Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring. What sets Dynatrace apart?

Artificial Intelligence 254

Artificial Intelligence Social Media Monitoring IoT 254

Dynatrace

NOVEMBER 24, 2020

Well-Architected Reviews are conducted by AWS customers and AWS Partner Network (APN) Partners to evaluate architectures to understand how well applications align with the multiple Well-Architected Framework design principles and best practices. these metrics are also automatically analyzed by Dynatrace’s AI engine, Davis ).

AWS 221

AWS Artificial Intelligence Best Practices Lambda 221

Dynatrace

MAY 1, 2023

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example.

Analytics 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

DECEMBER 15, 2022

ITOps is an IT discipline involving actions and decisions made by the operations team responsible for an organization’s IT infrastructure. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure. ITOps vs. AIOps.

Artificial Intelligence 246

Artificial Intelligence DevOps Hardware Virtualization 246

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Further, not every business uses AI in the same way or for the same reasons.

Artificial Intelligence 264

Artificial Intelligence Healthcare Retail Government 264

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

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. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

DECEMBER 2, 2020

Gartner defines observability as the characteristic of software and systems that allows administrators to collect external- and internal-state data about networked assets so they can answer questions about their behavior. Observability defined. The case for observability. Then teams can leverage and interpret the observable data.

DevOps 231

DevOps Monitoring Cloud Artificial Intelligence 231

Dynatrace

JULY 18, 2022

The OpenTelemetry project was created to address the growing need for artificial intelligence-enabled IT operations — or AIOps — as organizations broaden their technology horizons beyond on-premises infrastructure and into multiple clouds. This includes CPU activity, profiling, thread analysis, and network profiling.

Artificial Intelligence 246

Artificial Intelligence Open Source Analytics Monitoring 246

Dynatrace

OCTOBER 4, 2023

Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. A multi-layered approach applies security testing in all stages of development and across devices, applications, networks, and infrastructure.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring.

Monitoring 173

Monitoring Performance Social Media Artificial Intelligence 173

All Things Distributed

DECEMBER 13, 2016

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. 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.

AWS 155

AWS Cloud Artificial Intelligence IoT 155

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Improved infrastructure utilization. What does APM stand for?

Monitoring 165

Monitoring Mobile Social Media Open Source 165

O'Reilly

MARCH 2, 2020

The most important is discovering how to work with data science and artificial intelligence projects. Frequent contact with customers, good in-person communications between team members, along with practices like source control and testing, would just be in the air, like our Wi-Fi networks. They’d simply be what we do.

Artificial Intelligence 27

Artificial Intelligence Software Architecture Programming C++ 27

Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Infrastructure Artificial Intelligence 130

Alex Podelko

DECEMBER 19, 2019

How to select appropriate IT Infrastructure to support Digital Transformation by Boris Zibitsker, BEZNext. – Optimizing IT infrastructure – with specific use cases. Marrying Artificial Intelligence and Automation to Drive Operational Efficiencies by Priyanka Arora, Asha Somayajula, Subarna Gaine, Mastercard.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

APRIL 23, 2019

With more AI (Artificial Intelligence) entering our lives (both in the personal and in the enterprise space) we need to make sure that we are not repeating the same issues. Today’s example comes from Chad Turner, Dynatrace Certified Associate Network Systems Technician at NYCM. Take an alternative route due to a bad traffic jam!

Artificial Intelligence 172

Artificial Intelligence Mobile Java Processing 172

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Automation using Artificial Intelligence(AI) and Machine Learning(ML).

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Scalegrid

JANUARY 11, 2024

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

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Scalegrid

FEBRUARY 8, 2024

By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes. These systems safeguard against the risk of data loss due to hardware failure or network issues by spreading data across multiple nodes.

Storage 130

Storage Systems Big Data Azure 130

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research.

Cloud 130

Cloud Virtualization Storage Efficiency 130

O'Reilly

APRIL 30, 2024

Given that our leading scientists and technologists are usually so mistaken about technological evolution, what chance do our policymakers have of effectively regulating the emerging technological risks from artificial intelligence (AI)? We ought to heed Collingridge’s warning that technology evolves in uncertain ways.

Social Media 127

Social Media Artificial Intelligence Innovation Logistics 127

Scalegrid

JANUARY 8, 2024

Both multi-cloud and hybrid cloud models come with their advantages, like increased flexibility and secure, scalable IT infrastructure but face challenges such as management complexity and integration issues. What is Multi-Cloud? In a multi-cloud setting, enterprises utilize multiple cloud vendors to fulfill various business functions.

Cloud 147

Cloud Strategy Scalability Artificial Intelligence 147

All Things Distributed

DECEMBER 18, 2017

Today, I'm happy to announce that the AWS EU (Paris) Region, our 18th technology infrastructure Region globally, is now generally available for use by customers worldwide. Now, we're opening an infrastructure Region with three Availability Zones. Our AWS EU (Paris) Region is open for business now.

AWS 86

AWS Artificial Intelligence Education Energy 86

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 145

Software Architecture DevOps Data Engineering Architecture 145

Scalegrid

JANUARY 21, 2025

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

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. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) of nonusers, 5.4%

Open Source 137

Open Source Google Artificial Intelligence Infrastructure 137

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

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. Marketers use big data and artificial intelligence to find out more about the future needs of their customers. This pattern should be broken.

Artificial Intelligence 70

Artificial Intelligence Social Media Logistics AWS 70

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). Orchestrate the processing flow across an end-to-end infrastructure. Last but not least, the ability to auto-generate optimal neural networks (e.g.

Wireless 55

Wireless IoT Analytics Architecture 55

Testsigma

MAY 19, 2021

DevOps is not a single system, rather it is a combination of many processes – testing, deployment, production, etc – thus, it’s better termed as a ‘distributed infrastructure’. Cloud-based solutions are extremely cheap when compared to building and maintaining a DevOps infrastructure on-premise. Source: FileFlex.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

VoltDB

JUNE 26, 2024

High implementation costs Implementing intelligent manufacturing systems involves significant investment in several technologies, including automation, IoT, AI, edge computing, and real-time data platforms. See how Volt helps intelligent manufacturers fully capitalize on edge-IoT data.

IoT 52

IoT Analytics Artificial Intelligence Energy 52

O'Reilly

JUNE 18, 2024

But what is missing is a more generalized infrastructure for detecting content ownership and providing compensation in a general purpose way. This architecture is not dissimilar to the model of early online information providers like AOL and the Microsoft Network. Open source better enables not only innovation but control.

Social Media 145

Social Media Media Open Source Traffic 145

O'Reilly

SEPTEMBER 19, 2023

Plus there was all of the infrastructure to push data into the cluster in the first place. And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. A basic, production-ready cluster priced out to the low-six-figures.

Hardware 135

Hardware Storage Big Data Blockchain 135

O'Reilly

DECEMBER 2, 2019

The most obvious change 5G might bring about isn’t to cell phones but to local networks, whether at home or in the office. High-speed networks through 5G may represent the next generation of cord cutting. Those waits can be significant, even if you’re on a corporate network. Let’s get back to home networking.

Wireless 56

Wireless Serverless IoT Network 56

Testsigma

JANUARY 7, 2022

Cloud-based infrastructure. The first requirement for working from home efficiently is to use a tool that is available over the cloud network. The tool comes equipped with artificial intelligence and natural language processing capabilities. Testsigma checked this point even before the pandemic arrived.

Testing 52

Testing Social Media Artificial Intelligence Cloud 52

Dynatrace

OCTOBER 24, 2023

While, for many, zero trust typically begins with identity, the panelists argued that it is not more important than the other five pillars that the Cybersecurity and Infrastructure Security Agency ( CISA ) has outlined. That can be increased visibility – endpoint, network, and data – so you know what you have for protection.

Government 278

Government Artificial Intelligence Best Practices Infrastructure 278