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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. This is crucial because middleware often serves as the bridge between client applications and backend databases, handling a high volume of requests and data processing tasks.

Database 222
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Process Debt Is Something You Should Care About

DZone

Early this year, the book Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture was published. He wrote a chapter that is particularly useful in contexts where the architecture and environment still have many opportunities for improvement. Intro and Problem Statement.

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Building High-Quality Software

DZone

It’s much better to build your process around quality checks than retrofit these checks into the existent process. NIST did classic research to show that catching bugs at the beginning of the development process could be more than ten times cheaper than if a bug reaches production. A side note.

Software 245
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Netflix’s Distributed Counter Abstraction

The Netflix TechBlog

Introducing sufficient jitter to the flush process can further reduce contention. By creating multiple topic partitions and hashing the counter key to a specific partition, we ensure that the same set of counters are processed by the same set of consumers. This process can also be used to track the provenance of increments.

Latency 248
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The Agile Architect: Mastering Architectural Observability To Slay Technical Debt

DZone

It's a story as old as ( UNIX ) time — in scene one, we meet an international online retailer whose software infrastructure is based on a sprawling monolithic application. But with this shift, understanding our software architecture on a deeper level while keeping up with the quick pace of release cycles is becoming more challenging.

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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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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.