Scalegrid

JANUARY 12, 2024

What is workload in cloud computing? Simply put, it’s the set of computational tasks that cloud systems perform, such as hosting databases, enabling collaboration tools, or running compute-intensive algorithms. The environments, which were previously isolated, are now working seamlessly under central control.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

OCTOBER 4, 2023

Certain technologies can support these goals, such as cloud observability , workflow automation , and artificial intelligence. When organizations operate in complex cloud environments, they often lack visibility into activity in these environments and how problems arise.

Artificial Intelligence 173

Artificial Intelligence Innovation Strategy Efficiency 173

Dynatrace

DECEMBER 12, 2023

Artificial intelligence (AI) has revolutionized the business and IT landscape. For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development.

Artificial Intelligence 206

Artificial Intelligence DevOps Analytics Strategy 206

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 227

Healthcare Artificial Intelligence Innovation Strategy 227

Dynatrace

APRIL 22, 2024

In response to the scale and complexity of modern cloud-native technology, organizations are increasingly reliant on automation to properly manage their infrastructure and workflows. Intelligent: To reach the intelligent level, automation must be wholly reliable, sophisticated, and ingrained within organizational culture.

DevOps 166

DevOps Artificial Intelligence Government Innovation 166

Dynatrace

JUNE 28, 2021

Reducing downtime, improving user experience, speed, reliability, and flexibility, and ensuring IT investments are delivering on promised ROI across local IT stacks and in the cloud. Cloud services, mobile applications, and microservices-based application environments offer unparalleled flexibility for developers and users.

Infrastructure 178

Infrastructure Monitoring Artificial Intelligence Open Source 178

Dynatrace

OCTOBER 4, 2022

A data lakehouse features the flexibility and cost-efficiency of a data lake with the contextual and high-speed querying capabilities of a data warehouse. This approach enables organizations to use this data to build artificial intelligence (AI) and machine learning models from large volumes of disparate data sets.

Artificial Intelligence 208

Artificial Intelligence Analytics Storage Government 208

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 185

Performance DevOps Innovation Artificial Intelligence 185

Scalegrid

MAY 13, 2020

Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. Artificial intelligence (AI), while similar to machine learning, refers to the broader idea where machines can execute tasks smartly. Let’s walk through the top use cases for Greenplum: Analytics.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 2, 2022

According to Dynatrace research, 89% of CIOs said digital transformation accelerated over the course of 2020 , and 58% predicted it will continue to speed up. Today, software development teams use artificial intelligence (AI) to conduct software testing so they can eliminate human intervention. Autonomous testing.

Software 195

Software Software Artificial Intelligence DevOps 195

Dynatrace

DECEMBER 15, 2022

As more organizations adopt cloud-native technologies, traditional approaches to IT operations have been evolving. Complex cloud computing environments are increasingly replacing traditional data centers. The importance of ITOps cannot be overstated, especially as organizations adopt more cloud-native technologies. Performance.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

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 228

AWS Lambda Artificial Intelligence Serverless 228

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. CISOs want—but lack — visibility into runtime threats.

Artificial Intelligence 180

Artificial Intelligence Java Strategy Cloud 180

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 267

Artificial Intelligence Analytics Storage Architecture 267

Dynatrace

NOVEMBER 5, 2023

As a Microsoft strategic partner, Dynatrace delivers answers and intelligent automation for cloud-native technologies and Azure. Read on to learn more about how Dynatrace delivers AI transformation to accelerate modern cloud strategies.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

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 181

Analytics Artificial Intelligence Engineering Storage 181

KeyCDN

FEBRUARY 22, 2023

Artificial intelligence and machine learning Artificial intelligence (AI) and machine learning (ML) are becoming more prevalent in web development, with many companies and developers looking to integrate these technologies into their websites and web applications. Source: web.dev 2.

Artificial Intelligence 111

Artificial Intelligence Development Serverless Website 111

Dynatrace

OCTOBER 30, 2023

The growing challenge in modern IT environments is the exponential increase in log telemetry data, driven by the expansion of cloud-native, geographically distributed, container- and microservice-based architectures. Organizations need a more proactive approach to log management to tame this proliferation of cloud data.

Best Practices 243

Best Practices Analytics Artificial Intelligence Infrastructure 243

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 185

Artificial Intelligence Performance Innovation Speed 185

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 is exciting because we are seeing AI and ML-driven applications maturing rapidly as a way of mastering performance in hybrid, hyper-scale cloud environments.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144

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. A huge advantage of this approach is speed. Dynatrace news. But what is AIOps, exactly? What is AIOps?

Artificial Intelligence 212

Artificial Intelligence DevOps Innovation Metrics 212

Dynatrace

JULY 5, 2022

As organizations look to speed their digital transformation efforts, automating time-consuming, manual tasks is critical for IT teams. Artificial intelligence for IT operations (AIOps) uses machine learning and AI to help teams manage the increasing size and complexity of IT environments through automation. Dynatrace news.

Artificial Intelligence 285

Artificial Intelligence Cloud Innovation Strategy 285

Dynatrace

JANUARY 19, 2022

Technology that helps teams securely regain control of complex, dynamic, ever-expanding cloud environments can be game-changing. Managing cloud complexity becomes critical as organizations continue to digitally transform. Over the past 18 months, the need to utilize cloud architecture has intensified.

Artificial Intelligence 179

Artificial Intelligence DevOps Performance Games 179

Dynatrace

FEBRUARY 1, 2024

Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors. However, without observability, the AI wave—which has become more than just hype —comes with risks. The first risk is not adopting AI at all.

Artificial Intelligence 185

Artificial Intelligence Analytics Efficiency Database 185

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.

Open Source 197

Open Source Artificial Intelligence Internet Internet 197

Dynatrace

OCTOBER 17, 2022

Artificial intelligence for IT operations, or AIOps, combines big data and machine learning to provide actionable insight for IT teams to shape and automate their operational strategy. A huge advantage of this approach is speed. AIOps use cases. The goal of AIOps is to automate operations across the enterprise.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Driving this growth is the increasing adoption of hyperscale cloud providers (AWS, Azure, and GCP) and containerized microservices running on Kubernetes.

Analytics 208

Analytics Monitoring Artificial Intelligence DevOps 208

Alex Podelko

DECEMBER 19, 2019

System Performance Estimation, Evaluation, and Decision (SPEED) by Kingsum Chow, Yingying Wen, Alibaba. – Performance engineering as it done at Alibaba – which emerging as a major cloud provider. An Evaluation of Cloud-Native Tools by Karen Hughes, BMC. Optimizing your Cloud by Igor Trubin, Capital One. Or can you?

Efficiency 100

Efficiency Artificial Intelligence Scalability Performance 100

Dynatrace

MARCH 16, 2021

To recognize both immediate and long-term benefits, organizations must deploy intelligent solutions that can unify management, streamline operations, and reduce overall complexity. Despite all the benefits of modern cloud architectures, 63% of CIOs surveyed said the complexity of these environments has surpassed human ability to manage.

Artificial Intelligence 192

Artificial Intelligence Open Source Cloud Analytics 192

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

MAY 4, 2023

As release cycles accelerate and cloud complexity rises, the risk of vulnerabilities entering the SDLC and remaining undetected also increases. Two factors play a role in this challenge: specificity and speed. Speed, meanwhile, is a shared problem that paradoxically leads to silos.

DevOps 212

DevOps Speed Innovation Open Source 212

Testsigma

MAY 15, 2021

Hence, we add another dish to our menu which could speed up the process of automation: scriptless automation and scriptless testing tools. Scriptless testing is gaining market share rapidly as it provides multiple benefits such as faster developments, speeds up processes, saves a lot of time, and helps in scaling the software faster.

Testing Tools 52

Testing Tools Artificial Intelligence Testing Programming 52

All Things Distributed

DECEMBER 18, 2017

The cloud is an opportunity to stay competitive in each of these domains by giving companies freedom to innovate quickly. These teams are helping customers and partners of all sizes, including systems integrators and ISVs, to move to the cloud. The opening of the AWS EU (Paris) Region adds to our continued investment in France.

AWS 115

AWS Artificial Intelligence Education Energy 115

Testsigma

DECEMBER 8, 2019

Automation Via Distributed Cloud. There are multiple commercial testing tools like Saucelabs , Testsigma , TestComplete that offer to store the automated test cases on the cloud such that they become a complete package for testing. The Cloud Computing trend is expected to evolve better by transforming into a distributed cloud in 2020.

IoT 78

IoT Software Software Artificial Intelligence 78

Dynatrace

JANUARY 6, 2020

We also made the point that machine learning systems can improve IT efficiency; speeding analysis by narrowing focus. Easy enough to accomplish in the cloud, you find that the problem goes away. Simplistic fault analysis refers to an unnecessarily superficial approach to problem solving.

Artificial Intelligence 145

Artificial Intelligence Efficiency Analytics Innovation 145

All Things Distributed

DECEMBER 20, 2017

Developments like cloud computing, the internet of things, artificial intelligence, and machine learning are proving that IT has (again) become a strategic business driver. Marketers use big data and artificial intelligence to find out more about the future needs of their customers.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

Testsigma

DECEMBER 21, 2020

As the world moves forward, it wants to progress, more efficiency, more speed, and the same is the case with the software development industry. Testsigma allows you to run thousands of regression tests in parallel on a vast range of cloud and local devices which reduces the feedback time to just a few minutes.

Artificial Intelligence 52

Artificial Intelligence Testing Testing Tools Efficiency 52