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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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What is distributed tracing and why does it matter?

Dynatrace

Distributed tracing follows an interaction by tagging it with a unique identifier, which stays with it as it interacts with microservices, containers, and infrastructure. It can also offer real-time visibility into user experience, from the top of the stack right down to the application layer and the large-scale infrastructure beneath.

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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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What is distributed tracing and why does it matter?

Dynatrace

Distributed tracing follows an interaction by tagging it with a unique identifier, which stays with it as it interacts with microservices, containers, and infrastructure. It can also offer real-time visibility into user experience, from the top of the stack right down to the application layer and the large-scale infrastructure beneath.

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How to overcome the cloud observability wall

Dynatrace

In contrast to modern software architecture, which uses distributed microservices, organizations historically structured their applications in a pattern known as “monolithic.” ” A monolithic software application has a few properties that are important to understand. Let’s break it down.

Cloud 220
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Legacy Architecture Modernisation With Strategic Domain-Driven Design

Strategic Tech

Most organisations go through an architecture modernisation effort at some point as their systems drift into a state of intolerable maintenance costs and they diverge too far from modern technological advances. This means a software architecture should be purposely designed for the most favourable business consequences.

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Microservices vs. monolithic architecture: Understanding the difference

Dynatrace

“This means reinventing IT around a distributed cloud infrastructure, public cloud software stacks, agile and cloud-native app development and deployment, AI as the new user interface, and new, pervasive approaches to security and trust at scale.” This is usually a relational database management system.