Scalegrid

JANUARY 11, 2024

Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate. The automatic nature also allows for quick response times in addressing any identified security concerns making it an ideal solution for effective cloud security monitoring.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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. Requirements to achieve multicloud observability and monitoring.

Monitoring 197

Monitoring Artificial Intelligence DevOps Serverless 197

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 185

Artificial Intelligence Automotive DevOps Infrastructure 185

Dynatrace

MAY 4, 2021

AIOps offers an alternative to traditional infrastructure monitoring and management with end-to-end visibility and observability into IT stacks. But increasing complexity and lacking visibility creates a problem: Enterprises invest more resources into monitoring and don’t get the data and answers they need.

Infrastructure 186

Infrastructure Monitoring Artificial Intelligence Cloud 186

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 232

Healthcare Artificial Intelligence Innovation Strategy 232

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. Where traditional monitoring falls flat. The architects and developers who create the software must design it to be observed.

DevOps 154

DevOps Monitoring Cloud Artificial Intelligence 154

Dynatrace

SEPTEMBER 8, 2023

Dataflow overview Dynatrace ActiveGate extensions allow you to extend Dynatrace monitoring to any remote technology that exposes an interface. Dynatrace users typically use extensions to pull technical monitoring data, such as device metrics, into Dynatrace. Upload the ZIP file.

Database 274

Database Artificial Intelligence Metrics Monitoring 274

Dynatrace

JANUARY 23, 2024

Enhancing generative AI models in real-world production settings with GCP and Dynatrace In the ever-evolving landscape of artificial intelligence, the fusion of leading technologies can yield unparalleled results. Learn more about Dynatrace and GCP from the ebook 5 Key Considerations for Monitoring Google Cloud.

Cloud 217

Cloud Artificial Intelligence Performance AWS 217

Dynatrace

OCTOBER 2, 2023

Because they’re separate, they allow for faster release cycles, greater scalability, and the flexibility to test new methodologies and technologies. Use domain-driven design when creating new microservices by separating microservices via their underlying business functions. Migration is time-consuming and involved.

Architecture 237

Architecture Artificial Intelligence Cloud Open Source 237

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring. Application monitoring. Dynatrace news.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

JANUARY 19, 2022

Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. But managing and securing these environments can be downright impossible without technology to identify and alert users to issues. Modern observability vs. monitoring. Dynatrace news.

Artificial Intelligence 184

Artificial Intelligence DevOps Performance Games 184

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 146

AWS Artificial Intelligence Best Practices Lambda 146

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. We’ll discuss how the responsibilities of ITOps teams changed with the rise of cloud technologies and agile development methodologies. So, what is ITOps? What is ITOps? Why is IT operations important?

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

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. Once products and services are live, IT teams must continuously monitor and manage them. Maximum ROI on all hybrid cloud technologies.

Artificial Intelligence 291

Artificial Intelligence Cloud Innovation Strategy 291

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 214

Artificial Intelligence Storage Analytics Government 214

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 218

Artificial Intelligence DevOps Innovation Metrics 218

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 233

Artificial Intelligence DevOps Azure Cloud 233

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 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

JUNE 1, 2020

Application Performance Monitoring (APM) in its simplest terms is what practitioners use to ensure consistent availability, performance, and response times to applications. Websites, mobile apps, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Artificial Intelligence 184

Artificial Intelligence Social Media Monitoring IoT 184

Dynatrace

OCTOBER 4, 2022

Existing observability and monitoring solutions have built-in limitations when it comes to storing, retaining, querying, and analyzing massive amounts of data. These technologies are poorly suited to address the needs of modern enterprises—getting real value from data beyond isolated metrics.

Artificial Intelligence 272

Artificial Intelligence Analytics Storage Architecture 272

Dynatrace

NOVEMBER 8, 2021

Application performance monitoring (APM) solutions have evolved in recent years, and organizations now have plenty of options to choose from when selecting the right tools for their needs. APM solutions track key software application performance metrics using monitoring software and telemetry data. Dynatrace news.

Artificial Intelligence 236

Artificial Intelligence Monitoring Infrastructure Cloud 236

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

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

OCTOBER 1, 2021

The goal of observability is to understand what’s happening across all these environments and among the technologies, so you can detect and resolve issues to keep your systems efficient and reliable and your customers happy. What is the difference between monitoring and observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Scalegrid

JANUARY 8, 2024

Discover key insights and strategic advice in our article, designed to steer you toward the best cloud solution that fits your company’s priorities. Technology Enabling Multi-Cloud and Hybrid Cloud The functioning of various hybrid cloud deployment models is supported by a range of technologies.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

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 146

AWS Cloud Artificial Intelligence Innovation 146

Scalegrid

MARCH 14, 2024

Integrating technology from private and public clouds and on-premises resources within one hybrid cloud platform creates an integrated IT infrastructure that leverages the strengths of each component. A pivotal element of any hybrid cloud strategy is adhering to regulatory requirements and compliance standards specific to an industry.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dotcom-Montior

JUNE 15, 2020

The limited number access points, compounded with the fact that traffic is controlled by the Ministry of Industry and Information Technology, creates performance bottlenecks for all users in China when trying to access websites from inside and outside of the country. Final Thoughts: Monitoring Performance from the Great Firewall of China.

Monitoring 52

Monitoring Performance Artificial Intelligence Internet 52

Official Blog - World Web Technology

NOVEMBER 19, 2023

A well-designed and practical website is a must-have in today’s digital environment for companies of all sizes, especially when you are out there hiring a web development company. Monitor and Measure Performance Regularly monitor and evaluate the outsourcing partner’s performance.

Development 59

Development Best Practices Website Artificial Intelligence 59

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Mobile apps, websites, and business applications are typical use cases for monitoring. APM can be referred to as: Application performance monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

JUNE 15, 2023

Within two months, ChatGPT had over a hundred million users—faster adoption than any technology in history. If we want prosocial outcomes, we need to design and report on the metrics that explicitly aim for those outcomes and measure the extent to which they have been achieved. The hand wringing soon began.

Artificial Intelligence 112

Artificial Intelligence Best Practices Metrics Systems 112

Scalegrid

JANUARY 12, 2024

These include popular technologies such as web servers and web applications, along with advanced solutions like distributed data stores and containerized microservices. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research.

Cloud 130

Cloud Virtualization Storage Efficiency 130

All Things Distributed

DECEMBER 13, 2016

Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide. The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

O'Reilly

JANUARY 6, 2020

There are jobs for people who design plumbing fixtures, but you wouldn’t want them working in your bathroom. You don’t need to be good at math to program, but you do need math to push computing forward—particularly if you’re interested in data science or artificial intelligence. A good analogy is plumbing. Mike Loukides.

Programming 98

Programming Artificial Intelligence Education Games 98

Tech News Gather

JULY 18, 2023

For instance, monitoring the health conditions of the patients and access medical records have become easier for patients and healthcare service providers. These mobile and web apps assist users to monitor their health conditions byaccessing medical information, communicating with healthcare providers, and managing their medicines.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 52

O'Reilly

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. Executive Summary We’ve never seen a technology adopted as fast as generative AI—it’s hard to believe that ChatGPT is barely a year old. When 26% of a survey’s respondents have been working with a technology for under a year, that’s an important sign of momentum.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

Official Blog - World Web Technology

MARCH 16, 2023

For example, if you want to add features such as Augmented Reality, Virtual Reality, Artificial Intelligence, and others, costs of creating an app might go up. You will need a team of front-end developers, back-end developers, UI/UX designers, quality analysts, project managers, etc. It depends on what features you want to add.

Development 52

Development Mobile Artificial Intelligence Design 52