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Automatic connection of logs and traces accelerates AI-driven cloud analytics

Dynatrace

Cloud-native observability is a prerequisite for companies that need to meet these expectations. Log entries related to individual transactions can be spread across multiple microservices or serverless workloads. This provides a holistic view, advanced analytics, and AI-powered answers for cloud optimization and troubleshooting.

Analytics 229
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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. Simplify error analytics.

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IT teams seek observability for, and control over, serverless architecture

Dynatrace

Key takeaways from this article on modern observability for serverless architecture: As digital transformation accelerates, organizations need to innovate faster and continually deliver value to customers. Companies often turn to serverless architecture to accelerate modernization efforts while simplifying IT management.

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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. across hybrid and multi-cloud environments?. Actionable analytics across the?entire Serverless can accelerate innovation (and introduce blind spots). Dynatrace news.

Lambda 214
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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. Modern IT environments — whether multicloud, on-premises, or hybrid-cloud architectures — generate exponentially increasing data volumes.

Analytics 240
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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

Following the innovation of microservices, serverless computing is the next step in the evolution of how applications are built in the cloud. Serverless computing is a computing model that “allows you to build and run applications and services without thinking about servers.”. Simplify error analytics.

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AWS observability: AWS monitoring best practices for resiliency

Dynatrace

Visibility into system activity and behavior has become increasingly critical given organizations’ widespread use of Amazon Web Services (AWS) and other serverless platforms. These resources generate vast amounts of data in various locations, including containers, which can be virtual and ephemeral, thus more difficult to monitor.