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 179

Analytics Innovation Metrics Database 179

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 98

Big Data Mobile Latency Database 98

All Things Distributed

SEPTEMBER 26, 2014

Or you can plugin, hang out, get some work done, and stick around for evening presentations by innovative startups and community experts. Topics include Introduction to AWS, Big Data, Compute & Networking, Architecture, Mobile & Gaming, Databases, Operations, Security, and more. Take a look at the AWS Loft homepage.

AWS 111

AWS Games Education Innovation 111

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

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. This book shares guidelines and innovative techniques that will help you plan and execute a comprehensive SEO strategy.

Performance 75

Performance Social Media Website Website Performance 75

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

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 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. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

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. By avoiding the need to create or connect to complex databases and ship data to offline analytics systems, it can provide timely answers quickly and easily.

Logistics 52

Logistics Analytics Scalability Cloud 52

O'Reilly

OCTOBER 21, 2019

He designed this new platform to be permission-less and free, an open space for creativity, innovation, and free expression that transcended geographic and cultural boundaries. As the space evolves, innovators are likely to eventually identify viable alternatives that embody this paradigm.

Blockchain 52

Blockchain Social Media Innovation Internet 52

ScaleOut Software

JUNE 15, 2020

Instead, most applications just sift through the telemetry for patterns that might indicate exceptional conditions and forward the bulk of incoming messages to a data lake for offline scrubbing with a big data tool such as Spark. Maintain State Information for Each Data Source.

Analytics 52

Analytics IoT Lambda Big Data 52

All Things Distributed

JUNE 29, 2011

Often we think about innovation as going after new unchartered territories, but it is also important to innovate in those existing dimensions that will remain important for customers. Driving down the cost of Big-Data analytics. Driving Bandwidth Cost Down for AWS Customers. By Werner Vogels on 29 June 2011 09:55 AM.

AWS 104

AWS Retail Innovation Strategy 104

ScaleOut Software

NOVEMBER 24, 2020

Competitive pressures should spark innovation in this area, and real-time digital twins can help. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data. However, telematics architectures face challenges in responding to telemetry in real time.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Scalegrid

FEBRUARY 8, 2024

Distributed storage technologies use innovative tools such as Hive, Apache Hadoop, and MongoDB, among others, to proficiently deal with processing extensive volumes encountered in multiple-node-based systems. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

All Things Distributed

APRIL 23, 2010

It will drive rapid innovation and well see a wealth of mobile, web and desktop applications arrive that we couldnt dream about a few years ago, and these building blocks are the enablers of that. Driving down the cost of Big-Data analytics. Introducing the AWS South America (Sao Paulo) Region.

AWS 60

AWS Storage Cloud Big Data 60

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. Increased business innovation. For example: Greater IT staff efficiency. What is AIOps, and how does it work? Expanded collaboration.

Artificial Intelligence 278

Artificial Intelligence Cloud Innovation Strategy 278

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.” But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 205

Artificial Intelligence DevOps Innovation Metrics 205

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. Deterministic AI.

DevOps 189

DevOps Artificial Intelligence Healthcare Innovation 189

O'Reilly

JANUARY 13, 2020

Full in-language differentiable programming will make a whole collection of previously impossible things possible: the best example is being able to use a standard programming debugger to step through backpropagation and debug derivatives when you’re building a neural network. ” What lies ahead?

Programming 133

Programming Java Google C++ 133

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. For example, uptime detection can identify database instability and help to improve mean time to restoration. What is cloud monitoring?

Cloud 217

Cloud Monitoring Best Practices Infrastructure 217

All Things Distributed

DECEMBER 13, 2016

UK companies are using AWS to innovate across diverse industries, such as energy, manufacturing, medicaments, retail, media, and financial services and the UK is home to some of the world's most forward-thinking businesses. Take Peterborough City Council as an example.

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

The Netflix TechBlog

APRIL 29, 2019

One example is the Spectator Python client library, a library for instrumenting code to record dimensional time series metrics. Orchestration The Big Data Orchestration team is responsible for providing all of the services and tooling to schedule and execute ETL and Adhoc pipelines.

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. However, with our rapid product innovation speed, the whole approach experienced significant challenges: Business Complexity: The existing SKU management solution was designed years ago when the engagement rules were simple? Business Rules?—?SKURules:

Mobile 209

Mobile Engineering Infrastructure Scalability 209

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 227

Analytics Artificial Intelligence Storage Serverless 227

The Netflix TechBlog

MARCH 25, 2019

In the rest of this blog, we will a) touch on the complexity of Netflix cloud landscape, b) discuss lineage design goals, ingestion architecture and the corresponding data model, c) share the challenges we faced and the learnings we picked up along the way, and d) close it out with “what’s next” on this journey.

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219

All Things Distributed

OCTOBER 7, 2015

However, the data infrastructure to collect, store and process data is geared toward developers (e.g., In AWS’ quest to enable the best data storage options for engineers, we have built several innovative database solutions like Amazon RDS, Amazon RDS for Aurora, Amazon DynamoDB, and Amazon Redshift. Big data challenges.

Cloud 137

Cloud Big Data AWS Analytics 137

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. For example, workflows from both public and private cloud resources can support an application. Dynatrace news. Private clouds can be either privately owned or hosted by a third-party provider.

Infrastructure 176

Infrastructure Cloud Azure AWS 176

All Things Distributed

MARCH 28, 2011

What used to be only available in physical formats now often has digital equivalents and this digitalization is driving great new innovations. Amazon S3 uses advanced techniques to provide very high durability and reliability; for example it is designed to provide 99.999999999% durability of objects over a given year.

AWS 138

AWS Cloud Storage Internet 138

All Things Distributed

MAY 21, 2018

We already have an idea of how digitalization, and above all new technologies like machine learning, big-data analytics or IoT, will change companies' business models — and are already changing them on a wide scale. The workplace of the future. At the same time there are many grounds for optimism.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

All Things Distributed

APRIL 27, 2011

For example, to construct a product detail page for a customer visiting Amazon.com, our software calls on between 200 and 300 services to present a highly personalized experience for that customer. For example, our Simple Storage Service, Elastic Block Store, and SimpleDB all derive their basic architecture from unique Amazon technologies.

Technology 151

Technology Technology AWS Storage 151

All Things Distributed

NOVEMBER 15, 2010

Today Amazon Web Services takes another step on the continuous innovation path by announcing a new Amazon EC2 instance type: The Cluster GPU Instance. We believe that making these GPU resources available for everyone to use at low cost will drive new innovation in the application of highly parallel programming models. Comments ().

AWS 136

AWS Latency Programming Architecture 136

All Things Distributed

MAY 18, 2010

For example to ensure availability of data, the data is replicated over multiple locations such that failure modes are independent of each other. Some of the biggest innovations inside Amazon S3 have been how to use software techniques to mask many of the issues that would easily have paralyzed every other storage system.

Storage 71

Storage Cloud AWS Scalability 71

Highly Scalable

MARCH 10, 2015

More specifically, the article was inspired by three major case studies from Albert Heijn [KOK07], the largest supermarket chain in the Netherlands, Zara [CA12], an international apparel retailer, and RueLaLa [JH14], an innovative online fashion retailer. At the same time, we avoid academic results with little or no empirical support.

Retail 152

Retail C++ Analytics Metrics 152

Dynatrace

APRIL 25, 2023

Exploratory analytics with collaborative analytics capabilities can be a lifeline for CloudOps, ITOps, site reliability engineering, and other teams struggling to access, analyze, and conquer the never-ending deluge of big data. These analytics can help teams understand the stories hidden within the data and share valuable insights.

Analytics 193

Analytics Big Data Media Operating System 193

All Things Distributed

NOVEMBER 30, 2016

For example, they want us to help them develop chatbots that understand natural language, build Alexa-style conversational experiences for mobile apps, dynamically generate speech without using expensive voice actors, and recognize concepts and faces in images without requiring human annotators. Mary's Church is at 226 St. Mary's St.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165

ACM Sigarch

APRIL 8, 2019

big-data processing, machine learning, quantum computing, and so on). For example, the existence and support of open-source frameworks such as LLVM or Tensorflow/Pytorch are an attractive element to many newcomers. ML and deep learning innovations are constantly in the news. Lack of Democratization.

Architecture 74

Architecture Open Source Hardware Software Engineering 74