ScaleOut Software

JULY 19, 2021

Today’s streaming analytics architectures are not equipped to make sense of this rapidly changing information and react to it as it arrives. 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.

IoT 78

IoT Analytics Big Data Architecture 78

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

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

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

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

All Things Distributed

JULY 16, 2012

Werner Vogels weblog on building scalable and robust distributed systems. There are sessions in many different categories: Architecture, Big Data, HPC, Computer & Networking, Storage, Databases, Security, Tools & Languages, Media Sharing & Content Delivery, Managing AWS Resources, Enterprise IT, Mobile, Start-up, and more.

AWS 85

AWS Big Data Media Storage 85

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. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 19, 2011

Werner Vogels weblog on building scalable and robust distributed systems. AWS Database Services is responsible for setting the database strategy and delivering distributed structured storage services to our AWS customers. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

AWS 77

AWS Database Storage Scalability 77

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 130

Cloud Energy AWS Healthcare 130

Dynatrace

APRIL 20, 2023

Logs highlight observability challenges Ingesting, storing, and processing the unprecedented explosion of data from sources such as software as a service, multicloud environments, containers, and serverless architectures can be overwhelming for today’s organizations. Seamless integration.

Analytics 189

Analytics Infrastructure Storage Efficiency 189

All Things Distributed

SEPTEMBER 30, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Visiting future customers is equally exiting as you get a change to understand their current architecture, if it is a migration, and how they plan to exploit cloud services in their new setup. Driving Storage Costs Down for AWS Customers. Comments ().

AWS 77

AWS Storage Cloud Best Practices 77

All Things Distributed

NOVEMBER 19, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Big news this week was of course the launch of Cluster GPU instances for Amazon EC2. Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. Comments ().

AWS 68

AWS Cloud Benchmarking Storage 68

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Additionally, many high-end HPC applications take advantage of knowing their in-house hardware platforms to achieve major speedup by exploiting the specific processor architecture. Driving Storage Costs Down for AWS Customers. All Things Distributed.

Cloud 119

Cloud AWS Automotive Latency 119

Brendan Gregg

APRIL 30, 2018

LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. In fact, we’d link to the first LISA conference website for reference, but this conference not only predates the Wayback Machine – it also predates the World Wide Web!

DevOps 43

DevOps Network Best Practices Programming 43

Brendan Gregg

APRIL 29, 2018

LISA originally stood for "Large Installation System Administration," where "large" meant systems with more than a gigabyte of storage, or with more than 100 users. In fact, we’d link to the first LISA conference website for reference, but this conference not only predates the Wayback Machine – it also predates the World Wide Web!

DevOps 40

DevOps Network Best Practices Programming 40

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Often these namespaces are hierarchical in nature such that it becomes easier to manage them and to decentralize control, which makes the system more scalable. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

Cloud 117

Cloud Internet Internet AWS 117

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. Cloud storage monitoring. Hybrid cloud combines an on-premises or private data center with public cloud infrastructure.

Cloud 224

Cloud Monitoring Best Practices Infrastructure 224

Dynatrace

OCTOBER 4, 2022

Limited data availability constrains value creation. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. Teams have introduced workarounds to reduce storage costs. Dynatrace discovers logs automatically at scale.

Analytics 236

Analytics Artificial Intelligence Storage Serverless 236

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

APRIL 27, 2011

Werner Vogels weblog on building scalable and robust distributed systems. To our shareowners: Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. Driving Storage Costs Down for AWS Customers.

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

MARCH 28, 2011

Werner Vogels weblog on building scalable and robust distributed systems. The scalability, reliability and durability requirements for Cloud Drive are very high which is why they decided to make use of the Amazon Simple Storage Service (S3) as the core component of their service. Driving Storage Costs Down for AWS Customers.

AWS 138

AWS Cloud Storage Internet 138

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

NOVEMBER 15, 2010

Werner Vogels weblog on building scalable and robust distributed systems. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. All Things Distributed. Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. Comments ().

AWS 136

AWS Latency Programming Architecture 136

ACM Sigarch

NOVEMBER 1, 2019

This blog post gives a glimpse of the computer systems research papers presented at the USENIX Annual Technical Conference (ATC) 2019, with an emphasis on systems that use new hardware architectures. As a consequence, the vast majority of the papers in the past has usually focused on conventional X86 or GPU-accelerated architectures.

Architecture 12

Architecture Hardware Cache Storage 12