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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Detailed performance analysis for better software architecture and resource allocation. All metrics, traces, and real user data are also surfaced in the context of specific events. Dynatrace news. What is Fluentd?

Metrics 170
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data. Recovery time of the throughput metric.

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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. Detailed performance analysis for better software architecture and resource allocation. All metrics, traces, and real user data are also surfaced in the context of specific events. Dynatrace news. What is Fluentd?

Metrics 130
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What is distributed tracing and why does it matter?

Dynatrace

Traditional software monitoring platforms collect observability data in three main formats: Logs: Timestamped records of an event or events. Metrics: Numeric representation of data measured over a set period. Monitor key performance metrics that can be with interactive visual dashboards. How does distributed tracing work?

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What is distributed tracing and why does it matter?

Dynatrace

Traditional software monitoring platforms collect observability data in three main formats: Logs: Timestamped records of an event or events. Metrics: Numeric representation of data measured over a set period. Monitor key performance metrics that can be with interactive visual dashboards. How does distributed tracing work?

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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

This involves new software delivery models, adapting to complex software architectures, and embracing automation for analysis and testing. Install the Dynatrace OneAgent to gather metrics and feed the Dynatrace AI-powered problem causation engine that automatically shows impacted users, system, and root cause during testing.

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Reflections from a Year of Project to Product

Tasktop

Gene shared with me his experiences building apps in Clojure, and I showed him visualizations that I created to show how the flow of value in my open source projects affected both software architecture and organizational structure. Then I started sharing my ideas for a book that would build on these concepts.

DevOps 45