Load balancing

Q: How deeply does Building Distributed Applications that Work cover load balancing?

Explains replica configuration and shared versus internal addresses, but does not detail the routing algorithm.

As explained in Building Distributed Applications that Work

The distribution of incoming traffic across multiple service instances or resources.

A load balancer distributes requests across service replicas. They share a front-facing address, while each instance listens on its own internal HTTP port. section 9.1.1

builder.AddProject<Projects.OnlineShop_Web>("webfrontend")
   .WithExternalHttpEndpoints()
   .WithReference(cache)
   .WithReference(apiService)
   .WithReplicas(3)...

Configure three webfrontend replicas in the Aspire host with WithReplicas(3). section 9.1.1

How Building Distributed Applications that Work covers it

Cover of Building Distributed Applications that Work

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Also explained in

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Kubernetes in Action, Second EditionLoad balancing is the distribution of incoming work across multiple application instances or other processing targets.
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Amazon Web Services in Action, Third Edition: An in-depth guide to AWSLoad balancing is the distribution of requests or workloads across multiple computing resources to improve availability and performance.
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Build Python Web Apps with StreamlitA load balancer is an infrastructure component that distributes incoming network traffic across multiple service instances and can route traffic away from unhealthy instances.
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Tech Startup ToolkitLoad balancing is the distribution of incoming workload across multiple servers to prevent any one server from exceeding its capacity.
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Generative AI in ActionLoad balancing distributes computational requests or workloads across multiple resources to improve utilization, performance, and availability.
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Road to KubernetesLoad balancing is the distribution of incoming traffic across one or more servers capable of handling it.
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Server-Side WebAssemblyLoad balancing is the distribution of application requests or work across multiple running instances or hosts.
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Refactoring to RustA load balancer is a system component that distributes incoming requests or tasks among multiple running service instances.
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Transformers in ActionLoad balancing is the distribution of tokens or computation across experts so that no experts are overloaded while others remain underused.
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Grokking ConcurrencyLoad balance is the degree to which computational work is distributed evenly across available workers or processing resources.
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Learn Concurrent Programming with GoLoad balancing is the distribution of work across multiple workers or processing resources to avoid concentrating demand on one worker.
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Apache Kafka in ActionLoad balancing is the distribution of work or resource consumption across system components to avoid substantial imbalance.
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Learn Docker in a Month of Lunches, Second EditionLoad balancing is the distribution of requests or traffic across multiple service instances.

Compare how 14 books explain load balancing →

Related concepts

serviceimplemented by · A Kubernetes Service is an API resource that provides stable network access and service discovery for a changing set of Pods or other specified destinations.
Kubernetesused by · Kubernetes is an open-source platform for orchestrating and automating the deployment, scaling, and management of containerized workloads across computing clusters.
NGINXused by · NGINX is open-source web-server and reverse-proxy software that serves HTTP content, forwards requests, and can load-balance network traffic.
Gateway Load Balancing Protocolused by · Gateway Load Balancing Protocol is a Cisco first hop redundancy protocol that provides gateway redundancy while distributing traffic across multiple routers.
serveruses · A server is a computer system or software process that receives requests from clients or other systems and provides resources, data, or services in response.
horizontal scalingused by · Horizontal scaling is adjusting system capacity by adding or removing computing nodes or equivalent instances that share or distribute the workload.

This explainer was generated by Manning's knowledge graph from the text of Building Distributed Applications that Work. The section links point to the parts of the book it draws on.