All Things Distributed

NOVEMBER 5, 2015

We are committed to meeting our customers’ increasing needs for capacity and for powerful AWS services that eliminate the heavy lifting of the underlying IT infrastructure -- allowing them to focus more of their precious resources on their core business.

AWS 167

AWS Retail Entertainment IoT 167

All Things Distributed

JANUARY 6, 2016

In November, Amazon Web Services announced that it would launch a new AWS infrastructure region in South Korea. For example, Samsung Electronic Printing used AWS to deploy its Printing Apps Center in a way that didn’t require them to invest up-front capital and kept total costs quite low.

AWS 110

AWS Cloud Games Latency 110

All Things Distributed

JUNE 26, 2016

In June 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in India. Market innovators and change agents need a comprehensive infrastructure platform that can reliably scale on-demand. Advanced problem solving that connects big data with machine learning.

AWS 90

AWS Cloud Healthcare Blockchain 90

All Things Distributed

DECEMBER 8, 2016

Earlier this year, Amazon Web Services (AWS) announced it would launch a new AWS infrastructure region in Montreal, Quebec. The new Canada (Central) Region offers a robust suite of infrastructure, management, and developer services that can enable innovators to deploy market-leading applications. in the coming year. Performance.

AWS 155

AWS Cloud Lambda Innovation 155

Dynatrace

JUNE 29, 2022

More than 90% of enterprises now rely on a hybrid cloud infrastructure to deliver innovative digital services and capture new markets. That’s because cloud platforms offer flexibility and extensibility for an organization’s existing infrastructure. Dynatrace news. With public clouds, multiple organizations share resources.

Infrastructure 182

Infrastructure Cloud Azure AWS 182

All Things Distributed

AUGUST 16, 2011

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. The move to the cloud is projected by 2015 see a reduction of 30% in IT infrastructure costs, which amounts to $7.2 Government and Big Data.

AWS 111

AWS Government Big Data Cloud 111

All Things Distributed

DECEMBER 20, 2017

In today's era of global digitalization there are many examples that show that IT does matter. In this way, designers are part of an ecosystem in which the functionalities of simulations, data and people come together, enabling them to develop better products faster. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

The Netflix TechBlog

OCTOBER 15, 2019

For example, XA transactions block execution if the application process fails during the prepare phase; moreover, XA provides no deadlock detection and no support for optimistic concurrency-control schemes. The tradeoff is potential broker data inconsistencies in various edge scenarios.

Transportation 192

Transportation Architecture Processing Storage 192

Dynatrace

MAY 1, 2023

IT operations analytics is the process of unifying, storing, and contextually analyzing operational data to understand the health of applications, infrastructure, and environments and streamline everyday operations. Here are the six steps of a typical ITOA process : Define the data infrastructure strategy. Apache Spark.

Analytics 188

Analytics Artificial Intelligence Big Data Open Source 188

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

Scalegrid

FEBRUARY 8, 2024

Consequently, if any node happens to fail, the remaining ones provide continued access to the saved information without risking service interruptions or permanent data loss. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

JANUARY 11, 2023

With more organizations taking the multicloud plunge, monitoring cloud infrastructure is critical to ensure all components of the cloud computing stack are available, high-performing, and secure. Cloud monitoring is a set of solutions and practices used to observe, measure, analyze, and manage the health of cloud-based IT infrastructure.

Cloud 223

Cloud Monitoring Best Practices Infrastructure 223

Dynatrace

APRIL 20, 2023

With more automated approaches to log monitoring and log analysis, however, organizations can gain visibility into their applications and infrastructure efficiently and with greater precision—even as cloud environments grow. They enable IT teams to identify and address the precise cause of application and infrastructure issues.

Analytics 187

Analytics Infrastructure Storage Efficiency 187

All Things Distributed

AUGUST 20, 2012

This is apparent in the Media industry where film re-edits, for example, are no longer just about revisiting the original 35mm or 65 mm film but rather all the digital content captured by the 2K or 4K cameras that were used during filming. s largest organizations. A Complete Storage Solution.

Storage 122

Storage Cloud AWS Media 122

The Netflix TechBlog

JULY 26, 2021

Data Mesh provides a drag-and-drop, self-service user interface for exploring sources and creating pipelines so that users can focus on delivering business value without having to worry about managing and scaling complex data streaming infrastructure. We will cover a few core concepts in the Data Mesh Schema domain.

Big Data 253

Big Data Government Analytics Processing 253

All Things Distributed

AUGUST 17, 2011

Amazon S3 is much more than just storage; the network and distributed systems infrastructure to ensure that content can be served fast and at high rates without customers impacting each other, is amazing. Although there are some good examples that come with Cactus is still early days and there is not much of a community using it.

Servers 126

Servers Social Media AWS Website 126

The Netflix TechBlog

APRIL 29, 2019

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

The Netflix TechBlog

FEBRUARY 16, 2021

For example, the mobile plan launch in India and Southeast Asia was a huge success. For example, our business requirements dictate that a mobile plan should be available for specific markets only, while the rest of the world receives the default set of plans. Business Rules?—?SKURules:

Mobile 209

Mobile Engineering Infrastructure Scalability 209

All Things Distributed

APRIL 28, 2010

However, when speaking about cloud services in terms of Infrastructure-as-a-Service, it is very important to make the geographic locations of services more explicit. There are four main reasons to do so: Performance - For many applications and services, data access latency to end users is important. Spot Instances - Increased Control.

AWS 61

AWS Cloud Latency Storage 61

Dynatrace

FEBRUARY 16, 2023

As teams try to gain insight into this data deluge, they have to balance the need for speed, data fidelity, and scale with capacity constraints and cost. To solve this problem, Dynatrace launched Grail, its causational data lakehouse , in 2022. Logs on Grail Log data is foundational for any IT analytics.

Analytics 186

Analytics Innovation Metrics Database 186

Dynatrace

JULY 5, 2022

AIOps combines big data and machine learning to automate key IT operations processes, including anomaly detection and identification, event correlation, and root-cause analysis. For example, consider the adoption of a multicloud framework that enables companies to use best-fit clouds for important operational tasks.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

All Things Distributed

JULY 13, 2010

Customers with complex computational workloads such as tightly coupled, parallel processes, or with applications that are very sensitive to network performance, can now achieve the same high compute and networking performance provided by custom-built infrastructure while benefiting from the elasticity, flexibility and cost advantages of Amazon EC2.

Cloud 118

Cloud AWS Automotive Latency 118

All Things Distributed

DECEMBER 5, 2010

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. DNS is an absolutely critical piece of the internet infrastructure. Modern systems require much faster update propagation to for example deal with outages.

Cloud 117

Cloud Internet Internet AWS 117

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. An Example of Schema Mapping.

Latency 243

Latency Storage Big Data Tuning 243

All Things Distributed

DECEMBER 13, 2016

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

All Things Distributed

DECEMBER 13, 2009

Spot Instances are an innovation that is made possible by the unparalleled economies of scale created by the tremendous growth of the AWS Infrastructure Services. 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

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” This means data sources typically come from disparate infrastructure monitoring tools and second-generation APM solutions.

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

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

Dynatrace

MARCH 11, 2021

I took a big-data-analysis approach, which started with another problem visualization. Take this situation as an example: When multiple problems happen in parallel the introduction of the “unhealthy situation” concept can reduce the number of support tickets. But that didn’t work for me. Visualizing problem noise.

Tuning 263

Tuning Architecture Monitoring Big Data 263

O'Reilly

SEPTEMBER 19, 2023

Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.

Hardware 99

Hardware Storage Big Data Blockchain 99

The Netflix TechBlog

DECEMBER 21, 2020

Design Principles For AutoOptimize to efficiently optimize the data layout, we’ve made the following choices: Just in time vs. periodic optimization Only optimize a given data set when required (based on what changed) instead of blind periodic runs.

Storage 203

Storage Latency Efficiency Data Engineering 203

Testsigma

SEPTEMBER 8, 2021

This is just a small example that we all can relate to and understand the cloud. AppPerfect is one among the tools list that is a versatile tool – it is of great use for not only testers but developers and big data operations. In IT, however, the cloud means a lot more than just streaming media on the system. Signup now.

Cloud 76

Cloud Testing AWS Testing Tools 76

All Things Distributed

FEBRUARY 25, 2011

Often an application requires several infrastructure resources to be created and AWS CloudFormation helps customers create and manage these collections of AWS resources in a simple and predictable way. A simple scenario is for example the ability to clearly identify production from staging and development environments.

AWS 121

AWS Cloud Scalability Storage 121

Smashing Magazine

JULY 29, 2019

Failing that, we are usually able to connect to home or public WiFi networks that are on fast broadband connections and have effectively unlimited data. But there are parts of the world where mobile data is prohibitively expensive, and where there is little or no broadband infrastructure. For example, HTML5 form validation ).

Cache 96

Cache Google Mobile Network 96

All Things Distributed

NOVEMBER 15, 2010

For example, the most fundamental abstraction trade-off has always been latency versus throughput. The power of worlds most advanced GPUs is now available for everyone to use without any up-front investment, removing the risks and uncertainties that owning your own GPU infrastructure would involve. Spot Instances - Increased Control.

AWS 136

AWS Latency Programming Architecture 136