Dynatrace

OCTOBER 12, 2023

It helps create patterns, provides instant feedback, and allows you to save and reuse DPL patterns, for faster access to data analytics use cases. Figure 2: Choose from a list of available patterns Developing a new pattern using DPL Architect DPL Architect helps you by creating your own patterns and provides instant feedback.

Speed 204

Speed AWS C++ Availability 204

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. Log monitoring is a process by which developers and administrators continuously observe logs as they’re being recorded. What is log analytics?

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

JUNE 28, 2022

Although most organizations invest in innovative mobile app development, not many allocate enough resources toward delivering and measuring the high-quality user experiences customers expect. Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process.

Mobile 208

Mobile Analytics Best Practices Software Engineering 208

DZone

MARCH 12, 2021

Thunderhead is the recognized global leader in the Customer Journey Orchestration and Analytics market. To continue to improve user experience with their highly-visual web application, Thunderhead develops continuously. The ONE Engagement Hub helps global brands build customer engagement in the era of digital transformation.

Speed 243

Speed Analytics Artificial Intelligence Development 243

Dynatrace

FEBRUARY 14, 2022

Mobile app monitoring and mobile analytics make this possible. By providing insight into how apps are operating and why they crash, mobile analytics lets you know what’s happening with your apps and what steps you can take to solve potential problems. What is mobile analytics? Why use mobile analytics and app monitoring?

Mobile 176

Mobile Analytics Monitoring Best Practices 176

Dynatrace

FEBRUARY 12, 2024

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation. Real-time detection for fast remediation.

Engineering 179

Engineering Development Infrastructure Cloud 179

Dynatrace

FEBRUARY 9, 2021

New technologies like Xamarin or React Native are accelerating the speed at which organizations release new features and unlock market reach. How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 203

Analytics Mobile Performance Monitoring 203

Smashing Magazine

OCTOBER 31, 2023

Answering Common Questions About Interpreting Page Speed Reports Answering Common Questions About Interpreting Page Speed Reports Geoff Graham 2023-10-31T16:00:00+00:00 2023-10-31T17:06:18+00:00 This article is sponsored by DebugBear Running a performance check on your site isn’t too terribly difficult.

Speed 97

Speed Google Website Metrics 97

Dynatrace

APRIL 8, 2024

Deploy risk-based estimates and models with confidence, accuracy, transparency, and speed. This enables banks to manage risk with the speed and precision mandated by their markets. Collect data automatically and pre-processed from a range of sources: application programming interfaces, integrations, agents, and OpenTelemetry.

Analytics 197

Analytics Infrastructure Efficiency Technology 197

Dynatrace

FEBRUARY 10, 2023

In what follows, we explore some key cloud observability trends in 2023, such as workflow automation and exploratory analytics. From data lakehouse to an analytics platform Traditionally, to gain true business insight, organizations had to make tradeoffs between accessing quality, real-time data and factors such as data storage costs.

Efficiency 272

Efficiency Performance Analytics DevOps 272

Dynatrace

JUNE 26, 2023

In what follows, we define software automation as well as software analytics and outline their importance. What is software analytics? This involves big data analytics and applying advanced AI and machine learning techniques, such as causal AI. We also discuss the role of AI for IT operations (AIOps) and more.

Software 184

Software Software Analytics Big Data 184

MachMetrics

APRIL 24, 2019

All of the popular speed testing tools typically provide a page speed score along with their objective results. Google PageSpeed Insights has a their “Speed Score.” While these do have a purpose, most people use them incorrectly, in a way that can be dangerous to your real site speed. seconds to.27 27 seconds!

Speed 111

Speed Best Practices Google Website 111

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. Organizations that miss out on implementing AI risk falling behind their competition in an age where software delivery speed, agility, and security are crucial success factors.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

Dynatrace

OCTOBER 4, 2022

Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues.

Analytics 217

Analytics Storage Infrastructure Metrics 217

Dynatrace

MARCH 6, 2024

IBM i, formerly known as iSeries, is an operating system developed by IBM for its line of IBM i Power Systems servers. It also includes various built-in software components for database management, security, and application development. What is IBM i? Gaining knowledge about IBM i performance can be a challenging and pricey task.

Monitoring 231

Monitoring Infrastructure Metrics Analytics 231

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. We know that meaningful results are achieved when customer experience is optimized by our partners, and this year, Dynatrace has developed new avenues to help promote this.

Programming 177

Programming Analytics Innovation Best Practices 177

Dynatrace

DECEMBER 12, 2023

For example, nearly two-thirds (61%) of technology leaders say they will increase investment in AI over the next 12 months to speed software development. According to “The state of AI” report, nearly three-quarters of IT operations, development, and security teams plan to use AI to become more proactive in executing their work.

Artificial Intelligence 203

Artificial Intelligence DevOps Analytics Strategy 203

ScaleOut Software

AUGUST 5, 2020

And how are they different from streaming pipelines like Azure Stream Analytics and Apache Flink/Beam? What Problems Does Streaming Analytics Solve? To understand why we need real-time digital twins for streaming analytics, we first need to look at what problems are tackled by popular streaming platforms.

Analytics 69

Analytics Azure Processing Speed 69

Dynatrace

OCTOBER 19, 2023

By incorporating automated vulnerability scans within the software development lifecycle (SDLC), developers can expedite the release of innovative software features. This eliminates the additional burden of manual vulnerability scans, enabling teams to identify and address vulnerabilities during the development phase.

Best Practices 205

Best Practices Benchmarking Speed Infrastructure 205

Dynatrace

NOVEMBER 7, 2023

The development of internal platform teams has taken off in the last three years, primarily in response to the challenges inherent in scaling modern, containerized IT infrastructures. The old saying in the software development community, “You build it, you run it,” no longer works as a scalable approach in the modern cloud-native world.

Engineering 270

Engineering DevOps Best Practices Infrastructure 270

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Platform engineering improves developer productivity by providing self-service capabilities with automated infrastructure operations. AI-enabled chatbots can help service teams triage customer issues more efficiently.

Performance 182

Performance DevOps Innovation Artificial Intelligence 182

Dynatrace

OCTOBER 6, 2023

This improves query speeds and reduces related costs for all other teams and apps. In that case, the use of separate buckets makes it easier to distinguish different stages, keeping production data separate from development or staging data. Keeping these logs separate decreases the data volume for other troubleshooting logs.

Artificial Intelligence 258

Artificial Intelligence Analytics Metrics Storage 258

Scalegrid

MAY 13, 2020

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

FEBRUARY 15, 2023

Today, IT and development teams have myriad responsibilities in managing and working with cloud environments. They need to create new products and maintain existing ones to deliver customer value at speed and scale while managing risk. organizations have over 100 custom applications in development and testing today.

Analytics 130

Analytics Storage Cloud Code 130

Dynatrace

MARCH 29, 2024

As a result, organizations are turning to AI to automate tasks—from code development to incident response—to reduce manual effort and human error, and to boost workforce efficiency. Organizations are turning to AI to automate manual tasks and see immediate benefits in IT operations, cybersecurity, and application development or DevOps.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

Dynatrace

AUGUST 28, 2023

While digital experience has many facets, transaction speed usually ranks among the most important. From first to lasting impressions But there’s more to digital experience than speed. Business data must be easy to access without modifying code to reduce the burden on development and maintenance resources.

Retail 198

Retail Logistics Innovation Analytics 198

All Things Distributed

MARCH 11, 2015

Many of these innovations will have a significant analytics component or may even be completely driven by it. For example many of the Internet of Things innovations that we have seen come to life in the past years on AWS all have a significant analytics components to it. Cloud analytics are everywhere.

Analytics 135

Analytics Cloud Healthcare Retail 135

Dynatrace

NOVEMBER 20, 2023

How this data-driven technique gives foresight to IT teams – blog By analyzing patterns and trends, predictive analytics enables teams to take proactive actions to prevent problems or capitalize on opportunities. What is predictive AI? What is AIOps?

AWS 206

AWS Artificial Intelligence Analytics Cloud 206

CSS Wizardry

DECEMBER 9, 2023

A trivial performance optimisation to help speed up third-party or other-origin requests is to preconnect them: hint that the browser should preemptively open a full connection ( DNS , TCP , TLS ) to the origin in question, for example: In the right circumstances, this simple, single line of HTML can make pages hundreds of milliseconds faster !

Speed 234

Speed Network Analytics Availability 234

Dynatrace

SEPTEMBER 23, 2022

Log management and analytics have become a particular challenge. And 93% of CIOs say AIOps and automation are increasingly vital to alleviating the shortage of skilled IT, development, and security professional. Enlisting a data lakehouse, IT automation can manage the next wave of cloud complexity.

Cloud 174

Cloud Artificial Intelligence Innovation Analytics 174

Dynatrace

FEBRUARY 13, 2020

We’re able to help drive speed, take multiple data sources, bring them into a common model and drive those answers at scale.”. As the number of apps and services deployed increases, teams face increased pressure to speed up native mobile app innovation and resolve app issues quicker. Next-gen Infrastructure Monitoring.

Performance 232

Performance Analytics Mobile Innovation 232

Dynatrace

NOVEMBER 5, 2023

Many organizations that were paralyzed by evaluating technology investments in the past are now speeding toward innovation and swift execution using cloud-native technologies and Microsoft Azure to meet strategic business goals. Continue reading to learn why this is important and what it means for Azure customers.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

AUGUST 7, 2023

Developers use generative AI to find errors in code and automatically document their code. How will organizations and cybersecurity teams keep up with the “relentless pace of AI development,” as the keynote asks? They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems.

DevOps 182

DevOps Analytics Best Practices Java 182

Dynatrace

APRIL 11, 2023

The focus on bringing various organizational teams together—such as development, business, and security teams — makes sense as observability data, security data, and business event data coalesce in these cloud-native environments. As organizations develop new applications, vulnerabilities will continue to emerge.

Cloud 183

Cloud DevOps Open Source Retail 183

The Netflix TechBlog

JULY 15, 2021

In this post, Kevin talks about his extensive experience in content analytics at Netflix since joining more than 10 years ago. I started my career as an application developer with basic familiarity with SQL. It seemed fortuitous that the area of analytics that I’d be working in would align so well with my hobbies and interests!

Data Engineering 189

Data Engineering Engineering Entertainment Big Data 189

Dynatrace

DECEMBER 13, 2023

Why observability matters for mobile app performance monitoring Observability data is becoming increasingly important to mobile app performance monitoring because it provides mobile developers with deeper insight into their applications. By analyzing this data, mobile developers can identify issues, optimize performance, and plan ahead.

Best Practices 194

Best Practices Mobile Metrics Performance 194

Dynatrace

FEBRUARY 23, 2022

As businesses take steps to innovate faster, software development quality—and application security—have moved front and center. That can be difficult when the business climate can prioritize speed. Indeed, according to one survey, DevOps practices have led to 60% of developers releasing code twice as quickly. and 2.14.1.

Serverless 261

Serverless Infrastructure Innovation DevOps 261