Dynatrace

FEBRUARY 26, 2024

This presentation showcased the Dynatrace Platform capabilities, leveraging contextual analytics and AI to automate problem solving across observability, security, and business functions. Empowering partners for success During this year’s Partner Summit, Dynatrace hosted several key sessions for partners, including: Dynatrace on Dynatrace.

Artificial Intelligence 199

Artificial Intelligence IoT Programming Innovation 199

Dynatrace

JULY 25, 2023

Generative AI drives productivity through AI-powered analytics and automation for all members of your organization. Large language models (LLMs), which are the foundation of generative AIs, are neural networks: they learn, summarize, and generate content based on training data. This AI also triggers automated remediation actions.

Best Practices 237

Best Practices Analytics Metrics Code 237

Dynatrace

JANUARY 22, 2024

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. Data lakehouses can store and query structured, semi-structured, and unstructured data on low-cost infrastructure.

Artificial Intelligence 212

Artificial Intelligence Healthcare Retail Government 212

Dynatrace

AUGUST 7, 2023

Because generative AI is probabilistic in nature, its value depends on the quality of data that trains its algorithms and prompts. Learn more about securing modern applications and infrastructure and how to integrate security analytics into your DevSecOps initiative with the following resources.

DevOps 190

DevOps Analytics Best Practices Java 190

Dynatrace

MAY 24, 2021

In recognition of partner architects, engineers, administrators, consultants, and delivery roles that invest in formal Dynatrace training and certification, we launched Pro Club as an exclusive community for those who achieve Dynatrace Professional certification. Training & Certification Award: Accenture. Partner Pro Club.

Programming 237

Programming Cloud Virtualization Technology 237

Dynatrace

OCTOBER 14, 2022

Therefore, organizations are increasingly turning to artificial intelligence and machine learning technologies to get analytical insights from their growing volumes of data. AI applies advanced analytics and logic-based techniques to interpret data and events, support and automate decisions, and even take intelligent actions.

Artificial Intelligence 179

Artificial Intelligence DevOps Analytics Cloud 179

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. With AIOps , practitioners can apply automation to IT operations processes to get to the heart of problems in their infrastructure, applications and code.

AWS 232

AWS Lambda Artificial Intelligence Serverless 232

Dynatrace

JULY 6, 2022

With ever-evolving infrastructure, services, and business objectives, IT teams can’t keep up with routine tasks that require human intervention. AI that is based on machine learning needs to be trained. How organizations benefit from automating IT practices. This results in outages, increased costs, and frustrated customers.

Artificial Intelligence 194

Artificial Intelligence Tuning Strategy Big Data 194

Dynatrace

MAY 17, 2023

GPT (generative pre-trained transformer) technology and the LLM-based AI systems that drive it have huge implications and potential advantages for many tasks, from improving customer service to increasing employee productivity.

Innovation 265

Innovation Software Software Artificial Intelligence 265

Dynatrace

MAY 24, 2021

In recognition of partner architects, engineers, administrators, consultants, and delivery roles that invest in formal Dynatrace training and certification, we launched Pro Club as an exclusive community for those who achieve Dynatrace Professional certification. Training & Certification Award: Accenture. Partner Pro Club.

Programming 174

Programming Cloud Virtualization Technology 174

Dynatrace

DECEMBER 8, 2022

Therefore, many lack training and familiarity with newer tools designed for cloud-based technologies. It combines broad and deep observability and continuous runtime application security with advanced AI and contextual analytics to provide precise answers and intelligent automation from data at enormous scale.

Education 206

Education Government Innovation Cloud 206

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

FEBRUARY 28, 2022

They found that students who prepared with microlearning prior to attending expert-led training asked more advanced questions of their live instructor, and didn’t need to focus on as much of the basics. They needed a flexible approach to quickly enable their diverse employees at scale. Aligned to the Dynatrace Platform.

Virtualization 205

Virtualization Education Cloud Monitoring 205

The Netflix TechBlog

MAY 21, 2019

We thought that reinforcement learning would be a promising approach that could provide great flexibility in the training process. Likewise it has very low requirements on the initial amount of training data. We needed a way to run agents and tie the runs to the internal infrastructure for analytics, reporting, and visualizations.

Testing 163

Testing AWS Lambda Network 163

High Scalability

JANUARY 11, 2022

FUN FACT : In this talk , Rodrigo Schmidt, director of engineering at Instagram talks about the different challenges they have faced in scaling the data infrastructure at Instagram. We can use deep neural networks which would take the several features (> 100K dense features) which we require for training the model.

Design 334

Design Media Storage Logistics 334

Dynatrace

NOVEMBER 24, 2022

Speaking to our vision, mission, and purpose, Rick touched on how cloud modernization is no longer about dashboards or data but about using AI and knowledge of our infrastructure to deliver precise answers, which is essential to enable flawless and secure digital interactions – our purpose at Dynatrace.

Innovation 162

Innovation Virtualization Programming Energy 162

Dynatrace

DECEMBER 2, 2021

SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. This trains your teams to be proactive in maintaining software quality and saves you money by avoiding downtime. Help with decision making.

Metrics 196

Metrics Best Practices DevOps Infrastructure 196

CSS Wizardry

OCTOBER 27, 2018

My involvement with clients here is usually workshops and training: teaching developers the knowledge and tooling required to effectively conduct performance audits, and making teams self-sufficient. How: RUM tooling, analytics, monitoring. Who: Engineers. When: During development. Who: Engineers, Product Owners, Marketing.

Performance Testing 172

Performance Testing Testing Performance Strategy 172

Adrian Cockcroft

FEBRUARY 13, 2023

Provides comparison of inference workload on P4dn GPU instances vs. AWS Trainium saving 92% energy and 90% cost, and training workload on P4dn vs. AWS Inferentia 2.6x shorter training time, saving 54% energy and 75% cost. Talk by the team that is actually working on reducing the carbon footprint of AWS.

AWS 64

AWS Energy Architecture Programming 64

The Morning Paper

JUNE 6, 2019

Federated Learning (FL) is a distributed machine learning approach which enables training on a large corpus of decentralized data residing on devices like mobile phones. Here we’re actually training the model in a distributed fashion, using data collected on the devices, without the data ever leaving those devices. Federated Averaging.

Systems 71

Systems Design Google Servers 71

Dynatrace

JANUARY 31, 2024

This unified approach reduces the total cost of ownership (TCO), cutting down on the overhead costs associated with managing multiple standalone tools and training costs and simplifying procurement and vendor management. Infrastructure monitoring mode offers the same capabilities except tracing and profiling.

Analytics 178

Analytics Infrastructure Monitoring Cloud 178

Dynatrace

APRIL 26, 2023

One effective capacity-management strategy is to switch from a reactive approach to an anticipative approach: all necessary capacity resources are measured, and those measurements are used to train a prediction model that forecasts future demand. You can use any DQL query that yields a time series to train a prediction model.

Games 218

Games Analytics Strategy Cloud 218

Dynatrace

JULY 27, 2020

We introduced Dynatrace’s Digital Business Analytics in part one , as a way for our customers to tie business metrics to application performance and user experience, delivering unified insights into how these metrics influence business milestones and KPIs. Only with Dynatrace Digital Busines Analytics. Click on Next.

Analytics 173

Analytics Artificial Intelligence Metrics Design 173

Dynatrace

FEBRUARY 23, 2022

Increased adoption of Infrastructure as code (IaC). IaC, or software intelligence as code , codifies and manages IT infrastructure in software, rather than in hardware. Infrastructure as code is also known as software-defined infrastructure, or software intelligence as code.

Serverless 270

Serverless Infrastructure Innovation DevOps 270

Dynatrace

JANUARY 31, 2024

Data observability is crucial to analytics and automation, as business decisions and actions depend on data quality. 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.

DevOps 197

DevOps Analytics Airlines Metrics 197

The Morning Paper

FEBRUARY 27, 2020

Gandalf: an intelligent, end-to-end analytics service for safe deployment in cloud-scale infrastructure , Li et al., Instead of setting static thresholds for each feature, the decision criteria are trained dynamically with a Gaussian discriminant classifier. NSDI’20. Gandalf in action.

Analytics 68

Analytics Infrastructure Cloud Hardware 68

O'Reilly

NOVEMBER 28, 2023

Even with cloud-based foundation models like GPT-4, which eliminate the need to develop your own model or provide your own infrastructure, fine-tuning a model for any particular use case is still a major undertaking. Training models and developing complex applications on top of those models is becoming easier. of nonusers, 5.4%

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

Dynatrace

SEPTEMBER 21, 2023

Research from 2020 suggests that training a single LLM generates around 300,000 kg of carbon dioxide emissions—equal to 125 round-trip flights from New York to London. As we onboard more customers, the platform requires more infrastructure, leading to increased carbon emissions. This adoption will further impact carbon emissions.

Energy 239

Energy Cloud Airlines Strategy 239

Scalegrid

JANUARY 12, 2024

This article analyzes cloud workloads, delving into their forms, functions, and how they influence the cost and efficiency of your cloud infrastructure. Executing cutting-edge intelligent apps’ deployment after successful training becomes much easier thanks primarily to this functionality made possible! Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

MAY 8, 2023

However, digital transformation requires significant investment in technology infrastructure and processes. As a result, a successful digital transformation strategy requires that organizations make changes to organizational culture and provide employee training. federal agency.

Strategy 179

Strategy Retail DevOps Education 179

The Netflix TechBlog

APRIL 29, 2019

An easy, though imprecise, way of thinking about Netflix infrastructure is that everything that happens before you press Play on your remote control (e.g., Various software systems are needed to design, build, and operate this CDN infrastructure, and a significant number of them are written in Python. are you logged in?

Open Source 279

Open Source Network Infrastructure Big Data 279

Dynatrace

SEPTEMBER 28, 2020

to help enterprises go from seeing a problem to understanding where it came from – connecting application workloads, infrastructure, and digital experience, in ways that few other players in the market can offer.” . The company has invested significantly in providing a single-pane-of-glass experience ?

Cloud 245

Cloud Serverless Innovation Architecture 245

Dynatrace

JANUARY 31, 2022

The cloud-based, on-demand execution model of serverless architecture helps teams innovate more efficiently and effectively by removing the burden of managing the underlying infrastructure. Simply put, cloud-based serverless architecture helps teams maximize performance while also reducing the cost of maintaining IT infrastructure.

Serverless 181

Serverless Architecture Open Source Innovation 181

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

O'Reilly Software

OCTOBER 23, 2018

As we mature, we realize that picking one tool or framework or language or platform is not a matter of personal taste but rather a choice with broad ramifications for future flexibility, mergers and acquisitions, training, our ability to hire future supporting teams, and our future ability to directly support—or subvert—the business strategy.

Strategy 100

Strategy Architecture Technology Technology 100

Dynatrace

OCTOBER 14, 2021

They require extensive training, and real-user must spend valuable time filtering any false positives. A comprehensive, modern approach to AIOps is a unified platform that encompasses observability, AI, and analytics. training data) that the algorithm can then learn from. What are the components of a modern AIOps solution?

Artificial Intelligence 217

Artificial Intelligence DevOps Innovation Metrics 217

Dynatrace

OCTOBER 5, 2022

The Cybersecurity and Infrastructure Security Agency (CISA) and National Cybersecurity Alliance (NCA) state that cyber security is truly about the people. Teams should be trained on security concerns in addition to their typical responsibilities. What is Cybersecurity Awareness Month all about? What does that mean?

Best Practices 199

Best Practices Education Monitoring Government 199