for AWS Customers. All Things Distributed.

AWS 104

AWS Retail Innovation Strategy 104

All Things Distributed

MAY 24, 2011

Werner Vogels weblog on building scalable and robust distributed systems. allthingsdistributed.com) point to same location where for example www.allthingsdistributed.com is pointing to jump through complex redirect hoops. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

Internet 114

Internet Internet AWS Scalability 114

All Things Distributed

JANUARY 11, 2011

Werner Vogels weblog on building scalable and robust distributed systems. DROAM - Dreaming about Cheap Data Roaming. The one thing that I have always struggled with during my travels are the data plans of the cell phone companies. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

Wireless 107

Wireless AWS Internet Internet 107

All Things Distributed

APRIL 23, 2010

Werner Vogels weblog on building scalable and robust distributed systems. As examples of such services I always use Twillio (voice &sms) and Simplegeo (location), but it is time to start building out my knowledge of all the different services that are in the ecosystem. Driving Storage Costs Down for AWS Customers. Comments ().

AWS 60

AWS Storage Cloud Big Data 60

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. A simple example is the situation with Persons and Telephones; a person has a name, a person can have one or more telephones and each phone can have one or more telephone numbers. Driving Storage Costs Down for AWS Customers. All Things Distributed.

Cloud 117

Cloud Internet Internet AWS 117

All Things Distributed

DECEMBER 3, 2009

Werner Vogels weblog on building scalable and robust distributed systems. This new Region consists of multiple Availability Zones and provides low-latency access to the AWS services from for example the Bay Area. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Comments ().

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Cluster Compute Instances for Amazon EC2 change the HPC game for two important reasons: Access to scalable on-demand capacity. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. All Things Distributed.

Cloud 118

Cloud AWS Automotive Latency 118

Dynatrace

APRIL 20, 2023

“Logs magnify these issues by far due to their volatile structure, the massive storage needed to process them, and due to potential gold hidden in their content,” Pawlowski said, highlighting the importance of log analysis. “The weakness of a data lake is they fail when you need to access them fast,” Pawlowski said.

Analytics 180

Analytics Infrastructure Storage Efficiency 180

Dynatrace

JANUARY 11, 2023

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. For example, uptime detection can identify database instability and help to improve mean time to restoration. Cloud storage monitoring.

Cloud 217

Cloud Monitoring Best Practices Infrastructure 217

All Things Distributed

APRIL 28, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Jurisdictions - Some customers face regulatory requirements regarding where data is stored. For example, objects stored in the EU (Ireland) Region never leave the EU. Driving Storage Costs Down for AWS Customers. All Things Distributed. Comments ().

AWS 61

AWS Cloud Latency Storage 61

All Things Distributed

DECEMBER 3, 2009

Werner Vogels weblog on building scalable and robust distributed systems. But customers have also asked us for more flexibility and control in the way that Amazon EC2 instances are booted such that they have finer grained control over for example what software configurations and data sets are available to the instance at boot time.

AWS 60

AWS Storage Operating System Cloud 60

Dynatrace

OCTOBER 4, 2022

Teams have introduced workarounds to reduce storage costs. Additionally, efforts such as lowered data retention times, two-tiered storage systems, shaky index management, sampled data, and data pipelines reduce the overall amount of stored data. Dynatrace discovers logs automatically at scale.

Analytics 227

Analytics Artificial Intelligence Storage Serverless 227

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. Moving data with Bulldozer at Netflix.

Latency 243

Latency Storage Big Data Tuning 243

All Things Distributed

DECEMBER 13, 2009

Werner Vogels weblog on building scalable and robust distributed systems. Consistently we have lowered compute, storage and bandwidth prices based on such cost savings. Ideally these applications will periodically save their state into, for example, EBS or Amazon S3 and upon restart read the last saved state and continue their work.

Cloud 63

Cloud AWS Storage Innovation 63

All Things Distributed

DECEMBER 13, 2016

Take Peterborough City Council as an example. The council has deployed IoT Weather Stations in Schools across the City and is using the sensor information collated in a Data Lake to gain insights on whether the weather or pollution plays a part in learning outcomes. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

MAY 18, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. Today a new storage option for Amazon S3 has been launched: Amazon S3 Reduced Redundancy Storage (RRS). By Werner Vogels on 18 May 2010 04:00 PM. Comments (). Durability in Amazon S3.

Storage 71

Storage Cloud AWS Scalability 71

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. For example, to construct a product detail page for a customer visiting Amazon.com, our software calls on between 200 and 300 services to present a highly personalized experience for that customer. All Things Distributed. Comments ().

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

MARCH 28, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Our smart phones and tablets are obvious examples, but many other devices are quickly gaining these capabilities; TV Sets and Hifi systems are internet enabled, and soon our treadmills and automobiles will be equally plugged into the digital world. Comments ().

AWS 138

AWS Cloud Storage Internet 138

All Things Distributed

FEBRUARY 17, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Since a few days ago this weblog serves 100% of its content directly out of the Amazon Simple Storage Service (S3) without the need for a web server to be involved. Driving Storage Costs Down for AWS Customers. Driving down the cost of Big-Data analytics.

AWS 134

AWS Website Storage Servers 134

Highly Scalable

MARCH 1, 2012

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. Besides this, elimination of these features had an extremely important influence on the performance and scalability of the stores. Many techniques that are described below are perfectly applicable to this model.

Database 279

Database Ecommerce Efficiency Engineering 279

The Morning Paper

JUNE 23, 2019

Coupled with stateless application servers to execute business logic and a database-like system to provide persistent storage, they form a core component of popular data center service archictectures. 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 Lambda 79

All Things Distributed

FEBRUARY 25, 2011

Werner Vogels weblog on building scalable and robust distributed systems. They had taken the approach that they would not only be offering their software as a scalable multi-tenant product but also as a single tenant environment for customers that want to have their own isolated environment. Driving down the cost of Big-Data analytics.

AWS 121

AWS Cloud Scalability Storage 121

All Things Distributed

DECEMBER 9, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Big Just Got Bigger - 5 Terabyte Object Support in Amazon S3. Amazon S3 has always been a scalable, durable and available data repository for almost any customer workload. For example, a 2-hour movie on Blu-ray can be 50 gigabytes.

AWS 80

AWS Big Data Scalability Storage 80

All Things Distributed

FEBRUARY 24, 2010

Werner Vogels weblog on building scalable and robust distributed systems. There are many factors that come into play when you need to meet stringent availability and performance requirements under ultra-scalable conditions. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

AWS 69

AWS Latency Database Scalability 69

All Things Distributed

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. For example, the most fundamental abstraction trade-off has always been latency versus throughput. GPUs work best on problem sets that are ideally solved using massive fine-grained parallelism, using for example at least 5,000 - 10,000 threads.

AWS 136

AWS Latency Programming Architecture 136

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). In a partitioned massively parallel database system, the storage format and sorting algorithm may not be optimized for that operation as we are reading multiple partitions in parallel. group by a.w,

Database 40

Database Analytics Blockchain Healthcare 40