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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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Nurturing Design in Your Software Engineering Culture

Strategic Tech

There are a few qualities that differentiate average from high performing software engineering organisations. I believe that attitude towards the design of code and architecture is one of them. In fact, Software Design EventStorming is like a DSL for designing business processes that translate directly into code.

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

Dynatrace

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Get started today! .

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From Domains to Value Streams

Strategic Tech

The 2010s were a turning-point in the history of software engineering. or “How do software architecture, domains, Conway’s Law, Team Topologies, and value streams all fit together?”. Team Flow Event Storming is also a great technique for mapping out and visualizing value stream-like processes collaboratively.

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Visualising Sociotechnical Architecture with DDD and Team Topologies

Strategic Tech

I’ve been disappointed for a long time with the way in which companies organise software development teams. I remember as a young, naive software developer, I assumed there would be structured processes and patterns similar to those used for designing a software architecture. A clear warning sign.

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Forming an Architecture Modernization Enabling Team (AMET)

Strategic Tech

Typically, there’s a period where modernization is discussed as the pains of legacy systems and/or ways of working are noticed and become ever more prominent, blocking the business strategy. They need a more loosely coupled architecture and empowered teams. We informally call this the Noticing stage.

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Cloud Adoption in 2020

O'Reilly

. • More than one-third have adopted site reliability engineering (SRE); slightly less have developed production AI services. Software engineers represent the largest cohort, comprising almost 20% of all respondents (see Figure 1 ). For this audience, SRE’s future is brighter than AI’s, however. Respondent Demographics.

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