Dynatrace

MAY 17, 2023

This is one example of the many use cases we’re exploring. ChatGPT and generative AI: A new world of innovation Software development and delivery are key areas where GPT technology such as ChatGPT shows potential. It highlights the potential of GPT technology to drive “information democracy” even further.

Innovation 262

Innovation Software Software Artificial Intelligence 262

Dynatrace

MAY 3, 2024

Real-time streaming needs real-time analytics As enterprises move their workloads to cloud service providers like Amazon Web Services, the complexity of observing their workloads increases. SREs and DevOps engineers need cloud logs in an integrated observability platform to monitor the whole software development lifecycle.

Cloud 205

Cloud Lambda AWS Analytics 205

Dynatrace

NOVEMBER 2, 2022

Why organizations are turning to software development to deliver business value. Digital immunity has emerged as a strategic priority for organizations striving to create secure software development that delivers business value. Software development success no longer means just meeting project deadlines. Autonomous testing.

Software 198

Software Software Artificial Intelligence DevOps 198

Dynatrace

APRIL 5, 2024

For example, suppose a company has standardized on a suite of disparate tools to monitor its infrastructure and apps. This enables companies to ingest, analyze, and retain massive quantities of data with powerful analytics and AI-powered answers. Choosing the right observability solution is critical to success in this model.

Cloud 238

Cloud Analytics Monitoring Scalability 238

Dynatrace

FEBRUARY 18, 2020

On the other side of the organization, application owners have hired teams of analysts to dig through web analytics tools to gain insights into the customer experience. Welcome to Dynatrace Digital Business Analytics. What does this mean and how can you unlock Digital Business Analytics? Digital Business Analytics in action.

Analytics 197

Analytics Retail Metrics Mobile 197

Dynatrace

OCTOBER 7, 2020

Topology metrics are related to specific entities in your Smartscape topology (for example, the number of successful and failed batch jobs processed by a host). Non-topology metrics are not related to any Smartscape entity (for example, a retailer’s revenue numbers per store). This metric dimension was automatically added by OneAgent.

Metrics 245

Metrics Analytics Storage Monitoring 245

Dynatrace

APRIL 18, 2024

DevOps and platform engineering are essential disciplines that provide immense value in the realm of cloud-native technology and software delivery. The deep visibility and insights that observability provides allow teams to take proactive measures early in the software development life cycle (SDLC).

DevOps 192

DevOps Engineering Artificial Intelligence Infrastructure 192

Dynatrace

DECEMBER 13, 2023

For example, DevOps teams will combine generative AI with fact-based causal and predictive AI to supercharge digital innovation by predicting and preventing issues before they occur and generating new workflows to automate the software delivery lifecycle. Technology prediction No. Technology prediction No. Technology prediction No.

Technology 205

Technology Technology Artificial Intelligence Analytics 205

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 278

Efficiency Performance Analytics DevOps 278

Dynatrace

FEBRUARY 1, 2024

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. By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.”

Artificial Intelligence 188

Artificial Intelligence Analytics Efficiency Database 188

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. For example, 73% of technology leaders are investing in AI to generate insight from observability, security, and business events data.

Artificial Intelligence 208

Artificial Intelligence DevOps Analytics Strategy 208

Dynatrace

MARCH 27, 2024

Modern enterprises today use a myriad of enterprise Software-as-a-service (SaaS) applications and productivity suites to run business operations, such as Microsoft 365, Google Workspace, Salesforce, Slack, Zendesk, Zoom, GitHub, and many more. 16) our company users access the internet from.

AWS 248

AWS Analytics Government Monitoring 248

Official Blog - World Web Technology

JULY 7, 2023

Businesses increasingly rely on ecommerce software solutions to automate their processes and boost productivity as demand for online shopping keeps rising. Online sales, inventory, customer connections, and other business operations can all be managed by firms using various tools and platforms that make up ecommerce software solutions.

Ecommerce 52

Ecommerce Software Software Analytics 52

Dynatrace

JULY 25, 2023

This expansion of Davis AI complements the proven Dynatrace predictive AI model (for example, forecasting and anomalies) and our causal AI model (for example, determination of a problem’s root cause, security risks, user impact, and steering automation), which are at the core of the Dynatrace platform.

Best Practices 235

Best Practices Analytics Metrics Code 235

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

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

ScaleOut Software

JUNE 15, 2020

When analyzing telemetry from a large population of data sources, such as a fleet of rental cars or IoT devices in “smart cities” deployments, it’s difficult if not impossible for conventional streaming analytics platforms to track the behavior of each individual data source and derive actionable information in real time.

Analytics 52

Analytics IoT Lambda Big Data 52

Dynatrace

FEBRUARY 28, 2023

Integrating with Microsoft Sentinel adds security events to our Runtime Application Protection and provides additional data for investigation with our security analytics features using Dynatrace Query Language on Grail. Its core capabilities are the following: Runtime vulnerability analytics. Runtime application protection. Audit logs.

Analytics 147

Analytics Cloud Software Software 147

Dynatrace

FEBRUARY 16, 2023

Organizations need to consider which teams are in charge of securing software assets. Dynatrace pre-deployment security tooling eliminates blind spots With Runtime Vulnerability Analytics (RVA), Dynatrace customers already receive a prioritized and risk-based assessment of detected vulnerabilities.

Programming 197

Programming Government Analytics Efficiency 197

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

JANUARY 22, 2024

For example, machine learning can identify correlations in data and generate predictions, while causal AI determines which ones are the true drivers. Software development. Software project managers can optimize development processes by analyzing workflow data, such as development time, code commits, and testing phases.

Artificial Intelligence 210

Artificial Intelligence Healthcare Retail Government 210

Dynatrace

SEPTEMBER 8, 2022

Event logging and software tracing help application developers and operations teams understand what’s happening throughout their application flow and system. While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management.

Systems 187

Systems Cloud Analytics DevOps 187

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 136

Analytics Cloud Healthcare Retail 136

Dynatrace

JULY 24, 2023

Session replay is a more visual approach to understanding user behavior compared with traditional analytics tools that focus primarily on bounce rates, conversions, and page views. A simple example is the common action of filling out an online form. Examples include the following. Medical data.

Analytics 194

Analytics Website Mobile Internet 194

ScaleOut Software

JULY 21, 2020

ScaleOut StateServer® Pro Adds Analytics to In-Memory Data Grids . For example, if an application is storing shopping carts, it might be useful to find all shopping carts with a total value that exceeds a specified threshold so that these shoppers can be given special attention. In-Memory Data Grids for Fast-Changing Data.

Analytics 52

Analytics Airlines Cache Scalability 52

Dynatrace

APRIL 25, 2023

Innovating with software is happening faster than ever. The traditional practice of scanning for vulnerabilities before production is insufficient because vulnerabilities can emerge at any point in the software supply chain. Ensuring secure applications amid rising complexity is a crucial part of this journey.

Government 216

Government Innovation Open Source Traffic 216

Dynatrace

APRIL 29, 2021

Our Dynatrace researchers now have a space to share their contributions and research in the domains of software intelligence, data science, real-time analytics, distributed data systems, and cloud-native application security. The post Showcasing engineering excellence at Dynatrace appeared first on Dynatrace blog.

Engineering 261

Engineering Open Source Website Innovation 261

Dynatrace

FEBRUARY 15, 2023

Development teams need automated workflows so they’re not stuck manually monitoring all stages of the software development lifecycle in their cloud environments. An automated workflow, for example, might identify an application issue, send an alert to ServiceNow, generate a help desk ticket, and even trigger a remediation step.

Code 214

Code DevOps Cloud Analytics 214

Dynatrace

SEPTEMBER 13, 2023

This is where unified observability and Dynatrace Automations can help by leveraging causal AI and analytics to drive intelligent automation across your multicloud ecosystem. For example, optimizing resource utilization for greater scale and lower cost and driving insights to increase adoption of cloud-native serverless services.

AWS 249

AWS Efficiency Azure Cloud 249

Dynatrace

APRIL 11, 2023

Application vulnerabilities remain a key concern Application vulnerabilities—weaknesses or flaws in software applications that malicious attackers can use to exploit IT systems—exist in any type of software, including web and mobile applications. But organizations face barriers to this convergence.

Cloud 189

Cloud DevOps Open Source Retail 189

The Netflix TechBlog

OCTOBER 28, 2021

Pallavi Phadnis is a Senior Software Engineer at Netflix. Pallavi Phadnis is a Senior Software Engineer on the Product Data Science and Engineering team. Before joining Netflix, she worked in the advertising and e-commerce industries as a backend software engineer. Pallavi received her master’s degree from Carnegie Mellon.

Data Engineering 173

Data Engineering Engineering Big Data Software Engineering 173

Dynatrace

OCTOBER 4, 2022

Software and data are a company’s competitive advantage. That’s because every company is now a software company. As a result, organizations need software to work perfectly to create customer experiences, deliver innovation, and generate operational efficiency. That’s exactly what a software intelligence platform does.

Analytics 193

Analytics Software Software Storage 193

Dynatrace

APRIL 26, 2022

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). Real-user monitoring (RUM). Endpoints can be physical (i.e., PC, smartphone, server) or virtual (virtual machines, cloud gateways).

Monitoring 206

Monitoring Social Media IoT Metrics 206

Dynatrace

AUGUST 14, 2023

As user experiences become increasingly important to bottom-line growth, organizations are turning to behavior analytics tools to understand the user experience across their digital properties. Here’s what these analytics are, how they work, and the benefits your organization can realize from using them.

Analytics 231

Analytics Social Media Website IoT 231

Dynatrace

SEPTEMBER 30, 2021

AWS Certified Machine Learning – Specialty: Data scientists or software developers who already have some exposure to machine learning in AWS may find this certification worthwhile. Data analytics. However, AWS recommends getting the AWS Certified Cloud Practitioner certificate or an equivalent Associate-level cert beforehand.

AWS 212

AWS Best Practices Analytics Cloud 212

Dynatrace

JANUARY 23, 2024

AI data analysis can help development teams release software faster and at higher quality. Another key theme at Dynatrace Perform 2024 is organizations’ growing adoption of platform engineering , which helps accelerate the delivery of software applications.

Performance 188

Performance DevOps Innovation Artificial Intelligence 188

Dynatrace

NOVEMBER 8, 2021

APM solutions track key software application performance metrics using monitoring software and telemetry data. It explains that APM tools “allow users to monitor and track the performance of particular software or web applications to identify and solve any performance issues that may arise. APM solutions: A primer.

Artificial Intelligence 234

Artificial Intelligence Monitoring Infrastructure Cloud 234