Dynatrace

AUGUST 7, 2023

This year’s big-bang moment has been the surge in generative AI, such as ChatGPT. Generative AI can boost organizational productivity. Developers use generative AI to find errors in code and automatically document their code. Will generative AI multiply existing attack surfaces?

DevOps 184

DevOps Analytics Best Practices Java 184

Dynatrace

NOVEMBER 5, 2023

AI transformation is a key theme at Microsoft Ignite 2023. Indeed, AI is revolutionizing our world, driving rapid innovation, and transforming how we engage with technology personally and professionally. For today’s organizations to thrive, understanding how to harness the power of AI is imperative.

Azure 130

Azure Artificial Intelligence Innovation Analytics 130

Dynatrace

FEBRUARY 10, 2023

Digital transformation shows no signs of slowing down. More than 70% of respondents to a recent McKinsey survey now consider IT automation to be a strategic component of their digital transformation strategies. As a result, the complexity of modern multicloud ecosystems continues to increase. We’ll post news here as it happens!

Efficiency 275

Efficiency Performance Analytics DevOps 275

Dynatrace

JULY 24, 2023

In this blog, we will dive into the transformative power of answer-driven automation. In this blog, we will dive into the transformative power of answer-driven automation. In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability.

DevOps 220

DevOps Traffic Efficiency Servers 220

Dynatrace

AUGUST 29, 2022

The Vendor Selection Matrix™ is a survey of over 1,500 global IT decision-makers at companies generating over € 250 million in revenue. Dynatrace helps enterprises overcome this obstacle with a single AI-powered observability platform to instantly deliver answers incorporating all telemetry data. .

Strategy 230

Strategy Open Source Metrics Cloud 230

Dynatrace

SEPTEMBER 8, 2023

In part 1 of this blog series , we explored the concept of business observability, its significance, and how real-time visibility aids in making informed decisions. Similar to the tutorial extension, we created an extension that performs queries against databases. There are three high-level steps to set up the database business-event stream.

Database 269

Database Artificial Intelligence Metrics Monitoring 269

O'Reilly

MARCH 26, 2024

Copyright was intended to incentivize cultural production: in the era of generative AI, copyright won’t be enough. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. TL;DR LLMs and other GenAI models can reproduce significant chunks of training data.

Artificial Intelligence 109

Artificial Intelligence Social Media Google Internet 109

Dynatrace

NOVEMBER 22, 2021

Digital transformation with AWS: Making it real with AIOps. These modern, cloud-native environments require an AI-driven approach to observability. Dynatrace is making the value of AI real. In the following AWS re:Invent guide, we explore the benefits of observability through applied AI on AWS and other cloud environments.

AWS 228

AWS Lambda Artificial Intelligence Serverless 228

Dynatrace

JANUARY 31, 2022

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. As digital transformation accelerates, organizations need to innovate faster.

Serverless 176

Serverless Architecture Open Source Innovation 176

Dynatrace

DECEMBER 5, 2023

This blog provides explains the SEC disclosure and what it means for application security, best practices, and how your organization can prepare for the new requirements. On July 26, 2023, the U.S. The mandate also requires that organizations disclose overall cybersecurity risk management, strategy, and governance.

Best Practices 251

Best Practices Government C++ Education 251

Dynatrace

APRIL 11, 2023

As digital transformation escalates, vulnerabilities are increasing as well, by more than 290% since 2016. Cloud application security remains challenging because organizations lack end-to-end visibility into cloud architecture. For many IT teams, application vulnerabilities remain a key challenge.

Cloud 186

Cloud DevOps Open Source Retail 186

Dynatrace

AUGUST 29, 2022

The Vendor Selection Matrix™ is a survey of over 1,500 global IT decision-makers at companies generating over € 250 million in revenue. Dynatrace helps enterprises overcome this obstacle with a single AI-powered observability platform to instantly deliver answers incorporating all telemetry data. .

Strategy 130

Strategy Open Source Metrics Cloud 130

Dynatrace

MARCH 10, 2021

This week Dynatrace achieved Amazon Web Services (AWS) Machine Learning Competency status in the new Applied Artificial Intelligence (Applied AI) category. The designation reflects AWS’ recognition that Dynatrace has demonstrated deep experience and proven customer success building AI-powered solutions on AWS.

AWS 144

AWS Cloud Artificial Intelligence Innovation 144

Dynatrace

APRIL 23, 2020

Dynatrace customers can now accelerate their business with our AI-powered answers by securely integrating apps and automating data flows at scale, without code. The next step: Leverage AI-powered insights in your other applications. Dynatrace news. What is Amazon AppFlow? cross-check and optimize your resources.

AWS 145

AWS Innovation Code Cloud 145

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. Why is it important, and what can it actually help organizations achieve? What is observability? What is the difference between monitoring and observability? In short, no.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

SEPTEMBER 22, 2021

As a result, they struggle to identify root causes or resolve application performance issues, and the business may suffer follow-on effects related to the user experience and revenue generation. Dynatrace news. What is APM and what are the challenges? What is APM ? Application performance management.

Innovation 204

Innovation Open Source Monitoring Infrastructure 204

Dynatrace

APRIL 28, 2020

Dynatrace is an AWS Partner Network (APN) Advanced Technology Partner that provides software intelligence for simplifying enterprise cloud complexity and accelerating digital transformation. This blog post was co-authored with Shashiraj Jeripotula, Sr. This blog post explains how to do this. Solution Overview.

AWS 134

AWS Monitoring Traffic Website 134

Scalegrid

MAY 13, 2020

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 17, 2020

Optimal customer experience and faster time to market are key to a successful digital transformation of any enterprise. Dynatrace news. Technical complexity has shifted from the actual code to the interdependencies between services. Environments are highly dynamic, with ephemeral elements like containers or FaaS.

Analytics 156

Analytics Technology Technology Cloud 156

Dynatrace

NOVEMBER 12, 2021

A new generation of automated solutions — designed to provide end-to-end observability of assets, applications, and performance across legacy and cloud systems — make that job easier, says Federal Chief Technology Officer Willie Hicks at Dynatrace. Willie Hicks : Oftentimes, they don’t know what they don’t know.

Cloud 172

Cloud Monitoring Network Azure 172

Dynatrace

DECEMBER 18, 2023

Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012. Named after the Greek god who brought fire down from Mount Olympus, Prometheus metrics have been transforming observability since the project’s inception in 2012.

Metrics 177

Metrics Engineering Energy Tuning 177

Dynatrace

MAY 23, 2019

Traditional monitoring tools (we call them 2nd Generation) quickly hit a wall when up against the scale, dynamic nature and new technologies that power cloud environments. And that’s exactly where Dynatrace excels with automation and AI at the core of the Dynatrace platform. appeared first on Dynatrace blog.

Innovation 158

Innovation Cloud Monitoring Technology 158

Dynatrace

SEPTEMBER 12, 2019

I’m going to revisit the Dynatrace digital transformation in this blog, because it is also an excellent story that began our journey to Autonomous Cloud Management (ACM). The transformation leap. Dynatrace news. Went from zero to over 5,000 daily deployments. Today zero Ops resources and 7 R&D resources. .

Games 160

Games Cloud Best Practices Innovation 160

Dynatrace

APRIL 1, 2021

Behind the scenes working to meet this demand are DevOps teams, spinning up multicloud IT environments to accelerate digital transformation so their organizations can sustain growth at this new pace. Dynatrace news. Consumer demand for digital services has soared in the past year, steeply accelerating a trend that was already well underway.

Azure 171

Azure AWS DevOps Cloud 171

Dynatrace

NOVEMBER 5, 2019

Hopefully, this blog will explain ‘why,’ and how Microsoft’s Azure Monitor is complementary to that of Dynatrace. Dynatrace news. With the increase in the adoption of cloud technologies, there’s now a huge demand for monitoring cloud-native applications, including monitoring both the cloud platform and the applications themselves.

Azure 137

Azure Artificial Intelligence Metrics Innovation 137

Dynatrace

JUNE 16, 2020

IBM Z systems power billions of transactions each day and are used by most Fortune 500 companies. Over the years however, classic mainframe environments have been transformed, with their services frequently linked to distributed systems or an enterprise cloud. zIIP eligible time processed on general CPU. Dynatrace news.

Innovation 152

Innovation Metrics Infrastructure Programming 152

Dynatrace

APRIL 21, 2022

These complexities lead organizations to fundamentally transform the way they approach their observability capabilities in a dynamic multicloud environment. At every step, Dynatrace provides integrations, precise root-cause analysis, and pinpoint precision fueled by AI and automation. What is the Azure Well-Architected Framework?

Azure 187

Azure Monitoring Virtualization Metrics 187

Dynatrace

MAY 20, 2019

Mainframe environments power 30 billion transactions a day and are used by 72 of Fortune 500 companies in 34 countries across the globe. As a result, it becomes a challenge for enterprises to manage hybrid applications, where transactions flow across both cloud native and mainframe technology stacks. But it’s not just about the product.

Innovation 155

Innovation Cloud Infrastructure Monitoring 155

Dynatrace

DECEMBER 20, 2019

Although change is a prerequisite for mastering digital transformation, it takes compelling reasons to leave a well-known comfort zone and try something new, even if it’s groundbreaking. You can stop reading this if you don’t know the terms AppMon, Agent Group, System Profile, or Transaction Flow. You name it, and we have it!

Infrastructure 134

Infrastructure Government Cloud Monitoring 134

Dynatrace

OCTOBER 28, 2020

While change is a prerequisite for mastering digital transformation, you need compelling reasons before considering leaving a well-known comfort zone and trying out something new (even when that “something new” provides groundbreaking, AI-driven monitoring, across all modern technology stacks at web scale).

Monitoring 146

Monitoring Systems Infrastructure Cloud 146

Dynatrace

MAY 5, 2021

The “shift-left” mindset seeks to harness the data generated by applications and processes, and makes full use of it earlier in the production cycle. The “shift-left” mindset seeks to harness the data generated by applications and processes, and makes full use of it earlier in the production cycle.

Benchmarking 182

Benchmarking Latency Speed Software 182

Dynatrace

APRIL 30, 2021

As Grabner explained, 80% percent of their time is spent on manual tasks, such as creating scripts, monitoring configurations, analyzing test results, and generating reports. Ferstl then shared how Triscon and ERGO*, one of the major insurance groups in Germany and Europe, were able to implement automated performance testing.

Engineering 199

Engineering Testing Performance Performance Testing 199

Testsigma

JUNE 26, 2021

With the advent of agile and DevOps culture, we’re already embracing digital transformation. Auto-healing: 70% of test cases are managed by AI and it comes with self-healing properties. Organizations globally are looking for newer technologies and tools to innovate, enhance productivity and deliver faster.

Testing Tools 52

Testing Tools Testing Analytics Mobile 52

Testsigma

JUNE 26, 2021

Since there is no need to write any piece of code — testers can write test cases that are often aided by AI, therefore enhancing both performance and the speed of testing. Most codeless automation testing tools come with features such as AI, scalability, amongst a few others that give these tools an extra edge. for the next five years.

Testing 57

Testing Testing Tools Automotive Scalability 57

Testsigma

AUGUST 26, 2021

This testing approach has quickly become a crucial element of test automation because it streamlines the automation process. For agile teams, applying test orchestration to their testing strategy is quite rewarding as it accelerates testing and offers a holistic view of the testing process. This helps detect and fix errors as and when they occur.

Testing 52

Testing Strategy DevOps Testing Tools 52

Testsigma

FEBRUARY 18, 2020

AI evolves basically around 2 stages of the learning process: 1. AI evolves basically around 2 stages of the learning process: 1. Also known as Weak AI, the machines are designed to perform a specific set of tasks. AI uses techniques that permit the extraction of relations from a vast amount of data.

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

The Morning Paper

JUNE 6, 2019

FL is one instance of the more general approach of “bringing the code to the data, instead of the data to the code” and addresses the fundamental problems of privacy, ownership, and locality of data. There’s a good high-level overview of federated learning on Google’s AI blog. So what exactly is federated learning?

Systems 71

Systems Design Google Servers 71