Dynatrace

OCTOBER 2, 2024

Davis AI contextually aligns all relevant data points—such as logs, traces, and metrics—enabling teams to act quickly and accurately while still providing power users with the flexibility and depth they desire and need. This is explained in detail in our blog post, Unlock log analytics: Seamless insights without writing queries.

Analytics 304

Analytics AWS DevOps Cloud 304

Dynatrace

OCTOBER 16, 2024

You can now: Kickstart your creation journey using ready-made dashboards Accelerate your data exploration with seamless integration between apps Start from scratch with the new Explore interface Search for known metrics from anywhere Let’s look at each of these paths through an end-to-end use case focused on Kubernetes monitoring.

Social Media 263

Social Media Metrics Network Analytics 263

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 286

Analytics Metrics Servers Best Practices 286

Dynatrace

MARCH 5, 2025

To continue down the carbon reduction path, IT leaders must drive carbon optimization initiatives into the hands of IT operations teams, arming them with the tools needed to support analytics and optimization. We implemented a wasted energy metric in the app to enhance practitioner actionability.

Energy 223

Energy Analytics Traffic Cloud 223

Dynatrace

MAY 28, 2024

What about correlated trace data, host metrics, real-time vulnerability scanning results, or log messages captured just before an incident occurs? Dynatrace automatically puts logs into context Dynatrace Log Management and Analytics directly addresses these challenges. This context is vital to understanding issues.

Analytics 267

Analytics Infrastructure Database Cloud 267

Dynatrace

DECEMBER 18, 2024

Exploratory analytics now cover more bespoke scenarios, allowing you to access any element of test results stored in the Dynatrace Grail data lakehouse. Select any execution you’re interested in to display its details, for example, the content response body, its headers, and related metrics.

Monitoring 246

Monitoring Testing Metrics Analytics 246

Dynatrace

AUGUST 29, 2024

As businesses increasingly embrace these technologies, integrating IoT metrics with advanced observability solutions like Dynatrace becomes essential to gaining additional business value through end-to-end observability. Both methods allow you to ingest and process raw data and metrics.

IoT 264

IoT Analytics Transportation Metrics 264

Dynatrace

FEBRUARY 28, 2024

Increasingly, organizations seek to address these problems using AI techniques as part of their exploratory data analytics practices. The next challenge is harnessing additional AI techniques to make exploratory data analytics even easier. Start by asking yourself what’s there, whether it’s logs, metrics, or traces.

Analytics 246

Analytics Metrics Media Monitoring 246

Dynatrace

NOVEMBER 15, 2022

Following the launch of Dynatrace® Grail for Log Management and Analytics , we’re excited to announce a major update to our Business Analytics solution. Leveraging existing APM agent and log monitoring capabilities made it reasonably easy to access certain business metrics and metadata to add to IT dashboards.

Analytics 264

Analytics Mobile Metrics Games 264

Dynatrace

OCTOBER 30, 2023

By following key log analytics and log management best practices, teams can get more business value from their data. Challenges driving the need for log analytics and log management best practices As organizations undergo digital transformation and adopt more cloud computing techniques, data volume is proliferating.

Best Practices 290

Best Practices Analytics Artificial Intelligence Infrastructure 290

Dynatrace

JANUARY 21, 2025

Chances are, youre a seasoned expert who visualizes meticulously identified key metrics across several sophisticated charts. This is where Davis AI for exploratory analytics can make all the difference. Your trained eye can interpret them at a glance, a skill that sets you apart.

Traffic 262

Traffic Metrics Analytics Monitoring 262

Dynatrace

NOVEMBER 20, 2024

They can automatically identify vulnerabilities, measure risks, and leverage advanced analytics and automation to mitigate issues. Using high-fidelity metrics, traces, logs, and user data mapped to a unified entity model, organizations enjoy enhanced automation and broader, deeper security insights into modern cloud environments.

Best Practices 299

Best Practices Innovation Azure Cloud 299

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 246

Analytics Social Media Website IoT 246

Dynatrace

NOVEMBER 18, 2024

With Dynatrace, customers can utilize the full set of Azure capabilities, including metrics and data from the Azure platform, and automatically identify workflow optimization opportunities. By prioritizing observability, organizations can ensure the availability, performance, and security of business-critical applications.

Cloud 263

Cloud Azure Artificial Intelligence Innovation 263

Dynatrace

OCTOBER 1, 2021

In IT and cloud computing, observability is the ability to measure a system’s current state based on the data it generates, such as logs, metrics, and traces. If you’ve read about observability, you likely know that collecting the measurements of logs, metrics, and distributed traces are the three key pillars to achieving success.

Metrics 363

Metrics Open Source Monitoring Cloud 363

Dynatrace

AUGUST 20, 2024

Information related to user experience, transaction parameters, and business process parameters has been an unretrieved treasure, now accessible through new and unique AI-powered contextual analytics in Dynatrace. Executives drive business growth through strategic decisions, relying on data analytics for crucial insights.

Analytics 285

Analytics Latency Processing Systems 285

Dynatrace

MAY 5, 2021

In fact, for most of us, has become a priority, requiring us to expand our focus on observability to include business analytics metrics. With Dynatrace Business Analytics , you know in real-time when business KPIs–conversions, quotes, payments, registrations, purchases, etc.–degrade. Below is the survey summary.

Analytics 246

Analytics Metrics Engineering Design 246

Dynatrace

SEPTEMBER 1, 2022

Business analytics is a growing science that’s rising to meet the demands of data-driven decision making within enterprises. To measure service quality, IT teams monitor infrastructure, applications, and user experience metrics, which in turn often support service level objectives (SLO)s. What is business analytics?

Analytics 245

Analytics Ecommerce Metrics Innovation 245

Dynatrace

JANUARY 12, 2022

We’ve introduced brand-new analytics capabilities by building on top of existing features for messaging systems. With other products, we had to make guesses about the impacted services based solely on metrics”. The additional node and cluster metrics help you understand your entire RabbitMQ deployment, not just a specific queue.

Analytics 246

Analytics Systems DevOps Healthcare 246

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. What is log analytics? Log analytics is the process of evaluating and interpreting log data so teams can quickly detect and resolve issues.

Analytics 264

Analytics Monitoring DevOps Artificial Intelligence 264

Dynatrace

OCTOBER 4, 2022

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. Current analytics tools are fragmented and lack context for meaningful analysis. Effective analytics with the Dynatrace Query Language.

Analytics 264

Analytics Artificial Intelligence Storage Serverless 264

Dynatrace

OCTOBER 4, 2022

The only way to address these challenges is through observability data — logs, metrics, and traces. IT pros want a data and analytics solution that doesn’t require tradeoffs between speed, scale, and cost. The next frontier: Data and analytics-centric software intelligence. Enter Grail-powered data and analytics.

Analytics 246

Analytics Software Software Storage 246

Dynatrace

JULY 29, 2021

The result is that IT teams must often contend with metrics, logs, and traces that aren’t relevant to organizational business objectives—their challenge is to translate such unstructured data into actionable business insights. Dynatrace extends its unique topology-based analytics and AIOps approach.

Analytics 246

Analytics Open Source Serverless Architecture 246

Dynatrace

FEBRUARY 16, 2023

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. 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.

Analytics 246

Analytics Innovation Metrics Database 246

Dynatrace

SEPTEMBER 27, 2023

What is customer experience analytics: Fostering data-driven decision making In today’s customer-centric business landscape, understanding customer behavior and preferences is crucial for success. The data should cover both quantitative metrics (e.g., Embrace advanced analytics techniques to unlock deeper insights.

Best Practices 264

Best Practices Analytics Strategy Monitoring 264

Dynatrace

AUGUST 9, 2023

A traditional log-based SIEM approach to security analytics may have served organizations well in simpler on-premises environments. As our experience with MOVEit shows, IoCs that remained hidden in logs alone quickly revealed themselves with observability runtime context data, such as metrics, traces, and spans.

Analytics 246

Analytics Metrics Database Storage 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 246

Analytics Storage Retail DevOps 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 245

Analytics Storage Retail DevOps 245

Dynatrace

JANUARY 12, 2021

In Part 1 we explored how you can use the Davis AI to analyze your StatsD metrics. In Part 2 we showed how you can run multidimensional analysis for external metrics that are ingested via the OneAgent Metric API. In Part 3 we discussed how the Davis AI can analyze your metrics from scripting languages like Bash or PowerShell.

Metrics 257

Metrics Open Source Monitoring Analytics 257

Dynatrace

MAY 1, 2023

With 99% of organizations using multicloud environments , effectively monitoring cloud operations with AI-driven analytics and automation is critical. IT operations analytics (ITOA) with artificial intelligence (AI) capabilities supports faster cloud deployment of digital products and services and trusted business insights.

Analytics 246

Analytics Artificial Intelligence Big Data Open Source 246

Dynatrace

JANUARY 22, 2025

This data covers all aspects of CI/CD activity, from workflow executions to runner performance and cost metrics. This customization ensures that only the relevant metrics are extracted, tailored to the users needs. This customization ensures that only the relevant metrics are extracted, tailored to the users needs.

Monitoring 242

Monitoring DevOps Metrics Virtualization 242

Dynatrace

MARCH 11, 2025

The Dynatrace platform now enables comprehensive data exploration and interactive analytics across data sets (trace, logs, events, and metrics)empowering you to solve complex use cases, handle any observability scenario, and gain unprecedented visibility into your systems.

Analytics 165

Analytics Games Innovation Metrics 165

Dynatrace

APRIL 9, 2025

Starting in May, selected customers will get to experience all the latest Dynatrace platform features, including the Grail data lakehouse, Davis AI, and unrivaled log analytics, on Google Cloud. Thats why Dynatrace will make its AI-powered, unified observability platform generally available on Google Cloud for all customers later this year.

Google 195

Google Cloud Analytics Infrastructure 195

Dynatrace

NOVEMBER 18, 2021

Manual and configuration-heavy approaches to putting telemetry data into context and connecting metrics, traces, and logs simply don’t scale. By unifying log analytics with PurePath tracing, Dynatrace is now able to automatically connect monitored logs with PurePath distributed traces. New to Dynatrace? Start your free trial!

Analytics 246

Analytics Cloud Java Serverless 246

Dynatrace

AUGUST 2, 2021

Metrics matter. But without complex analytics to make sense of them in context, metrics are often too raw to be useful on their own. To achieve relevant insights, raw metrics typically need to be processed through filtering, aggregation, or arithmetic operations. Examples of metric calculations. Dynatrace news.

Metrics 246

Metrics Analytics Google Code 246

Dynatrace

OCTOBER 10, 2024

Dynatrace unified analytics capabilities for observability are top-of-the-class ( Gartner Magic Quadrant 2024 ), enabling you to query and analyze all your observability data across your enterprise. That way, you can compare multiple charts more easily, regardless of the metric or time span.

Latency 246

Latency Infrastructure Monitoring Metrics 246

Dynatrace

MARCH 29, 2023

With this Google Cloud Ready integration, Dynatrace ensures that AlloyDB for PostgreSQL users can now ingest metrics along with existing Google Cloud data. The post Dynatrace announces support of Google Cloud’s AlloyDB for PostgreSQL metrics ingest appeared first on Dynatrace news.

Google 246

Google Metrics Cloud Analytics 246