Dynatrace announced new AI-powered log analytics capabilities to address the growing challenges organizations face with legacy log management solutions.
Dynatrace, with its enhanced log analytics capabilities and streamlined approach, delivers several key innovations:
- Davis® AI Integration: The powerful Dynatrace AI engine, Davis AI, provides instant explanations of log content, making complex analytics tasks more accessible to teams across the organization. Users can use natural language to create queries, build dashboards, and generate reports.
- Natural Language Interface: A streamlined interface eliminates the need for specialized query languages, democratizing log analytics across teams through intuitive search and filtering capabilities. This empowers more users to access and analyze log data without extensive training.
- OpenPipeline Technology: Enables teams to automatically enrich ingested logs with crucial IT context, such as Kubernetes environment details, to drive faster data understanding and more effective analysis. Logs are easily transformed into metrics or business events, streamlining integration with dashboards and analytics tools for real-time insights. Teams can pre-process common technologies, making it easier to search and filter information quickly, providing faster answers to critical business needs.
- New Simplified Pricing Model: A new queries-included pricing structure helps organizations better predict annual costs and quickly scale their log management initiatives, particularly for high-query use cases. This eliminates the need to manually monitor query usage for cost control.
“I am passionate about the value that correlated data insights provides 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.”
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