Dynatrace

SEPTEMBER 21, 2023

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. The app’s advanced algorithms and real-time data analytics translate utilization metrics into their CO2 equivalent (CO2e). Download report Already a Dynatrace customer?

Energy 230

Energy Cloud Airlines Strategy 230

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. 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.

DevOps 192

DevOps Analytics Airlines Metrics 192

Dynatrace

JULY 6, 2022

And what are the best strategies to reduce manual labor so your team can focus on more mission-critical issues? At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. So, what is IT automation?

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 172

Artificial Intelligence DevOps Analytics Cloud 172

Scalegrid

JANUARY 12, 2024

In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible! Ultimately improving efficiency while minimizing errors.

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. CloudOps includes processes such as incident management and event management. The four stages of data processing. Aggregate it for alerts.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

Dynatrace

JANUARY 22, 2024

Marketers can use these insights to better understand which messages resonate with customers and tailor their marketing strategies accordingly. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. Government.

Artificial Intelligence 204

Artificial Intelligence Healthcare Retail Government 204

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. Get ready for actionable insights that balance technical depth with practical advice. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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

MARCH 16, 2021

While some AIOps tools offer significant benefits over manual processes, not all of them can deliver the results organizations expect. AIOps solutions offer the potential to increase observability, automate processes, and enhance value at scale. The challenge? Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 189

Artificial Intelligence Open Source Cloud Analytics 189

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code. Dynatrace extends contextual analytics and AIOps for open observability.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

CSS Wizardry

OCTOBER 27, 2018

Simply knowing the different forms of performance testing that we have available to us, and where they sit in the product development process, makes it much easier for businesses to adopt a performance strategy and keep on top of things. How: RUM tooling, analytics, monitoring. Who: Engineers. When: During development.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Smashing Magazine

AUGUST 3, 2023

As an online booking platform, we connect travelers with transport providers worldwide, offering bus, ferry, train, and car transfers in over 30 countries. While paid marketing strategies like Google Ads play a part in our approach as well, enhancing our organic traffic remains a major priority. SEO is key to our success.

Performance 74

Performance Cache Traffic Metrics 74

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. User experience and business analytics. What does APM stand for?

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

The Morning Paper

SEPTEMBER 8, 2019

I’ve been excited about the potential for approximate query processing in analytic clusters for some time, and this paper describes its use at scale in production. These clusters are in high demand and approximate query processing both saves their users time and lightens the overall load on the cluster.

Big Data 57

Big Data Analytics Latency Azure 57

The Morning Paper

DECEMBER 13, 2020

Block processing then strives to further reduce the number of comparisons that will need to be made by eliminating redundant comparisons that occur in multiple blocks, and superfluous comparisons within blocks. The processing mode – traditional batch (with or without budget constraints), or incremental. Block processing.

Big Data 83

Big Data Open Source Processing Analytics 83

The Netflix TechBlog

NOVEMBER 20, 2023

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

Processing 210

Processing Big Data Efficiency Engineering 210

Testsigma

DECEMBER 20, 2019

Computer vision : Training computers to understand or interpret the visual world from images, videos and deep learning models. Natural language processing : Programming computers to analyze and process natural human language. AI has use cases in many key sectors like manufacturing, healthcare, etc. trillion in 2021.

Artificial Intelligence 54

Artificial Intelligence Testing Healthcare Innovation 54

Testsigma

APRIL 17, 2020

Sending reports, to concerned people, for each of these according to the timeline and goal of testing will make the testing process transparent for the team. Other team members can also pitch in their suggestions to improve the processes. Training of Developers and Testers. Developers and testers should learn from each other.

Software 55

Software Software Testing DevOps 55

All Things Distributed

MARCH 13, 2017

Job openings for machine learning scientists, data analytics experts, IT security experts or developers are already difficult to fill, and the demand for this knowledge will increase significantly in the next few years as customers show their demand for digital engagements. Take industrial companies. The freedom to create.

Social Media 84

Social Media Retail Automotive Innovation 84

Tasktop

JUNE 20, 2019

And why, in lieu of a single tool or process, organizations need to identify and eliminate long cycles and wait times within development itself, and beyond. Creates a modular, Agile toolchain: Software innovators require a best-of-breed tool strategy. But here’s the rub: Agile development teams do not work in isolation.

Development 45

Development DevOps Google Innovation 45

Alex Russell

MAY 9, 2022

Effective managers understand that products require processes to manage, yet front-end discourse assumes that switching frameworks will introduce a golden age. When sibling teams are brought in to integrate late in the process, attention to the cumulative experience may suffer. How did it get away from the team so quickly?

Performance 86

Performance Latency Metrics Engineering 86

Testsigma

JANUARY 22, 2020

Replacing manual testing processes with automation testing has helped in the rapid adoption of agile methodology across software development industries. Automated testing benefits large scale projects that undergo frequent changes by speeding up the testing process and making deliveries within stipulated timeline.

Testing Tools 61

Testing Tools Programming Testing DevOps 61

Highly Scalable

MARCH 10, 2015

most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. Problem 2 : Recommendations.

Retail 152

Retail C++ Analytics Metrics 152

O'Reilly

NOVEMBER 28, 2023

Users and Nonusers AI adoption is in the process of becoming widespread, but it’s still not universal. Until AI reaches 100%, it’s still in the process of adoption. Training models and developing complex applications on top of those models is becoming easier. report that the difficulty of training a model is a problem.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

O'Reilly

OCTOBER 11, 2022

There seems to be broad agreement that hyperautomation is the combination of Robotic Process Automation with AI. We’ll see it in the processing of the thousands of documents businesses handle every day. We can certainly apply the slogan to many, if not all, clerical tasks–and even to the automation process itself.

Games 116

Games Healthcare Processing Retail 116

Smashing Magazine

JULY 29, 2019

Notice the async keyword on the Google analytics script? Google analytics has ‘low’ priority. Many people work on the train like that, or live in an area where broadband infrastructure is poor but mobile signal is strong. But we do have the power to lessen its impact, improving the experience for everyone in the process. (yk,ra).

Cache 96

Cache Google Mobile Network 96

Smashing Magazine

NOVEMBER 22, 2021

Now, let’s take a deeper look into the actions and processes we put in place in order to achieve these significant results. This includes building websites, hosting websites, managing campaigns, SEO, analytics, CRM, and much more. In other words, we needed to find a way to automate the process of preventing performance degradations.

Website 126

Website Performance Google Media 126

O'Reilly

MAY 19, 2020

Live online training, videos, books, certification prep, and more, from O’Reilly and our partner publishers. In other words, comparatively few respondent organizations appear to be pursuing dedicated multi-cloud strategies. The poor showing for multi-cloud might be the difference between tactical/ad hoc and strategic usage.

Cloud 141

Cloud Serverless AWS Architecture 141

High Scalability

NOVEMBER 25, 2019

Your Laptop has a filesystem used by hundreds of processes. It is limited by the disk space; it can’t expand storage elastically; it chokes if you run few I/O intensive processes or try collaborating with 100 other users. On prem data processing. Locks used for strong consistency across processes. Document store.

Architecture 52

Architecture Cache Azure Storage 52