Scalegrid

MARCH 14, 2024

Key Takeaways A hybrid cloud platform combines private and public cloud providers with on-premises infrastructure to create a flexible, secure, cost-effective IT environment that supports scalability, innovation, and rapid market response. The architecture usually integrates several private, public, and on-premises infrastructures.

Strategy 130

Strategy Cloud Artificial Intelligence Infrastructure 130

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. Many organizations respond by adding a proliferation of infrastructure monitoring tools, which in many cases, just adds to the noise. Dynatrace news.

Infrastructure 176

Infrastructure Monitoring Artificial Intelligence Open Source 176

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. It utilizes methodologies like DStore, which takes advantage of underused hard drive space by using it for storing vast amounts of collected datasets while enabling efficient recovery processes.

Storage 130

Storage Systems Big Data Azure 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 184

Analytics Artificial Intelligence Big Data Open Source 184

Scalegrid

JANUARY 8, 2024

Both multi-cloud and hybrid cloud models come with their advantages, like increased flexibility and secure, scalable IT infrastructure but face challenges such as management complexity and integration issues. They offer scalability without compromising cost-efficiency or flexibility, making them advantageous like multi-cloud models.

Strategy 147

Strategy Cloud Scalability Artificial Intelligence 147

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Utilizing cloud platforms is especially useful in areas like machine learning and artificial intelligence research.

Cloud 130

Cloud Virtualization Storage Efficiency 130

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. Log analytics also help identify ways to make infrastructure environments more predictable, efficient, and resilient. Together, they provide continuous value to the business.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Several pain points have made it difficult for organizations to manage their data efficiently and create actual value.

Analytics 231

Analytics Artificial Intelligence Storage Serverless 231

Dynatrace

NOVEMBER 24, 2020

Well-Architected Reviews are conducted by AWS customers and AWS Partner Network (APN) Partners to evaluate architectures to understand how well applications align with the multiple Well-Architected Framework design principles and best practices. AWS 5-pillars. Fully conceptualizing capacity requirements.

AWS 143

AWS Artificial Intelligence Best Practices Lambda 143

Scalegrid

DECEMBER 21, 2023

This includes latency, which is a major determinant in evaluating the reliability and performance of your Redis® instance, CPU usage to assess how much time it spends on tasks, operations such as reading/writing data from disk or network I/O, and memory utilization (also known as memory metrics).

Strategy 130

Strategy Monitoring Latency DevOps 130

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. Artificial intelligence (AI), while similar to machine learning, refers to the broader idea where machines can execute tasks smartly. Machine Learning.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

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 189

Artificial Intelligence Open Source Analytics Monitoring 189

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. What sets Dynatrace apart?

Artificial Intelligence 181

Artificial Intelligence Social Media Monitoring IoT 181

All Things Distributed

DECEMBER 13, 2016

In November 2015, Amazon Web Services announced that it would launch a new AWS infrastructure region in the United Kingdom. Today, I'm happy to announce that the AWS Europe (London) Region, our 16th technology infrastructure region globally, is now generally available for use by customers worldwide.

AWS 166

AWS Cloud Artificial Intelligence IoT 166

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

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. of users) report that “infrastructure issues” are an issue. We’ll say more about this later.) of nonusers, 5.4%

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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 ). . Source: FileFlex. Cost-Saver.

DevOps 59

DevOps Cloud Artificial Intelligence Infrastructure 59

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. Improved infrastructure utilization. What does APM stand for?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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). Orchestrate the processing flow across an end-to-end infrastructure. Last but not least, the ability to auto-generate optimal neural networks (e.g.

Wireless 54

Wireless IoT Analytics Architecture 54

O'Reilly

SEPTEMBER 19, 2023

Plus there was all of the infrastructure to push data into the cluster in the first place. And that brings our story to the present day: Stage 3: Neural networks High-end video games required high-end video cards. A basic, production-ready cluster priced out to the low-six-figures.

Hardware 99

Hardware Storage Big Data Blockchain 99

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. Autonomous Test Automation. DevTestOps.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Testsigma

JANUARY 7, 2022

Maintaining the same efficiency as the in-office setup is not possible if you are indulged in a complicated connection of multiple tool – you would need a good tool that not only supports but facilitates the work no matter what location you are working from. Cloud-based infrastructure. Management capabilities. 24×7 Support.

Testing 52

Testing Social Media Artificial Intelligence Cloud 52