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Software Architecture Quality Attributes

DZone

And finally, software architecture has gained increasing visibility in the last years as the software industry has recognized the role of software architectures in maintaining high quality and ensuring high quality and sustainability of software products.

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

Dynatrace

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. With Dynatrace, you can create custom metrics based on user-defined log events. So, let’s compare the two approaches for ingesting logs.

Metrics 245
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Process Debt Is Something You Should Care About

DZone

Early this year, the book Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture was published. He wrote a chapter that is particularly useful in contexts where the architecture and environment still have many opportunities for improvement. Intro and Problem Statement.

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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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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?

article thumbnail

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

Dynatrace

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. With Dynatrace, you can create custom metrics based on user-defined log events. So, let’s compare the two approaches for ingesting logs.

Metrics 130