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OpenPipeline: Simplify access to critical business data

Dynatrace

There’s a goldmine of business data traversing your IT systems, yet most of it remains untapped. To unlock business value, the data must be: Accessible from anywhere. Data has value only when you can access it, no matter where it lies. Agile business decisions rely on fresh data. Easy to access. Contextualized.

Analytics 241
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Reliability indicators that matter to your business: SLOs for all data types

Dynatrace

To provide maximum freedom in selecting the service-level indicators that matter most to your business, Dynatrace combines SLOs with the power of Dynatrace Grail™ data lakehouse, the central data platform with heterogeneous and contextually linked data. This is where Grail, the Dynatrace central data platform, excels.

Metrics 277
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Transform data into insights with Dynatrace Dashboards and Notebooks

Dynatrace

When we launched the new Dynatrace experience, we introduced major updates to the platform, including Grail ™, our innovative data lakehouse unifying observability, security, and business data, and Dynatrace Query Language ( DQL ) for accessing and exploring unified data.

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Dynatrace Observability for Developers saves time with real-time data

Dynatrace

It packages the existing Dynatrace capabilities needed by developers in their day-to-day worksuch as logs, distributed traces, profiling data, exceptions, and more. Dashboards are a great tool for gaining real-time insights into applications by transforming complex data into dynamic, interactive visualizations.

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Demo: Transform OpenTelemetry data into actionable insights with the Dynatrace Distributed Tracing app

Dynatrace

In this blog post, we’ll walk you through a hands-on demo that showcases how the Distributed Tracing app transforms raw OpenTelemetry data into actionable insights Set up the Demo To run this demo yourself, you’ll need the following: A Dynatrace tenant. If you don’t have one, you can use a trial account.

Metrics 246
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Data Mesh?—?A Data Movement and Processing Platform @ Netflix

The Netflix TechBlog

Data Mesh?—?A A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A Last year we wrote a blog post about how Data Mesh helped our Studio team enable data movement use cases.

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Dynatrace on Microsoft Azure in Australia enables regional customers to leverage AI-powered observability

Dynatrace

As modern multicloud environments become more distributed and complex, having real-time insights into applications and infrastructure while keeping data residency in local markets is crucial. Dynatrace on Microsoft Azure allows enterprises to streamline deployment, gain critical insights, and automate manual processes. The result?

Azure 278