Dynatrace

MARCH 28, 2024

AI and DevOps, of course The C suite is also betting on certain technology trends to drive the next chapter of digital transformation: artificial intelligence and DevOps. Today, with greater focus on DevOps and developer observability, engineers spend 70%-75% of their time writing code and increasing product innovation.

C++ 190

C++ Artificial Intelligence DevOps Innovation 190

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. 6: Platform engineering becomes mission-critical.

Technology 208

Technology Technology Artificial Intelligence Analytics 208

Testsigma

FEBRUARY 18, 2020

What is Artificial Intelligence? Artificial intelligence works on the principle of human intelligence. Almost all artificial machines built to date fall under this category. Artificial General Intelligence. How does Artificial Intelligence Work?

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

Dynatrace

SEPTEMBER 5, 2023

Technology and operations teams work to ensure that applications and digital systems work seamlessly and securely. Therefore, the integration of predictive artificial intelligence (AI) in the workflows of these teams has become essential to meet service-level objectives, collaborate effectively, and boost productivity.

Artificial Intelligence 266

Artificial Intelligence DevOps Analytics Engineering 266

Dynatrace

JULY 7, 2022

AIOps and observability—or artificial intelligence as applied to IT operations tasks, such as cloud monitoring—work together to automatically identify and respond to issues with cloud-native applications and infrastructure. Think’ with artificial intelligence. This is where artificial intelligence (AI) comes in.

Artificial Intelligence 185

Artificial Intelligence Automotive DevOps Infrastructure 185

Dynatrace

APRIL 3, 2023

On Episode 52 of the Tech Transforms podcast, Dimitris Perdikou, head of engineering at the UK Home Office , Migration and Borders, joins Carolyn Ford and Mark Senell to discuss the innovative undertakings of one of the largest and most successful cloud platforms in the UK. Make sure to stay connected with our social media pages.

Efficiency 198

Efficiency Social Media Artificial Intelligence Cloud 198

Dynatrace

MARCH 14, 2022

As patient care continues to evolve, IT teams have accelerated this shift from legacy, on-premises systems to cloud technology to more build, test, and deploy software, and fuel healthcare innovation. exemplifies this trend, where cloud transformation and artificial intelligence are popular topics.

Healthcare 232

Healthcare Artificial Intelligence Innovation Strategy 232

Dynatrace

JANUARY 23, 2024

Dynatrace unified observability and security is critical to not only keeping systems high performing and risk-free, but also to accelerating customer migration, adoption, and efficient usage of their cloud of choice.

Cloud 217

Cloud Artificial Intelligence Performance AWS 217

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. To do this effectively, the input from prompt engineering needs to be trustworthy and actionable.

Innovation 265

Innovation Software Software Artificial Intelligence 265

Dynatrace

FEBRUARY 1, 2024

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. The engineer can efficiently access this data via a natural language query in a CoPilot Notebook: “Summarize all MITRE security events of the last 72 hours.”

Artificial Intelligence 191

Artificial Intelligence Analytics Efficiency Database 191

Dynatrace

NOVEMBER 2, 2022

This shift often requires more frequent software releases with built-in measures that ensure a strong digital immune system. The ability to measure a system’s current state based on the data it generates. Chaos engineering. Building software that is secure, resilient, and high-quality involve , according to Gartner Inc.

Software 201

Software Software Artificial Intelligence DevOps 201

Dynatrace

JANUARY 13, 2022

At Dynatrace Perform, the annual software intelligence platform conference, we will highlight new integrations that eliminate toolchain silos, tame complexity, and automate DevOps practices. Reducing fragmentation enables DevOps and site reliability engineering (SRE) teams to work in a unified way to ensure code quality and security.

DevOps 272

DevOps Speed Artificial Intelligence Innovation 272

Dynatrace

FEBRUARY 10, 2022

The need for automation and orchestration across the software development lifecycle (SDLC) has increased, but many DevOps and SRE (site reliability engineering) teams struggle to unify disparate tools and cut back on manual tasks. As a result, development teams: Reduce the time to production from 10-15 days to less than 60 minutes.

Artificial Intelligence 233

Artificial Intelligence DevOps Azure Cloud 233

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. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications.

Performance 191

Performance DevOps Innovation Artificial Intelligence 191

Dynatrace

DECEMBER 15, 2022

This transition to public, private, and hybrid cloud is driving organizations to automate and virtualize IT operations to lower costs and optimize cloud processes and systems. Besides the traditional system hardware, storage, routers, and software, ITOps also includes virtual components of the network and cloud infrastructure.

Artificial Intelligence 208

Artificial Intelligence DevOps Hardware Virtualization 208

Dynatrace

JULY 6, 2022

As organizations continue to adopt multicloud strategies, the complexity of these environments grows, increasing the need to automate cloud engineering operations to ensure organizations can enforce their policies and architecture principles. This requires significant data engineering efforts, as well as work to build machine-learning models.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

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. This automatic analysis enables engineers to spend more time innovating and improving business operations.

Artificial Intelligence 192

Artificial Intelligence Innovation Servers Database 192

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. DevOps, together with complementary technologies and tactics, such as site reliability engineering (SRE) , has the potential to transform the business.

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

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)? But how much greater are the risks for the next generation of AI systems?

Social Media 88

Social Media Artificial Intelligence Innovation Logistics 88

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. This precision reduces wasted motion and accelerates response times.

Artificial Intelligence 189

Artificial Intelligence Performance Innovation Speed 189

Dynatrace

NOVEMBER 1, 2022

These metrics help to keep a network system up and running?, Containment: Implements actions to safeguard affected systems, resolves incidents quickly and escalates an event to other teams when necessary. Maintenance: Reduces the risk of an incident occurring again with root-cause analysis and continuous improvements to the system.

DevOps 212

DevOps Artificial Intelligence Metrics Network 212

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

O'Reilly

MARCH 26, 2024

At the other end of the extreme consider a search engine. You could say that this search engine has a “creativity problem”—it will never respond with something new. A search engine is 0% dreaming and has the creativity problem. An LLM is 100% dreaming and has the hallucination problem.

Artificial Intelligence 110

Artificial Intelligence Social Media Google Internet 110

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 accurate and precise intelligence is now the type of data that can be trusted to trigger auto-remediation processes proactively. Dynatrace news.

AWS 146

AWS Cloud Artificial Intelligence Innovation 146

Dynatrace

NOVEMBER 20, 2020

We are excited to announce that Dynatrace has been named a Leader in the Forrester Wave™: Artificial Intelligence for IT Operations (AIOps), 2020 report. Other strengths include microservices, transaction, and customer experience (CX) monitoring, and intelligent analytics. Dynatrace news.

Artificial Intelligence 255

Artificial Intelligence Serverless Analytics Innovation 255

Dynatrace

JANUARY 4, 2024

Traditional analytics and AI systems rely on statistical models to correlate events with possible causes. It removes much of the guesswork of untangling complex system issues and establishes with certainty why a problem occurred. That’s where causal AI can help. Causal AI is particularly effective in observability. Timeliness.

Government 205

Government Analytics Benchmarking Storage 205

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). The Dynatrace approach: APM and beyond.

Artificial Intelligence 236

Artificial Intelligence Monitoring Infrastructure Cloud 236

O'Reilly

DECEMBER 12, 2023

What should copyright law mean in the age of artificial intelligence? AI models are probability engines; an LLM computes the next word that’s most likely to follow the prompt, then the next word most likely to follow that, and so on. But Google has the best search engine in the world. How do we make sense of this?

Artificial Intelligence 101

Artificial Intelligence Media Google Processing 101

Dynatrace

JULY 22, 2019

Use the Artificial Intelligence”, it is not a Jedi Trick. Self-service content management systems, for instance, allow non-IT staff to make content changes on production systems. With this approach, the support team get flooded with alerts and must implement complex alert de-duplication engines to avoid spam.

Best Practices 164

Best Practices Artificial Intelligence Monitoring Tuning 164

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. These approaches are slow and inaccurate limiting its practical applications.

Software 264

Software Software Artificial Intelligence Metrics 264

All Things Distributed

SEPTEMBER 4, 2017

In the case of artificial intelligence (AI) and machine learning (ML), this is different. Many are uncomfortable with the idea that an artificial intelligence exists alongside human intelligence. For the past 20 years, thousands of software engineers at Amazon have been working on ML. That is understandable.

Artificial Intelligence 149

Artificial Intelligence Transportation Education Airlines 149

O'Reilly

JANUARY 6, 2020

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. And would it give us better and more fruitful ways to think about the interconnections between systems? We need new, more sophisticated programming tools.

Programming 98

Programming Artificial Intelligence Education Games 98

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

O'Reilly

APRIL 9, 2024

All Hail the QA Engineer.” Hail the QA Engineer” may be clickbait, but it isn’t controversial to say that testing and debugging will rise in importance. Integration tests (tests of multiple modules) and acceptance tests (tests of entire systems) are more difficult. Of one way systems to force player flow.

Games 77

Games Programming Testing Code 77

O'Reilly

OCTOBER 17, 2023

Anant Agarwal, an MIT professor and of the founders of the EdX educational platform, recently created a stir by saying that prompt engineering was the most important skill you could learn. But before discussing why, it’s important to think about what prompt engineering means. Designing automated prompting systems is clearly important.

Programming 100

Programming Education Engineering Design 100

Adrian Cockcroft

JUNE 29, 2019

What we do to make our computer systems observable is actually closely related to consciousness. The essential quality of conciseness is a model of the system. That model is fed with information and interrogated about the overall health and behavior of the system. We have a verbal query engine for our model.

Artificial Intelligence 72

Artificial Intelligence Energy Monitoring Open Source 72

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