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Dynatrace, a leading AI-powered observability platform, has unveiled advanced AI-driven log analytics features to tackle the challenges posed by traditional log management systems. These legacy systems often function in isolation from current monitoring tools, leading to operational delays, increased expenses, and potential security risks. Dynatrace’s enhanced log analytics offer several key innovations to address these issues:
Davis® AI Integration: The robust Davis AI engine offers immediate insights into log data, simplifying complex analytics tasks for teams across the organization. Users can employ natural language to formulate queries, design dashboards, and produce reports.
Natural Language Interface: This user-friendly interface removes the necessity for specialized query languages, making log analytics accessible to various teams through intuitive search and filtering features. This enables more users to analyze log data without extensive training.
OpenPipeline Technology: Teams can automatically enrich ingested logs with essential IT context, such as Kubernetes environment specifics, facilitating quicker data comprehension and more effective analysis. Logs can be converted into metrics or business events, easing integration with dashboards and analytics tools for real-time insights. Pre-processing of common technologies allows for swift searches and filtering, delivering prompt solutions to critical business requirements.
Simplified Pricing Model: A new pricing structure that includes queries assists organizations in better forecasting annual expenses and scaling their log management efforts efficiently, especially for high-query scenarios. This approach removes the need for manual query usage monitoring for cost management.
The demand among enterprise clients to incorporate log analytics into their existing observability strategies is at an all-time high. Over 1,000 customers currently utilize Dynatrace Logs solutions, with more than half of the new customers onboarded in the past year already leveraging log analytics.
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A recent Gartner® report emphasizes the importance of monitoring and analysis for comprehending modern IT systems. It notes that traditional manual methods are inadequate for today’s complex environments. A streamlined approach, such as employing a telemetry pipeline, can simplify data extraction, processing, and analysis, offering valuable insights for effective decision-making while managing costs.
“Dynatrace’s continuous evolution and innovation have allowed us to improve the way we analyze our data,” said Diego Enciso, Observability Specialist at NEQUI. “Its log analytics solution not only optimizes error detection but also helps us prevent fraud and gain valuable insights for strategic decision-making. With this capability, we have strengthened the security and efficiency of our operations.”
“I am passionate about the value that correlated data insights provide and I am excited to build innovative solutions that empower our customers to drive better business outcomes,” said Mala Pillutla, Vice President, Log Management at Dynatrace. “Organizations today face the challenge of managing a multitude of monitoring tools, resulting in fragmented and often conflicting insights across their critical infrastructure and applications. By providing integrated log management with in-context analytics, we enable our customers to transform data into actionable insights that help build resilience and reliability of their most critical digital assets.”
