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Optimizing Database Performance in Middleware Applications

DZone

In the realm of modern software architecture, middleware plays a pivotal role in connecting various components of distributed systems. Efficient database operations in middleware can dramatically improve overall system performance, reduce latency, and enhance user experience.

Database 222
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Improve Efficiency With Smaller Code Reviews

DZone

The major challenges occur during: Code Merge Creating Code Reviews Performing Code Reviews Tracking Deployment and Debugging Issues Due to Code Changes Irrespective of the nature of software architecture i.e. micro-service or monolith, these challenges can impact developers day to day productivity.

Code 289
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Building Scalable Software Solutions for Display Manufacturing Automation

DZone

As display manufacturing continues to evolve, the demand for scalable software solutions to support automation has become more critical than ever. Scalable software architectures are the backbone of efficient and flexible production lines, enabling manufacturers to meet the increasing demands for innovative display technologies.

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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Without an efficient data retention strategy, this approach may struggle to scale effectively. Rollup Pipeline: Each Counter-Rollup server operates a rollup pipeline to efficiently aggregate counts across millions of counters. In the following sections, we will share key details on how efficient aggregations are achieved.

Latency 251
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The Relationship Between Software Architecture And Business Models (and more)

Strategic Tech

If every significant architecture decision has business consequences, then knowing the business model and which trade-offs to choose is maybe the most important skill of architects. But what is the actual relationship between a business model and a software architecture? A software system is a model of a domain.

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

Therefore, DevOps teams can better control application performance, so applications can start faster and run more efficiently. Which software architecture suits your solution and business best? Teams want efficiency. With microservices, you’ll be able to deploy a highly efficient, easy-to-scale platform.

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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.