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Software Architecture Quality Attributes

DZone

Quality attributes usually assessed and analyzed at the architecture level, not at the code level. However, some experts start talking about it, for example, I highly recommend you to attend Global Software Architecture Summit in Barcelona ( October, 1-2), where Alexander von Zitzewitz will talk about “Software Metrics for Architects”.

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Forming an Architecture Modernization Enabling Team (AMET)

Strategic Tech

Architecture modernization initiatives are strategic efforts involving many teams, usually for many months or years. An AMET is an architecture Enabling Team that helps to coordinate and upskill all teams and stakeholders involved in a modernization initiative. They need a more loosely coupled architecture and empowered teams.

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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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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 184
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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 130
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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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What is distributed tracing and why does it matter?

Dynatrace

As legacy monolithic applications give way to more nimble and portable services, the tools once used to monitor their performance are unable to serve the complex cloud-native architectures that now host them. Metrics: Numeric representation of data measured over a set period. How does distributed tracing work?