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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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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. This involves new software delivery models, adapting to complex software architectures, and embracing automation for analysis and testing. Get started today! .

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Use Digital Twins for the Next Generation in Telematics

ScaleOut Software

Real-Time Digital Twins Can Add Important New Capabilities to Telematics Systems and Eliminate Scalability Bottlenecks. Current Telematics Architecture. The volume of incoming telemetry challenges current telematics systems to keep up and quickly make sense of all the data.

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Sociotechnical Design Variables

Strategic Tech

Over the past few years I have focused much of my learning and work choices around learning about the design of sociotechnical systems?—?how how to design software architectures and organise teams around them. Domain Variables Domain Flow Direction How the business process flows through components.

Design 45
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Tasktop Closes $100m Investment to Fuel Universal Standard For Value Stream Management

Tasktop

The need to measure outcomes and business value for software development, and the shift from Project to Product , require the deployment of a scalable and turnkey VSM solution. CIO: “I hear that the bottleneck is in our legacy systems, or our needing more developers, or issues with our culture. Me: “So where is your bottleneck?

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Design Patterns: Queue-Based Load Leveling Pattern

cdemi

The service retrieves the messages from the queue and processes them. Requests from a number of different tasks, which can be generated at a highly variable rate , can be passed to the service through the same message queue and will be processed at a constant rate that the service can work at.

Design 47
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How architecture evolves into strategy

O'Reilly Software

Technology systems are difficult to wrangle. Our systems grow in accidental complexity and complication over time. Architecture begins when someone has a nontrivial problem to be solved. The product management team states what must be done to solve the problem, and the architect describes how to realize that vision in a system.

Strategy 100