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.

Analytics 190

Analytics Innovation Metrics Database 190

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. In October there will be an abundance of sessions, events, and coding activities focused on game and mobile app development. Take a look at the AWS Loft homepage. What’s Happening at the AWS Loft.

AWS 111

AWS Games Education Innovation 111

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. A key driver: there was nothing in the internet’s original specs to code direct trust between two participants. How did this happen? Enter blockchains.

Blockchain 52

Blockchain Social Media Innovation Internet 52

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

O'Reilly

JANUARY 13, 2020

The experimental DSL for code contracts gives developers the ability to provide guarantees about the ways that code behaves. Code contracts allow you to make these promises, and the compiler can use them to loosen compile-time checks. Does your function have side effects? Is it guaranteed to return a non-null value?

Programming 128

Programming Java Google C++ 128

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

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. What gives real-time digital twins their agility compared to complex, enterprise-based data management systems is their simplicity.

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. What gives real-time digital twins their agility compared to complex, enterprise-based data management systems is their simplicity.

Logistics 52

Logistics Analytics Scalability Cloud 52

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. Message-processing code can incorporate a rules engine or machine learning to amplify their capabilities.

Analytics 52

Analytics Architecture Scalability Software Architecture 52

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. This combination allows for the fluid movement of data and applications across different environments, facilitating shared workloads seamlessly.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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 217

Artificial Intelligence DevOps Innovation Metrics 217

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. But before that new code can be deployed, it needs to be tested and reviewed from a security perspective.

DevOps 201

DevOps Artificial Intelligence Healthcare Innovation 201

The Netflix TechBlog

FEBRUARY 16, 2021

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? Besides, the mixed-use of the metadata files and business logic code adds another layer of maintenance complexity.

Mobile 209

Mobile Engineering Infrastructure Scalability 209

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. Some of our more recent projects include Prism: a batch framework to help security engineers measure paved road adoption, risk factors, and identify vulnerabilities in source code.

Open Source 279

Open Source Network Infrastructure Big Data 279

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

Rigor

SEPTEMBER 11, 2019

Originally a punk hacker , Billy first worked as a web security researcher, innovating new ways to both attack and defend web applications. She also teaches for Black Girls Code, and she founded the Dallas chapter of Girl Develop It and DFW Sass. Would you like to be a part of Big Data and this incredible project?

Performance 89

Performance Education Google Website 89

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. A hybrid cloud, however, combines public infrastructure and services with on-premises resources or a private data center to create a flexible, interconnected IT environment. Dynatrace news.

Infrastructure 186

Infrastructure Cloud Azure AWS 186

All Things Distributed

APRIL 27, 2011

To our shareowners: Random forests, naïve Bayesian estimators, RESTful services, gossip protocols, eventual consistency, data sharding, anti-entropy, Byzantine quorum, erasure coding, vector clocks. Technology infuses all of our teams, all of our processes, our decision-making, and our approach to innovation in each of our businesses.

Technology 151

Technology Technology AWS Storage 151

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. A voice command creates a lot more productivity.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

The Netflix TechBlog

SEPTEMBER 10, 2019

Instead of relying on engineers to productionize scientific contributions, we’ve made a strategic bet to build an architecture that enables data scientists to easily contribute. The two main challenges with this approach are establishing an easy contribution framework and handling Netflix’s scale of data.

Metrics 215

Metrics Architecture Infrastructure Innovation 215

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 205

Analytics Big Data Media Operating System 205

Testsigma

FEBRUARY 12, 2021

From AI to ML, the shifting technology world is constantly innovating and making significant progress. Using these methods, test case simulations can be generated without coding expertise and the amount of time used in repeated test cases can be reduced. Many changes are rendered through automated testing. The most recent 2021 trend.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

NOVEMBER 30, 2016

The power of Alexa in the hands of every developer, without having to know deep learning technologies like speech recognition, has the potential of sparking innovation in entirely new categories of products and services. Developers can now build powerful conversational interfaces quickly and easily, that operate at any scale, on any device.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165