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

O'Reilly

DECEMBER 2, 2019

What would the world look like if all of our storage was in the cloud, and access to that storage was so fast we didn’t care? If an office can get that kind of bandwidth to my laptop, with adequate guarantees for cloud security, why should we worry about office LANs? Strata Data Conference in San Jose , March 15-18, 2020.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

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. The architects and developers who create the software must design it to be observed. Observability defined.

DevOps 151

DevOps Monitoring Cloud Artificial Intelligence 151

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. Still cloud-y, but with a possibility of migration.

Software Architecture 134

Software Architecture DevOps Data Engineering Architecture 134

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. Dynatrace news. Leaders in tech are calling for radical change.

Monitoring 190

Monitoring Artificial Intelligence DevOps Serverless 190

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. The Dynatrace Software Intelligence Platform provides all-in-one advanced observability. What sets Dynatrace apart?

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

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. billion in 2020 to $4.1 Log monitoring and analytics help teams to maintain situational awareness in cloud-native environments. What are logs?

Analytics 207

Analytics Monitoring Artificial Intelligence DevOps 207

Dynatrace

JUNE 1, 2020

The variables that can impact the performance of an application vary; from coding errors or ‘bugs’ in the software, database slowdowns, hosting and network performance, to operating system and device type support. Advanced Cloud Observability. From APM to full-stack monitoring. What sets Dynatrace apart? Continuous Automation.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

Dynatrace

MAY 4, 2021

According to the Dynatrace 2020 Global CIO Report , companies now spend an average of $4.8 AI powers cloud visibility. The CNCF 2020 survey indicates that the use of containers are on the rise. Dynatrace news. Infrastructure complexity is costing enterprises money. AIOps can help. AIOps tames container complexity.

Infrastructure 180

Infrastructure Monitoring Artificial Intelligence Cloud 180

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. Consider data from our recent 2020 Global CIO Report , which found that 86. Here’s how. What is AIOps and what are the challenges? Reduced IT spend.

Artificial Intelligence 191

Artificial Intelligence Open Source Cloud Analytics 191

O'Reilly

JULY 20, 2021

You will find that the paradigms you choose for other parties won’t align with the expectations for children, and modifying your software to accommodate children is difficult or impossible. Most software is built to work for as many people as possible; this is called generalization. Norms stand in the way of generalization.

Google 121

Google Games Technology Technology 121

O'Reilly

MARCH 2, 2020

Agile is not, and never was, about getting developers to write software faster. If you were involved with professional programming in the 80s and 90s, you may remember how radical it was (and, in many shops, still is) to put software developers in touch with users and customers. This is important. Neckbeards? Geeks and nerds?

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21

Testsigma

FEBRUARY 12, 2021

The implementation of emerging technologies has helped improve the process of software development, testing, design and deployment. And is projected to rise by more than 6 percent at CAGR(Compound Annual Growth Rate) between 2020 and 2026? Here is the list of software testing trends you need to look out for in 2021.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Testsigma

DECEMBER 8, 2019

Advancements in technology improve the lives of people and save time and money for organizations year after year and there is no reason that the next year, 2020 will be any different. In this article, we will be talking about the technologies and techniques that are expected to become test automation trends in 2020. Hyper Automation.

IoT 78

IoT Software Software Artificial Intelligence 78