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. Use conditional statements.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

Dynatrace

NOVEMBER 24, 2020

Allowing architectures to be nimble and evolve over time, allowing organizations to take advantage of innovations as a standard practice. Dynatrace as a managed AWS workload, and as an option, have the network traffic to Dynatrace run over PrivateLink so that traffic never leaves AWS. AWS 5-pillars. Dynatrace and AWS.

AWS 144

AWS Artificial Intelligence Best Practices Lambda 144

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. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health. Optimized system performance.

Analytics 209

Analytics Monitoring Artificial Intelligence DevOps 209

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. It may have third-party calls, such as content delivery networks, or more complex requests to a back end or microservice-based application.

DevOps 196

DevOps Artificial Intelligence Healthcare Innovation 196

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

Dynatrace

DECEMBER 2, 2020

In its report “ Innovation Insight for Observability ,” global research and advisory firm Gartner describes the advantages of observability for cloud monitoring as organizations navigate this shift. By providing this enhanced context, observability can offer relevant insights to many different teams in an organization.

DevOps 151

DevOps Monitoring Cloud Artificial Intelligence 151

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 144

AWS Cloud Artificial Intelligence Innovation 144

Scalegrid

JANUARY 12, 2024

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. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. What is workload in cloud computing?

Cloud 130

Cloud Virtualization Storage Efficiency 130

Scalegrid

JANUARY 11, 2024

Endpoint Security Solutions Endpoint security is an essential aspect of protecting cloud environments and involves a range of practices and technologies to safeguard endpoint devices and enhance overall network security. Companies like Palo Alto Networks Cloud Security, Fortinet Cloud, and Trend Micro.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Testsigma

FEBRUARY 12, 2021

From AI to ML, the shifting technology world is constantly innovating and making significant progress. The latest trend in hyperautomation – Gartner projects that by the year 2023, 25% of tasks by the organisations will be able to perform autonomously and hence reducing the cost. Hyperautomation. Autonomous Test Automation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Application performance management.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Dynatrace

JANUARY 6, 2020

Well into the third week of analysis, the network admin changed a security parameter in the firewall—to address an unrelated issue—and you can guess what happened: the session drop problem disappeared. You likely have personal stories of accidental successes, of solutions without theory; here’s one of mine.

Artificial Intelligence 145

Artificial Intelligence Efficiency Analytics Innovation 145

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.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

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). Last but not least, the ability to auto-generate optimal neural networks (e.g. interactive AR/VR, gaming and critical decision making).

Wireless 54

Wireless IoT Analytics Architecture 54

Testsigma

DECEMBER 8, 2019

Here multiple types of mechanical and digital objects are provided unique IDs and are given the ability to transfer data on the network without any human-to-human or human-to-computer interaction. IoT aims to greatly improve the lives of its users but such great innovations also come with great responsibilities. the builders of test.ai

IoT 78

IoT Software Software Artificial Intelligence 78

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. Real-time monitoring and evaluation of events have led to a positive impact on performance or operations.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

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. But ML/AI-related topics such as natural language processing (NLP, +22% in 2019) and neural networks (+17%) recorded strong growth in usage, too.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

O'Reilly

NOVEMBER 28, 2023

We can’t tally and tabulate all the responses, but it’s clear that there’s no shortage of creativity and innovation. The same thing happened to networking 20 or 25 years ago: wiring an office or a house for ethernet used to be a big deal. Generative AI will take its place as the ultimate office productivity tool.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

All Things Distributed

MAY 21, 2018

Only parts of the processes are being performed by machines, or at least supported by them. These new offerings are organized on platforms or networks, and less so in processes. And artificial intelligence makes it possible to break down tasks in such a way that everyone contributes what he or she can do best.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

All Things Distributed

NOVEMBER 30, 2016

in ML and neural networks) and access to vast amounts of data. The power of Alexa in the hands of every developer, without having to know deep learning technologies like speech recognition, has the potential of sparking innovation in entirely new categories of products and services. Summing it all up.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165