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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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Ngrok, a service to help devs deploy sites, services and apps, raises $50M

TechCrunch

. “Developers tape together various open source projects, home-grown proxy layers and combine them with disparate services from cloud-specific vendors like Amazon Web Services, Microsoft Azure and Google Cloud Platform and content delivery networks like Cloudflare. “Ngrok allows developers to avoid that complexity.”

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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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Docker Swarm vs Kubernetes: how to choose a container orchestration tool

CircleCI

Load balancers. Docker Swarm clusters also include load balancing to route requests across nodes. It provides automated load balancing within the Docker containers, whereas other container orchestration tools require manual efforts. It is offered by all three key cloud providers: Google, Azure, and AWS.

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The Good and the Bad of Kubernetes Container Orchestration

Altexsoft

Containers have become the preferred way to run microservices — independent, portable software components, each responsible for a specific business task (say, adding new items to a shopping cart). Modern apps include dozens to hundreds of individual modules running across multiple machines— for example, eBay uses nearly 1,000 microservices.

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Kubernetes and CircleCI orbs: develop your project, not your deployment pipeline

CircleCI

While the rise of microservices architectures and containers has sped up development cycles for many, managing them in production has created a new level of complexity as teams are required to think about managing the load balancing and distribution of these services. Azure Kubernetes Service new. Red Hat OpenShift new.

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AoAD2 Practice: Evolutionary System Architecture

James Shore

Your network gateways and load balancers. There’s no Kubernetes, no Docker, no microservices, no autoscaling, not even any cloud. Microservices and Monoliths. Microservices are the most common reason I see for complex system architectures. That careful modularity will always break down, microservice proponents say.