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

The Citus Data

And if you use the Citus on Azure managed service, the answer is yes, Postgres 16 support is also coming soon to Azure Cosmos DB for PostgreSQL. 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.

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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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Infrastructure Engineer: Key Duties, Skills, and Background

Altexsoft

Depending on a company’s service provider, the position can be put as AWS, Google, Oracle, or Azure cloud infrastructure engineer. The companies may also prefer specialists who have proven experience in a particular technology — for example, Microsoft Azure or Hadoop. Most common duties of an infrastructure engineer.

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Maximizing Cloud Cost Efficiency: 5 Essential Strategies for Cloud FinOps

Perficient

Elastic Load Balancing: Implementing Elastic Load Balancing services in your cloud architecture ensures that incoming traffic is distributed efficiently across multiple instances. AWS, Azure, Google Cloud) that allow you to commit to using specific resources over a defined period at a discounted rate.

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Scaling my application: am I ready?

CircleCI

This is where using the microservice approach becomes valuable: you can split your application into multiple dedicated services, which are then Dockerized and deployed into a Kubernetes cluster. When moving to more distributed architectures, such as microservices, you will end up with some caching instances regardless. Automate first.

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KubeCon San Diego Summary: Top Ten Takeaways (Part 2)

Daniel Bryant

With the exception of AWS and it’s Outposts offering (although this is all subject to change at the AWS re:invent conference this week), both Google, with Anthos, and Azure, with Arc, appear to be betting on Kubernetes becoming the de facto multi-cloud deployment substrate. Microsoft also announced the 1.0