Dynatrace

JULY 29, 2021

With extended contextual analytics and AIOps for open observability, Dynatrace now provides you with deep insights into every entity in your IT landscape, enabling you to seamlessly integrate metrics, logs, and traces—the three pillars of observability. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

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 180

Analytics Storage Retail Monitoring 180

Dynatrace

AUGUST 14, 2020

Many enterprise digital marketing teams use the best-in-class web analytics solutions like Adobe Analytics to see which users are abandon ing their journey , how paid search and email campaigns are performing, and to understand user behavior. Real-world example: Retail banking. Dynatrace news.

Analytics 264

Analytics Cloud Retail Monitoring 264

Dynatrace

JUNE 28, 2022

Mobile analytics can help organizations optimize their mobile application performance, earning customer accolades and increasing revenue in the process. Learn how one Dynatrace customer leveraged mobile analytics to ensure a crash-free, five-star mobile application. Add instrumentation and validate incoming mobile analytics data.

Mobile 210

Mobile Analytics Best Practices Software Engineering 210

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 178

Mobile Analytics Monitoring Best Practices 178

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. Take the example of Amazon Virtual Private Cloud (VPC) flow logs, which provide insights into the IP traffic of your network interfaces.

Cloud 250

Cloud Lambda AWS Analytics 250

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 194

Analytics Retail Metrics Mobile 194

DZone

JANUARY 22, 2024

In the context of inventory management, integrating AI analytics involves leveraging advanced algorithms and models to gain insights, make predictions, or automate decision-making. Let's enhance the example with an illustrative AI analytics scenario.

Analytics 266

Analytics 266

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

DZone

OCTOBER 24, 2023

Valuable insights are often buried across massive, complex datasets too large and unwieldy for traditional analytics tools to handle. SQream offers a purpose-built solution to help companies fully harness all their data to drive unprecedented speed and scale in analytics.

Analytics 278

Analytics Speed 278

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 234

Cloud Analytics Monitoring Scalability 234

DZone

MAY 19, 2023

Examples of logs include business logs (such as user activity logs) and Operation and Maintenance logs of servers, databases, and network or IoT devices. Logs often take up the majority of a company's data assets. Logs are the guardian angel of business.

IoT 130

IoT Analytics Network Database 130

Dynatrace

APRIL 28, 2023

Customers must comply with internal and external policies and regulations that might demand them to keep specific data stored for a minimum period of time (for example, audit logs). For example, suppose data has to be retained for a longer period because of legal or business reasons.

Analytics 212

Analytics Storage Infrastructure Metrics 212

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

DECEMBER 21, 2023

Business process monitoring examples: A retail use case It can be helpful to put business processes in the context of a specific type of business or industry. Traditional approaches to business process monitoring must evolve to provide the end-to-end visibility, IT context, and timeliness that organizations need.

Processing 211

Processing Monitoring Retail Analytics 211

Dynatrace

AUGUST 25, 2023

It makes them available for a log analytics platform to gain automated, contextual, and actionable insights into the services and underlying platforms. Gain log visibility within Kubernetes workloads: a practical example Dynatrace provides out-of-the-box alerting for K8s clusters and workloads by leveraging Dynatrace Davis® AI.

Serverless 221

Serverless Analytics AWS Azure 221

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 135

Analytics Cloud Healthcare Retail 135

Dynatrace

FEBRUARY 1, 2024

By packaging [these capabilities] into hypermodal AI, we are able to run deep custom analytics use cases in sixty seconds or less.” Performance analytics Dynatrace hypermodal AI empowers development teams to dig deep into database statements and remediate issues quickly. But contextual analytics don’t stop here. “AI

Artificial Intelligence 184

Artificial Intelligence Analytics Efficiency Database 184

Dynatrace

MARCH 27, 2024

Customers can then ingest logs from AWS into the Dynatrace® platform, for in-depth log management and security analytics powered by Grail TM. For example, some SaaS applications include the user’s IP Address and Country on their audit logs. 16) our company users access the internet from.

AWS 244

AWS Analytics Government Monitoring 244

Dynatrace

JANUARY 18, 2023

Business events are a special class of events, new to Business Analytics; together with Grail, our data lakehouse, they provide the precision and advanced analytics capabilities required by your most important business use cases. This diagram shows a few examples of business events. Example business events from anywhere.

Analytics 226

Analytics Retail Storage Monitoring 226

DZone

SEPTEMBER 26, 2023

We'll talk about best practices and habits and use some of the Log Analytics tools from Sumo Logic as examples. In this article, we’re going to take a look at how logging can help you make sense of your log data without much effort. Let’s blast off and turn that cosmic trash into treasure!

Best Practices 249

Best Practices Analytics Infrastructure Network 249

Dynatrace

SEPTEMBER 5, 2023

By analyzing patterns and trends, predictive analytics helps identify potential issues or opportunities, enabling proactive actions to prevent problems or capitalize on advantageous situations. Through predictive analytics, SREs and DevOps engineers can accurately forecast resource needs based on historical data.

Artificial Intelligence 262

Artificial Intelligence DevOps Analytics Engineering 262

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

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

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 233

Best Practices Analytics Metrics Code 233

Dynatrace

OCTOBER 17, 2023

Data, AI, analytics, and automation are key enablers for efficient IT operations Data is the foundation for AI and IT automation. The data is stored with full context, which enables AI to deliver precise answers with speed and analytics to give rich insights with efficiency. 5) in the Gartner report.

Monitoring 224

Monitoring Artificial Intelligence Performance Analytics 224

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. As they continue on this path, organizations expect other benefits , from enabling business users to easily customize dashboards (54%) to building interactive queries for analytics (48%).

Artificial Intelligence 205

Artificial Intelligence DevOps Analytics Strategy 205

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

NOVEMBER 6, 2023

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. Remote management and automated alerting are, therefore, crucial. Try it out with a free trial.

Retail 257

Retail Analytics Storage Cloud 257

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

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 274

Efficiency Performance Analytics DevOps 274

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 201

Technology Technology Artificial Intelligence Analytics 201

Dynatrace

APRIL 13, 2023

for example, query web server logs from the past year for specific attack strings containing ). for example, query topology to cross reference entity information to narrow down attacked services to those that are running Java) To what extent could we be compromised? for example, what was the payload on these outgoing connections?)

Analytics 183

Analytics Java Infrastructure Cloud 183

Dynatrace

APRIL 17, 2024

Figure 1: The team behind “Building custom apps with AppEngine” HOT class: Building apps with Dynatrace AppEngine As this class name implies, we guided attendees through the journey of building a Dynatrace app with a code-along example app.

Development 176

Development Performance Airlines Healthcare 176

Dynatrace

FEBRUARY 9, 2024

Let’s examine a few practical business process monitoring examples. Order fulfillment In this example, an e-commerce company wants to track its order fulfillment business process. The event source determines the configuration steps; see our business analytics documentation for details.

Processing 188

Processing Monitoring Analytics Games 188

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 190

Analytics Website Mobile Internet 190

Dynatrace

AUGUST 10, 2023

Extend business observability to data at rest In our past blog post about business agility, we looked at a retail sales use case example to investigate potential causes of underperforming store locations. In both examples, we used Dynatrace OneAgent® deep payload inspection to capture business data in motion.

Database 225

Database Metrics Retail Analytics 225