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From syslog to AWS Firehose: Dynatrace log management innovations that enhance observability

Dynatrace

We’re excited to announce several log management innovations, including native support for Syslog messages, seamless integration with AWS Firehose, an agentless approach using Kubernetes Platform Monitoring solution with Fluent Bit, a new out-of-the-box ingest dashboard, and OpenPipeline ingest improvements.

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Effective Log Data Analysis With Amazon CloudWatch: Harnessing Machine Learning

DZone

Logs can include a wide variety of data, including system events, transaction data, user activities, web browser logs, errors, and performance metrics. This innovative service is transforming the way organizations handle their log data. This innovative service is transforming the way organizations handle their log data.

Analytics 278
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Dynatrace joins the Microsoft Intelligent Security Association

Dynatrace

This enables Dynatrace customers to achieve faster time-to-value and accelerate innovation. As a MISA member, we look forward to collaborating with Microsoft and other members to develop best practices, share insights, and drive innovation in cloud-native security. Runtime vulnerability analysis.

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Dynatrace innovates again with the release of topology-driven auto-adaptive metric baselines

Dynatrace

With the advent and ingestion of thousands of custom metrics into Dynatrace, we’ve once again pushed the boundaries of automatic, AI-based root cause analysis with the introduction of auto-adaptive baselines as a foundational concept for Dynatrace topology-driven timeseries measurements. Custom log metrics.

Metrics 222
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Financial services IT leaders can boost customer lifetime value with DevSecOps-driven innovation

Dynatrace

Customer lifetime value (CLV) has long been established as the key metric financial services firms use to gauge their profitability and competitive position in the market. The growing demand for rapid innovation is worsened by the ongoing skills shortages. This puts sensitive customer and transactional information at risk.

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Accelerating innovation with Kubernetes and Dynatrace

Dynatrace

When it comes to observing Kubernetes environments, your approach must be rooted in metrics, logs, and traces —and also the context in which things happen and their impact on users. This will provide teams insights from extended log streams for enriched root-cause analysis. Get your free eBook now!

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Data lakehouse innovations advance the three pillars of observability for more collaborative analytics

Dynatrace

The short answer: The three pillars of observability—logs, metrics, and traces—converging on a data lakehouse. You’re getting all the architectural benefits of Grail—the petabytes, the cardinality—with this implementation,” including the three pillars of observability: logs, metrics, and traces in context.

Analytics 198