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 205

Artificial Intelligence DevOps Hardware Virtualization 205

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. This does not include lag time in the alert system. a critical task that’s easier said than done. Mean time to repair.

DevOps 209

DevOps Artificial Intelligence Metrics Network 209

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

Scalegrid

JANUARY 11, 2024

Continuous cloud monitoring enables real-time detection and response to incidents, with best practices highlighting the importance of assessing cloud service providers, adopting layered security, and leveraging automation for efficient scanning and monitoring. Nevertheless, this integration can present certain challenges to organizations.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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

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 145

AWS Cloud Artificial Intelligence Innovation 145

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. We also made the point that machine learning systems can improve IT efficiency; speeding analysis by narrowing focus.

Artificial Intelligence 146

Artificial Intelligence Efficiency Analytics Innovation 146

Scalegrid

FEBRUARY 8, 2024

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. This guide delves into how these systems work, the challenges they solve, and their essential role in businesses and technology.

Storage 130

Storage Systems Big Data Azure 130

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

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. This pattern should be broken.

Artificial Intelligence 79

Artificial Intelligence Social Media Logistics AWS 79

O'Reilly

APRIL 23, 2024

Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.” These are all astonishing tools for making our limited capacity for attention more efficient. But over time, something went very wrong.

Social Media 108

Social Media Google Internet Internet 108

Scalegrid

MARCH 14, 2024

Understanding Hybrid Cloud Strategy A hybrid cloud merges the capabilities of public and private clouds into a singular, coherent system. In practice, a hybrid cloud operates by melding resources and services from multiple computing environments, which necessitates effective coordination, orchestration, and integration to work efficiently.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

Dynatrace

MAY 1, 2023

IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights. This operational data could be gathered from live running infrastructures using software agents, hypervisors, or network logs, for example.

Analytics 190

Analytics Artificial Intelligence Big Data Open Source 190

Abhishek Tiwari

DECEMBER 13, 2017

Jeff is a Google Senior Fellow in the Google Brain team and widely known as a pioneer in artificial intelligence (AI) and deep learning community. This has far-reaching implications how future data systems and algorithms will be designed. As mentioned earlier, this seminal research opens door to several new areas.

Artificial Intelligence 40

Artificial Intelligence Hardware Google Benchmarking 40

Scalegrid

DECEMBER 21, 2023

With these essential support systems in place, you can effectively monitor your databases with up-to-date data about their health and functioning status at all times. This ensures each Redis® instance optimally uses the in-memory data store and aligns with the operating system’s efficiency.

Strategy 130

Strategy Monitoring Latency DevOps 130

Scalegrid

JANUARY 12, 2024

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. This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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 198

DevOps Artificial Intelligence Healthcare Innovation 198

Scalegrid

MAY 13, 2020

The MPP system leverages a shared-nothing architecture to handle multiple operations in parallel. Typically an MPP system has one leader node and one or many compute nodes. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Scalegrid

JANUARY 8, 2024

Real-world examples like Spotify’s multi-cloud strategy for cost reduction and performance, and Netflix’s hybrid cloud setup for efficient content streaming and creation, illustrate the practical applications of each model. Thus making it an ideal choice for businesses seeking a successful implementation of their multi-cloud strategy.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Dynatrace

NOVEMBER 24, 2020

Tracking changes to automated processes, including auditing impacts to the system, and reverting to the previous environment states seamlessly. Easy deployment of Dynatrace OneAgent with AWS Systems Manager Distributor , AWS Elastic Beanstalk , and AWS CloudFormation. AWS 5-pillars. Fully conceptualizing capacity requirements.

AWS 145

AWS Artificial Intelligence Best Practices Lambda 145

Dynatrace

NOVEMBER 15, 2021

A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. Logs can include data about user inputs, system processes, and hardware states. Optimized system performance. What is log monitoring? Log monitoring vs log analytics.

Analytics 211

Analytics Monitoring Artificial Intelligence DevOps 211

Dynatrace

JUNE 28, 2021

Infrastructure monitoring is the process of collecting critical data about your IT environment, including information about availability, performance and resource efficiency. Leveraging artificial intelligence and continuous automation is the most promising path—to evolve from ITOps to AIOps. Dynatrace news. Worth noting?

Infrastructure 180

Infrastructure Monitoring Artificial Intelligence Open Source 180

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 195

Artificial Intelligence Open Source Analytics Monitoring 195

Dynatrace

OCTOBER 4, 2022

Several pain points have made it difficult for organizations to manage their data efficiently and create actual value. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously. This approach is cumbersome and challenging to operate efficiently at scale.

Analytics 237

Analytics Artificial Intelligence Storage Serverless 237

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. Websites, mobile apps, and business applications are typical use cases for monitoring.

Artificial Intelligence 183

Artificial Intelligence Social Media Monitoring IoT 183

Tech News Gather

NOVEMBER 5, 2023

Blockchain technology, known for its decentralized ledger system and secure transaction capabilities, is finding new applications in various industries. These vehicles have the potential to revolutionize the way we commute, offering improved safety, efficiency, and convenience. This ensures that your vehicle doesn’t overspend.

Blockchain 52

Blockchain Automotive Transportation Energy 52

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. Websites, mobile apps, and business applications are typical use cases for monitoring. Performance monitoring.

Monitoring 132

Monitoring Performance Social Media Artificial Intelligence 132

All Things Distributed

DECEMBER 13, 2016

AWS is not only affordable but it is secure and scales reliably to drive efficiencies into business transformations. Extract valuable insights with machine learning: The world is witnessing the emergence of a broad and powerful range of new systems—computer programs that can teach themselves to grow and change when exposed to new data.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

Testsigma

MAY 19, 2021

Thinking back on how SDLC started and what it is today, the only reasons for its success can be accounted to efficiency, speed and most importantly automation – DevOps and cloud-based solutions can be considered major contributors here (after all DevOps is 41% less time-consuming than traditional ops ). . Centralizes the Processes.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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). Each of these categories opens up challenging problems in AI/visual algorithms, high-density computing, bandwidth/latency, distributed systems.

Wireless 54

Wireless IoT Analytics Architecture 54

Testsigma

SEPTEMBER 28, 2021

Hence, they start searching for a tool that can act as a bridge between efficient mobile testing and ROI. Testsigma’s test creation stands on two pillars – natural language processing and artificial intelligence. I don’t want to leave clients on slower networks. This is where Testsigma comes to your rescue.

Testing Tools 52

Testing Tools Mobile Testing Artificial Intelligence 52

Dynatrace

JUNE 1, 2021

Practitioners use APM to ensure system availability, optimize service performance and response times, and improve user experiences. Causes can run the gamut — from coding errors to database slowdowns to hosting or network performance issues. Mobile apps, websites, and business applications are typical use cases for monitoring.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

O'Reilly

NOVEMBER 28, 2023

The same thing happened to networking 20 or 25 years ago: wiring an office or a house for ethernet used to be a big deal. The field may have evolved from traditional statistical analysis to artificial intelligence, but its overall shape hasn’t changed much. Now we expect wireless everywhere, and even that’s not correct.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

SEPTEMBER 19, 2023

And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. Their research has applied evolutionary algorithms to groups that need efficient ways to manage finite, time-based resources such as classrooms and factory equipment. The mess is far from over.

Hardware 99

Hardware Storage Big Data Blockchain 99

All Things Distributed

MAY 21, 2018

Which human activities can be taken over by machines or ML-based systems? These new offerings are organized on platforms or networks, and less so in processes. And artificial intelligence makes it possible to break down tasks in such a way that everyone contributes what he or she can do best.

Artificial Intelligence 77

Artificial Intelligence Technology Technology IoT 77

Abhishek Tiwari

DECEMBER 27, 2017

A unified data management (UDM) system combines the best of data warehouses, data lakes, and streaming without expensive and error-prone ETL. It offers reliability and performance of a data warehouse, real-time and low-latency characteristics of a streaming system, and scale and cost-efficiency of a data lake.

Big Data 49

Big Data Artificial Intelligence Storage Hardware 49

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. Hyperautomation. IoT Test Automation. billion in 2016.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92