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

The Netflix TechBlog

MAY 4, 2023

The first phase involves validating functional correctness, scalability, and performance concerns and ensuring the new systems’ resilience before the migration. Additionally, for mismatches, we record the normalized and unnormalized responses from both sides to another big data table along with other relevant parameters, such as the diff.

Traffic 339

Traffic Latency Tuning Systems 339

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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. On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring.

Storage 203

Storage Latency Efficiency Data Engineering 203

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. 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

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. ITAR is the International Traffic in Arms Regulatory framework which stipulates for example that data must be stored in an environment where physical and logical access is restricted to US Persons. Government and Big Data. All Things Distributed.

AWS 111

AWS Government Big Data Cloud 111

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.

Cache 130

Cache Storage Scalability Architecture 130

DZone

FEBRUARY 23, 2023

Introduction With big data streaming platform and event ingestion service Azure Event Hubs , millions of events can be received and processed in a single second. Any real-time analytics provider or batching/storage adaptor can transform and store data supplied to an event hub.

Azure 294

Azure Big Data Analytics Storage 294

All Things Distributed

SEPTEMBER 6, 2013

Shell leverages AWS for big data analytics to help achieve these goals. Due to the exponential growth of the biology and informatics fields, Unilever needs to maintain this new program within a highly-scalable environment that supports parallel computation and heavy data storage demands.

Cloud 129

Cloud Energy AWS Healthcare 129

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. 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

All Things Distributed

JULY 11, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Spot Instances are ideal for use cases like web and data crawling, financial analysis, grid computing, media transcoding, scientific research, and batch processing. Driving Storage Costs Down for AWS Customers. All Things Distributed. Comments ().

AWS 85

AWS Storage Cloud Big Data 85

Dynatrace

APRIL 20, 2023

-based financial services group, discussed how the bank uses log monitoring on the Dynatrace platform with an emphasis on observability and security data. To grasp the challenges of multifeatured, cross-team cooperation dealing with observability data, consider the content of the logs generated. Seamless integration.

Analytics 187

Analytics Infrastructure Storage Efficiency 187

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

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. Website monitoring examines a cloud-hosted website’s processes, traffic, availability, and resource use. Cloud storage monitoring.

Cloud 223

Cloud Monitoring Best Practices Infrastructure 223

All Things Distributed

DECEMBER 3, 2009

Werner Vogels weblog on building scalable and robust distributed systems. In the traditional boot process, the root partition of the image will be the local disk, which is created and populated at boot time. And the new boot process is significantly faster because a local disk no longer needs to be populated. Comments ().

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 234

Analytics Artificial Intelligence Storage Serverless 234

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, 2016

With the launch of the AWS Europe (London) Region, AWS can enable many more UK enterprise, public sector and startup customers to reduce IT costs, address data locality needs, and embark on rapid transformations in critical new areas, such as big data analysis and Internet of Things.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

OCTOBER 7, 2015

In such a data intensive environment, making key business decisions such as running marketing and sales campaigns, logistic planning, financial analysis and ad targeting require deriving insights from these data. However, the data infrastructure to collect, store and process data is geared toward developers (e.g.,

Cloud 137

Cloud Big Data AWS Analytics 137

All Things Distributed

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The storage systems weve pioneered demonstrate extreme scalability while maintaining tight control over performance, availability, and cost. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

Technology 151

Technology Technology AWS Storage 151

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

All Things Distributed

MARCH 28, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The methods for accessing these objects is also rapidly changing; where in the past you needed a PC or a Laptop to access these objects, now many of our electronic devices have become capable of processing them. Driving Storage Costs Down for AWS Customers.

AWS 138

AWS Cloud Storage Internet 138

The Morning Paper

JUNE 23, 2019

Factor VI in the 12-factor app manifesto , “Execute the app as one or more stateless processes,” to be dropped and replaced with “Execute the app as one or more stateful processes.” session state that you want to survive an application process crash), and to keep the application server/services layer stateless.

Cache 79

Cache Latency Google Lambda 79

The Morning Paper

SEPTEMBER 19, 2019

Autoscaling tiered cloud storage in Anna. It handles an order of magnitude more throughput than a prototype built on a stream processing engine. Could it be Analyzing efficient stream processing on modern hardware ? Research papers. (In In random order!). for machine generated emails sent to humans). What’s their secret???

Blockchain 46

Blockchain Hardware Google Analytics 46

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. Data duplication and denormalization are first-class citizens.

Database 279

Database Ecommerce Efficiency Engineering 279

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

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. From financial processing and traditional oil & gas exploration HPC applications to integrating complex 3D graphics into online and mobile applications, the applications of GPU processing appear to be limitless. All Things Distributed. Comments ().

AWS 136

AWS Latency Programming Architecture 136

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. Heterogeneous ISA.

Architecture 12

Architecture Hardware Cache Storage 12

Percona

JANUARY 14, 2019

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Processed 4.15 The data is partitioned and sorted by created_utc so queries which include created_utc will be able to using partition pruning: therefore skip the not-needed partitions.

Database 40

Database Analytics Blockchain Healthcare 40