DZone

AUGUST 23, 2023

Monitoring Time-Series IoT Device Data Time-series data is crucial for IoT device monitoring and data visualization in industries such as agriculture, renewable energy, and meteorology. It enables trend analysis, anomaly detection, and predictive analytics, empowering businesses to optimize performance and make data-driven decisions.

IoT 241

IoT Energy Open Source Analytics 241

Dynatrace

DECEMBER 21, 2023

If you’re running your own data center, you can start powering it with green energy purchased through your utility company. The complication with this approach is that your energy bill will likely increase. Next, we consider possible energy savings in the data center. So you’ll have to look elsewhere for energy savings!”

Cloud 264

Cloud Energy Best Practices Cache 264

Dynatrace

DECEMBER 15, 2022

Soaring energy costs and rising inflation have created strong macroeconomic headwinds that force organizations to prioritize efficiency and cost reduction. 2: Observability, security, and business analytics will converge as organizations strive to tame the data explosion. Observability trend no.

Artificial Intelligence 279

Artificial Intelligence Analytics Innovation Healthcare 279

Dynatrace

NOVEMBER 20, 2023

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. What is predictive AI? What is AIOps? What is cloud application security? – blog What is cloud application security?

AWS 277

AWS Artificial Intelligence Cloud Analytics 277

Dynatrace

DECEMBER 5, 2023

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Architecture 290

Architecture Efficiency Energy Monitoring 290

Dynatrace

NOVEMBER 6, 2023

It then promotes a snowball effect as the more you migrate, the more you save on IT and energy expenditures. Three trends for digital transformation journeys The current decade has brought forth multiple challenges, including a pandemic, surging energy costs, supply chain disruptions, and fluctuating macroeconomic conditions.

Azure 244

Azure Technology Technology Cloud 244

Dynatrace

JUNE 28, 2022

Dynatrace customer Duke Energy utilizes synthetic on-demand execution capability. “We We don’t have to wait 5, 15, or even 60 minutes” states Travis Anderson, Application Performance Management at Duke Energy. Dynatrace combines Synthetic Monitoring with automatic release validation for continuous quality assurance across the SDLC.

Monitoring 246

Monitoring Software Software DevOps 246

All Things Distributed

MARCH 11, 2015

AWS is enabling innovations in areas such as healthcare, automotive, life sciences, retail, media, energy, robotics that it is mind boggling and humbling. Many of these innovations will have a significant analytics component or may even be completely driven by it. Cloud analytics are everywhere.

Analytics 109

Analytics Cloud Healthcare Retail 109

VoltDB

NOVEMBER 20, 2024

The Need for Real-Time Analytics and Automation With increasing complexity in manufacturing operations, real-time decision-making is essential. With predictive analytics at the edge, machines can be monitored continuously for early signs of wear, allowing for timely maintenance without interrupting production.

IoT 52

IoT Energy Latency Automotive 52

Dynatrace

MAY 13, 2020

Dynatrace’s Software Intelligence Platform includes multiple modules, underpinned by a common data platform, and offers users APM, AIOps, infrastructure monitoring spanning logs and metrics, digital business analytics and digital experience monitoring capabilities.

Innovation 211

Innovation Energy Analytics Monitoring 211

Dynatrace

JANUARY 23, 2024

As organizations adopt large language models and generative AI technologies to accelerate efficiency, they introduce yet another dimension of complexity—including security and energy consumption concerns—that needs monitoring. And the ability to easily create custom apps enables teams to do any analytics at any time for any use case.

Performance 246

Performance DevOps Innovation Energy 246

All Things Distributed

APRIL 13, 2023

The VP of database, analytics and machine learning services at AWS, Swami Sivasubramanian, walks me through the broad landscape of generative AI, what we’re doing at Amazon to make large language and foundation models more accessible, and how custom silicon can help to bring down costs, speed up training, and increase energy efficiency for our customers. (..)

Energy 123

Energy AWS Analytics Speed 123

Dynatrace

APRIL 17, 2024

With the availability of Linux on IBM Z and LinuxONE, the IBM Z platform brings a familiar host operating system and sustainability that could yield up to 75% energy reduction compared to x86 servers.

Operating System 246

Operating System Energy Infrastructure Architecture 246

VoltDB

OCTOBER 30, 2024

Predictive maintenance: While closely related, predictive maintenance is more advanced, relying on data analytics to predict when a component might fail. Building management: Routine HVAC inspections to maintain air quality and reduce energy costs. It is proactive but doesn’t use advanced data analytics.

Automotive 52

Automotive IoT Artificial Intelligence Energy 52

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. The Dynatrace platform approach to managing your cloud initiatives provides insights and answers to not just see what could go wrong but what could go right.

AWS 305

AWS Efficiency Azure Cloud 305

Dynatrace

JANUARY 31, 2024

Bringing together metrics, logs, traces, problem analytics, and root-cause information in dashboards and notebooks, Dynatrace offers an end-to-end unified operational view of cloud applications. But energy consumption isn’t limited to training models—their usage contributes significantly more.

Cache 276

Cache Azure Infrastructure Monitoring 276

Dynatrace

NOVEMBER 24, 2022

Taking to the virtual stage, Rick continued the trajectory of growth and innovation as he expressed his gratitude to our partners, their commitment and energy, and how our partnerships will underpin the company’s success in years to come. Partners, partners, partners.

Innovation 237

Innovation Virtualization Programming Cloud 237

All Things Distributed

SEPTEMBER 6, 2013

In addition to its goal of reducing energy costs, Shell needed to be more agile in deploying IT services and planning for user demand. Shell leverages AWS for big data analytics to help achieve these goals. Essent – supplies customers in the Benelux region with gas, electricity, heat and energy services.

Cloud 102

Cloud Energy AWS Healthcare 102

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. To take advantage of the game-changing opportunities, businesses are looking to blend into the digital world.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

Dynatrace

NOVEMBER 5, 2023

Latest Dynatrace platform innovations available to customers on Microsoft Azure – press release Learn how Dynatrace empowers teams across organizations to collaborate, create, and share AI-driven analytics, apps, and automations for any business, development, security, or operations use case.

Azure 130

Azure Artificial Intelligence Innovation IoT 130

Scalegrid

FEBRUARY 8, 2024

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. These distributed storage services also play a pivotal role in big data and analytics operations.

Storage 130

Storage Systems Big Data Azure 130

Adrian Cockcroft

FEBRUARY 13, 2023

The keynotes didn’t feature anything new on carbon, just re-iterated the existing path to 100% green energy by 2025. We also may choose to support these grids through the purchase of environmental attributes, like Renewable Energy Certificates and Guarantees of Origin, in line with our Renewable Energy Methodology.

AWS 64

AWS Energy Architecture Programming 64

Testsigma

MARCH 12, 2021

This makes the overall analytics highly accurate and the analytics data can then be referred for planning for future business goals and investments. Automating these test cases cuts the cost of the project and helps testers focus their energy somewhere else. Helps in Future Planning : RPA performs an error-free job.

Artificial Intelligence 97

Artificial Intelligence Testing Energy Analytics 97

VoltDB

JUNE 26, 2024

Using real-time streaming data and analytics, manufacturers can optimize workflows in the moment, reducing bottlenecks and minimizing downtime. Using predictive analytics, manufacturers can anticipate potential quality issues before they occur, allowing for proactive adjustments.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

KeyCDN

DECEMBER 12, 2019

How to set your canonical URL While it is important to set the canonical URL that you want for your website, there are different ways to do it, but the key is to make sure you pinpoint your preferred URL and then focus your time and energy making sure it is the only one connected to your SEO.

Website 73

Website Traffic Ecommerce Google 73

Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

Dean Hume

APRIL 24, 2018

Using service workers can actually reduce the amount of energy that users that visit your website consume. but now that you are here, read on and hopefully I can at least convince you that service workers can make a (little bit) difference to energy consumption! Fewer HTTP requests mean less CPU usage and less energy consumed.

Energy 40

Energy Cache Traffic Website 40

Highly Scalable

MARCH 10, 2015

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. Multiple objectives. Thomas, 2006.

Retail 152

Retail C++ Analytics Metrics 152

Tech News Gather

FEBRUARY 20, 2024

It can help visitors quickly locate everything from the right train terminal to the appropriate hospital ward and correct office without having to waste time and energy. Finally, indoor navigation solutions also offer enterprises detailed analytics.

Mobile 52

Mobile Energy Transportation Technology 52

John McCalpin

APRIL 2, 2020

Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time. Over time, the mechanisms introduced for reducing energy consumption (first in laptops) became available more broadly.

Benchmarking 59

Benchmarking Performance Latency Architecture 59

HammerDB

OCTOBER 18, 2019

We don’t have to stop there, we can also change the energy performance bias setting to performance as well./x86_energy_perf_policy For these workloads HammerDB includes an implementation derived from the TPC-H benchmark to run complex ad-hoc analytic queries against a PostgreSQL database.

Benchmarking 63

Benchmarking Performance Hardware C++ 63

O'Reilly Software

OCTOBER 23, 2018

Entropy" refers to the second law of thermodynamics, which roughly states that systems over time will degrade into an increasingly chaotic state, such that the amount of energy in the system available for work is diminished. The architect defines standards, conventions, and tool sets for teams to use.

Strategy 100

Strategy Architecture Technology Technology 100

VoltDB

APRIL 25, 2024

If you host your own network, you have to pay for hardware, software, and security infrastructure, and you also need space to store servers and absorb the associated energy costs. High implementation costs Deploying a private cellular network you’re planning to manage involves substantial upfront costs.

Network 52

Network IoT Wireless Infrastructure 52

Tasktop

SEPTEMBER 19, 2019

Like a satellite launched to its orbit in space, it takes a lot of effort and energy to launch transformations like project to product–until they reach orbit–after which the behaviors and practices become ingrained in the culture and are self-sustaining in the long term. Learn more.

DevOps 45

DevOps Metrics Energy Processing 45

John McCalpin

APRIL 2, 2020

Here I assumed a particular analytical function for the amount of memory traffic as a function of cache size to scale the bandwidth time. Over time, the mechanisms introduced for reducing energy consumption (first in laptops) became available more broadly.

Benchmarking 40

Benchmarking Performance Latency Architecture 40

Smashing Magazine

JANUARY 15, 2019

But as it stands, websites are growing ever more obese, which means that the energy demand of the Internet is continuing to grow exponentially. The Green Web Foundation maintains an ever-growing database of web hosts who are either wholly powered by renewable energy or are at least committed to being carbon neutral.

Website Performance 78

Website Performance Website Energy Performance 78