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Dynatrace Introduces New AI-Powered Log Analytics Capabilities

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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Dynatrace Introduces New AI-Powered Log Analytics Capabilities

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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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...