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Build and operate multicloud FaaS with enhanced, intelligent end-to-end observability

Dynatrace

For example, to handle traffic spikes and pay only for what they use. Scale automatically based on the demand and traffic patterns. Data analysis : how to process, aggregate and query observability data from serverless functions effectively, accurately, and comprehensively? Such anomalies can be caused by function cold-starts.

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Dynatrace simplifies StatsD, Telegraf, and Prometheus observability with Davis AI

Dynatrace

Open-source metric sources automatically map to our Smartscape model for AI analytics. Stay tuned for an upcoming blog series where we’ll give you a more hands-on walkthrough of how to ingest any kind of data from StatsD, Telegraf, Prometheus, scripting languages, or our integrated REST API. Davis AI analyzes your StatsD metrics.

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How digital experience monitoring helps deliver business observability

Dynatrace

STM generates traffic that replicates the typical path or behavior of a user on a network to measure performance for example, response times, availability, packet loss, latency, jitter, and other variables). How automatic and intelligent AIOps makes DEM and business observability possible.

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Best practices for alerting

Dynatrace

For instance, when there isn’t enough traffic (late at night), the AI will not act to avoid alert spamming. More information can be found here: /support/help/how-to-use-dynatrace/problem-detection-and-analysis/problem-detection/detection-of-frequent-issues/. This is called a frequent issue. That’s another big cultural change!

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

Dynatrace

Grail combines the big-data storage of a data warehouse with the analytical flexibility of a data lake. With Grail, we have reinvented analytics for converged observability and security data,” Greifeneder says. Logs on Grail Log data is foundational for any IT analytics. Grail and DQL will give you new superpowers.”

Analytics 188
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Kubernetes vs Docker: What’s the difference?

Dynatrace

This opens the door to auto-scalable applications, which effortlessly matches the demands of rapidly growing and varying user traffic. For a deeper look into how to gain end-to-end observability into Kubernetes environments, tune into the on-demand webinar Harness the Power of Kubernetes Observability. What is Docker? Networking.

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Dynatrace PurePath 4 integrates OpenTelemetry and the latest cloud-native technologies and provides analytics and AI at scale

Dynatrace

Dynatrace has continuously extended and improved PurePath to the point where it now provides industry-leading transaction capturing and code-level analysis for the broadest set of technologies, with some additional and unique capabilities: Frontend to backend. Automatic topology analysis. Near-zero overhead.

Analytics 157