Dynatrace

OCTOBER 1, 2019

My favorite slide, that I used in nearly every one of my presentations, is a simple statement; “You have one of the hardest jobs in the world.”. However, every cloud has a silver lining so to speak, and the rewards reaped are more often than not worth the risk. IT performance problems increase with cloud-native architectures.

Cloud 214

Cloud Artificial Intelligence Serverless Government 214

Dynatrace

JANUARY 16, 2020

We concluded by suggesting that the fuzziness of machine learning systems presents a fundamental problem for autonomous IT operations. One of the fundamental differences between machine learning systems and the artificial intelligence (AI) at the core of the Dynatrace Software Intelligence Platform is the method of analysis.

Cloud 157

Cloud Artificial Intelligence Virtualization Efficiency 157

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 184

Azure Analytics Artificial Intelligence Innovation 184

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 sheer volume of a modern enterprise’s data presents a challenge to those tasked with monitoring it, says Gartner.

DevOps 154

DevOps Monitoring Cloud Artificial Intelligence 154

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 186

Analytics Artificial Intelligence Engineering Storage 186

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 217

Artificial Intelligence DevOps Innovation Metrics 217

Dynatrace

FEBRUARY 1, 2024

The first use case Reitbauer presented outlines a developer who hears from the database team that a problem might be occurring with the database. 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 191

Artificial Intelligence Analytics Efficiency Database 191

Dynatrace

JULY 6, 2022

Scripts and procedures usually focus on a particular task, such as deploying a new microservice to a Kubernetes cluster, implementing data retention policies on archived files in the cloud, or running a vulnerability scanner over code before it’s deployed. Automating IT practices without integrated AIOps presents several challenges.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Scalegrid

FEBRUARY 8, 2024

Challenges and Considerations in Distributed Storage Deployment Although distributed storage systems offer significant advantages, they also present distinct challenges that must be addressed. This integration enhances the flexibility of cloud services while bolstering their computational and storage functions.

Storage 130

Storage Systems Big Data Azure 130

Testsigma

FEBRUARY 12, 2021

Presently we know it is far from easy to forecast the future – all of us have discovered this in 2020 through major ups and downs. The world’s Artificial Intelligence market is anticipated to increase from $28.42 Present Artificial Intelligence investments in North America alone are estimated to hit USD 6-7 billion.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Alex Podelko

DECEMBER 19, 2019

Even when I took out the sessions that don’t directly cover the topics of my primary interests as well as mainframe-specific presentations, I ended up with 21 sessions in 2.5 – Performance engineering as it done at Alibaba – which emerging as a major cloud provider. An Evaluation of Cloud-Native Tools by Karen Hughes, BMC.

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

DECEMBER 22, 2021

A platform approach, on the other hand, presents a more effective option for understanding observability as a whole. Observability platforms are becoming essential as the complexity of cloud-native architectures increases. As a result, teams can gain full visibility into their applications and multicloud infrastructure.

Artificial Intelligence 182

Artificial Intelligence Metrics Architecture DevOps 182

Testsigma

JANUARY 7, 2022

Another software testing trend to watch out for in 2022 is artificial intelligence(AI) and machine learning(ML). All this implementation of artificial intelligence has been primarily into the development field. AI is used to predict and present but not to verify the predicted data etc. Signup now.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Testsigma

MAY 19, 2021

DevOps and cloud-based computing have existed in our life for some time now. Today, we are here to talk about the successful amalgamation of DevOps and cloud-based technologies that is amazing in itself. Why Opt For Cloud-Based Solutions and DevOps? Cloud-based solutions are extremely fast when combined with DevOps.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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. The sudden lure of artificial intelligence (AI) and machine learning (ML) systems designed for IT brings new urgency to the topic of intellectual debt. Dynatrace news.

Artificial Intelligence 151

Artificial Intelligence Traffic Efficiency Innovation 151

All Things Distributed

JUNE 30, 2017

So much so, that in March 2017, we announced Amazon Connect, which is the result of nearly ten years of work to build cloud-based contact centers at scale to power customer service for more than 50 Amazon teams and subsidiaries, including Amazon.com, Zappos, and Audible. AI has incredible potential in this area.

Artificial Intelligence 130

Artificial Intelligence Lambda AWS Virtualization 130

Testsigma

MAY 15, 2021

The artificial intelligence algorithm paces up the automation test creation very easily (up to 5 times as claimed by Testsigma ). Testsigma gives you the option to connect to any of the 5 device labs on the cloud at the click of a button and perform your cross browser testing with ease.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

Testsigma

DECEMBER 8, 2019

There are multiple ways in which testing is being democratized at present and the trend is expected to grow. Automation Via Distributed Cloud. The only problem that could sometimes bother their users is sometimes the delay they face in testing execution and seeing the results because of the cloud being hosted in a faraway location.

IoT 78

IoT Software Software Artificial Intelligence 78

Testsigma

SEPTEMBER 28, 2021

While I know that there are other tools in the sea, today, I will defend the complete cloud-based test automation tool Testsigma and how it can play a protagonist in your mobile testing movie. Testsigma’s mobile test creation is one of the best features that you will get on any cloud-based automation tool. It is completely your choice.

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52

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

Testsigma

JANUARY 7, 2022

For simplicity, I have divided this post into two different sections – technical and management – how Testsigma, a completely cloud-based test automation tool , supports team members in both these domains while they work from home. Cloud-based infrastructure. Cloud-based systems provide a two-fold advantage to the team.

Testing 52

Testing Social Media Artificial Intelligence Cloud 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. 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

O'Reilly

APRIL 23, 2024

Some of those innovations, like Amazon’s cloud computing business, represented enormous new markets and a new business model. Fast forward to the present, and Amazon has clearly given up on the goal of finding the best result for its users. These companies did continue to innovate.

Social Media 107

Social Media Google Internet Internet 107

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? Why does Software Testing industry Need AI? AI tools in the market.

Software 51

Software Software Testing Artificial Intelligence 51

O'Reilly

MARCH 2, 2020

The most important is discovering how to work with data science and artificial intelligence projects. Large teams present their own problems, but it’s ironic to see writers scorning the “two pizza group” concept because it can’t possibly work for large organizations. Can Agile work for large teams?

Artificial Intelligence 21

Artificial Intelligence Software Architecture Programming Infrastructure 21

O'Reilly

SEPTEMBER 19, 2023

Cloud computing? And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. And just as we started to complain that the crypto miners were snapping up all of the affordable GPU cards, cloud providers stepped up to offer access on-demand. Next up is compute power.

Hardware 99

Hardware Storage Big Data Blockchain 99

O'Reilly

JULY 20, 2021

Apple’s FaceID uses many levels of presentation attack detection (also known as “anti-spoofing”): it verifies your eyes are open and you are looking at the screen, and it uses a depth sensor to make sure it isn’t “seeing” a photo. Until we acknowledge that hardware put in a home is different from a cloud service, we will never get it right.

Google 121

Google Games Technology Technology 121