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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.

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How platform engineering and IDP observability can accelerate developer velocity

Dynatrace

During a breakout session at the Dynatrace Perform 2024 conference, Dynatrace DevSecOps activist Andreas Grabner and staff engineer Adam Gardner demonstrated how to use observability to monitor an IDP for key performance indicators (KPIs). Furthermore, OneAgent observes and gathers all remaining workload logs, metrics, traces, and events.

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Automating Success: Building a better developer experience with platform engineering

Dynatrace

At the 2024 Dynatrace Perform conference in Las Vegas, Michael Winkler, senior principal product management at Dynatrace, ran a technical session exploring just some of the many ways in which Dynatrace helps to automate the processes around development, releases, and operation.

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AWS Re:Invent 2021 guide: Multicloud modernization and digital transformation

Dynatrace

In fact, IT analyst Gartner found that 30% of enterprises implementing distributed system architectures will have adopted observability techniques by 2024, up from less than 10% in 2020. Not just logs, metrics and traces. Dynatrace extends contextual analytics and AIOps for open observability. 9 key DevOps metrics for success.

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