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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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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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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. To bring these practices to life within an organization at scale, the discipline of platform engineering has gained popularity.

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Data Consistency in Apache Cassandra — Part 2

Software Architecture

Source: [link] Cassandra has tunable consistency which means that not only on the database level, you can tune the immediate and eventual consistency of your data per query/operation by setting the read CL (consistency level) and write CL. Comments and thoughts welcome.

Tuning 100
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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. Every time we interact with software that displays a table, we can expect the columns to be sortable like this: Sort-By-Colunn is a great pattern when all the data can fit in the browser. The basic unit of SQL tuning is the query.

Design 92
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AB Testing?—?So You Know What Really Works

Adrian Cockcroft

If you think about the scale that Netflix operates at, and the number of new customers they get every day, they can run far more and bigger tests than their smaller competitors, so they have a scale advantage that they can use to tune their product, and maintain a higher rate of innovation.

Testing 52
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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. It allows for the breaking up of heavy monolithic architectures into multiple serverless “functions.” Understand and optimize your architecture. So stay tuned! Dynatrace news. What’s next.