Dynatrace

DECEMBER 13, 2023

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. Organizations’ increased use of AI will be a key driver of this trend as it boosts cloud resource consumption, resulting in expanded scope 3 emissions.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

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

APRIL 22, 2024

In response to the scale and complexity of modern cloud-native technology, organizations are increasingly reliant on automation to properly manage their infrastructure and workflows. Automation thus contributes to accelerated productivity and innovation across the organization. What deployment strategies does your organization use?

DevOps 182

DevOps Artificial Intelligence Government Innovation 182

Dynatrace

JANUARY 4, 2024

Artificial intelligence is rapidly transforming the world around us, with applications based on AI emerging in virtually every industry and sector. Then, Dynatrace converts this data into precise answers that customers need to simplify cloud operations and deliver flawless and secure digital experiences using a responsible AI approach.

Artificial Intelligence 231

Artificial Intelligence Strategy Traffic Virtualization 231

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. This is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments.

AWS 143

AWS Cloud Artificial Intelligence Innovation 143

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

Dynatrace

JANUARY 16, 2020

Part two added a few simple examples of how intellectual debt might accrue, highlighting the subtle but real drag on efficiency. One of the fundamental differences between machine learning systems and the artificial intelligence (AI) at the core of the Dynatrace Software Intelligence Platform is the method of analysis.

Cloud 155

Cloud Artificial Intelligence Virtualization Efficiency 155

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. What is explainable AI?

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

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. Increased business innovation. However, 58% of IT leaders say infrastructure management drains resources as cloud use increases.

Artificial Intelligence 282

Artificial Intelligence Cloud Innovation Strategy 282

Dynatrace

NOVEMBER 2, 2022

Organizations have increasingly turned to software development to gain competitive edge, to innovate and to enable more efficient operations. In another survey, for example, 85% of respondents said their organizations have increasingly shifted toward creating digital experiences. Autonomous testing. Chaos engineering.

Software 192

Software Software Artificial Intelligence DevOps 192

Dynatrace

FEBRUARY 10, 2022

Today, businesses are racing ever faster to accommodate customer demands and innovate without sacrificing product quality or security. As they increase the speed of product innovation and software development, organizations have an increasing number of applications, microservices and cloud infrastructure to manage.

Artificial Intelligence 183

Artificial Intelligence Performance Innovation Speed 183

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 239

Best Practices Analytics Artificial Intelligence Infrastructure 239

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. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

Dynatrace

JUNE 1, 2022

Vulnerability management continues to be a key concern as organizations strive to innovate more rapidly and adopt cloud-native technologies to achieve their goals. But with cloud-based architecture comes greater complexity and new vulnerability challenges. CISOs want—but lack — visibility into runtime threats.

Artificial Intelligence 177

Artificial Intelligence Java Strategy Cloud 177

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. Dynatrace and AWS. through our AWS integrations and monitoring support.

AWS 143

AWS Artificial Intelligence Best Practices Lambda 143

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. Let’s say, for example, an application is experiencing a slowdown in receiving its search requests. AIOps use cases. Deterministic AI.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

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

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. The range of use cases for automating IT is as broad as IT itself.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

O'Reilly

APRIL 4, 2024

It is a dark pattern, a map to suboptimal outcomes rather than the true path to competition, innovation and the creation of robust companies and markets. The ride-hailing business offers a classic example of the distortive over-reliance on capital rather than consumer choice. Tesla and SpaceX are good examples. I disagree.

Artificial Intelligence 61

Artificial Intelligence Open Source Innovation Transportation 61

Scalegrid

FEBRUARY 8, 2024

Distributed storage technologies use innovative tools such as Hive, Apache Hadoop, and MongoDB, among others, to proficiently deal with processing extensive volumes encountered in multiple-node-based systems. This integration enhances the flexibility of cloud services while bolstering their computational and storage functions.

Storage 130

Storage Systems Big Data Azure 130

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

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. In recent years, APM has expanded to encompass cloud-native environments and distributed applications composed of microservices. But what differentiates one APM offering from another?

Artificial Intelligence 229

Artificial Intelligence Monitoring Infrastructure Cloud 229

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

DECEMBER 16, 2019

And while the concept is not new, the disruptions of cloud transformation and increasing time-to-market pressures shine a bright light on its many downsides. At some point the debt reaches a tipping point where the high costs of maintenance prevent innovation. Dynatrace news. Many of us are already familiar with technical debt.

Artificial Intelligence 147

Artificial Intelligence Traffic Efficiency Innovation 147

Dynatrace

JUNE 1, 2021

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. Increased time spent on innovation. Why cloud-native applications make APM challenging. Better user experiences.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

APRIL 23, 2024

For example, consider drug pricing. Patents—exclusive, government-granted rights intended to encourage innovation—protect pharmaceutical companies from competition and allow them to charge high prices. They are a price that we pay for a rising tide of innovation. What Is Economic Rent? But not all rents represent abuse of power.

Social Media 108

Social Media Google Internet Internet 108

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Secondly, there is enough affordable computing capacity in the cloud for companies and organizations, no matter what their size, to use intelligent applications. Artificial intelligence helps to satisfy the customer.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

Dynatrace

JANUARY 6, 2020

But with autonomous IT operations on the horizon, it’s important to understand the path to intellectual debt and its impact on both efficiency and innovation. Let’s look at a few simple examples on how intellectual debt might begin to accrue. Easy enough to accomplish in the cloud, you find that the problem goes away.

Artificial Intelligence 144

Artificial Intelligence Efficiency Analytics Innovation 144

All Things Distributed

DECEMBER 20, 2017

In today's era of global digitalization there are many examples that show that IT does matter. Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. More than mere support.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Testsigma

DECEMBER 8, 2019

IoT or Internet of Things is an example of that. IoT aims to greatly improve the lives of its users but such great innovations also come with great responsibilities. An example of autonomous automation testing tool is test.ai Automation Via Distributed Cloud. To know more about Autonomous Testing, read here. DevTestOps.

IoT 78

IoT Software Software Artificial Intelligence 78

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). Advantages can be harnessed in terms of execution efficiency as well as realizing immersive VR usages for example.

Wireless 54

Wireless IoT Analytics Architecture 54

O'Reilly

OCTOBER 31, 2019

It does not mean that cryptography is broken, or that we can achieve general artificial intelligence, or anything of the sort. But unlike Watson, I can tell you where those quantum computers will be: they will live in the cloud. The total market might end up being a few dozen—but because of the cloud, that will be all we need.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

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. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

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

O'Reilly

FEBRUARY 13, 2024

Second, the examples in a case like this are always cherry-picked. Will it be possible to develop specialized applications (for example, O’Reilly Answers) that require training on a specific dataset? Or will innovation only be possible through the entrenched monopolies? Is this enough to limit any damages?

Open Source 93

Open Source Strategy Government Tuning 93