Dynatrace

APRIL 29, 2021

Paul Puckett, Director of the Enterprise Cloud Management Agency (ECMA). Cloud integration and application performance monitoring at the federal level is in full force. Puckett and Steve Mazzuca, Director DoD Programs at Dynatrace, discussed Mr. Puckett’s role in this large-scale, multi-cloud transformation. Dynatrace news.

Artificial Intelligence 140

Artificial Intelligence Cloud Monitoring Education 140

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

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 212

Government Artificial Intelligence Innovation Programming 212

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

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 187

Analytics Artificial Intelligence Big Data Open Source 187

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.

Artificial Intelligence 202

Artificial Intelligence DevOps Hardware Virtualization 202

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

JANUARY 22, 2024

Artificial intelligence adoption is on the rise everywhere—throughout industries and in businesses of all sizes. Most AI today uses association-based machine learning models like neural networks that find correlations and make predictions based on them. Further, not every business uses AI in the same way or for the same reasons.

Artificial Intelligence 207

Artificial Intelligence Healthcare Retail Government 207

Scalegrid

MAY 13, 2020

Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure. Greenplum can run on any Linux server, whether it is hosted in the cloud or on-premise, and can run in any environment. So, how is this all coordinated?

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 151

DevOps Monitoring Cloud Artificial Intelligence 151

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 144

AWS Artificial Intelligence Best Practices Lambda 144

Scalegrid

FEBRUARY 8, 2024

By breaking up large datasets into more manageable pieces, each segment can be assigned to various network nodes for storage and management purposes. These systems safeguard against the risk of data loss due to hardware failure or network issues by spreading data across multiple nodes.

Storage 130

Storage Systems Big Data Azure 130

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 4, 2022

Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. Limited data availability constrains value creation.

Analytics 234

Analytics Artificial Intelligence Storage Serverless 234

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

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications – including your customers and employees. Advanced Cloud Observability. APM can be referred to as: Application performance monitoring.

Artificial Intelligence 182

Artificial Intelligence Social Media Monitoring IoT 182

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 includes CPU activity, profiling, thread analysis, and network profiling.

Artificial Intelligence 192

Artificial Intelligence Open Source Analytics Monitoring 192

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. It may have third-party calls, such as content delivery networks, or more complex requests to a back end or microservice-based application.

DevOps 195

DevOps Artificial Intelligence Healthcare Innovation 195

Testsigma

FEBRUARY 12, 2021

The usage by advanced techniques such as RPA, Artificial Intelligence, machine learning and process mining is a hyper-automated application that improves employees and automates operations in a way which is considerably more efficient than conventional automation. Automation Via Distributed Cloud. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

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

Dynatrace

JUNE 1, 2020

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course end-users that access these applications – including your customers and employees. Advanced Cloud Observability. APM can also be referred to as: Application performance management.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

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

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. Such artificial intelligence practices can improve the quality of processes and save time.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Why cloud-native applications make APM challenging. What does APM stand for?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

High Scalability

JUNE 22, 2018

And if you know anyone looking for a simple book that uses lots of pictures and lots of examples to explain the cloud, then please recommend my new book: Explain the Cloud Like I'm 10. 40 million : Netflix monthly spend on cloud services; 5% : retention increase can increase profits 25%; 50+% : Facebook's IPv6 traffic from the U.S,

Internet 113

Internet Internet Scalability Artificial Intelligence 113

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. Over the last 11 years, AWS has expanded its physical presence in the country, opening an office in La Defense and launching Edge Network Locations in Paris and Marseille.

AWS 115

AWS Artificial Intelligence Education Energy 115

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.

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52

Dynatrace

JANUARY 6, 2020

Well into the third week of analysis, the network admin changed a security parameter in the firewall—to address an unrelated issue—and you can guess what happened: the session drop problem disappeared. Easy enough to accomplish in the cloud, you find that the problem goes away.

Artificial Intelligence 145

Artificial Intelligence Efficiency Analytics Innovation 145

Testsigma

DECEMBER 8, 2019

Here multiple types of mechanical and digital objects are provided unique IDs and are given the ability to transfer data on the network without any human-to-human or human-to-computer interaction. Automation Via Distributed Cloud. 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

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

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. NPU: Neural Network Processing Unit (NPU) has become a general name of AI chip rather than a brand name of a company.

Hardware 99

Hardware Artificial Intelligence Architecture Google 99

O'Reilly

DECEMBER 2, 2019

The most obvious change 5G might bring about isn’t to cell phones but to local networks, whether at home or in the office. High-speed networks through 5G may represent the next generation of cord cutting. Those waits can be significant, even if you’re on a corporate network. Let’s get back to home networking.

Wireless 53

Wireless Serverless IoT Artificial Intelligence 53

ACM Sigarch

DECEMBER 6, 2018

As a result of these different types of usages, a number of interesting research challenges have emerged in the domain of visual computing and artificial intelligence (AI). Last but not least, the ability to auto-generate optimal neural networks (e.g. live streaming) requiring endpoints communicating via the cloud.

Wireless 54

Wireless IoT Analytics Architecture 54

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

O'Reilly

SEPTEMBER 12, 2023

Some of that evolution is driven by an increasingly complex world that requires attention to secure programming, cloud deployment, and other issues that didn’t exist a few decades ago. That code may take the form of dozens of microservices running as asynchronous processes and communicating over a network.

Software 121

Software Software Development Programming 121

O'Reilly

APRIL 23, 2024

Perhaps a more direct way to say this in the context of economic value creation is that companies such as Amazon and Google and Facebook had developed a set of remarkable advances in networked and data-enabled market coordination. But over time, something went very wrong. These companies did continue to innovate.

Social Media 101

Social Media Google Internet Internet 101

All Things Distributed

DECEMBER 13, 2016

The British Government is also helping to drive innovation and has embraced a cloud-first policy for technology adoption. AWS is working with incubators and accelerators such as SeedCamp and Techstars , in London; Ignite100 in Newcastle; and DotForge in Sheffield and Manchester to help startups make the most of the cloud.

AWS 166

AWS Cloud Artificial Intelligence IoT 166