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

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. These include alert fatigue, lack of context, and absence of strategy. Get ready for actionable insights that balance technical depth with practical advice.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

Dynatrace

NOVEMBER 22, 2021

Gartner data also indicates that at least 81% of organizations have adopted a multicloud strategy. Not just logs, metrics and traces. Unlike traditional machine-learning models that require extensive, time-consuming training, Dynatrace’s causal AI pinpoints normal and anomalous behavior in context in real time.

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. Do changes in performance correlate to changes in business metrics? Who: Engineers.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Dynatrace

APRIL 26, 2023

One effective capacity-management strategy is to switch from a reactive approach to an anticipative approach: all necessary capacity resources are measured, and those measurements are used to train a prediction model that forecasts future demand. You can use any DQL query that yields a time series to train a prediction model.

Games 209

Games Analytics Strategy Cloud 209

Testsigma

APRIL 17, 2020

Typically, The test execution reports should include the objective of testing, testing scope, test results metrics, types of testing performed, test environment & tools, and conclusion. Training of Developers and Testers. With powerful reporting and analytics tools, Testsigma helps organize and share data easily and effectively.

Software 55

Software Software Testing DevOps 55

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

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. The deviating metric is response time. It works without having to identify training data, then training and honing.

DevOps 192

DevOps Artificial Intelligence Healthcare Innovation 192

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).

Energy 230

Energy Cloud Airlines Strategy 230

Dynatrace

MARCH 16, 2021

Artificial intelligence operations (AIOps) is an approach to software operations that combines AI-based algorithms with data analytics to automate key tasks and suggest solutions for common IT issues, such as unexpected downtime or unauthorized data access. Here’s how. What is AIOps and what are the challenges?

Artificial Intelligence 189

Artificial Intelligence Open Source Cloud Analytics 189

Dynatrace

NOVEMBER 15, 2021

Working on a customer win-back strategy is cost-intensive and not always fruitful, which makes having an excellent DX more crucial than ever. Because of everything that can go wrong, it’s imperative for organizations to constantly track metrics that indicate user satisfaction and have a robust complaint resolution model in place.

Mobile 213

Mobile Social Media Monitoring Metrics 213

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. Core Web Vital metrics definitions.

Performance 74

Performance Cache Traffic Metrics 74

Smashing Magazine

NOVEMBER 22, 2021

This includes building websites, hosting websites, managing campaigns, SEO, analytics, CRM, and much more. Better tooling and metrics standardization. And that in order to achieve this strategy implementing a culture of performance throughout the organization is a must. In other words, the field lacked standardization.

Website 126

Website Performance Google Media 126

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Because the scope of these solutions is limited by their nature, they also tend to create silos in which teams can disagree on service-level objectives (SLOs) and metrics.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

Alex Russell

MAY 9, 2022

Teams I've consulted are too often wrenched between celebration over "the big rewrite" launch and the morning-after realisation that the new stack is tanking business metrics. through one of the dozens of analytics tools they've inevitably integrated over the years), but nobody looks at it. Photo by von Vix. Photo by Jay Heike.

Performance 86

Performance Latency Metrics Engineering 86

The Netflix TechBlog

NOVEMBER 20, 2023

Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational. Apache Iceberg Iceberg is a high-performance format for huge analytic tables.

Processing 210

Processing Big Data Efficiency Engineering 210

O'Reilly

OCTOBER 11, 2022

Over the past decade, one problem with data science and its successors has been the assumption that all you need is data, and lots of it; analyzing that data will lead you to new products, new processes, new strategies: just follow the data and let it transform your business. Was it trained using biased, unfair data?

Games 116

Games Healthcare Processing Retail 116

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.

Retail 152

Retail C++ Analytics Metrics 152

Tasktop

JUNE 20, 2019

Creates a modular, Agile toolchain: Software innovators require a best-of-breed tool strategy. After attending training, you will have the knowledge to become a VSM ambassador at your organization or agency. Learn more. The post How enterprises can successfully scale Agile development appeared first on Tasktop Blog.

Development 45

Development DevOps Google Innovation 45

Smashing Magazine

JULY 29, 2019

This metric is a little difficult to comprehend, so here’s an example: if the average cost of broadband packages in a country is $22, and the average download speed offered by the packages is 10 Mbps, then the cost ‘per megabit per month’ would be $2.20. For reference, the metric is $1.19 Google analytics has ‘low’ priority.

Cache 96

Cache Google Mobile Network 96

High Scalability

NOVEMBER 25, 2019

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. What is your storage strategy?

Architecture 52

Architecture Cache Azure Storage 52