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Dynatrace simplifies OpenTelemetry metric collection for context-aware AI analytics

Dynatrace

Code changes are often required to refine observability data. This results in site reliability engineers nudging development teams to add resource attributes, endpoints, and tokens to their source code. The missed SLO can be analytically explored and improved using Davis insights on an out-of-the-box Kubernetes workload overview.

Analytics 280
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Unlock end-to-end observability insights with Dynatrace PurePath 4 seamless integration of OpenTracing for Java

Dynatrace

Cloud-native technologies and microservice architectures have shifted technical complexity from the source code of services to the interconnections between services. Deep-code execution details. Dynatrace news. Observability for heterogeneous cloud-native technologies is key. Always-on profiling in transaction context.

Java 234
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Dynatrace and Red Hat expand enterprise observability to edge computing

Dynatrace

As an example, many retailers already leverage containerized workloads in-store to enhance customer experiences using video analytics or streamline inventory management using RFID tracking for improved security. In this case, Davis finds that a Java Spring Micrometer metric called Failed deliveries is highly correlated with CPU spikes.

Retail 259
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How a data lakehouse brings data insights to life

Dynatrace

These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues. Further, these resources support countless Kubernetes clusters and Java-based architectures. where an error occurred at the code level.

Analytics 221
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Best of breed observability with Spring Micrometer and Dynatrace

Dynatrace

OneAgent also provides Spring Micrometer metrics with best-in-class distributed tracing, plus memory and garbage collector analysis for Spring Java applications and microservices. Either way, the Dynatrace Micrometer Registry adds proper topology without modifying your code. Notice that the page is Kubernetes-centric.

Metrics 198
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Black Hat 2023: Pairing causal AI and generative AI for cybersecurity threats

Dynatrace

Developers use generative AI to find errors in code and automatically document their code. They can also use generative AI for cybersecurity, write prototype code, and implement complex software systems. As security teams seek to understand malicious events, the importance of unified observability in context compounds.

DevOps 185
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Understand and replay Android app crashes with Session Replay

Dynatrace

If you want an improved playback experience, we recommend that you capture custom events through the Session Replay API. Another nifty Session Replay feature is the ability to capture custom eventsevents that are not typically captured by default—irrespective of whether the codebase is Java or Kotlin. Get started.