Dynatrace

FEBRUARY 15, 2023

A modern observability and analytics platform brings data silos together and facilitates collaboration and better decision-making among teams. Here are some examples: IT infrastructure and operations. To tame this complexity and optimize cloud operations, teams across the organization need to manage and explore their data effectively.

Analytics 130

Analytics Storage Cloud DevOps 130

Dynatrace

JANUARY 31, 2024

The exponential growth of data volume—including observability, security, software lifecycle, and business data—forces organizations to deal with cost increases while providing flexible, robust, and scalable ingest. This “data in context” feeds Davis® AI, the Dynatrace hypermodal AI , and enables schema-less and index-free analytics.

Analytics 192

Analytics Processing Transportation Storage 192

Dynatrace

NOVEMBER 15, 2021

Log monitoring, log analysis, and log analytics are more important than ever as organizations adopt more cloud-native technologies, containers, and microservices-based architectures. With the help of log monitoring software, teams can collect information and trigger alerts if something happens that affects system performance and health.

Analytics 205

Analytics Monitoring Artificial Intelligence DevOps 205

Dynatrace

JULY 29, 2022

What is log analytics? Log analytics is the process of viewing, interpreting, and querying log data so developers and IT teams can quickly detect and resolve application and system issues. In what follows, we explore log analytics benefits and challenges, as well as a modern observability approach to log analytics.

Analytics 178

Analytics Storage Retail Monitoring 178

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 256

Innovation Software Software Artificial Intelligence 256

Dynatrace

FEBRUARY 16, 2023

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Open source solutions are also making tracing harder.

Analytics 182

Analytics Innovation Metrics Database 182

Dynatrace

FEBRUARY 14, 2022

Mobile app monitoring and mobile analytics make this possible. By providing insight into how apps are operating and why they crash, mobile analytics lets you know what’s happening with your apps and what steps you can take to solve potential problems. What is mobile analytics? Why use mobile analytics and app monitoring?

Mobile 176

Mobile Analytics Monitoring Best Practices 176

Dynatrace

FEBRUARY 25, 2020

We introduced 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. A sample Digital Business Analytics dashboard. Dynatrace news.

Analytics 206

Analytics Metrics Best Practices Servers 206

Dynatrace

DECEMBER 27, 2022

When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. Stable, well-calibrated SLOs pave the way for teams to automate additional processes and testing throughout the software delivery lifecycle. SLOs aid decision making.

Software 259

Software Software Benchmarking Latency 259

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 193

Analytics Retail Metrics Mobile 193

Dynatrace

APRIL 19, 2024

Increasingly, organizations are exploring unified software platforms that eliminate data silos while offering both flexibility and extensibility to safeguard their investments and streamline their diverse tools. Of course, development teams need to understand how their code behaves in production and whether any issues need to be fixed.

AWS 216

AWS Analytics Cloud Monitoring 216

Dynatrace

DECEMBER 13, 2023

That’s why many organizations are turning to generative AI—which uses its training data to create text, images, code, or other types of content that reflect its users’ natural language queries—and platform engineering to create new efficiencies and opportunities for innovation. No one will be around who fully understands the code.

Technology 200

Technology Technology Artificial Intelligence Analytics 200

Dynatrace

JUNE 28, 2022

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult. Dynatrace news.

Monitoring 197

Monitoring Software Software DevOps 197

Dynatrace

FEBRUARY 9, 2021

How do I connect the dots between mobile analytics and performance monitoring? Connect the dots between mobile analytics and performance monitoring with mobile business analytics. Connect the dots between mobile analytics and performance monitoring with mobile business analytics.

Analytics 203

Analytics Mobile Performance Monitoring 203

Dynatrace

FEBRUARY 1, 2024

From generating new code and boosting developer productivity to finding the root cause of performance issues with ease, the benefits of AI are numerous. 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.

Artificial Intelligence 182

Artificial Intelligence Analytics Efficiency Database 182

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 203

Artificial Intelligence DevOps Analytics Strategy 203

Dynatrace

NOVEMBER 17, 2020

Technical complexity has shifted from the actual code to the interdependencies between services. An effective solution to this problem must be able to handle scale, depth, breadth, and heterogeneity across the software lifecycle. FaaS like AWS Lambda and Azure Functions are seamlessly integrated with no code changes.

Analytics 154

Analytics Technology Technology Cloud 154

Dynatrace

FEBRUARY 26, 2024

The winning User Flow Analytics app by Andrea Caria of Spindox introduces a visual analysis of user navigation within web, mobile, or custom applications, presented through dynamic Sankey diagrams and funnels. The User Flow Analytics app was created to address real-life business challenges.

Innovation 194

Innovation Analytics Mobile Website 194

Dynatrace

MARCH 6, 2024

Platform engineering creates and manages a shared infrastructure and set of tools, such as internal developer platforms (IDPs) , to enable software developers to build, deploy, and operate applications more efficiently. As a result, teams can focus on writing code and building features rather than dealing with infrastructure nuances.

Engineering 237

Engineering Development DevOps Infrastructure 237

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 231

Best Practices Analytics Metrics Code 231

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. It goes beyond traditional monitoring—metrics, logs, and traces—to encompass topology mapping, code-level details, and user experience metrics that provide real-time insights.

DevOps 187

DevOps Engineering Artificial Intelligence Infrastructure 187

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 272

Efficiency Performance Analytics DevOps 272

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 242

AWS Analytics Government Monitoring 242

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 191

Programming Government Analytics Efficiency 191

Dynatrace

AUGUST 17, 2023

Some years ago, I worked closely with the Spring Framework team as a product manager at Pivotal Software. With these dependencies in place, we can import Micrometer instruments into our example application, as shown in this controller. Either way, the Dynatrace Micrometer Registry adds proper topology without modifying your code.

Metrics 194

Metrics Analytics Speed Java 194

ScaleOut Software

JULY 14, 2021

Whether it’s health-tracking watches, long-haul trucks, or security sensors, extracting value from these devices requires streaming analytics that can quickly make sense of the telemetry and intelligently react to handle an emerging issue or capture a new opportunity.

IoT 52

IoT Azure Analytics Serverless 52

Dynatrace

JULY 24, 2023

Teams use this data to identify, analyze, and fix coding errors, UX/UI design, microservices, and other technical issues to improve usability and provide a better digital customer experience. A simple example is the common action of filling out an online form. Examples include the following. Medical data.

Analytics 188

Analytics Website Mobile Internet 188

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 183

Cloud DevOps Open Source Retail 183

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 204

Artificial Intelligence Healthcare Retail Government 204

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

Dynatrace

FEBRUARY 12, 2024

The various presenters in this session aligned platform engineering use cases with the software development lifecycle. Configuration as code is easy to use, update, and understand. Standards are set by the platform engineers and ensured throughout all stages of the software development lifecycle.

Engineering 179

Engineering Development Infrastructure Cloud 179

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.

Analytics 147

Analytics Cloud Software Software 147

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 210

Government Innovation Open Source Traffic 210

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

JANUARY 31, 2020

Real-time digital twins offer a compelling new software model for tracking and analyzing telemetry from large numbers of data sources. This code often takes the form of a set of SQL queries (extended with time-windowing semantics) running continuously to select interesting events from the stream.

Analytics 59

Analytics Social Media Ecommerce Serverless 59

Dynatrace

JULY 24, 2023

For example, consider an e-commerce website that automatically sends personalized discount codes to customers who abandon their shopping carts. This event-driven automation triggers the action of sending the discount code only when the customer abandons the cart abandonment, minimizing revenue loss and increasing conversion rates.

DevOps 217

DevOps Traffic Efficiency Servers 217

Dynatrace

DECEMBER 21, 2023

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. And while these examples were resolved by just asking a few questions, in many cases, the answers are more elusive, requiring real-time and historical drill-downs into the processes and dependencies specific to each host.

Cloud 205

Cloud Energy Best Practices Cache 205