Dynatrace

MARCH 29, 2024

Teams require innovative approaches to manage vast amounts of data and complex infrastructure as well as the need for real-time decisions. Generative AI: A type of AI that uses an algorithm trained on large amounts of data collected from diverse sources to generate various types of content, including text, images, audio, and synthetic data.

Artificial Intelligence 179

Artificial Intelligence DevOps Strategy Open Source 179

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 192

DevOps Analytics Airlines Metrics 192

Dynatrace

JUNE 14, 2023

And specifically, how Dynatrace can help partners deliver multicloud performance and boundless analytics for their customers’ digital transformation and success. Cloud-native apps and infrastructure There is strong traction within the market helping customers to better adopt cloud-native environments with speed and confidence.

Programming 177

Programming Analytics Innovation Best Practices 177

Dynatrace

FEBRUARY 23, 2022

DevSecOps teams can address this unsettling tradeoff by automating processes throughout the SDLC, centralizing application configuration with a shared set of tools, and using observability platforms to gain visibility into code-quality lapses, security gaps, and other software development issues.

Serverless 261

Serverless Infrastructure Innovation DevOps 261

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 230

Energy Cloud Airlines Strategy 230

Scalegrid

MAY 13, 2020

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. 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. What Exactly is Greenplum? At a glance – TLDR.

Big Data 321

Big Data Database Artificial Intelligence Open Source 321

Dynatrace

JANUARY 22, 2024

Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases. 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

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. In the realm of cloud-based business operations, there is an increasing dependence on complex information processing patterns. Additionally.

Cloud 130

Cloud Virtualization Storage Efficiency 130

Dynatrace

MAY 8, 2023

Digitizing internal processes can improve information flow and enhance collaboration among employees. However, digital transformation requires significant investment in technology infrastructure and processes. Enhanced business operations. federal agency.

Strategy 172

Strategy Retail DevOps Education 172

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 172

Artificial Intelligence DevOps Analytics Cloud 172

Dynatrace

JULY 6, 2022

At its most basic, automating IT processes works by executing scripts or procedures either on a schedule or in response to particular events, such as checking a file into a code repository. Adding AIOps to automation processes makes the volume of data that applications and multicloud environments generate much less overwhelming.

Artificial Intelligence 185

Artificial Intelligence Tuning Strategy Big Data 185

Dynatrace

DECEMBER 8, 2022

Therefore, many lack training and familiarity with newer tools designed for cloud-based technologies. StateRAMP introduces consistency to consolidate and streamline this process. Historically, cloud service providers (CSPs) needed to engage in a lengthy and tedious authorization process for each agency with which they wanted to work.

Education 197

Education Government Innovation Cloud 197

Dynatrace

AUGUST 27, 2020

Missing operational insights, lack of context, and limited understanding of cloud service dependencies making it almost impossible to find the root cause of customer-facing application issues or underlying infrastructure problems. AWS IoT Analytics. AWS Elastic Beanstalk. AWS Elemental MediaPackage. Amazon Neptune. Amazon GameLift.

AWS 267

AWS Cloud IoT Database 267

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 225

AWS Lambda Artificial Intelligence Serverless 225

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. Get ready for actionable insights that balance technical depth with practical advice. This includes servers, applications, software platforms, and websites.

Best Practices 130

Best Practices Cloud Monitoring Strategy 130

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 174

Serverless Architecture Open Source Innovation 174

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. GPTs can also help quickly onboard team members to new development platforms and toolsets.

Innovation 256

Innovation Software Software Artificial Intelligence 256

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. There are two major processes which gets executed when a user posts a photo on Instagram. System Components. Streaming Data Model. Optimization.

Design 334

Design Media Storage Logistics 334

Dynatrace

MARCH 16, 2021

While some AIOps tools offer significant benefits over manual processes, not all of them can deliver the results organizations expect. Despite these investments, these organizations have complete visibility into just 11% of the applications and infrastructure in their environments. The challenge? Here’s how. Reduced IT spend.

Artificial Intelligence 189

Artificial Intelligence Open Source Cloud Analytics 189

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. Accurate runtime vulnerability detection and analysis tools, like Dynatrace, can help collect deep monitoring information about all the processes running on your systems, in real-time.

Best Practices 190

Best Practices Education Monitoring Government 190

Dynatrace

OCTOBER 14, 2021

Gartner defines AIOps as the combination of “big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.” They require extensive training, and real-user must spend valuable time filtering any false positives. But what is AIOps, exactly?

Artificial Intelligence 208

Artificial Intelligence DevOps Innovation Metrics 208

The Netflix TechBlog

MAY 21, 2019

Partners across the globe leverage Netflix device certification process on a continual basis to ensure that quality products and experiences are delivered to their customers. The certification process involves the verification of partner’s implementation of features provided by the Netflix SDK. We also provide an API client in Python.

Testing 163

Testing AWS Lambda Network 163

Dynatrace

DECEMBER 2, 2021

And why have SLOs and SLIs become so important as teams automate processes to consistently meet SLAs and error budgets? As defined by Gartner , service-level objectives are an agreed-upon target within an SLA that must be achieved for each activity, function, and process to provide the best opportunity for customer success.

Metrics 187

Metrics Best Practices DevOps Infrastructure 187

Dynatrace

APRIL 5, 2021

It automatically manages all the computing resources those processes require. Azure is a large and growing cloud computing ecosystem that empowers its users to access databases, launch virtual servers, create websites or mobile applications, run a Kubernetes cluster, and train machine learning models, to name a few examples.

Azure 136

Azure Serverless IoT Lambda 136

Dynatrace

JUNE 1, 2021

However, with today’s highly connected digital world, monitoring use cases expand to the services, processes, hosts, logs, networks, and of course, end-users that access these applications — including a company’s customers and employees. Improved infrastructure utilization. What does APM stand for? APM’s many forms.

Monitoring 148

Monitoring Mobile Social Media Artificial Intelligence 148

ScaleOut Software

JANUARY 28, 2021

Getting the COVID-19 crisis under control requires that we put in place an effective process for vaccine distribution so that the country can get to herd immunity as fast as possible. Aggregate analytics of data maintained by real-time digital twins can also be used to track and validate the equitable distribution of vaccines.

Logistics 84

Logistics Airlines Analytics Ecommerce 84

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. How: RUM tooling, analytics, monitoring. Who: Engineers. When: During development.

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

The Netflix TechBlog

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Processing 229

Processing Media Latency Innovation 229

Testsigma

JULY 13, 2021

Instead, it relies on natural language processing , drag-and-drop UI elements , artificial intelligence, self-healing capabilities etc. Sometimes, you need to train the automation testers on a new programming language or framework which can cost extra money to the company too. Choosing a tool is not a textbook process.

Testing 52

Testing Artificial Intelligence Programming Code 52

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. However, achieving a good LCP score is often a multi-faceted process that involves optimizing several stages of loading and rendering. Here’s a breakdown of the moving pieces.

Performance 74

Performance Cache Traffic Metrics 74

Alex Russell

JANUARY 30, 2024

Put another way, the performance gap between what devices the wealthy carry and what budget shoppers carry grew more this year (252 points) than the year-over-year gains from process and architecture at the volume price point (174 points). That's where the good news ends. But that's not the whole story! target="_new"> the U.K.

Performance 90

Performance Network Mobile Speed 90

Alex Russell

MAY 9, 2022

Effective managers understand that products require processes to manage, yet front-end discourse assumes that switching frameworks will introduce a golden age. When sibling teams are brought in to integrate late in the process, attention to the cumulative experience may suffer. How did it get away from the team so quickly?

Performance 86

Performance Latency Metrics Engineering 86

O'Reilly

NOVEMBER 28, 2023

Users and Nonusers AI adoption is in the process of becoming widespread, but it’s still not universal. Until AI reaches 100%, it’s still in the process of adoption. Training models and developing complex applications on top of those models is becoming easier. of users) report that “infrastructure issues” are an issue.

Open Source 108

Open Source Artificial Intelligence Google Infrastructure 108

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

All Things Distributed

OCTOBER 25, 2018

Those looking to comply with the upcoming Protection of Personal Information Act (POPIA) will have access to secure infrastructure that meets the most rigorous international compliance standards. We already have 55 Availability Zones across 19 infrastructure regions that customers can use today.

AWS 167

AWS Cloud Education Programming 167