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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

Dynatrace OTLP support reduces complexity, provides context-awareness, and unlocks Davis ® insights. Dimensions like these are added automatically to OpenTelemetry metrics and traces, empowering Davis insights and root-cause problem detection. Apply relevant signals in context for exploratory analysis.

Analytics 282
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Prevent potential problems quickly and efficiently with Davis exploratory analysis

Dynatrace

With Davis , Dynatrace enables rapid MTTR for SRE and DevOps teams by identifying the path to the root causes of detected problems. Just one click to your preventive analysis. This is done by extending our Davis AI engine with a new capability that considers domain and topology knowledge.

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Extend business observability: Extract business events from online databases (Part 2)

Dynatrace

In part 1 of this blog series , we explored the concept of business observability, its significance, and how real-time visibility aids in making informed decisions. By utilizing a Davis analyzer, organizations can predict future trends and patterns in their payment and transaction data.

Database 271
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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. The same data model fuels Davis, the causational AI engine at the core of the Dynatrace platform.

Analytics 231
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Pioneering customer-centric pricing models: Decoding ingest-centric vs. answer-centric pricing

Dynatrace

Customers experience delayed time to value from the data they’re ingesting as they must take additional steps to make the data useful for troubleshooting and analysis, such as re-indexing. Customers find themselves confined to models that limit their ability to leverage the volume of data they possess for practical analysis.

Retail 238
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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

In this blog post, we will discuss some of these challenges and how to overcome them. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively? What are serverless applications? And serverless support is a core capability. Sign up for a free trial.

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Full support for Google’s Core Web Vitals improves your user experience and search rankings

Dynatrace

Dynatrace news. Particularly during the COVID-19 pandemic, we’ve seen how poor application performance can impact business bottom lines and lead to lost revenue for many organizations, as laid out in our recent blog post about digital experience. our previous blog posts on Core Web Vitals,?which?provide Note : Check out?our

Google 231