#microservices

#microservices

When something breaks, the impact isn't always obvious right away. What starts as a few 500 errors in one service can quickly snowball into failed transactions, frustrated users, and revenue loss.

Integrating FinOps early in microservices architectures leads to significant reductions in both cloud costs and operational inefficiencies, creating a more cost-effective environment for organizations.

A standardized CI/CD pipeline for microservices should address key challenges such as coordinating cross-service releases, managing backward compatibility, and preventing configuration duplication.

Arηs is composed of 13 entities across 6 countries, with more than 1750 consultants, enabling quick responses to market changes and requests.

Ten months after the release of MicroProfile 7.0, the MicroProfile Working Group has released version 7.1 of MicroProfile to the Java community.

The enhancement addresses a long-standing inefficiency in Java's memory model where object headers can consume over 20% of heap space in applications with many small objects.

Complex systems emerge from simple parts, revealing that modular, loosely coupled approaches in technology lead to scalable and more reliable systems.

Splitting your codebase too early can lead to reduced team velocity, missed goals, and unnecessary complexity, ultimately derailing startups looking to innovate quickly.

Shared libraries, while enhancing efficiency and consistency, can hinder scalability if not managed properly, particularly in microservices environments.

Akehurst emphasized that effective API simulation is not just about returning canned responses but about accurately reflecting the behavior of the real API.

LittleHorse is an open-source platform for orchestrating distributed systems, effectively tackling state management and microservice coordination challenges for developers.