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Any analysis, any time: Dynatrace Log Management and Analytics powered by Grail

Dynatrace

Log management and analytics is an essential part of any organization’s infrastructure, and it’s no secret the industry has suffered from a shortage of innovation for several years. The number and variety of applications, network devices, serverless functions, and ephemeral containers grows continuously.

Analytics 227
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Dynatrace extends contextual analytics and AIOps for open observability

Dynatrace

With extended contextual analytics and AIOps for open observability, Dynatrace now provides you with deep insights into every entity in your IT landscape, enabling you to seamlessly integrate metrics, logs, and traces—the three pillars of observability. How can we optimize for performance and scalability?

Analytics 245
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Dynatrace extends distributed tracing for serverless on AWS Lambda (GA)?

Dynatrace

With our enhanced AWS Lambda extension , we bring the power of Dynatrace PurePath 4 automatic tracing technology to serverless function observability. Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). Dynatrace news. AI-powered answers, provided by?Dynatrace entire stack,?including

Lambda 202
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New analytics capabilities for messaging system-related anomalies

Dynatrace

Messaging systems can significantly improve the reliability, performance, and scalability of the communication processes between applications and services. In serverless and microservices architectures, messaging systems are often used to build asynchronous service-to-service communication. New to Dynatrace?

Analytics 180
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Complete Kubernetes observability with logs in topology context

Dynatrace

Kubernetes workload management is easier with a centralized observability platform When deploying applications with Kubernetes, the configuration is flexible and declarative, allowing for scalability. Service ownership details In addition, Dynatrace offers powerful log analytics in the Dynatrace Log Viewer.

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Dynatrace supports the newly released AWS Lambda Response Streaming

Dynatrace

Streaming raises the default 6 MB hard limit to a 20 MB soft limit, adding greater scalability and flexibility to their applications. What is a Lambda serverless function? Despite being serverless, the function still requires infrastructure on which to run.

Lambda 208
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Dynatrace supports SnapStart for Lambda as an AWS launch partner

Dynatrace

Lambda serverless functions help developers innovate faster, scale easier, and reduce operational overhead, removing the burden of managing underlying infrastructure when updating and deploying code. Most enterprises use serverless functions as part of a broader hybrid environment, covering both cloud and traditional technologies.

Lambda 218