Dynatrace

JANUARY 26, 2024

From FedRAMP to zero trust and artificial intelligence (AI), the group covered a range of challenges facing public sector organizations today. But up to now, FedRAMP has been viewed as a bottleneck process that delays the delivery of cloud services, which ultimately hurts modernization efforts.

Government 215

Government Artificial Intelligence Innovation Programming 215

Dynatrace

NOVEMBER 6, 2023

Azure observability and Azure data analytics are critical requirements amid the deluge of data in Azure cloud computing environments. As digital transformation accelerates and more organizations are migrating workloads to Azure and other cloud environments, they need observability and data analytics capabilities that can keep pace.

Azure 182

Azure Analytics Artificial Intelligence Innovation 182

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. It goes beyond traditional monitoring—metrics, logs, and traces—to encompass topology mapping, code-level details, and user experience metrics that provide real-time insights.

DevOps 182

DevOps Engineering Artificial Intelligence Infrastructure 182

Dynatrace

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Government.

Artificial Intelligence 210

Artificial Intelligence Healthcare Retail Government 210

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. That’s why teams need a modern observability approach with artificial intelligence at its core.

Innovation 185

Innovation Speed Artificial Intelligence Government 185

Dynatrace

NOVEMBER 22, 2021

In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. At AWS re:Invent 2021 , the focus is on cloud modernization.

AWS 230

AWS Lambda Artificial Intelligence Serverless 230

Dynatrace

JUNE 1, 2022

Vulnerability management continues to be a key concern as organizations strive to innovate more rapidly and adopt cloud-native technologies to achieve their goals. But with cloud-based architecture comes greater complexity and new vulnerability challenges. Many of these libraries have not been adequately tested before deployment.

Artificial Intelligence 182

Artificial Intelligence Java Strategy Cloud 182

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 complexity of modern cloud environments necessitates broad and deep observability into every layer of the tech stack to mitigate risk and deliver software quickly and securely.

Artificial Intelligence 188

Artificial Intelligence Analytics Efficiency Database 188

Dynatrace

MARCH 22, 2023

In today’s complex multicloud environments, ensuring that your cloud applications are protected and secure is critical. The advent of microservices and serverless computing means that cloud-based applications may consist of thousands of containerized services. Continuously monitor environments for vulnerabilities in runtime.

Open Source 200

Open Source Artificial Intelligence Internet Internet 200

Dynatrace

OCTOBER 1, 2020

The Dynatrace Software Intelligence Platform gives you a complete Infrastructure Monitoring solution for the monitoring of cloud platforms and virtual infrastructure, along with log monitoring and AIOps. Network traffic data aggregation and filtering for on-premises, cloud, and hybrid networks. What’s next.

Traffic 264

Traffic Network Infrastructure Artificial Intelligence 264

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 191

Artificial Intelligence Tuning Strategy Big Data 191

Dynatrace

FEBRUARY 10, 2022

Organizations are accelerating movement to the cloud, resulting in complex combinations of hybrid, multicloud [architecture],” said Rick McConnell, Dynatrace chief executive officer at the annual Perform conference in Las Vegas this week. Consider a true self-driving car as an example of how this software intelligence works.

Artificial Intelligence 187

Artificial Intelligence Performance Innovation Speed 187

Dynatrace

JANUARY 23, 2024

Companies now recognize that technologies such as AI and cloud services have become mandatory to compete successfully. According to the recent Dynatrace report, “ The state of AI 2024 ,” 83% of technology leaders said AI has become mandatory to keep up with the dynamic nature of cloud environments.

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

Dynatrace

NOVEMBER 5, 2019

With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves. Application Insights – Collects performance metrics of the application code. Hybrid and multi-cloud platform –.

Azure 138

Azure Artificial Intelligence Metrics Innovation 138

Dynatrace

NOVEMBER 8, 2021

Here’s a brief primer on APM and how it has changed for cloud-native environments, and some tips on what to look for in modern APM solutions. In recent years, APM has expanded to encompass cloud-native environments and distributed applications composed of microservices. But what differentiates one APM offering from another?

Artificial Intelligence 234

Artificial Intelligence Monitoring Infrastructure Cloud 234

Dynatrace

JANUARY 13, 2021

This recognition follows Dynatrace’s top placement across recent G2 Grid® Reports, including AIOps Platforms , Cloud Infrastructure Monitoring , Container Monitoring , Digital Experience Monitoring , Session Replay and Application Performance Monitoring. “Make your cloud autonomous”. So great!” – Insurance Consultant .

Artificial Intelligence 138

Artificial Intelligence DevOps Analytics Innovation 138

Alex Podelko

DECEMBER 19, 2019

. – Performance engineering as it done at Alibaba – which emerging as a major cloud provider. An Evaluation of Cloud-Native Tools by Karen Hughes, BMC. – Looks like cloud-native performance tools mature – it is important to understand what they could do and what you need third-party tools for. a Panel Discussion.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

The Polyglot Developer

JUNE 3, 2019

Amazon and a lot of cloud vendors such as Microsoft and Google have services around machine learning (ML), artificial intelligence (AI), and virtual assistants. A popular one that might come to mind is Amazon Alexa, something I’ve written quite a few tutorials around over the years. The concept around Alexa is simple.

AWS 97

AWS Artificial Intelligence Virtualization Google 97

Dynatrace

MAY 4, 2023

During a Perform 2023 conference session, Christian Schwarzbauer, fellow product architect at Dynatrace, and Gerhard Byrne, senior product manager at Dynatrace, explored the role of intelligent automation in DevSecOps and three ways teams can converge automation and security and avoid DevSecOps silos.

DevOps 215

DevOps Speed Innovation Open Source 215

Dynatrace

DECEMBER 16, 2019

And while the concept is not new, the disruptions of cloud transformation and increasing time-to-market pressures shine a bright light on its many downsides. Even small amounts of technical debt compound as new code branches from old, further embedding the shortcomings into the system. Dynatrace news.

Artificial Intelligence 150

Artificial Intelligence Traffic Efficiency Innovation 150

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

Scalegrid

MARCH 14, 2024

Mastering Hybrid Cloud Strategy Are you looking to leverage the best private and public cloud worlds to propel your business forward? A hybrid cloud strategy could be your answer. This approach allows companies to combine the security and control of private clouds with public clouds’ scalability and innovation potential.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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. These data volumes must be transferred from edge devices to the cloud. Growing AI adoption has ushered in a new reality.

Strategy 224

Strategy Artificial Intelligence Storage Cloud 224

Dynatrace

JANUARY 6, 2020

Easy enough to accomplish in the cloud, you find that the problem goes away. But what if the root cause were not CPU resources, but a problem with serial threaded code, or with a database lock, or with inefficient garbage collection? Like technical debt, making good decisions early can help you avoid accruing interest.

Artificial Intelligence 146

Artificial Intelligence Efficiency Analytics Innovation 146

Testsigma

DECEMBER 21, 2020

Scriptless automation tools save a lot of time that is usually spent on writing code for your regression testing. In Self-healing test automation, the AI detects abnormalities in the existing code and automatically fixes the changes made in the code to prevent test failures. Signup for Testsigma Now.

Artificial Intelligence 52

Artificial Intelligence Testing Testing Tools Efficiency 52

O'Reilly

SEPTEMBER 12, 2023

A few weeks ago, I saw a tweet that said “Writing code isn’t the problem. Anyone who works in programming has seen the source code for some project evolve from something short, sweet, and clean to a seething mass of bits. Saying “yes, adding security made the code more complex” is wrong on several fronts.

Software 122

Software Software Development Programming 122

Tech News Gather

JULY 18, 2023

All in all, healthcare apps are essential tools that can help doctors streamline their healthcare services and offer patients the flair of well-being in a convenient and accessible way; additionally, contemporary technologies such as Artificial Intelligence and Machine Learning have boosted the efficacy of apps in various ways.

Healthcare 52

Healthcare Social Media Development Artificial Intelligence 52

Dynatrace

OCTOBER 2, 2023

Limits of a lift-and-shift approach A traditional lift-and-shift approach, where teams migrate a monolithic application directly onto hardware hosted in the cloud, may seem like the logical first step toward application transformation. Likewise, refactoring and rewriting code takes a lot of time and effort.

Architecture 234

Architecture Artificial Intelligence Cloud Open Source 234

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. In Google I/O’17, Google announced its cloud TPU (also known as TPU2), which can handle both training and inference.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

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. Dynatrace news. But what is AIOps, exactly? And how can it support your organization? What is AIOps?

Artificial Intelligence 215

Artificial Intelligence DevOps Innovation Metrics 215

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? Performance and Load testing: Generation of load for performance and load testing.

Software 51

Software Software Testing Artificial Intelligence 51

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 194

Monitoring Artificial Intelligence DevOps Serverless 194

Dynatrace

FEBRUARY 12, 2024

During a Dynatrace Perform 2024 breakout session, Dynatrace colleagues Bipin Singh, product marketing director, and Markie Duby, principal solutions engineer, showed how organizations can bring together observability, security, and business data from cloud-native and multicloud environments with Dynatrace.

Analytics 183

Analytics Artificial Intelligence Engineering Storage 183

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. This is when the API library is referenced from the application code. ” W.W.

Artificial Intelligence 195

Artificial Intelligence Open Source Analytics Monitoring 195

Dynatrace

OCTOBER 4, 2022

This architecture offers rich data management and analytics features (taken from the data warehouse model) on top of low-cost cloud storage systems (which are used by data lakes). It’s based on cloud-native architecture and built for the cloud. Ingest and process with Grail. Thus, it can scale massively.

Artificial Intelligence 270

Artificial Intelligence Analytics Storage Architecture 270

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 post Gartner: Observability drives the future of cloud monitoring for DevOps and SREs appeared first on Dynatrace blog.

DevOps 152

DevOps Monitoring Cloud Artificial Intelligence 152

Dynatrace

NOVEMBER 24, 2020

As organizations plan, migrate, transform, and operate their workloads on AWS, it’s vital that they follow a consistent approach to evaluating both the on-premises architecture and the upcoming design for cloud-based architecture. Seamless monitoring of AWS Services running in AWS Cloud and AWS Outposts. Dynatrace and AWS.

AWS 145

AWS Artificial Intelligence Best Practices Lambda 145