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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 latency p90.

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UI Design Patterns That Don't Scale

SQL Performance

I spend a large amount of time translating software requirements into schema and queries. I want to talk about UI design choices that lead to data access patterns that are awkward to implement using SQL Server. The basic unit of SQL tuning is the query. These requirements are sometimes easy to implement but are often difficult.

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Architecture Modernization Enabling Teams (AMET)

Strategic Tech

This article was co-authored by Eduardo da Silva and Nick Tune based on our individual and collective experiences. FThis article describes a pattern we have observed and applied in multi-team-scope architecture modernization initiatives, the Architecture Modernization Enabling Team (AMET).

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

One thing stand-out to me is being intentional and practical about your engineering organisation design. First and foremost, being intentional about organisation design requires good and honest discussions about all possible option. In this model, software architecture and code ownership is a reflection of the organisational model.