Dynatrace

JULY 6, 2022

And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. AI that is based on machine learning needs to be trained.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Scalegrid

JANUARY 11, 2024

This article strips away the complexities, walking you through best practices, top tools, and strategies you’ll need for a well-defended cloud infrastructure. Cloud security monitoring is key—identifying threats in real-time and mitigating risks before they escalate.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

AUGUST 7, 2023

Pairing generative AI with causal AI One key strategy is to pair generative AI with causal AI , providing organizations with better-quality data and answers as they make key decisions. Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts.

DevOps 182

DevOps Analytics Best Practices Java 182

Percona

DECEMBER 27, 2023

According to a 2023 Forrester survey commissioned by Hashicorp , 61% of respondents had implemented, were expanding, or were upgrading their multi-cloud strategy. Nearly every vendor at Kubecon and every person we spoke to had some form of a multi-cloud requirement or strategy. We expect that number to rise higher in 2024.

Cloud 84

Cloud Open Source Strategy Best Practices 84

Dynatrace

NOVEMBER 22, 2021

Serverless architecture enables organizations to deliver applications more efficiently without the overhead of on-premises infrastructure, which has revolutionized software development. Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. DevOps/DevSecOps with AWS.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

O'Reilly

APRIL 4, 2024

It is a dark pattern, a map to suboptimal outcomes rather than the true path to competition, innovation and the creation of robust companies and markets. In a well-functioning market, many startups would have explored a technology innovation like on-demand transportation over a much longer period.

Artificial Intelligence 61

Artificial Intelligence Open Source Innovation Transportation 61

Dynatrace

OCTOBER 14, 2022

Machine learning algorithms use vast amounts of data to train systems and allow them to draw accurate conclusions based on available information. Supervised learning uses already-labeled data to train algorithms for specific outputs. There are two broad types of machine learning: supervised and unsupervised. Enhanced visibility.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

O'Reilly

APRIL 30, 2024

Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. We’ll see more innovation if emerging AI tools are accessible to everyone, such that a dispersed ecosystem of new firms, start-ups, and AI tools can arise. But not all rents are bad.

Social Media 88

Social Media Artificial Intelligence Innovation Logistics 88

O'Reilly Software

OCTOBER 23, 2018

A look at the roles of architect and strategist, and how they help develop successful technology strategies for business. I'm offering an overview of my perspective on the field, which I hope is a unique and interesting take on it, in order to provide context for the work at hand: devising a winning technology strategy for your business.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

JANUARY 17, 2024

As organizations turn to artificial intelligence for operational efficiency and product innovation in multicloud environments, they have to balance the benefits with skyrocketing costs associated with AI. An AI observability strategy—which monitors IT system performance and costs—may help organizations achieve that balance.

Strategy 219

Strategy Artificial Intelligence Storage Cloud 219

Adrian Cockcroft

NOVEMBER 26, 2023

SUS101: Sustainability innovation in AWS Global Infrastructure AWS is determined to make the cloud the cleanest and most energy-efficient way to run customers’ infrastructure and business. Programs like Open Data on AWS provide free, publicly available datasets, accelerating sustainability innovation. AWS speaker: T.

AWS 52

AWS Energy IoT Best Practices 52

Dynatrace

MAY 8, 2023

Digital transformation strategies are fundamentally changing how organizations operate and deliver value to customers. A comprehensive digital transformation strategy can help organizations better understand the market, reach customers more effectively, and respond to changing demand more quickly. Competitive advantage.

Strategy 172

Strategy Retail DevOps Education 172

Dynatrace

SEPTEMBER 21, 2023

The growing adoption of innovations like generative AI, based on large-language models (LLMs), will only increase demand for cloud computing. Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London.

Energy 230

Energy Cloud Airlines Strategy 230

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. Training models and developing complex applications on top of those models is becoming easier. of nonusers, 5.4%

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible!

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

JANUARY 31, 2024

In the age of AI, data observability has become foundational and complementary to AI observability, data quality being essential for training and testing AI models. Data is the foundation upon which strategies are built, directions are chosen, and innovations are pursued.

DevOps 192

DevOps Analytics Airlines Metrics 192

Percona

OCTOBER 18, 2023

Free of vendor lock-in Vendor lock-in refers to the loss of freedom to scale, innovate, or switch to alternatives due to dependencies on a specific database vendor. Strategy: Choosing your path Having a strategy for your migration will make the move to open source go that much smoother.

Open Source 97

Open Source Database Hardware Strategy 97

Dynatrace

MARCH 16, 2021

Despite these investments, these organizations have complete visibility into just 11% of the applications and infrastructure in their environments. It takes times to train statistics-based machine learning solutions, and this approach doesn’t scale easily with modern, dynamic cloud-native environments.

Artificial Intelligence 189

Artificial Intelligence Open Source Cloud Analytics 189

Smashing Magazine

NOVEMBER 22, 2021

Implementing this change enabled us to take major steps such as updating our infrastructure along with completely rewriting our core functionality from the ground up. And that in order to achieve this strategy implementing a culture of performance throughout the organization is a must. Upgrading Our Services And Infrastructure.

Website 126

Website Performance Google Media 126

O'Reilly

FEBRUARY 20, 2024

Several copywriters have reported being replaced by ChatGPT; one of them eventually had to “accept a position training AI to do her old job.” Providing appropriate training to get employees through that change may be a company’s biggest responsibility. Developing good prompts is serious work and it requires training.

Education 72

Education Healthcare Media Systems 72

The Netflix TechBlog

DECEMBER 2, 2019

Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? The Bootstrapping Methods Suppose you are watching The Crown on a train and Claire Foy’s face appears pixelated.

Metrics 143

Metrics Strategy Efficiency Testing 143

The Netflix TechBlog

DECEMBER 2, 2019

Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? The Bootstrapping Methods Suppose you are watching The Crown on a train and Claire Foy’s face appears pixelated.

Metrics 140

Metrics Strategy Efficiency Testing 140

Dynatrace

JUNE 1, 2021

Application performance monitoring focuses on specific metrics and measurements; application performance management is the wider discipline of developing and managing an application performance strategy. Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

The Netflix TechBlog

DECEMBER 2, 2019

Julie (Novak) Beckley, Andy Rhines, Jeffrey Wong, Matthew Wardrop, Toby Mao, Martin Tingley Ever wonder why Netflix works so well when you’re streaming at home, on the train, or in a foreign hotel? The Bootstrapping Methods Suppose you are watching The Crown on a train and Claire Foy’s face appears pixelated.

Metrics 130

Metrics Strategy Efficiency Testing 130

Tasktop

OCTOBER 30, 2019

Chris laid out his vision, which would change everything – the way we support customers, go-to-market, our DNA, infrastructure, software delivery,” recalled Aho. “I He had a strategy. Auditors – a powerful asset to help you innovate . I was like, “Wow! What’s next? Have you got a 12-month plan for this?”

DevOps 8

DevOps Education Innovation Metrics 8

Percona

JUNE 22, 2023

As such, fault tolerance is more expensive to implement because it requires dedicated infrastructure that completely mirrors the primary system. Components of high availability infrastructure Multiple copies of data Data redundancy helps prevent data loss due to hardware or software failures.

Availability 112

Availability Database Open Source Hardware 112

The Agile Manager

JUNE 23, 2007

Thus leadership and its derivative characteristics - notably innovation and responsiveness - are the result of calculated, not wanton, risk taking. Software development capacity, IT infrastructure, and software as a service are all examples of risk assumption. They are useful services to be sure, but of low business value.

Technology 40

Technology Technology Energy Innovation 40

High Scalability

NOVEMBER 25, 2019

Infrastructure Optimization. I mean that as your scale grows then design patterns and strategies that used to work 2 years ago and allowed you to go from defensive to offensive positioning may buckle under pressure or becomes cost-prohibitive. Once it's resolved our pipeline takes over and the ticket catches the next release train.

Architecture 52

Architecture Cache Azure Storage 52