Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.

Technology 202

Technology Technology Artificial Intelligence Analytics 202

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. That’s why causal AI use cases abound for organizations looking to build more reliable and transparent AI systems. More generally, causal AI can contribute to explainable and fair AI systems. Government.

Artificial Intelligence 206

Artificial Intelligence Healthcare Retail Government 206

Dynatrace

APRIL 18, 2024

Observability of applications and infrastructure serves as a critical foundation for DevOps and platform engineering, offering a comprehensive view into system performance and behavior. For example, an observability solution can track and analyze usage data to help engineers understand how and when to scale resources based on system demand.

DevOps 189

DevOps Engineering Artificial Intelligence Infrastructure 189

Dynatrace

OCTOBER 17, 2023

Vulnerabilities for critical systems A global leader in the energy space found itself asking this very question. Additionally, the energy company didn’t have systems in place to engage in automated remediation were an attack to unfold.

Energy 191

Energy Artificial Intelligence AWS Lambda 191

Dynatrace

APRIL 21, 2023

The team can “catch more bugs and performance problems before the code is deployed to the production environment,” Smith said. This means that our development teams are spending less time fixing defects and more time writing new code. It helps our DevOps team respond and resolve systems’ problems faster,” Smith said.

Innovation 182

Innovation Speed Artificial Intelligence Government 182

Dynatrace

JANUARY 13, 2022

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. They need automated DevOps practices.

DevOps 267

DevOps Speed Artificial Intelligence Innovation 267

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity. GPTs can also help quickly onboard team members to new development platforms and toolsets.

Innovation 259

Innovation Software Software Artificial Intelligence 259

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. The second use case involves a security engineer who becomes aware of a new threat and wants to know if any of the organization’s systems might be affected.

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

Dynatrace

MARCH 22, 2023

To avoid these problems, set up automated DevSecOps release validation and security gates so that no insecure code progresses to production. Identification and authentication failures Unauthorized users can access a system because of weak security or session management functions.

Open Source 197

Open Source Artificial Intelligence Internet Internet 197

Dynatrace

NOVEMBER 22, 2021

Amazon Web Services (AWS) and other cloud platforms provide visibility into their own systems, but they leave a gap concerning other clouds, technologies, and on-prem resources. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

JULY 6, 2022

IT automation is the practice of using coded instructions to carry out IT tasks without human intervention. At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. What is IT automation?

Artificial Intelligence 188

Artificial Intelligence Tuning Strategy Big Data 188

Dynatrace

FEBRUARY 10, 2022

But as they turn to cloud environments to develop new products and manage IT infrastructure, they have introduced a host of complex systems that need to be managed and secured. Consider a true self-driving car as an example of how this software intelligence works. It starts with deep and broad observability.

Artificial Intelligence 185

Artificial Intelligence Performance Innovation Speed 185

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. Large groups of people are left without water, electricity, or other basic systems that sustain life. See the IBM Code Patterns site for more information.

Code 80

Code Artificial Intelligence Development Logistics 80

Dynatrace

MAY 27, 2022

As a result, many IT teams are turning to artificial intelligence for IT operations (AIOps) , which integrates AI into operations to automate systems across the development lifecycle. Automating AIOps with automatic and intelligent observability. An example of the self-healing web.

Artificial Intelligence 186

Artificial Intelligence Innovation Servers Database 186

Dynatrace

DECEMBER 16, 2019

Even small amounts of technical debt compound as new code branches from old, further embedding the shortcomings into the system. The sudden lure of artificial intelligence (AI) and machine learning (ML) systems designed for IT brings new urgency to the topic of intellectual debt.

Artificial Intelligence 148

Artificial Intelligence Traffic Efficiency Innovation 148

Alex Podelko

DECEMBER 19, 2019

Computing System Congestion Management Using Exponential Smoothing Forecasting by James Brady, State of Nevada. – System performance management is an important topic – and James is going to share a practical method for it. System Performance Estimation, Evaluation, and Decision (SPEED) by Kingsum Chow, Yingying Wen, Alibaba.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

JANUARY 13, 2021

This latest G2 user rating follows a steady cadence of recent industry recognition for Dynatrace, including: Named a leader in The Forrester Wave™: Artificial Intelligence for IT Operations, 2020. You get insights into your application from End User Experience to code-level analytics in minutes.” – Telecommunications Consultant.

Artificial Intelligence 138

Artificial Intelligence DevOps Analytics Innovation 138

Dynatrace

NOVEMBER 8, 2021

Organizations use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Artificial intelligence for IT operations (AIOps) for applications. APM solutions: A primer. Application discovery, tracing, and diagnostics (ADTD). Real-time awareness in context.

Artificial Intelligence 231

Artificial Intelligence Monitoring Infrastructure Cloud 231

Dynatrace

JANUARY 23, 2024

Enter AI observability, which uses AI to understand the performance and cost-effectiveness details of various systems in an IT environment. But organizations also need to balance increasing AI adoption with the risks of runaway costs associated with increasing adoption.

Performance 185

Performance DevOps Innovation Artificial Intelligence 185

Dynatrace

JULY 22, 2019

Use the Artificial Intelligence”, it is not a Jedi Trick. Typically, applications owners who have little or no experience in monitoring, give requirements such as: “If there are more than 2 HTTP errors code (4xx and 5xx) report it immediately” or report any errors in the logs etc. Dynatrace news. Old School monitoring.

Best Practices 163

Best Practices Artificial Intelligence Monitoring Tuning 163

Dynatrace

SEPTEMBER 3, 2020

AIOps is the terminology that indicates the use of, typically, machine learning (ML) based artificial intelligence to cut through the noise in IT operations, specifically incident handling and management. Dynatrace news. And then users typically have the option of reinforcing learning through rating and similar means.

Software 264

Software Software Artificial Intelligence Metrics 264

Abhishek Tiwari

JULY 8, 2023

In today's digital landscape, where user experience is paramount, organizations must ensure their applications and systems are functioning optimally at all times. The Evolution of Testing and Monitoring Historically, software testing and system monitoring have been separate processes, each serving distinct purposes.

Monitoring 52

Monitoring Testing Artificial Intelligence Traffic 52

Testsigma

MAY 15, 2021

Scriptless testing tools or codeless testing tools convert the easy-to-understand-to-human-eye instructions written by the team into code behind the scene. The artificial intelligence algorithm paces up the automation test creation very easily (up to 5 times as claimed by Testsigma ).

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

O'Reilly

SEPTEMBER 12, 2023

A few weeks ago, I saw a tweet that said “Writing code isn’t the problem. OS X, which used to trumpet “It just works,” has evolved to “it used to just work”; the most user-centric Unix-like system ever built now staggers under the load of new and poorly thought-out features. Controlling complexity is.” That brings me to my main point.

Software 122

Software Software Development Programming 122

Dynatrace

JANUARY 6, 2020

We also made the point that machine learning systems can improve IT efficiency; speeding analysis by narrowing focus. For machine learning systems, intermittent problems are particularly challenging. Without consistency in the data, the system needs to look harder for possible causes. I’ve picked one.

Artificial Intelligence 145

Artificial Intelligence Efficiency Analytics Innovation 145

O'Reilly

JANUARY 6, 2020

Like reading, some people learn how to code with little training, and others don’t. 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. We need to think about how programming is taught. Mike Loukides.

Programming 98

Programming Artificial Intelligence Education Games 98

O'Reilly

APRIL 9, 2024

Integration tests (tests of multiple modules) and acceptance tests (tests of entire systems) are more difficult. Security is yet another issue: is an AI system able to red-team an application? We quickly run into an extension of Kernighan’s Law : debugging is twice as hard as writing code. Of stepped reward systems.

Games 77

Games Programming Testing Code 77

Testsigma

DECEMBER 20, 2019

Artificial Intelligence (AI) is one such technology that has made a substantial contribution to automation in general. Artificial Intelligence (AI): A brief introduction. Artificial Intelligence (AI) is an interdisciplinary branch of computer science, parts of which have been commercialized.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance.

Strategy 221

Strategy Artificial Intelligence Storage Cloud 221

Tech News Gather

JULY 18, 2023

Thus, with such apps, we can reduce the risk of infection and ease the burden on the healthcare system. Robust security system Laravel offers a robust security system for web applications for medical sciences. Thanks to its modular architecture and caching system that offer queued service.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 52

ACM Sigarch

APRIL 26, 2018

Dataflow Processing Unit (DPU) is the product of Wave Computing, a Silicon Valley company which is revolutionizing artificial intelligence and deep learning with its dataflow-based solutions. The new DGX-2, which achieves 2 petaFLOPS in the system, combines 16 fully interconnected GPUS with 10x the deep learning performance.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

O'Reilly Software

JUNE 12, 2018

I started programming many years ago, working in a role where I created artificial intelligence software for data analysis. We tend to put our heads in the sand when it comes to the misery of our users whose data may leak from our systems, because after collecting it, we often forget about protecting it.

Artificial Intelligence 78

Artificial Intelligence Development Software Engineering Programming 78

O'Reilly

JULY 11, 2023

I did a very non-scientific study of the amount of time programmers actually spend writing code. OK, I just typed “How much of a software developer’s time is spent coding” into the search bar and looked at the top few articles, which gave percentages ranging from 10% to 40%. How much time and effort does that save?

Programming 99

Programming Code Design Software 99

O'Reilly

OCTOBER 17, 2023

Designing and writing software systems that generate prompts automatically. Designing automated prompting systems is clearly important. It’s arguable whether this should be called “engineering”; at this point, it’s more of an art than an applied science. This is probably the definition that Agarwal has in mind.

Programming 100

Programming Education Engineering Design 100

Testsigma

SEPTEMBER 21, 2019

In layman terms, AI or Artificial intelligence is the area of computer science that focuses on making machines “intelligent.” And by intelligence, it means making the system capable of learning and taking decisions like humans. What is AI? Create test plans automatically.

Software 51

Software Software Testing Artificial Intelligence 51

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. This contrasts stochastic AIOps approaches that use probability models to infer the state of systems.

Artificial Intelligence 211

Artificial Intelligence DevOps Innovation Metrics 211

Dynatrace

OCTOBER 2, 2023

However, the distributed system of a microservices architecture comes with its own cost: increased application complexity and convoluted testing. Likewise, refactoring and rewriting code takes a lot of time and effort. In fact, it can be difficult to make code changes that won’t disrupt the entire system.

Architecture 231

Architecture Artificial Intelligence Cloud Open Source 231