article thumbnail

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.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Demystifying Kuma Service Mesh

Dzone - DevOps

Service mesh emerged as a response to the growing popularity of cloud-native environments, microservices architecture, and Kubernetes. While Kubernetes helped resolve deployment challenges, the communication between microservices remained a source of unreliability. It has its roots in the three-tiered model of application architecture.

article thumbnail

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.

article thumbnail

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.

article thumbnail

What Is Observability? Key Components and Best Practices

Honeycomb

The interplay of distributed architectures, microservices, cloud-native environments, and massive data flows requires an increasingly critical approach : observability. Observability starts by collecting system telemetry data, such as logs, metrics, and traces.

Metrics 126
article thumbnail

Adding Postgres 16 support to Citus 12.1, plus schema-based sharding improvements

The Citus Data

PostgreSQL 16 has introduced a new feature for load balancing multiple servers with libpq, that lets you specify a connection parameter called load_balance_hosts. You can use query-from-any-node to scale query throughput, by load balancing connections across the nodes. Postgres 16 support in Citus 12.1