Adrian Cockcroft

NOVEMBER 26, 2023

Google Cloud and Microsoft Azure released Scope 3 data in 2021. The last number I saw was “over 20GW”, and Amazon has much better global PPA coverage, including India and China, than Google Cloud and Microsoft Azure, who have very few PPAs in Asia. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

JANUARY 31, 2024

Many organizations face significant challenges in pursuing their cloud migration initiatives, which often accompany or precede AI initiatives. Worse, the costs associated with GenAI aren’t straightforward, are often multi-layered, and can be five times higher than traditional cloud services. Service reliability.

Cache 199

Cache Azure Infrastructure Monitoring 199

Adrian Cockcroft

JULY 18, 2023

They don’t break out AWS separately from the total, but the energy use for Amazon went from 85% renewable to 90% renewable, and the carbon footprint of their electricity use went down 29% year on year. It includes the energy generated by dedicated power purchase agreements, and renewable energy credits bought on the open market.

AWS 52

AWS Energy Azure Google 52

Dynatrace

DECEMBER 18, 2023

For busy site reliability engineers, ensuring system reliability, scalability, and overall health is an imperative that’s getting harder to achieve in ever-expanding, cloud-native, container-based environments. In our case, we wanted to highlight the value of using Kepler to provide the energy consumption of our Kubernetes workload.

Metrics 172

Metrics Engineering Energy Tuning 172

Dynatrace

FEBRUARY 1, 2024

That’s why cloud cost optimization is becoming a major priority regardless of where organizations are on their digital transformation journeys. In fact, Gartner’s 2023 forecast is for worldwide public cloud spending to reach nearly $600 billion. These costs also have an environmental impact. Utilization. Architecture.

Cloud 203

Cloud Energy Innovation Infrastructure 203

ACM Sigarch

AUGUST 3, 2023

Chien, we assert that it is impractical and insufficient to rely on quickly deploying renewable energy to decarbonize manufacturing. From the perspective of datacenters, operational carbon includes Scope 1 direct emissions like diesel generators and Scope 2 indirect emissions from purchased energy. Unlike Prof. Chien’s post.

Energy 98

Energy Architecture Hardware Metrics 98

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. There was some new sustainability information that was quietly added to Amazon’s Sustainability in the Cloud page in October 2022 that is significant. But they didn’t go out of their way to promote it.

AWS 64

AWS Energy Architecture Programming 64

Dynatrace

NOVEMBER 24, 2022

As enterprises look to speed innovation, minimize risk, and modernize the way they work in the cloud, there’s a huge opportunity to redefine how IT is architected, deployed, and operated. When the world experiences tougher times, we see organizations turn to technology to gain efficiencies, to transform through digitization and automation.

Innovation 155

Innovation Virtualization Programming Energy 155

Dynatrace

DECEMBER 5, 2023

ARM architecture, based on a processor type optimized for cloud and hyperscale computing, has become the most prevalent on the planet, with billions of ARM devices currently in use. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

Efficiency 259

Efficiency Architecture Energy Monitoring 259

The Morning Paper

JANUARY 30, 2020

Seamless offloading of web app computations from mobile device to edge clouds via HTML5 web worker migration , Jeong et al., On the server side (in the edge or cloud) another Mobile Web Worker Manager component is responsible for managing pools of mobile workers. in the cloud). for the edge and cloud execution environments.

Mobile 104

Mobile Cloud Latency Games 104

All Things Distributed

MARCH 11, 2015

Cloud computing is enabling amazing new innovations both in consumer and enterprise products, as it became the new normal for organizations of all sizes. So many exciting new areas are being empowered by cloud that it is fascinating to watch. Cloud analytics are everywhere. Cloud enables self-service analytics.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

MAY 13, 2020

A perfect example of this is a recent large-scale implementation of a partner’s multi-cloud management platform that manages high-volume application workloads for a US-based energy company. This is the vision Dynatrace has for the world of software, and our partners play a critical role in successfully delivering this vision.

Energy 138

Energy Innovation Analytics Monitoring 138

ACM Sigarch

MAY 31, 2023

Heterogeneous and Composable Memory (HCM) offers a feasible solution for terabyte- or petabyte-scale systems, addressing the performance and efficiency demands of emerging big-data applications. Given this state, Daniel projected two use cases of CXL technology in the public cloud; 1) reusing decommissioned DDR4 in DDR5 servers (CXL 1.1)

Latency 52

Latency Hardware Cache Architecture 52

Dynatrace

SEPTEMBER 21, 2023

As global warming advances, growing IT carbon footprints are pushing energy-efficient computing to the top of many organizations’ priority lists. Energy efficiency is a key reason why organizations are migrating workloads from energy-intensive on-premises environments to more efficient cloud platforms.

Energy 227

Energy Cloud Airlines Strategy 227

Dynatrace

NOVEMBER 6, 2023

To make this happen, enterprises are shifting an unprecedented volume of workloads onto cloud platforms such as Microsoft Azure. The benefits of migrating on-premises workloads to the Cloud become evident quickly. It then promotes a snowball effect as the more you migrate, the more you save on IT and energy expenditures.

Azure 167

Azure Technology Technology Cloud 167

Tech News Gather

JULY 22, 2022

This can save you time and energy to focus on more important tasks. In addition, Microsoft 365 can also help improve your productivity by providing you with an organized workspace and tools to help you get your work done more efficiently. To learn more on how to scale your organization, visit Simeon Cloud and book a demo.

Azure 52

Azure Energy Government Cloud 52

DZone

NOVEMBER 10, 2023

Cloud computing has emerged as a transformative force in the field of technology, revolutionizing the way businesses and individuals access and utilize computing resources. Hyper-V, Microsoft’s virtualization platform, plays a crucial role in cloud computing infrastructures, providing a scalable and secure virtualization foundation.

Cloud 162

Cloud Energy Virtualization Hardware 162

Adrian Cockcroft

NOVEMBER 30, 2020

This is becoming topical as governments and public companies around the world are looking for efficient and standardized ways to report their sustainability impact, and investors and asset managers are looking for common datasets and models to base their risk analysis on. OSDU: Reinventing the energy data platform AUT301 ?—?Alexa,

AWS 52

AWS Artificial Intelligence IoT Energy 52

Dynatrace

NOVEMBER 20, 2023

The first goal is to demonstrate how generative AI can bring key business value and efficiency for organizations. While technologies have enabled new productivity and efficiencies, customer expectations have grown exponentially, cyberthreat risks continue to mount, and the pace of business has sped up.

AWS 203

AWS Artificial Intelligence Analytics Cloud 203

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. The good news is AI-augmented applications can make organizations massively more productive and efficient.

Strategy 216

Strategy Artificial Intelligence Storage Cloud 216

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. This strategy reduces the volume needed during retrieval operations.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

FEBRUARY 16, 2023

McKinsey summarizes the importance of this focus: “Every company uses energy and resources; every company affects and is affected by the environment.” Some interesting facts: Moving a workload to the cloud can reduce its carbon footprint by up to 96%. Cloud computing has a greater carbon footprint than the airline industry.

Energy 179

Energy Airlines Analytics Transportation 179

Percona

FEBRUARY 24, 2023

If you’re using PostgreSQL in the cloud, there’s a good chance you’re spending more than you need in order to get the results you need for your business. Usage reduction: What to look for to reduce PostgreSQL cloud costs The first step in cost reduction is to use what you need and not more. Don’t pay for capacity you don’t use or need.

Cloud 114

Cloud Serverless AWS Storage 114

The Morning Paper

JUNE 13, 2019

” If we want an increasing number of applications to use machine learning, we must automate issues that affect ease-of-use, performance, and cost efficiency for users and providers… Despite significant research, this is missing right now. We’d like to pack models as efficiently as possible on the underlying infrastructure.

Hardware 58

Hardware Latency Serverless Energy 58

Adrian Cockcroft

NOVEMBER 13, 2023

Let’s start by assuming that you have figured out a way to estimate the energy consumption and carbon footprint for a workload that is sensitive enough to register changes in the way you run the workload. This is basically the position of the major cloud providers, they will all take care of it for you by 2030 or so.

Energy 52

Energy Cloud Traffic Transportation 52

Dynatrace

DECEMBER 15, 2022

Soaring energy costs and rising inflation have created strong macroeconomic headwinds that force organizations to prioritize efficiency and cost reduction. However, organizational efficiency can’t come at the expense of innovation and growth. Observability trend no. It’s not just the huge increase in payloads transmitted.

Artificial Intelligence 244

Artificial Intelligence Analytics Innovation Healthcare 244

Dynatrace

DECEMBER 30, 2021

Traditional cloud monitoring tools haven’t solved the challenge with their bolt-on correlation and machine-learning approaches. Organizations need automatic intelligence to identify the root cause of cloud systems’ performance and security issues. Today’s cloud complexity wall has become overwhelming for IT departments.

Strategy 215

Strategy Energy Cloud Innovation 215

Dynatrace

JUNE 29, 2023

Especially those operating in critical infrastructure sectors such as oil and gas, telecommunications, and energy. 1 Saves time and resources Open source can save time and resources, as developers don’t have to expend their own energies to produce code. However, open source is not a panacea.

Open Source 177

Open Source Energy DevOps Innovation 177

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. These short sketches illustrate the power of the cloud for customers, but it is still early days.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Adrian Cockcroft

APRIL 5, 2023

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52

Energy Metrics Cloud Operating System 52

Scalegrid

MAY 13, 2020

Greenplum has a uniquely designed data pipeline that can efficiently stream data from the disk to the CPU, without relying on the data fitting into RAM memory, as explained in their Greenplum Next Generation Big Data Platform: Top 5 reasons article. Query Optimization. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Smashing Magazine

JULY 18, 2022

However, it’s not energy-efficient to render the article for each and every request. It may sound weird at first that you need a web server to achieve efficient static rendering. Website personalization is a hot topic, sadly adversarial to performance and energy consumption. With a server and all! middlewares.

Cache 116

Cache Website Energy Servers 116

KeyCDN

FEBRUARY 22, 2023

Chatbots and virtual assistants Chatbots and virtual assistants are becoming more common on websites and web applications as they provide an efficient and convenient way for users to interact with a business. Cloud-based development and deployment One of the main advantages of cloud-based development and deployment is scalability.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Smashing Magazine

SEPTEMBER 3, 2021

As is the case with many other developers, the reports over the last few years of the huge energy requirements of the web have prompted me to take a look at my own websites and see what I can do to minimize their impact. Reducing Carbon Emissions On The Web. Berwyn Powell. 2021-09-03T11:30:00+00:00. 2021-09-03T15:05:53+00:00.

Website 136

Website Energy Internet Internet 136

Testsigma

APRIL 13, 2022

These metrics may include (but are not restricted to) the following: How much CPU energy your application is taking and if there are any weird spikes in the graph. How much GPU energy your application is taking. Testsigma offers a wide variety of testing methods – all built into the cloud with secure infrastructure.

Mobile 52

Mobile Social Media Testing Media 52

Dynatrace

APRIL 15, 2024

Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. For example, government agencies use an array of cloud platforms spanning 12 environments on average. Cloud-native environments don’t lend themselves well to this type of monitoring.

Infrastructure 202

Infrastructure Efficiency Government Transportation 202

ACM Sigarch

NOVEMBER 1, 2019

Another paper, called E3 , made an observation that ARM-based SmartNICs are capable enough to run cloud micro-services. Finally, the Cognitive SSD paper demonstrated an interesting application of in-storage computing to accelerate content-based data retrieval from storage using advanced deep neural network hashing techniques.

Architecture 12

Architecture Hardware Cache Storage 12