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 204

Artificial Intelligence Healthcare Retail Government 204

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 192

Cloud Strategy Retail Energy 192

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

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

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 184

Best Practices Open Source Tuning Infrastructure 184

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 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

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. Not just logs, metrics and traces.

AWS 225

AWS Lambda Artificial Intelligence Serverless 225

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

Dynatrace

MARCH 16, 2021

Despite these investments, these organizations have complete visibility into just 11% of the applications and infrastructure in their environments. The traditional machine learning approach relies on statistics to compile metrics and events and produce a set of correlated alerts. What type of AI is the best approach for AIOps?

Artificial Intelligence 189

Artificial Intelligence Open Source Cloud Analytics 189

Dynatrace

JUNE 1, 2021

Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data. Automatic discovery and mapping of application and its infrastructure components to maintain real-time awareness in dynamic environments. Improved infrastructure utilization.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

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. This includes providing the efficient, resilient services AWS customers expect, while minimizing their environmental footprint.

AWS 52

AWS Energy IoT Best Practices 52

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

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

O'Reilly

APRIL 30, 2024

These algorithms save everyone time and money: by helping users navigate through thousands of products to find the ones with the highest quality and the lowest price, and by expanding the market reach of suppliers through Amazon’s delivery infrastructure and immense customer network. Disclosure is another powerful market-shaping tool.

Social Media 88

Social Media Artificial Intelligence Innovation Logistics 88

Alex Podelko

SEPTEMBER 8, 2020

In this time, I learned a lot, but the price for this was to have to deal with random infrastructure issues and unhelpful support from HP. 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.

Open Source 223

Open Source Performance Testing Testing Performance 223

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

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 111

Availability Database Open Source Hardware 111

CSS Wizardry

APRIL 22, 2020

They were either running their own infrastructure and installing and deploying Brotli everywhere proved non-trivial, or they were using a CDN who didn’t have readily available support for the new algorithm. I started off this whole train of thought because I wanted to see, realistically, what impact Brotli might have for real websites.

Latency 269

Latency Servers Website Speed 269

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. Better tooling and metrics standardization. And that in order to achieve this strategy implementing a culture of performance throughout the organization is a must.

Website 126

Website Performance Google Media 126

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

Smashing Magazine

JULY 29, 2019

But there are parts of the world where mobile data is prohibitively expensive, and where there is little or no broadband infrastructure. These countries generally have a combination of poor technical infrastructure and low adoption, meaning data is both costly to deliver and doesn’t have the economy of scale to drive costs down.

Cache 96

Cache Google Mobile Network 96

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

The Netflix TechBlog

DECEMBER 11, 2020

Our Journey so Far Over the past year, we’ve implemented the core infrastructure pieces necessary for a federated GraphQL architecture as described in our previous post: Studio Edge Architecture The first Domain Graph Service (DGS) on the platform was the former GraphQL monolith that we discussed in our first post (Studio API).

Architecture 249

Architecture Best Practices Engineering Open Source 249

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

OCTOBER 16, 2019

Without infrastructure-level support, every team ends up building their own point solution to varying degrees of success. 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.

Cache 187

Cache Architecture Metrics Java 187

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. Jeff has been leading his organization’s software delivery transformation with the help of Flow Metrics. I was like, “Wow!

DevOps 8

DevOps Education Innovation Metrics 8

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