Dynatrace

OCTOBER 4, 2023

In the years since the COVID-19 pandemic, organizations have recognized the need to develop greater business resilience. In the face of this instability, organizations need to develop business resilience to brace for change and remain agile. and increased efficiency enables teams to become more efficient, strategic, and innovative.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

MARCH 14, 2022

Every day, healthcare organizations across the globe have embraced innovative technology to streamline the delivery of patient care. As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation.

Healthcare 230

Healthcare Artificial Intelligence Innovation Strategy 230

Dynatrace

JULY 7, 2022

AIOps and observability—or artificial intelligence as applied to IT operations tasks, such as cloud monitoring—work together to automatically identify and respond to issues with cloud-native applications and infrastructure. Think’ with artificial intelligence. This is where artificial intelligence (AI) comes in.

Artificial Intelligence 182

Artificial Intelligence Automotive DevOps Infrastructure 182

Dynatrace

DECEMBER 15, 2022

However, organizational efficiency can’t come at the expense of innovation and growth. As a result, teams can accelerate the pace of digital transformation and innovation instead of cutting back. This will negate efficiency gains and hinder efforts to automate business, development, security, and operations processes.

Artificial Intelligence 253

Artificial Intelligence Analytics Innovation Healthcare 253

Dynatrace

JANUARY 13, 2022

Takeaways from this article on DevOps practices: DevOps practices bring developers and operations teams together and enable more agile IT. Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. Dynatrace news.

DevOps 270

DevOps Speed Artificial Intelligence Innovation 270

Dynatrace

NOVEMBER 6, 2023

Dynatrace recently announced the availability of its latest core innovations for customers running the Dynatrace® platform on Microsoft Azure, including Grail. Transforming business with Azure data analytics In the evolution towards digital and cloud-native solutions, the ability to efficiently manage vast amounts of data is imperative.

Azure 182

Azure Analytics Artificial Intelligence Innovation 182

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 179

Cloud Artificial Intelligence Innovation Analytics 179

Scalegrid

MARCH 14, 2024

This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential. The architecture usually integrates several private, public, and on-premises infrastructures. A hybrid cloud strategy could be your answer.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

FEBRUARY 16, 2023

Modern observability allows organizations to eliminate data silos, boost cloud operations, innovate faster, and improve business results. “As Traditional cloud monitoring methods can no longer scale to meet organizations’ demands, as multicloud architectures continue to expand. But it is also about process automation.

Artificial Intelligence 196

Artificial Intelligence Analytics Cloud Innovation 196

Dynatrace

SEPTEMBER 23, 2022

Organizations continue to turn to multicloud architecture to deliver better, more secure software faster. To combat the cloud management inefficiencies that result, IT pros need technologies that enable them to gain insight into the complexity of these cloud architectures and to make sense of the volumes of data they generate.

Cloud 147

Cloud Artificial Intelligence Innovation Analytics 147

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. These tools simply can’t provide the observability needed to keep pace with the growing complexity and dynamism of hybrid and multicloud architecture.

AWS 230

AWS Lambda Artificial Intelligence Serverless 230

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 215

Artificial Intelligence DevOps Innovation Metrics 215

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 187

Artificial Intelligence Performance Innovation Speed 187

Dynatrace

JUNE 28, 2021

Between multicloud environments, container-based architecture, and on-premises infrastructure running everything from the latest open-source technologies to legacy software, achieving situational awareness of your IT environment is getting harder to achieve. The challenge? Why ITOps needs to work smarter, not harder.

Infrastructure 180

Infrastructure Monitoring Artificial Intelligence Open Source 180

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. Fully conceptualizing capacity requirements. Common findings.

AWS 145

AWS Artificial Intelligence Best Practices Lambda 145

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. AI-enabled chatbots can help service teams triage customer issues more efficiently.

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

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. Dynatrace news.

Artificial Intelligence 182

Artificial Intelligence Java Strategy Cloud 182

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 is also a critical capability of artificial intelligence for IT operations (AIOps). Dynatrace news.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

JANUARY 19, 2022

As strained IT, development, and security teams head into 2022, the pressure to deliver better, more secure software faster has never been more consequential. Over the past 18 months, the need to utilize cloud architecture has intensified. Modern cloud-native environments rely heavily on microservices architectures.

Artificial Intelligence 182

Artificial Intelligence DevOps Performance Games 182

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. This means that a developer and a business user can access the same data to ask different questions and gain unique insights.

Best Practices 246

Best Practices Analytics Artificial Intelligence Infrastructure 246

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. This makes developing, operating, and securing modern applications and the environments they run on practically impossible without AI.

DevOps 198

DevOps Artificial Intelligence Healthcare Innovation 198

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. Where traditional monitoring falls flat.

DevOps 152

DevOps Monitoring Cloud Artificial Intelligence 152

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. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. Accelerated innovation.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. Developing automation takes time. How organizations benefit from automating IT practices.

Artificial Intelligence 191

Artificial Intelligence Tuning Strategy Big Data 191

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. We are moving into the 2020s and smart integration and automation are driving the next innovation cycle in digital transformation and enterprise software. Dynatrace news.

AWS 145

AWS Cloud Artificial Intelligence Innovation 145

Scalegrid

FEBRUARY 8, 2024

Distributed Storage Architecture Distributed storage systems are designed with a core framework that includes the main system controller, a data repository for the system, and a database. With cloud computing merging with distributed storage technology, we anticipate groundbreaking developments in data storage solutions going forward.

Storage 130

Storage Systems Big Data Azure 130

O'Reilly

APRIL 23, 2024

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? For example, consider drug pricing. But not all rents represent abuse of power.

Social Media 108

Social Media Google Internet Internet 108

Scalegrid

JANUARY 11, 2024

Key Takeaways Cloud security monitoring is a comprehensive approach involving both manual and automated processes to oversee servers, applications, platforms, and websites, using tools that are customized to fit unique cloud architectures. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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 194

Artificial Intelligence Open Source Cloud Analytics 194

Adrian Cockcroft

NOVEMBER 30, 2020

I’m also interested in ways that we can optimize cloud architectures to reduce their carbon footprint. Adrian Cockcroft’s architecture trends and topics for 2021 WPS210 ?—?Using Climate Pledge Arena: The future of innovation and sustainability ZWL207 ?—?Empowering Fighting wildfire with artificial intelligence ZWL201 ?—?Scaling

AWS 52

AWS Artificial Intelligence IoT Energy 52

Dynatrace

JUNE 1, 2021

Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy. Application architecture to gain insights into how application architecture changes impact performance and user experience.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Personally, I think – and this is clearly linked to the rise of AI and ML – that there has never been a better time than today to develop smart applications and use them. Because three things are coming together. That is understandable.

Artificial Intelligence 147

Artificial Intelligence Transportation Education Airlines 147

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). Architectural research in these areas remains traditionally focused on the analysis of object detection and recognition algorithms (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

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. Kärcher benefits as well: By developing this service, the company gets exact insight into how the machines are actually used by its customers.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

O'Reilly

OCTOBER 31, 2019

One of the most exciting topics we’ve been following is the development of quantum computing. It does not mean that cryptography is broken, or that we can achieve general artificial intelligence, or anything of the sort. To do meaningful computation on a quantum computer, we’ll need to develop quantum error correction.

Artificial Intelligence 53

Artificial Intelligence Google Software Architecture Cloud 53

O'Reilly

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Also: infrastructure and operations is trending up, while DevOps is trending down.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134