Dynatrace

APRIL 29, 2021

During this webinar, Mr. Puckett and Steve Mazzuca, Director DoD Programs at Dynatrace, discussed Mr. Puckett’s role in this large-scale, multi-cloud transformation. Mr. Puckett identified three ECMA programs that provide an advantage for the warfighter: Managing the mission in the cloud. Software factories.

Artificial Intelligence 143

Artificial Intelligence Cloud Monitoring Education 143

Testsigma

JANUARY 7, 2022

The software industry goes through a lot of research and modified methodologies that keep the software quality top-notch for the end-user. Again, this was shaped by the market trends and the increasing importance of both of this software. A couple of years back a new term QAOps started picking up in the software industry.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Dynatrace

MARCH 22, 2023

Application vulnerabilities are an inevitable byproduct of the growth of agile development techniques and can be tricky to spot and address. While these vulnerabilities aren’t anything new, the modular and distributed nature of modern software development introduces a new potential for application security risks.

Open Source 207

Open Source Artificial Intelligence Internet Internet 207

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. Grainger created a developer portal with application starter kits for monitoring.

Artificial Intelligence 202

Artificial Intelligence Open Source Analytics Monitoring 202

Dynatrace

JULY 6, 2022

Developing automation takes time. While automating IT practices can save administrators a lot of time, without AIOps, the system is only as intelligent as the humans who program it. Automating routine IT tasks eliminates the human element—and the potential mistakes that come with it. Monitoring automation is ongoing.

Artificial Intelligence 198

Artificial Intelligence Tuning Strategy Big Data 198

Dynatrace

JANUARY 26, 2021

AWS Lambda functions are an example of how a serverless framework works: Developers write a function in a supported language or platform. The developer uploads the function and configuration for how to run the function to the cloud. Developers stay focused on developing technologies rather than the underpinnings of applications.

Serverless 245

Serverless Efficiency Lambda Azure 245

O'Reilly

AUGUST 8, 2023

Everyone knows that ChatGPT had one of the most successful launches of any software project, passing a million users in its first five days. And, while I’ve written frequently about how ChatGPT will change programming, it will undoubtedly have an even greater effect on non-programmers. What can we make of this?

Artificial Intelligence 71

Artificial Intelligence Programming Games Open Source 71

O'Reilly Software

JUNE 12, 2018

Practical advice for software engineers and security consultants. As a software security evaluator and a one-time engineer, I can confirm what the daily security breaches are telling us: software engineers and architects regularly fail at building in sufficient security and privacy.

Artificial Intelligence 78

Artificial Intelligence Development Software Engineering Programming 78

Alex Podelko

DECEMBER 19, 2019

Looking at the program I have the same problem as I always had with CMG conferences – how could I attend all the sessions I want considering that we have multiple tracks? which would be great to attend to keep up with recent developments and their impact on my area. How is DevOps changing the Modern Software Development Landscape? ,

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

O'Reilly Software

AUGUST 29, 2018

The O’Reilly Media Podcast: Daniel Krook, IBM developer advocate, on the Call for Code Global Initiative at IBM. Call for Code is a worldwide, multi-year initiative that challenges developers to solve pressing problems with sustainable software solutions.

Code 80

Code Artificial Intelligence Development Logistics 80

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 147

AWS Cloud Artificial Intelligence Innovation 147

O'Reilly

APRIL 9, 2024

Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance. What is the software really supposed to do? Programming culture is another problem.

Games 76

Games Programming Testing Code 76

Testsigma

MAY 15, 2021

A long time ago, we started building software, basic calculator stuff. Small, uncluttered, and light software. As the complexities of the software applications increased, the need for software testing became more and more apparent. That was when Manual testing of software applications came into being.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

All Things Distributed

DECEMBER 13, 2016

Take GoSquared , a UK startup that runs all its development and production processes on AWS, as an example. At re:Invent 2016 , AWS announced Greengrass (in limited preview), a new service designed to extend the AWS programming model to small, simple, field-based devices. Fraud.net is a good example of this.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

O'Reilly

JULY 11, 2023

There’s a lot of angst about software developers “losing their jobs” to AI, being replaced by a more intelligent version of ChatGPT, GitHub’s Copilot, Google’s Codey, or something similar. Matt Welsh has been talking and writing about the end of programming as such. His reaction was “This prompt is really programming.”

Programming 98

Programming Code Design Software 98

Scalegrid

JANUARY 12, 2024

Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible! What is an example of a workload?

Cloud 130

Cloud Virtualization Storage Efficiency 130

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

O'Reilly

DECEMBER 12, 2023

If a human writes software to generate prompts that in turn generate an image, is that copyrightable? What should copyright law mean in the age of artificial intelligence? The word “teaching” arguably invests too much humanity into what is still software and silicon.) How do we make sense of this?

Artificial Intelligence 99

Artificial Intelligence Media Google Processing 99

O'Reilly

OCTOBER 17, 2023

Designing and writing software systems that generate prompts automatically. This work is increasingly falling under the rubric RAG (Retrieval Augmented Generation), in which a program takes a request, looks up data relevant to that request, and packages everything in a complex prompt. To say nothing of debugging and testing.)

Programming 99

Programming Education Engineering Design 99

Testsigma

DECEMBER 20, 2019

Software Testing has changed a lot! Earlier, manual testing ruled the world of testing, however, test automation increasingly became a reality in most organizations developing software. Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

O'Reilly

FEBRUARY 18, 2020

It’s the single most popular programming language on O’Reilly, and it accounts for 10% of all usage. 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. In programming, Python is preeminent. Coincidence?

Software Architecture 132

Software Architecture DevOps Data Engineering Architecture 132

Dynatrace

JULY 2, 2019

This is especially true when Dynatrace replaces an older generation of monitoring software. Once the failure is detected, Davis our artificial intelligence engine will decide whether the issue should be reported or not. Many years ago, C programs were very common and most of them relied on return codes to highlight problems.

Tuning 116

Tuning Artificial Intelligence Code Java 116

Testsigma

JULY 13, 2021

A few years back, “ codeless testing ” was interchangeably used with the “ record-and-replay ” functionality of the automation software. Codeless testing is a type of software testing that requires no code writings from the testers. Development and testing are not synchronized. And there are a lot more of this.

Testing 52

Testing Artificial Intelligence Programming Code 52

O'Reilly

JULY 25, 2023

I really wanted to go beyond these quick gut reactions that I’ve seen so much of online, so I tried using ChatGPT for a few weeks to help me implement a hobby software project and took notes on what I found interesting. I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming.

Programming 98

Programming Code Design Benchmarking 98

Testsigma

JULY 14, 2020

According to Wikipedia, Data-Driven Testing(DDT) is a software testing methodology that is used in the testing of computer software to describe testing done using a table of conditions directly as test inputs and verifiable outputs as well as the process where test environment settings and control are not hard-coded. Enhanced clarity.

Testing 63

Testing Artificial Intelligence DevOps Big Data 63

Enprowess

MAY 10, 2018

“The field of machine learning is concerned with the question of how to construct computer programs that automatically improve with experience” – Tom M. As Artificial intelligence and Machine learning are in action now, there are various APIs and libraries available with Java too. Source: [link]. b) Inception5h.

Artificial Intelligence 52

Artificial Intelligence Open Source Google Java 52

Testsigma

SEPTEMBER 28, 2021

As a software developer, I have always come across people who are sceptical about new projects in the mobile app which demand technologies that they don’t know. Programming knowledge – not required. The mobile testing tool, Testsigma does not require any programming language for mobile testing. React Native?

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52

O'Reilly

OCTOBER 24, 2023

Ever since the current craze for AI-generated everything took hold, I’ve wondered: what will happen when the world is so full of AI-generated stuff (text, software, pictures, music) that our training sets for AI are dominated by content created by AI. Model collapse presents AI development with a serious problem.

Programming 87

Programming Code Processing Artificial Intelligence 87

Testsigma

JANUARY 7, 2022

Even if you did not notice, millions of developers and testers worked from their homes to keep you online and help you share your thoughts, purchase essential supplies and view live news. This section describes the technical capabilities of the tool Testsigma, for software test automation , that help the team execute tests smoothly.

Testing 52

Testing Social Media Artificial Intelligence Cloud 52

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

All Things Distributed

MAY 21, 2018

And artificial intelligence makes it possible to break down tasks in such a way that everyone contributes what he or she can do best. People define problems and pre-structure them, and machines or algorithms develop solutions that people evaluate in the end. Examples are giving diagnoses to patients or legal advice.

Artificial Intelligence 76

Artificial Intelligence Technology Technology IoT 76

O'Reilly

MARCH 2, 2020

Fetishizing pair programming. The one thing I don’t see, and the one thing that more than anything else captures the value in Agile, is the ongoing conversation between the customer (however that’s conceived) and the developer. Agile is not, and never was, about getting developers to write software faster.

Artificial Intelligence 20

Artificial Intelligence Software Architecture Programming Infrastructure 20

Sutter's Mill

OCTOBER 25, 2011

Some examples: He’s the inventor of Lisp, the second-oldest high-level programming language, younger than Fortran by just one year. Lisp is one of the most influential programming languages in history. He coined the term “artificial intelligence.” He developed the idea of time-sharing, the first step toward multitasking.

Artificial Intelligence 40

Artificial Intelligence Java Programming Technology 40

O'Reilly

NOVEMBER 28, 2023

And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. But they may back off on AI development.

Open Source 106

Open Source Artificial Intelligence Google Infrastructure 106

O'Reilly

JANUARY 16, 2024

I even contributed my own hot take last year with my O’Reilly Radar article Real-Real-World Programming with ChatGPT.) For years I had an aspirational goal of unifying all of my backups into one central directory tree, akin to the concept of a monorepo in software development. software” rather than “hardware” in our brains).

Entertainment 72

Entertainment Internet Internet Design 72

O'Reilly

MARCH 12, 2024

Software has been making a similar transition. Observability is the first step in a “transistor-like” approach to building software. AI introduces many new problems that developers and IT staff will need to deal with. It’s easy to see the automation as a convenience, but in reality it’s a necessity.

Software 16

Software Software Monitoring Programming 16

O'Reilly

JANUARY 9, 2024

This kind of change has happened before: in the early days of computing, programmers “wrote” programs by plugging in wires, then by toggling in binary numbers, then by writing assembly language code, and finally (in the late 1950s) using early programming languages like COBOL (1959) and FORTRAN (1957).

Programming 111

Programming C++ Code Operating System 111