Dynatrace

APRIL 19, 2024

In this blog post, we explore real-life scenarios shared by our customers, partners, and internal users at Dynatrace, offering inspiration to kickstart your own journey with custom solutions powered by AppEngine. Using AppEngine as the foundation, they fed disk utilization data into Davis ® AI to forecast the required resizing operation.

AWS 213

AWS Analytics Cloud Monitoring 213

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 178

DevOps Analytics Best Practices Java 178

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. Dataflow overview Dynatrace ActiveGate extensions allow you to extend Dynatrace monitoring to any remote technology that exposes an interface. Don’t rename the file.

Database 263

Database Artificial Intelligence Metrics Monitoring 263

Dynatrace

JULY 24, 2023

In this blog, we will dive into the transformative power of answer-driven automation. From automating email communications and backup scheduling to streamlining invoicing and billing processes, organizations have embraced automation to save time and reduce manual effort.

DevOps 213

DevOps Traffic Efficiency Servers 213

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

O'Reilly

MARCH 26, 2024

Copyright was intended to incentivize cultural production: in the era of generative AI, copyright won’t be enough. Copyright was intended to incentivize cultural production: in the era of generative AI, copyright won’t be enough. Specific prompts seem to “unlock” training data.

Artificial Intelligence 110

Artificial Intelligence Social Media Google Internet 110

Dynatrace

OCTOBER 25, 2022

Mike Gualtieri of Forrester Research, who coined the term NoOps , once said in his blog post, “NoOps means that application developers will never have to speak with an operations professional again.”. NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. What is NoOps?

DevOps 210

DevOps Big Data Cloud Innovation 210

Dynatrace

JULY 12, 2022

Accordingly, for organizations developing and managing applications in the cloud, AIOps (AI for IT operations) has become a key tool to understand application performance problems, cybersecurity threats, and more. Then, the platform builds relationships … [to provide] precise answers and predictive insights.”.

Innovation 212

Innovation Infrastructure DevOps Azure 212

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. Observability relies on telemetry derived from instrumentation that comes from the endpoints and services in your multi-cloud computing environments. Dynatrace news.

Metrics 363

Metrics Open Source Monitoring Infrastructure 363

Dynatrace

NOVEMBER 22, 2021

In fact, Gartner predicts that cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives by 2025 — up from less than 40% in 2021. These modern, cloud-native environments require an AI-driven approach to observability. Dynatrace is making the value of AI real.

AWS 222

AWS Lambda Artificial Intelligence Serverless 222

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. Other vendors have AI?

AWS 142

AWS Cloud Artificial Intelligence Innovation 142

Adrian Cockcroft

JUNE 2, 2023

What I learned at GlueCon 2023 — Tipping Points and Generative AI The final slide of my GlueCon keynote featuring a sunset over a pool in Maui — picture by Adrian I’ve presented at GlueCon many times over the last decade or so. It’s big enough to be interesting but not too big (this year had fewer attendees than some in the past).

Social Media 98

Social Media Innovation Open Source Entertainment 98

Dynatrace

APRIL 26, 2022

In what follows, we’ll define digital experience monitoring, the primary types of monitoring tools, the role it plays in end-to-end observability, and how it ties to automatic and intelligent AIOps (or AI for IT operations). DEM can give organizations business observability—insight into the effects of user experience on the bottom line.

Monitoring 196

Monitoring Social Media IoT Metrics 196

Scalegrid

MAY 13, 2020

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. See why Greenplum is the best database for analytics, machine learning, and AI use cases. What Exactly is Greenplum? At a glance – TLDR. The Greenplum Architecture.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

NOVEMBER 3, 2021

Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Observability is the ability to understand a system’s internal state by analyzing the data it generates, such as logs, metrics, and traces. Dynatrace news. Monitoring vs. observability.

Monitoring 213

Monitoring Metrics DevOps Scalability 213

Dynatrace

JULY 22, 2019

Basically, what we call “first-generation” monitoring software. People cannot predict how their applications are going to behave ahead of time. Dynatrace belongs to the third generation of monitoring software where things have changed dramatically – for the better! How do we know if this will affect the end-user?

Best Practices 162

Best Practices Artificial Intelligence Monitoring Tuning 162

Testsigma

JANUARY 7, 2022

AI and Machine learning-based testing. Another software testing trend to watch out for in 2022 is artificial intelligence(AI) and machine learning(ML). AI and ML are no new words today. From mobile applications to chatbots to predictive systems, AI is growing its foot in every direction.

Artificial Intelligence 89

Artificial Intelligence IoT Software Software 89

Dynatrace

SEPTEMBER 23, 2021

They predicted this figure would jump to 75% by 2022. So far, their prediction seems to be spot-on. However, to be secure, containers must be properly isolated from each other and from the host system itself. Network scanners that see systems from the “outside” perspective. What is container security?

Open Source 243

Open Source Benchmarking Best Practices Network 243

Dynatrace

NOVEMBER 15, 2021

In fact, the global log management market is expected to grow from 1.9 A log is a detailed, timestamped record of an event generated by an operating system, computing environment, application, server, or network device. “Logging” is the practice of generating and storing logs for later analysis. What are logs?

Analytics 202

Analytics Monitoring Artificial Intelligence DevOps 202

Dynatrace

DECEMBER 2, 2020

While observability is in its early stages with less than 10% of enterprises adopting it as of 2020, Gartner predicts 30% of companies with cloud-based architectures will be employing observability techniques by 2024. Dynatrace news. Observability defined. These outcomes can damage an organization’s reputation and its bottom line.

DevOps 148

DevOps Monitoring Cloud Artificial Intelligence 148

Brendan Gregg

JULY 4, 2021

I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. Note that my predictions in this talk may be wrong, but they should be thought provoking. Ford, et al., “TCP Ford, et al., “TCP

Performance 140

Performance Latency Hardware Storage 140

Dynatrace

DECEMBER 2, 2021

Dynatrace news. As organizations adopt microservices-based architecture , service-level objectives (SLOs) have become a vital way for teams to set specific, measurable targets that ensure users are receiving agreed-upon service levels. But what are SLOs? To get a better handle on this, let’s start with some definitions. What are error budgets?

Metrics 184

Metrics Best Practices DevOps Infrastructure 184

Dynatrace

DECEMBER 20, 2021

Replay tools log data from users’ interactions with your website or application, including the pages they looked at, how long they stayed, and what they clicked on while they were there. From clicks to scrolls, taps, keystrokes, and even the dreaded “rage click,” replay tools capture it all. What is session replay?

Mobile 240

Mobile Website Analytics Cache 240

Testsigma

FEBRUARY 18, 2020

They can be designed to execute all types of tasks from complex to simple ones. 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. Artificial General Intelligence. Artificial Narrow Intelligence.

Artificial Intelligence 52

Artificial Intelligence Healthcare Programming Logistics 52

Testsigma

FEBRUARY 12, 2021

From AI to ML, the shifting technology world is constantly innovating and making significant progress. Presently we know it is far from easy to forecast the future – all of us have discovered this in 2020 through major ups and downs. Many changes are rendered through automated testing. Hyperautomation.

Artificial Intelligence 92

Artificial Intelligence Software Software IoT 92

Testsigma

JUNE 26, 2021

MarketQuest (2021) predicts automation testing to grow at a Compound Annual Growth Rate (CAGR) of 9.8% As testers don’t have to spend their time coding or learning to code — you can start with codeless testing from day one. What we mean is, you can start automating your projects right from the day you sign up for the tool.

Testing 57

Testing Testing Tools Automotive Scalability 57

ACM Sigarch

OCTOBER 25, 2018

Over the last decade, flagship processors from Intel and AMD have been eking out only marginal cross-generational single threaded (ST) performance gains. So does this mean the current generation of out-of-order architecture is approaching fundamental limits in ST performance? to extract ILP during execution.

Architecture 67

Architecture Technology Technology Innovation 67

Adrian Cockcroft

JANUARY 20, 2023

This post started out as a reaction to attending SC22 after about 20 years away from the HPC mainstream. Luckily I think we are in general agreement on the main points. Next generation architectures will use CXL3.0 I had a version of this published as a story at InsideHPC on December 1st. petaflops, which is 0.8%

Architecture 52

Architecture Latency Benchmarking AWS 52

Adrian Cockcroft

NOVEMBER 13, 2023

I’ve linked to several papers and blog posts along the way. Along the way I’m learning a lot about the subtleties of measurement and reduction of carbon, and there’s some complex and counter-intuitive nuances that I’m going to try to explore in this post. That’s quite a big assumption, but I want to focus on what happens next.

Energy 52

Energy Cloud Traffic Transportation 52

Brendan Gregg

JULY 4, 2021

I summarized these topics and more as a plenary conference talk, including my own predictions (as a senior performance engineer) for the future of computing performance, with a focus on back-end servers. Note that my predictions in this talk may be wrong, but they should be thought-provoking. Ford, et al., “TCP Ford, et al., “TCP

Performance 52

Performance Latency Hardware Storage 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. Note that this beyond using an on-device model to make predictions based on local data. SysML 2019. Federated Averaging.

Systems 71

Systems Design Google Servers 71

O'Reilly

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. Many AI adopters are still in the early stages. What’s the reality?

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

CSS - Tricks

MARCH 13, 2019

I’m from Nigeria and, if your product works in Africa, then you shouldn’t be looking at that. Image delivery has evolved from a simple addition of URLs to the src attribute to complex scenarios. In general, images are either: Dynamic : Dynamic images are uploaded by the audience, having been generated by other events in the system.

Media 72

Media Artificial Intelligence Strategy Open Source 72

Testsigma

SEPTEMBER 2, 2021

You can subtract the current offering from this amount. The number of people can range from 3 to 8 depending on the lot size. Automated web testing is not a new concept today. With advancements in web development technologies and how complex web codes are written today, web testing was bound to walk this way sooner or later.

Strategy 71

Strategy Testing Cloud Virtualization 71

O'Reilly

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. We all know that ChatGPT is some kind of an AI bot that has conversations (chats).

Google 104

Google Open Source Programming Code 104

All Things Distributed

NOVEMBER 30, 2016

From the early days of Amazon, Machine learning (ML) has played a critical role in the value we bring to our customers. Around 20 years ago, we used machine learning in our recommendation engine to generate personalized recommendations for our customers. in ML and neural networks) and access to vast amounts of data.

AWS 165

AWS Lambda Artificial Intelligence Mobile 165