Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms.

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

APRIL 23, 2024

Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” These are all astonishing tools for making our limited capacity for attention more efficient. These companies did continue to innovate.

Social Media 108

Social Media Google Internet Internet 108

ACM Sigarch

APRIL 26, 2018

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. Compared with Google Pixel 1, the HDR photography is accelerated by 5x and the power efficiency increased by 10x.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. AWS is working with incubators and accelerators such as SeedCamp and Techstars , in London; Ignite100 in Newcastle; and DotForge in Sheffield and Manchester to help startups make the most of the cloud.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

KeyCDN

FEBRUARY 22, 2023

Progressive web apps (PWA) are web applications that look and feel like native mobile apps but can be accessed through a web browser. PWAs are becoming increasingly popular among businesses and developers, as they offer many of the benefits of native mobile apps without needing a separate app store. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

JUNE 1, 2020

Websites, mobile apps, and business applications are typical use cases for monitoring. There are many different types of monitoring from APM to Infrastructure Monitoring, Network Monitoring, Database Monitoring, Log Monitoring, Container Monitoring, Cloud Monitoring, Synthetic Monitoring, and End User monitoring.

Artificial Intelligence 181

Artificial Intelligence Social Media Monitoring IoT 181

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Cloud services, mobile applications, and microservices-based application environments offer unparalleled flexibility for developers and users.

Infrastructure 176

Infrastructure Monitoring Artificial Intelligence Open Source 176

Testsigma

SEPTEMBER 28, 2021

An organization working in the logistic business has started to gather positive reviews and millions of users are now opting for their services through their mobile app. Hence, they start searching for a tool that can act as a bridge between efficient mobile testing and ROI. Let’s start this post with a situation. React Native?

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52

Dynatrace

JUNE 1, 2020

Websites, mobile apps, and business applications are typical use cases for monitoring. There are many different types of monitoring from APM to Infrastructure Monitoring, Network Monitoring, Database Monitoring, Log Monitoring, Container Monitoring, Cloud Monitoring, Synthetic Monitoring and End User monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

OCTOBER 1, 2021

As dynamic systems architectures increase in complexity and scale, IT teams face mounting pressure to track and respond to conditions and issues across their multi-cloud environments. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

MARCH 16, 2021

To recognize both immediate and long-term benefits, organizations must deploy intelligent solutions that can unify management, streamline operations, and reduce overall complexity. Despite all the benefits of modern cloud architectures, 63% of CIOs surveyed said the complexity of these environments has surpassed human ability to manage.

Artificial Intelligence 189

Artificial Intelligence Open Source Cloud Analytics 189

Dynatrace

JUNE 1, 2021

Mobile apps, websites, and business applications are typical use cases for monitoring. Modern applications such as mobile apps, websites, and business apps may seem simple on the surface, but they are actually highly complex. Why cloud-native applications make APM challenging.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. This is an area where cloud providers already bear much of the burden, and will continue to bear it in the future.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

KeyCDN

MARCH 14, 2019

Progressive web apps are websites that resemble native mobile apps. It can be used to decouple your frontend from your backend and improve server efficiency. Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources.

Development 101

Development Blockchain Serverless Social Media 101

Testsigma

FEBRUARY 12, 2021

You will track the developments for 2021 here at Testsigma and use Testsigma mobile automation tool for making testing easy and hassle-free. 38% of organisations were expected to introduce machine-learning initiatives in 2019, according to the Capgemini World Efficiency survey. Automation Via Distributed Cloud. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Testsigma

JANUARY 7, 2022

When machines and factories were all stopped – your social media, mobile applications, and all the digital world was still operating at the same pace as before. Cloud-based infrastructure. The first requirement for working from home efficiently is to use a tool that is available over the cloud network.

Testing 52

Testing Social Media Artificial Intelligence Cloud 52

Testsigma

DECEMBER 8, 2019

DevOps has been around for about a decade now and has become a crucial automation process that enables organizations to deploy changes to a system in production quickly and efficiently. Automation Via Distributed Cloud. The Cloud Computing trend is expected to evolve better by transforming into a distributed cloud in 2020.

IoT 78

IoT Software Software Artificial Intelligence 78