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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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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.

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Ensure safe and secure releases at scale by providing Golden Paths

Dynatrace

Golden Paths for rapid product development Modern software development aims to streamline development and delivery processes to ensure fast releases to the market without violating quality and security standards. After completing this two-step process, a ready-to-use guardian is created.

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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. In this visual, you can see the whole processing of Keptn deploying, testing, and evaluating performance tests against defined SLIs is automated. Performance-as-a-self-service .

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Building High-Quality Software

DZone

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. Metrics abstract you away from all details.

Software 245
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The Real Problem with Software Development

O'Reilly

That code may take the form of dozens of microservices running as asynchronous processes and communicating over a network. What is the overall structure, the overall architecture, of these programs? How do you think about complexity when writing or maintaining software that may outlive its developers?

Software 125
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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. It collects, processes, and outputs log files to and from a wide variety of technologies. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. Adding the Dynatrace plug-in is easy.

Metrics 180