Remove Load Balancer Remove Metrics Remove Microservices
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Each component in the previous diagram can be implemented as a microservice and is multi-tenant in nature, meaning it stores details related to each tenant, uniquely represented by a tenant_id. This in itself is a microservice, inspired the Orchestrator Saga pattern in microservices. API Gateway also provides a WebSocket API.

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Microservices Architectural Design by using Spring Boot

Perficient

What is Microservices Architecture? Microservices Architecture Software development follows an architectural and organizational approach where small independent services communicate with each other through well-defined APIs. A microservice can locate and connect with other microservices only when it is published on an R&D server.

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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. Automated scaling : AI can monitor usage patterns and automatically scale microservices to meet varying demands, ensuring efficient resource utilization and cost-effectiveness.

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HCL Commerce Containers Explained

Perficient

Registry app : This app implementsa service registry to maintain a directory of all microservices and their instances (Containers). It facilitates service discovery and load balancing within the microservices architecture. Tooling-web : Provides a suite of monitoring and debugging tools for developers and administrators.

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OneFootball Scores an Observability Goal with Honeycomb

Honeycomb

Honeycomb’s SLOs allow teams to define, measure, and manage reliability based on real user impact, rather than relying on traditional system metrics like CPU or memory usage. Instead, they consolidate logs, metrics, and traces into a unified workflow. For OneFootball, this shift was transformative.

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Moving to the Cloud: Exploring the API Gateway to Success

Daniel Bryant

Most successful organizations base their goals on improving some or all of the DORA or Accelerate metrics. DORA metrics are used by DevOps teams to measure their performance and find out whether they are “low performers” to “elite performers.” You want to maximize your deployment frequency while minimizing the other metrics.

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Why Use Kong API Gateway

Dzone - DevOps

Monitoring and Logging : Kong offers detailed metrics and logs to help monitor API performance and identify issues. Microservice Architecture : Kong is designed to work with microservice architecture, providing a central point of control for API traffic and security.