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GSAS Talk: Pragmatic Approach to Architecture Metrics – Part 2

Apiumhub

Continuing from Part 1 , this article delves deeper into the insights of the talk “Pragmatic Approach to Architecture Metrics” presented by Sonya Natanzon and Vlad Khononov at the Global Software Architecture Summit last year. Increase distance Pragmatic Approach to Architecture Metrics in a Nutshell 1.

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Why Internet Performance Monitoring is the new frontier in a distributed world

CIO

This ecosystem relies heavily on core internet services such as DNS and BGP, while networks have evolved to embrace a variety of complex architectures, including IPv4/6, WAN, SD-WAN, SASE, EDGE, and 5G technologies. In its original form, APM was conceived over 30 years ago for a much simpler time.

Internet 214
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GSAS Talk: Pragmatic Approach to Architecture Metrics – Part 1

Apiumhub

In their thought-provoking presentation titled “Pragmatic Approach to Architecture Metrics” at GSAS’22 organized by Apiumhub , Sonya Natanzon, and Vlad Khononov delivered valuable insights. The success of software architecture hinges upon its adaptability to meet evolving business requirements.

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AI-Driven API and Microservice Architecture Design for Cloud

Dzone - DevOps

Incorporating AI into API and microservice architecture design for the Cloud can bring numerous benefits. Dynamic load balancing : AI algorithms can dynamically balance incoming requests across multiple microservices based on real-time traffic patterns, optimizing performance and reliability.

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Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. The result was enabling developers to rapidly release and iterate software while maintaining industry-leading standards on security, reliability, and performance. How Amazon thinks about metrics.

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Streamdal wants to bring greater visibility to streaming data architectures

TechCrunch

The rise of streaming architectures — frameworks of software components built to ingest and process large volumes of data from multiple sources — is driving the demand for better reliability and performance. Engineering teams often encode data to improve app performance by using what are known as “message envelopes.”

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The change management Informatica needed to overhaul its business model

CIO

We knew we had a unique opportunity to build a new end-to-end architecture with a common AI-powered data model. And while we did put in a new architecture, the objective was to enable a true cloud and consumption business model that was profitable. The architecture was a means to get there. Today, we’re a $1.6 Today, we’re a $1.6