Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). One use case for STM is to model the behavior of a customer in the form of a flow of transactions along the buyer’s journey.

Monitoring 200

Monitoring Social Media IoT Metrics 200

All Things Distributed

MARCH 2, 2011

Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. The advanced Asia Pacific network infrastructure also makes the AWS Tokyo Region a viable low-latency option for customers from South Korea. Subscribe to this weblogs.

AWS 112

AWS Cloud Games Latency 112

All Things Distributed

DECEMBER 14, 2011

This new Region has been highly requested by companies worldwide, and it provides low-latency access to AWS services for those who target customers in South America. The new Sao Paulo Region provides better latency to South America, which enables AWS customers to deliver higher performance services to their South American end-users.

AWS 114

AWS Latency Storage Big Data 114

Abhishek Tiwari

JULY 12, 2018

It can be used to power new analytics, insight, and product features. It can be used to power new analytics, insight, and product features. These nodes and edges require a good amount of compute and storage which is typically distributed across a large number servers either running in the cloud or your own data center.

Latency 63

Latency Analytics Scalability Engineering 63

Scalegrid

MARCH 28, 2024

This article will explore how they handle data storage and scalability, perform in different scenarios, and, most importantly, how these factors influence your choice. Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. Memcached’s primary strength lies in its simplicity.

Cache 130

Cache Storage Scalability Architecture 130

All Things Distributed

AUGUST 16, 2011

There are different considerations when deciding where to allocate resources with latency and cost being the two obvious ones, but compliance sometimes plays an important role as well. The Cloud First strategy is most visible with new Federal IT programs, which are all designed to be â??Cloud Cloud Readyâ??; Government and Big Data.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

JULY 13, 2010

Cluster Computer Instances for Amazon EC2 are a new instance type specifically designed for High Performance Computing applications. Other industries using Amazon EC2 for HPC-style workloads include pharmaceuticals, oil exploration, industrial and automotive design, media and entertainment, and more. Subscribe to this weblogs.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 3, 2009

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. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 60

AWS Cloud Latency Storage 60

All Things Distributed

JULY 11, 2011

As a part of that process, we also realized that there were a number of latency sensitive or location specific use cases like Hadoop, HPC, and testing that would be ideal for Spot. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. Driving down the cost of Big-Data analytics.

AWS 85

AWS Storage Cloud Big Data 85

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

All Things Distributed

DECEMBER 5, 2010

We have designed Route 53 to propagate updates very quickly and give the customer the tools to find out when all changes have been propagated. Low-latency query resolution The query resolution functionality of Route 53 is based on anycast, which will route the request automatically to the DNS server that is the closest. or rss feed.

Cloud 117

Cloud Internet Internet AWS 117

HammerDB

DECEMBER 5, 2020

The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput.

C++ 40

C++ Benchmarking Virtualization Open Source 40

Dynatrace

OCTOBER 4, 2022

Data warehouses offer a single storage repository for structured data and provide a source of truth for organizations. Unlike data warehouses, however, data is not transformed before landing in storage. A data lakehouse provides a cost-effective storage layer for both structured and unstructured data. Query language.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Scalegrid

MARCH 14, 2024

Public Cloud Infrastructure Third-party providers run public cloud services, delivering a broad array of offerings like computing power, storage solutions, and network capabilities that enhance the functionality of a hybrid cloud architecture. We will examine each of these elements in more detail.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

The Morning Paper

SEPTEMBER 10, 2019

Procella: unifying serving and analytical data at YouTube Chattopadhyay et al., That’s hard for many reasons, including the differing trade-offs between throughput and latency that need to be made across the use cases. Oh, and in additional to low latency, “ we require access to fresh data.” VLDB’19.

Analytics 75

Analytics Latency Cache Google 75

Dynatrace

JANUARY 31, 2024

million” – Gartner Data observability is a practice that helps organizations understand the full lifecycle of data, from ingestion to storage and usage, to ensure data health and reliability. Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality.

DevOps 192

DevOps Analytics Airlines Metrics 192

All Things Distributed

NOVEMBER 19, 2010

Understanding Throughput-Oriented Architectures - background article in CACM on massively parallel and throughput vs latency oriented architectures. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications.

AWS 67

AWS Cloud Benchmarking Storage 67

All Things Distributed

APRIL 28, 2010

There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. The new Singapore Region offers customers in APAC lower-latency access to AWS services. Driving Storage Costs Down for AWS Customers. Expanding the Cloud - The AWS Storage Gateway.

AWS 61

AWS Cloud Latency Storage 61

Highly Scalable

AUGUST 20, 2013

This system has been designed to supplement and succeed the existing Hadoop-based system that had too high latency of data processing and too high maintenance costs. The design of the in-stream processing engine itself was driven by the following requirements: SQL-like functionality. Fault-tolerance.

Big Data 154

Big Data Processing Lambda Database 154

Scalegrid

JANUARY 12, 2024

Storage is a critical aspect to consider when working with cloud workloads. High availability storage options within the context of cloud computing involve highly adaptable storage solutions specifically designed for storing vast amounts of data while providing easy access to it.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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 data warehouse is not designed to serve point requests from microservices with low latency.

Latency 243

Latency Storage Big Data Tuning 243

Highly Scalable

MAY 1, 2012

Statistical analysis and mining of huge multi-terabyte data sets is a common task nowadays, especially in the areas like web analytics and Internet advertising. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases.

Analytics 191

Analytics Traffic Big Data Efficiency 191

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. Amazon Simple Storage Service (S3). The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Amazon Redshift.

AWS 135

AWS Metrics IoT Storage 135

Dynatrace

DECEMBER 22, 2019

AWS offers a broad set of global, cloud-based services including computing, storage, networking, Internet of Things (IoT), and many others. Amazon Kinesis Data Analytics. Amazon Simple Storage Service (S3). The example below visualizes average latency by API name and stage for a specific AWS API Gateway. Amazon Redshift.

AWS 132

AWS Metrics IoT Storage 132

Percona

JULY 17, 2023

Instead of the table-based structure of relational databases, MongoDB stores data in documents and collections, a design for handling large amounts of unstructured data and for real-time web applications. It’s a good setup for real-time analytics and high-speed logging. It ranks No.

Open Source 77

Open Source Database Scalability Software 77

All Things Distributed

JUNE 21, 2018

Further, with the growth and scale of Amazon.com, boundless horizontal scale needed to be a key design point--scaling up simply wasn't an option. Use cases such as gaming, ad tech, and IoT lend themselves particularly well to the key-value data model where the access patterns require low-latency Gets/Puts for known key values.

Database 167

Database AWS Games Latency 167

ACM Sigarch

DECEMBER 6, 2018

smart cameras & analytics) to interactive/immersive environments and autonomous driving (e.g. Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems. cameras) in many usages ranging from digital security/surveillance and automated retail (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

All Things Distributed

JANUARY 18, 2012

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. Amazon DynamoDB offers low, predictable latencies at any scale. Comments ().

Scalability 167

Scalability Database Ecommerce Latency 167

Abhishek Tiwari

DECEMBER 27, 2017

It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake. Delta implements the unified data management layer by extending the Amazon S3 object storage for ACID transactions and automatic data indexing.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

Abhishek Tiwari

NOVEMBER 3, 2018

Most of the CMS vendors dodge questions of evolution by talking about incremental innovation primarily focused on customer experience (CX) such as analytics and personalisation. Alternatively, you can upload output directory to cloud object/blob storage such as Amazon S3 or Azure Blob Storage and serve your site from there.

Systems 63

Systems Cache Website Network 63

Alex Russell

MARCH 6, 2021

A then-representative $200USD device had 4-8 slow (in-order, low-cache) cores, ~2GiB of RAM, and relatively slow MLC NAND flash storage. Chip design choices and silicon economics are the defining feature of the still-growing Performance Inequality Gap. The Moto G4 , for example. Don't pay a lot for an Android-shaped muffler.

Performance 124

Performance Network Cache Metrics 124

All Things Distributed

NOVEMBER 15, 2010

For example, the most fundamental abstraction trade-off has always been latency versus throughput. These trade-offs have even impacted the way the lowest level building blocks in our computer architectures have been designed. The throughput of this pipeline is more important than the latency of the individual operations.

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

FEBRUARY 24, 2010

These new features will make it easier to transition those applications to SimpleDB that are designed with traditional database tools in mind. Achieving strict consistency can come at a cost in update or read latency, and may result in lower throughput. Lowest read latency. Higher read latency. Consistent read.

AWS 69

AWS Latency Database Scalability 69

ScaleOut Software

MAY 4, 2014

Usually this means moving to a server with more CPU cores, greater memory capacity, and higher-end networking and storage options. Now CPU, memory, and storage resources can grow without predefined limits. At some point, scaling up becomes costly, and workloads grow beyond what even a high end server can handle.

Network 40

Network Servers Analytics Storage 40

Alex Russell

JULY 14, 2021

The benefits to apps that adopt WebView-based IABs are numerous: WebViews are system components designed for use within other apps. Here, native apps are doing work related to their core function; storage and tracking of user data are squarely within the four corners of the app's natural responsibilities. How can that be?

Google 121

Google Mobile Engineering Internet 121

ScaleOut Software

MAY 15, 2014

For example, the IMDG must be able to efficiently create millions of objects in each server to make use of its huge storage capacity. Likewise, object access paths must be heavily multi-threaded and avoid lock contention to minimize access latency and maximize throughput. A Few Words on Design Philosophy: Keep It Simple.

Cache 40

Cache Servers Network Design 40