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Unlock log analytics: Seamless insights without writing queries

Dynatrace

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 176
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Business analytics tools: Use cases and best practices for IT business analytics

Dynatrace

Leveraging business analytics tools helps ensure their experience is zero-friction–a critical facet of business success. How do business analytics tools work? IT teams have traditionally relied on internal metrics to estimate business impact. While analytics are one challenge, there remains another: silos.

Analytics 179
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Intelligent, context-aware AI analytics for all your custom metrics

Dynatrace

Dynatrace recently opened up the enterprise-grade functionalities of Dynatrace OneAgent to all the data needed for observability, including metrics, events, logs, traces, and topology data. Davis topology-aware anomaly detection and alerting for your custom metrics. Seamlessly report and be alerted on topology-related custom metrics.

Metrics 246
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Expanded Grail data lakehouse and new Dynatrace user experience unlock boundless analytics

Dynatrace

Grail – the foundation of exploratory analytics Grail can already store and process log and business events. Now we’re adding Smartscape to DQL and two new data sources to Grail: Metrics on Grail and Traces on Grail. With Dynatrace and Smartscape for DQL, metrics are a completely different game.

Analytics 235
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DYOC: Agentless RUM, OpenKit, Metric ingest, and Business Analytics

Dynatrace

At Dynatrace we live and breathe the concept of “Drink Your Own Champagne” (DYOC), so of course, I want to use Dynatrace to monitor my apps. Agentless RUM, OpenKit, and Metric ingest to the rescue! Now we have performance and errors all covered: Business Analytics. Digital Business Analytics can help answer those questions.

Analytics 137
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Dynatrace OpenPipeline: Stream processing data ingestion converges observability, security, and business data at massive scale for analytics and automation in context

Dynatrace

With siloed data sources, heterogeneous data types—including metrics, traces, logs, user behavior, business events, vulnerabilities, threats, lifecycle events, and more—and increasing tool sprawl, it’s next to impossible to offer users real-time access to data in a unified, contextualized view. Understanding the context.

Analytics 198
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Digital Business Analytics: Let’s get started!

Dynatrace

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 209