Dynatrace

DECEMBER 10, 2020

I recently joined two industry veterans and Dynatrace partners, Syed Husain of Orasi and Paul Bruce of Neotys as panelists to discuss how performance engineering and test strategies have evolved as it pertains to customer experience. The post Panel Recap: How is your performance and reliability strategy aligned with your customer experience?

Strategy 186

Strategy Performance Logistics Monitoring 186

Dynatrace

NOVEMBER 2, 2023

FinOps is a cloud financial management philosophy and practice that strives to control the cost of cloud adoption strategies without restricting the scope of cloud resources. Create optimization strategies with realistic goals for each team. The result is smarter, data-driven solutions designed to manage cloud spend. What is FinOps?

Cloud 205

Cloud Strategy Retail Energy 205

Dynatrace

JULY 25, 2023

Dynatrace applies these techniques to the broadest set of modalities in the market, including the data types of metrics, traces, logs, behavior, topology, dependencies, events, and more, with unmatched precision for precise predictions, accurate determinations, and meaningful insights.

Best Practices 239

Best Practices Analytics Metrics Code 239

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 205

DevOps Artificial Intelligence Healthcare Innovation 205

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 200

DevOps Analytics Airlines Metrics 200

Dynatrace

APRIL 28, 2021

Organizations that have transitioned to agile software development strategies (including the adoption of a DevOps culture and continuous delivery automation) enforce automated solutions for such decision making—or at the very least, use automation in the gathering of a release-quality metrics. How Release Analysis works.

Software 242

Software Software Strategy Metrics 242

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 22, 2024

Marketers can use these insights to better understand which messages resonate with customers and tailor their marketing strategies accordingly. The logs, metrics, traces, and other metadata that applications and infrastructure generate have historically been captured in separate data stores, creating poorly integrated data silos.

Artificial Intelligence 216

Artificial Intelligence Healthcare Retail Government 216

Dynatrace

MAY 6, 2021

For predictive AIOps, Dynatrace detects anomalies using high-dimensional data derived from metrics in context. “If If you look at a metric like utilization, you can analyze that data along three different aspects, also known as dimensions,” Natschläger explained. But of course, there are metrics for which this assumption does not hold.

Games 180

Games Metrics Monitoring Cloud 180

Testsigma

SEPTEMBER 2, 2021

For example, a fantastic cloud-based automation testing tool is Testsigma that hosts real devices that give accurate results and performance metrics of your web application. While calculating the ROI here, we are not taking into account the training costs for the automated web testing languages and frameworks. Are your testers trained?

Strategy 71

Strategy Testing Cloud Virtualization 71

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.

Artificial Intelligence 183

Artificial Intelligence DevOps Analytics Cloud 183

Strategic Tech

JANUARY 22, 2024

external consultants or training) Preference for waiting for the problems to arise (indicating the need for an AMET) or forming an AMET early to prevent issues arising Confidence level that modernization will actually happen (sometimes it is just too unclear and lacking priority) How quickly do you want/need to modernize?

Architecture 98

Architecture Metrics Logistics Strategy 98

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

JULY 6, 2022

Organizations that have achieved SRE maturity have a better handle on the state of their infrastructure, the ability to tie reliability metrics more tightly to business objectives, and the means to ensure a consistent and responsive customer experience. Dynatrace’s 2022 State of SRE Report surveyed 450 SREs across the globe.

Best Practices 196

Best Practices Open Source Tuning Infrastructure 196

Dynatrace

MARCH 16, 2021

The traditional machine learning approach relies on statistics to compile metrics and events and produce a set of correlated alerts. 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 200

Artificial Intelligence Open Source Cloud Analytics 200

Tasktop

OCTOBER 12, 2020

A telecom giant changing its outsourcing strategy to negotiate better terms with its service partners. Now, with the revitalized Flow Partner Program , our partners can access the very latest solutions and training to enjoy the same success. . A leading U.S healthcare leader doubling its feature velocity. New motivator for integration.

Programming 98

Programming DevOps Healthcare Strategy 98

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? This is a hard problem because we must determine if and how the QoE metric distributions differ between experiences.

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? This is a hard problem because we must determine if and how the QoE metric distributions differ between experiences.

Metrics 140

Metrics Strategy Efficiency Testing 140

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? This is a hard problem because we must determine if and how the QoE metric distributions differ between experiences.

Metrics 130

Metrics Strategy Efficiency Testing 130

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 225

Mobile Social Media Monitoring Metrics 225

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 235

AWS Lambda Artificial Intelligence Serverless 235

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

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

The Netflix TechBlog

OCTOBER 16, 2019

Gutenberg allows browsing older versions of data for use cases such as debugging, rapid mitigation of data related incidents, and re-training of machine-learning models. for example to train machine-learned models. a common use case when debugging and when training ML models. there is no dependency on previous versions of data.

Cache 187

Cache Architecture Metrics Java 187

The Netflix TechBlog

DECEMBER 11, 2020

The biggest challenge was aligning on this strategy across the organization. We partnered with Netflix’s Developer Experience (DevEx) team to build out documentation, training materials, and tutorials for developers. We introspect these custom error codes from the response and emit them to our metrics server, Atlas.

Architecture 249

Architecture Best Practices Engineering Open Source 249

The Morning Paper

FEBRUARY 2, 2020

One premise of many models of fairness in machine learning is that you can measure (‘prove’) fairness of a machine learning model from within the system – i.e. from properties of the model itself and perhaps the data it is trained on. If so, does the TIB need to be all of the training data, or can it be a subset?

Metrics 109

Metrics Government Best Practices Design 109

The Morning Paper

SEPTEMBER 22, 2019

Take a system trained to make predictions on a language (word or character) model – an example you’re probably familiar with is Google Smart Compose. Take a system trained to make predictions on a language (word or character) model – an example you’re probably familiar with is Google Smart Compose.

Network 55

Network Testing Strategy Google 55

Adrian Cockcroft

NOVEMBER 26, 2023

Develop strategies for efficiently managing a surge in energy production by utilizing renewable energy resources to their fullest extent while ensuring grid stability and reducing the need for grid-supplied energy. AWS speakers: Wafae Bakkali, Isha Dua

AWS 52

AWS Energy IoT Best Practices 52

Alex Podelko

SEPTEMBER 8, 2020

I must confess I was feeling so high and mighty about using LoadRunner, the “best” tool in the market, that it took this 3 day training to have me realize that viable alternatives existed. After this I spent almost 4 years working at Neotys, demos, proofs of concept, training people, the usual turf of a pre-sales engineer.

Open Source 223

Open Source Performance Testing Testing Performance 223

Tasktop

JUNE 17, 2021

If so, you may want to follow Watts’s lead and simplify your Agile strategy by basing it on end-to-end value stream flow for a “constancy of purpose”. . They also emphasized the need for relevant metrics that identify inefficiencies in customer value streams. In simple terms, agility is about: Pivoting quickly in the face of change.

Metrics 52

Metrics Speed Innovation Technology 52

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

O'Reilly

APRIL 30, 2024

Disclosures can require technology companies to provide transparent information and explanations about their products and monetisation strategies. Disclosure is another powerful market-shaping tool.

Social Media 87

Social Media Artificial Intelligence Innovation Logistics 87

The Morning Paper

JULY 16, 2019

To investigate all this the authors take six recent unsupervised disentanglement methods, train them over seven different data sets, and evaluate them using six different disentanglement measures. The result is a corpus of more than 10,000 trained models. Disentanglement metrics mostly agree.

Logistics 43

Logistics Metrics Network Strategy 43

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. Competent managers will begin to look for more general "industry standard" baseline metrics to report against their data. Photo by Jay Heike.

Performance 86

Performance Latency Metrics Engineering 86

Edge Perspectives

AUGUST 5, 2019

But to really scale learning, we’re going to need to adopt a very different approach to strategy – the “zoom out, zoom in” approach. By learning, I don’t mean training programs or the sharing of existing knowledge. That’s why I’ve become a big proponent of an alternative approach to strategy. So, what’s the alternative?

Strategy 17

Strategy Scalability Efficiency Programming 17

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. Acknowledgements Thanks to our Product Manager Ashim Pokharel for driving the strategy and requirements.

Processing 210

Processing Big Data Efficiency Engineering 210

Smashing Magazine

NOVEMBER 22, 2021

Better tooling and metrics standardization. Moreover, the industry has primarily standardized on Google’s Core Web Vitals (CWV) performance metrics, and monitoring them is now integrated into services such as the Google Search Console. But which metrics should be measured in order to determine website performance?

Website 126

Website Performance Google Media 126