Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Scalegrid

JANUARY 11, 2024

What does it take to secure your cloud assets effectively? Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

APRIL 29, 2021

Paul Puckett, Director of the Enterprise Cloud Management Agency (ECMA). Cloud integration and application performance monitoring at the federal level is in full force. Puckett and Steve Mazzuca, Director DoD Programs at Dynatrace, discussed Mr. Puckett’s role in this large-scale, multi-cloud transformation. Dynatrace news.

Artificial Intelligence 139

Artificial Intelligence Cloud Monitoring Education 139

Dynatrace

JULY 7, 2022

But as IT teams increasingly design and manage cloud-native technologies, the tasks IT pros need to accomplish are equally variable and complex. By sensing, thinking, and acting, these technologies can complete tasks automatically. Think’ with artificial intelligence. Sense’ with observability.

Artificial Intelligence 177

Artificial Intelligence Automotive DevOps Infrastructure 177

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. Many hospitals adopted telehealth and other virtual technology to deliver care and reduce the spread of disease. Artificial Intelligence for IT and DevSecOps. Overwhelming complexity.

Healthcare 224

Healthcare Artificial Intelligence Innovation Strategy 224

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. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 176

Azure Analytics Artificial Intelligence Innovation 176

Dynatrace

DECEMBER 2, 2020

As more organizations transition to distributed services, IT teams are experiencing the limitations of traditional monitoring tools, which were designed for yesterday’s monolithic architectures. The architects and developers who create the software must design it to be observed. Observability defined.

DevOps 149

DevOps Monitoring Cloud Artificial Intelligence 149

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies.

Artificial Intelligence 198

Artificial Intelligence DevOps Hardware Virtualization 198

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. However, the move to microservices comes with its own challenges and complexities.

Architecture 227

Architecture Artificial Intelligence Cloud Open Source 227

Dynatrace

FEBRUARY 10, 2022

While digital transformation initiatives have obvious advantages for organizations, they also bring growing complexity to technology and digital services teams. The Dynatrace artificial intelligence engine, Davis , and our Cloud Automation module adaptively trigger these solutions during required steps in the SDLC.

Artificial Intelligence 226

Artificial Intelligence DevOps Azure Cloud 226

Dynatrace

JULY 5, 2022

Artificial intelligence for IT operations (AIOps) uses machine learning and AI to help teams manage the increasing size and complexity of IT environments through automation. For example, consider the adoption of a multicloud framework that enables companies to use best-fit clouds for important operational tasks.

Artificial Intelligence 281

Artificial Intelligence Cloud Innovation Strategy 281

Scalegrid

FEBRUARY 8, 2024

This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology. Their design emphasizes increasing availability by spreading out files among different nodes or servers — this approach significantly reduces risks associated with losing or corrupting data due to node failure.

Storage 130

Storage Systems Big Data Azure 130

Dynatrace

OCTOBER 4, 2022

This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets. Generally, the storage technology categorizes data into landing, raw, and curated zones depending on its consumption readiness. Emerging technology frameworks.

Artificial Intelligence 205

Artificial Intelligence Analytics Storage Government 205

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

KeyCDN

FEBRUARY 22, 2023

PWAs are designed to work offline, be fast, and provide a seamless user experience across different devices. Motion UI Motion UI is a design trend involving animation and other interactive elements to create a more dynamic and engaging user experience. They thus adapt to the user's browser, screen size, and device specifications.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. AWS 5-pillars. Fully conceptualizing capacity requirements.

AWS 143

AWS Artificial Intelligence Best Practices Lambda 143

Dynatrace

JANUARY 19, 2022

Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Managing cloud complexity becomes critical as organizations continue to digitally transform. Managing cloud complexity becomes critical as organizations continue to digitally transform.

Artificial Intelligence 176

Artificial Intelligence DevOps Performance Games 176

Dynatrace

MARCH 10, 2021

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. The designation reflects AWS’ recognition that Dynatrace has demonstrated deep experience and proven customer success building AI-powered solutions on AWS. Dynatrace news.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

Dynatrace

JANUARY 12, 2021

IT, DevOps, and SRE teams are racing to keep up with the ever-expanding complexity of modern enterprise cloud ecosystems and the business demands they are designed to support. Observability is the new standard of visibility and monitoring for cloud-native architectures. Dynatrace news.

Monitoring 188

Monitoring Artificial Intelligence DevOps Serverless 188

Dynatrace

OCTOBER 4, 2022

These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics. A data lakehouse addresses these limitations and introduces an entirely new architectural design. It’s based on cloud-native architecture and built for the cloud. Thus, Grail was born.

Artificial Intelligence 264

Artificial Intelligence Analytics Storage Architecture 264

Dynatrace

OCTOBER 14, 2021

Artificial intelligence for IT operations (AIOps) is an IT practice that uses machine learning (ML) and artificial intelligence (AI) to cut through the noise in IT operations, specifically incident management. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

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. The world’s Artificial Intelligence market is anticipated to increase from $28.42

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

MAY 4, 2021

AI powers cloud visibility. To enable infrastructure observability, companies need “platforms built for highly dynamic cloud environments that offer broad technology coverage for both multi-cloud and legacy technologies across multiple use cases.” AIOps can help. But what does this mean in practice?

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Cloud 178

Dynatrace

JUNE 1, 2020

You probably think applications including websites, mobile apps, and business apps may seem simple in the way they’re used, but they are actually highly complex; made up of millions of lines of code, hundreds of interconnected digital services, all hosted across multiple cloud services. Advanced Cloud Observability.

Artificial Intelligence 181

Artificial Intelligence Social Media Monitoring IoT 181

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

NOVEMBER 8, 2021

Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions. ” APM vendors originally designed their solutions to quickly identify application performance issues in monolithic on-premises apps. APM solutions: A primer.

Artificial Intelligence 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

Official Blog - World Web Technology

NOVEMBER 22, 2023

Businesses depend mainly on software solutions to optimize operations, improve customer experiences, and drive development in today’s quickly expanding technology world. In the United States, the software development sector is thriving, with a rising need for experienced workers to design new and cutting-edge solutions.

Software 59

Software Software Development Innovation 59

Dynatrace

JUNE 1, 2020

You probably think applications including websites, mobile apps, and business apps may seem simple in the way they’re used, but they are actually highly complex; made up of millions of lines of code, hundreds of interconnected digital services, all hosted across multiple cloud services. Advanced Cloud Observability.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

JUNE 1, 2021

All these terms refer to related technology and practices. Millions of lines of code comprise these apps, and they include hundreds of interconnected digital services and open-source solutions , and run in containerized environments hosted across multiple cloud services. Why cloud-native applications make APM challenging.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Testsigma

DECEMBER 8, 2019

Advancements in technology improve the lives of people and save time and money for organizations year after year and there is no reason that the next year, 2020 will be any different. And when the adoption of such techniques and technologies become widespread, they tend to become trends. IoT Test Automation.

IoT 78

IoT Software Software Artificial Intelligence 78

KeyCDN

MARCH 14, 2019

Therefore, they are designed to adapt to the browser, screen size, and device specifications of the user. Serverless frameworks like Nuclio let you utilize cloud technology to reduce your workload, improve scaling and save money on unused resources. They are especially useful in grid-based design.

Development 101

Development Blockchain Serverless Social Media 101

Tech News Gather

JULY 18, 2023

All in all, healthcare apps are essential tools that can help doctors streamline their healthcare services and offer patients the flair of well-being in a convenient and accessible way; additionally, contemporary technologies such as Artificial Intelligence and Machine Learning have boosted the efficacy of apps in various ways.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 52

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. The founders had noticed that in many companies, product designers worked in a very detached manner from the rest of production.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

ACM Sigarch

APRIL 26, 2018

BPU: Brain Processing Unit is the design of the AI chips by Horizon Robotics. 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. In ISSCC’18, there were many NPU designs.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

O'Reilly

APRIL 23, 2024

The answer can be found in the theory of economic rents, and in particular, in the kinds of rents that are collected by companies during different stages of the technology business cycle. Then the cycle begins again with a new class of competitors, who are forced to explore new, disruptive technologies that reset the entire market.

Social Media 108

Social Media Google Internet Internet 108

ACM Sigarch

DECEMBER 6, 2018

As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). Such compression is designed to replicate the data such that the reconstruction losses are imperceptible to the human eye. Quality vs Bandwidth.

Wireless 54

Wireless IoT Analytics Architecture 54