Dynatrace

DECEMBER 15, 2022

In fact, Gartner estimates that 80% of enterprises will shut down their on-premises data centers by 2025. This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. So, what is ITOps? Why is IT operations important?

Artificial Intelligence 216

Artificial Intelligence DevOps Hardware Virtualization 216

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Seer is an online system that observes the behaviour of cloud applications (using the DeathStarBench microservices for the evaluation) and predicts when QoS violations may be about to occur. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

The Morning Paper

OCTOBER 26, 2020

As a production system within Microsoft capturing around a quadrillion events and indexing 16 trillion search keys per day it would be interesting in its own right, but there’s a lot more to it than that. These two narratives of reference architecture and ingestion/indexing system are interwoven throughout the paper.

Cloud 104

Cloud Big Data Latency Architecture 104

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.

Latency 249

Latency Storage Big Data Tuning 249

The Netflix TechBlog

MARCH 4, 2024

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Upon further profiling, we found that most of the latency came from the candidate generated step (i.e.,

Tuning 214

Tuning Efficiency Big Data Engineering 214

The Netflix TechBlog

JULY 26, 2021

This happens at an unprecedented scale and introduces many interesting challenges; one of the challenges is how to provide visibility of Studio data across multiple phases and systems to facilitate operational excellence and empower decision making.

Big Data 256

Big Data Government Processing Analytics 256

Scalegrid

MARCH 28, 2024

Advanced Redis Features Showdown Big data center concept, cloud database, server power station of the future. Data transfer technology. Cube or box Block chain of abstract financial data. High data availability is achieved. Synchronization of personal information. </p>

Cache 130

Cache Storage Architecture Scalability 130

VoltDB

OCTOBER 17, 2024

Artificial Intelligence (AI) and Machine Learning (ML) AI and ML algorithms analyze real-time data to identify patterns, predict outcomes, and recommend actions. Big Data Analytics Handling and analyzing large volumes of data in real-time is critical for effective decision-making.

Automotive 52

Automotive IoT Energy Artificial Intelligence 52

ScaleOut Software

JULY 19, 2021

How are we managing the torrent of telemetry that flows into analytics systems from these devices? If temperature-sensitive cargo in a long haul truck is about to be impacted by an erratic refrigeration system with known erratic behavior and repair history, the driver needs to be informed immediately. The list goes on.

IoT 78

IoT Big Data Analytics Architecture 78

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. This combination allows for the fluid movement of data and applications across different environments, facilitating shared workloads seamlessly. The tool must be compatible with your current systems.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

ACM Sigarch

MAY 31, 2023

Introduction Memory systems are evolving into heterogeneous and composable architectures. 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. The recently announced CXL3.0

Latency 52

Latency Hardware Cache Architecture 52

VoltDB

MARCH 13, 2024

In the age of big-data-turned-massive-data, maintaining high availability , aka ultra-reliability, aka ‘uptime’, has become “paramount”, to use a ChatGPT word. Automated systems depend on each other for the rapid responses that enable them to continue working. What is high availability?

Availability 52

Availability Latency DevOps Systems 52

The Netflix TechBlog

DECEMBER 21, 2020

Use cases We found several use cases where a system like AutoOptimize can bring tons of value. Some of the optimizations are prerequisites for a high-performance data warehouse. Sometimes Data Engineers write downstream ETLs on ingested data to optimize the data/metadata layouts to make other ETL processes cheaper and faster.

Storage 209

Storage Latency Efficiency Data Engineering 209

All Things Distributed

JANUARY 6, 2016

A region in South Korea has been highly requested by companies around the world who want to take full advantage of Korea’s world-leading Internet connectivity and provide their customers with quick, low-latency access to websites, mobile applications, games, SaaS applications, and more.

AWS 105

AWS Cloud Games Latency 105

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. Why are developers using RInK systems as part of their design? Fetching too much data in a single query (i.e.,

Cache 79

Cache Latency Google Network 79

Abhishek Tiwari

DECEMBER 27, 2017

Unified data management architecture. A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL. For instance, Alluxio, originally known as Tachyon, can potentially use Arrow as its in-memory data structure.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

All Things Distributed

SEPTEMBER 5, 2013

Over the past few years, two important trends that have been disrupting the database industry are mobile applications and big data. The explosive growth in mobile devices and mobile apps is generating a huge amount of data, which has fueled the demand for big data services and for high scale databases.

Big Data 87

Big Data Mobile Latency Database 87

All Things Distributed

NOVEMBER 12, 2012

Werner Vogels weblog on building scalable and robust distributed systems. This new Asia Pacific (Sydney) Region has been highly requested by companies worldwide, and it provides low latency access to AWS services for those who target customers in Australia and New Zealand. All Things Distributed. Expanding the Cloud â?? Comments ().

Cloud 106

Cloud AWS Ecommerce Latency 106

Adrian Cockcroft

NOVEMBER 18, 2024

uses big data to reduce methane emissions Trace gases including methane and carbon dioxide contribute to climate change and impact the health of millions of people across the globe. To stay resilient, customers need to quickly develop scalable systems to ingest and analyze large datasets with real-time climate and location information.

AWS 98

AWS Energy Lambda Government 98

All Things Distributed

MARCH 2, 2011

Werner Vogels weblog on building scalable and robust distributed systems. Japanese companies and consumers have become used to low latency and high-speed networking available between their businesses, residences, and mobile devices. Driving down the cost of Big-Data analytics. By Werner Vogels on 01 March 2011 10:00 PM.

AWS 104

AWS Cloud Games Latency 104

All Things Distributed

DECEMBER 12, 2018

They can run applications in Sweden, serve end users across the Nordics with lower latency, and leverage advanced technologies such as containers, serverless computing, and more. We help Supercell to quickly develop, deploy, and scale their games to cope with varying numbers of gamers accessing the system throughout the course of the day.

AWS 121

AWS Cloud Games Serverless 121

All Things Distributed

DECEMBER 14, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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. Additionally, it allows them to keep their data inside of Brazil. All Things Distributed.

AWS 112

AWS Latency Storage Cloud 112

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. The throughput of this pipeline is more important than the latency of the individual operations. All Things Distributed. Comments ().

AWS 130

AWS Programming Latency Architecture 130

All Things Distributed

DECEMBER 5, 2010

Werner Vogels weblog on building scalable and robust distributed systems. I am very excited that today we have launched Amazon Route 53, a high-performance and highly-available Domain Name System (DNS) service. Naming is one of the fundamental concepts in Distributed Systems. By Werner Vogels on 05 December 2010 02:00 PM.

Cloud 116

Cloud Internet Internet AWS 116

All Things Distributed

JULY 13, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Not just for HPC but for mission critical enterprise systems such as OLTP. Cluster Compute Instances can be grouped as cluster using a "cluster placement group" to indicate that these are instances that require low-latency, high bandwidth communication.

Cloud 110

Cloud AWS Automotive Latency 110

All Things Distributed

AUGUST 16, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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. Government and Big Data. All Things Distributed. Comments ().

AWS 102

AWS Government Big Data Cloud 102

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 down the cost of Big-Data analytics. All Things Distributed. Comments (). Contact Info. Werner Vogels.

AWS 60

AWS Cloud Latency Storage 60

Highly Scalable

MAY 1, 2012

Analysis of such large data sets often requires powerful distributed data stores like Hadoop and heavy data processing with techniques like MapReduce. This approach often leads to heavyweight high-latency analytical processes and poor applicability to realtime use cases. what is the cardinality of the data set)?

Analytics 191

Analytics Traffic Big Data Efficiency 191

All Things Distributed

JULY 11, 2011

Werner Vogels weblog on building scalable and robust distributed systems. 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 down the cost of Big-Data analytics. All Things Distributed.

AWS 77

AWS Storage Cloud Big Data 77

All Things Distributed

FEBRUARY 24, 2010

Werner Vogels weblog on building scalable and robust distributed systems. Architecting distributed systems that need to reliably operate at world-wide scale is not a simple task. A whole field of computer science is dedicated to finding solutions for the hard problems of building reliable distributed systems. Comments ().

AWS 65

AWS Latency Database Scalability 65

All Things Distributed

APRIL 28, 2010

Werner Vogels weblog on building scalable and robust distributed systems. 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. All Things Distributed.

AWS 61

AWS Cloud Latency Storage 61

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 64

AWS Cloud Benchmarking Storage 64

All Things Distributed

JUNE 20, 2017

This enables customers to serve content to their end users with low latency, giving them the best application experience. In 2008, AWS opened a point of presence (PoP) in Hong Kong to enable customers to serve content to their end users with low latency. Since then, AWS has added two more PoPs in Hong Kong, the latest in 2016.

AWS 137

AWS Logistics Cloud Social Media 137

All Things Distributed

SEPTEMBER 29, 2016

Based in the Paris area, the region will provide even lower latency and will allow users who want to store their content in datacenters in France to easily do so. He has said, “By moving a large part of our IT system from our old IBM mainframe to AWS, we have adopted a cloud first strategy, boosting our power of innovation.

AWS 163

AWS IoT Internet Internet 163

All Things Distributed

APRIL 4, 2017

It will also give customers another region where they can store their data with the knowledge that it will not leave the EU unless they move it. This enables customers to serve content to their end users with low latency, giving them the best application experience. AWS was crucial to the successful launch of WOW air’s U.S.

AWS 112

AWS Airlines Latency Games 112

Testsigma

FEBRUARY 12, 2021

The Internet of Things is generally referred to as IoT which encompasses computers, cars, houses or some other technological system related. of companies invest over US$ 50 million in initiatives such as Artificial Intelligence (AI) and Big Data in 2020, up from 39.7% IoT Test Automation. billion in 2016. billion by 2025, up 32.6

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92