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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. Thus, measuring application performance becomes an unnecessarily frustrating coordination effort between teams.

Analytics 276
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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

focused on technology coverage, building on the flexibility of JMX for Java and Python-based coded extensions for everything else. While Python code can address most data acquisition and ingest requirements, it comes at the cost of complexity in implementation and use-case modeling. Dynatrace Extensions 1.0 Extensions 2.0

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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. But as the Black Hat 2023 agenda indicates, generative AI also introduces new security risks.

DevOps 182
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Enhanced AI model observability with Dynatrace and Traceloop OpenLLMetry

Dynatrace

Utilizing an additional OpenTelemetry SDK layer, this data seamlessly flows into the Dynatrace environment, offering advanced analytics and a holistic view of the AI deployment stack. The open source OpenLLMetry SDK, built atop OpenTelemetry, enables thorough insights into your Large Language Model (LLM) applications.

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How a data lakehouse brings data insights to life

Dynatrace

Logs assist operations, security, and development teams in ensuring the reliability and performance of application environments. These traditional approaches to log monitoring and log analytics thwart IT teams’ goal to address infrastructure performance problems, security threats, and user experience issues.

Analytics 217
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OpenTelemetry enables automated operations management at scale

Dynatrace

The arrival of the OpenTelemetry initiative is timely, as development teams are increasingly becoming active in monitoring and observability efforts to accelerate release times and simplify management. Development teams like to use their favorite tools, but instrumenting every single one can quickly become impractical.

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Dynatrace leverages new AWS Lambda extensions for seamless end-to-end observability

Dynatrace

AWS Lambda is the fastest growing technology for serverless workloads and helps developers innovate faster. Dynatrace provides automatic and intelligent observability without touching any code through auto-instrumentation, thereby helping you to better understand potential issues that may impact your end users’ experience.

Lambda 295