Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

Healthcare 234

Healthcare Artificial Intelligence Innovation Strategy 234

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. A truly modern AIOps solution also serves the entire software development lifecycle to address the volume, velocity, and complexity of multicloud environments.

Artificial Intelligence 294

Artificial Intelligence Cloud Innovation Strategy 294

Dynatrace

MARCH 24, 2023

Within every industry, organizations are accelerating efforts to modernize IT capabilities that increase agility, reduce complexity, and foster innovation. By embracing public cloud and hybrid cloud computing environments, IT teams can further accelerate development and automate software deployment and management.

Infrastructure 195

Infrastructure Open Source Operating System Cloud 195

Scalegrid

FEBRUARY 8, 2024

Speedier access to stored information within distributed storage is achieved by leveraging software-defined storage solutions and strategies like sharding or distributing sections of large databases and improving scalability by dividing tasks among many servers.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

AUGUST 10, 2021

Because here is a group of people who thrive on discovering new things, transforming workplaces, and innovating in the true sense of the word, every single day. Breakout Sessions on Scaling DevOps and SRE, Simplifying Kubernetes, Accelerating Cloud Native Innovation, and Delivering Perfect Experiences with Full Stack Observability.

DevOps 246

DevOps Innovation Big Data Cloud 246

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. Modern IT operations involve observing networks, cloud resources and applications, endpoint devices, and more. AIOps use cases.

DevOps 205

DevOps Artificial Intelligence Healthcare Innovation 205

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. We believe in our customers and are investing for the long term.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. Big data automation tools. How does IT automation work?

Artificial Intelligence 198

Artificial Intelligence Tuning Strategy Big Data 198

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 243

Analytics Artificial Intelligence Storage Serverless 243

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.” Only deterministic AIOps technology enables fully automated cloud operations across the entire enterprise development lifecycle.

Artificial Intelligence 221

Artificial Intelligence DevOps Innovation Metrics 221

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

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. From AI to ML, the shifting technology world is constantly innovating and making significant progress. Here is the list of software testing trends you need to look out for in 2021. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

All Things Distributed

JANUARY 6, 2016

We believe that with the launch of the Seoul Region, AWS will enable many more enterprise customers in Korea to reduce the cost of their IT operations and innovate faster in critical new areas such as big data analysis, Internet of Things, and more.

AWS 110

AWS Cloud Games Latency 110

All Things Distributed

SEPTEMBER 6, 2013

Given that I am originally from the Netherlands I have, of course, a special interest in how Dutch companies are using our cloud services. . But it is not just Dutch entrepreneurs who build their business in the cloud, also traditional Dutch enterprises are moving to the cloud to improve their agility and cost-effectiveness.

Cloud 129

Cloud Energy AWS Healthcare 129

The Netflix TechBlog

APRIL 29, 2019

Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. Demand Engineering Demand Engineering is responsible for Regional Failovers , Traffic Distribution, Capacity Operations and Fleet Efficiency of the Netflix cloud.

Open Source 279

Open Source Network Infrastructure Big Data 279

All Things Distributed

NOVEMBER 12, 2012

Expanding the Cloud â?? These companies can now benefit from the fact that the new Asia Pacific (Sydney) Region is similar to all other AWS Regions, which enables software developed for other Regions to be quickly deployed in Australia as well. All Things Distributed. introducing the Asia Pacific (Sydney) Region. Comments ().

Cloud 117

Cloud AWS Ecommerce Latency 117

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

All Things Distributed

NOVEMBER 15, 2016

Previously, I wrote about Amazon QuickSight , a new service targeted at business users that aims to simplify the process of deriving insights from a wide variety of data sources quickly, easily, and at a low cost. QuickSight is a very fast, cloud-powered, business intelligence service for the 1/10th the cost of old-guard BI solutions.

Analytics 152

Analytics Availability Media Social Media 152

All Things Distributed

APRIL 4, 2017

In making the switch to AWS, WOW air has saved between $30,000 and $45,000 on hardware, and software licensing. AWS Partner Network (APN) Consulting Partners in the Nordics help customers migrate to the cloud.

AWS 116

AWS Airlines Latency Games 116

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

ScaleOut Software

APRIL 3, 2020

What’s missing is a flexible, fast, and easy-to-use software system that can be quickly adapted to track these assets in real time and provide immediate answers for logistics managers. These questions can be answered using the latest data as it streams in from the field. What are real-time digital twins and why are they useful here?

Logistics 52

Logistics Analytics Scalability Cloud 52

All Things Distributed

JANUARY 19, 2011

AWS Elastic Beanstalk: A Quick and Simple Way into the Cloud. Flexibility is one of the key principles of Amazon Web Services - developers can select any programming language and software package, any operating system, any middleware and any database to build systems and applications that meet their requirements. Comments ().

AWS 115

AWS Cloud Java Scalability 115

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

All Things Distributed

MAY 18, 2010

Expanding the Cloud - Amazon S3 Reduced Redundancy Storage. This new storage option enables customers to reduce their costs by storing non-critical, reproducible data at lower levels of redundancy. Expanding the Cloud - The AWS Storage Gateway. Expanding the Cloud â?? Expanding the Cloud - Introducing Amazon ElastiCache.

Storage 71

Storage Cloud AWS Scalability 71

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. This new software technique has the potential to make a major impact on the telematics industry.

Analytics 52

Analytics Architecture Scalability Software Architecture 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

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. Look inside a current textbook on software architecture, and youll find few patterns that we dont apply at Amazon. Amazon DynamoDB â??

Technology 151

Technology Technology AWS Storage 151

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

NOVEMBER 15, 2010

Expanding the Cloud - Adding the Incredible Power of the Amazon EC2 Cluster GPU Instances. Today Amazon Web Services takes another step on the continuous innovation path by announcing a new Amazon EC2 instance type: The Cluster GPU Instance. Cluster GPU programming in the Cloud with the Amazon Web Services changes of all of that.

AWS 136

AWS Latency Programming Architecture 136

SQL Server According to Bob

FEBRUARY 15, 2018

Best practices on Building a Big Data Analytics Solution – Michael Rys. If you want to learn about Azure Data Lake, there is no one better. If anything just come to see me explain the architecture which is an amazing innovative piece of software. Modernizing ETL with Azure Data Lake – Michael Rys.

Engineering 40

Engineering Azure Best Practices Servers 40

The Agile Manager

FEBRUARY 27, 2012

Each is a new take on an old theme, echoing one part of the contradiction that has riddled every business with a captive technology department: we want to minimize how much we spend on IT, and we want IT to be a source of innovation. The advent of cloud computing untethers customers, employees and even algorithms from captive ecosystems.

Ecommerce 45

Ecommerce Social Media Retail Airlines 45