What is the conceptual difference between Service Discovery tools and Load Balancers that check node health?

Question

Recently several service discovery tools have become popular/\"mainstream\", and I’m wondering under what primary use cases one should employ them instead of traditional load ba

Answer 1

Load balancers typically need the endpoints of the resources it balances the traffic load. With the growth of microservices and container based applications, runtime created dynamic containers (docker containers) are ephemeral and doesnt have static end points. These container endpoints are ephemeral and they change as they are evicted and created for scaling or other reasons. Service discovery tools like Consul are used to store the endpoints info of dynamically created containers (docker containers). Tools like consul-registrator running on container hosts registers container end points in service discovery tools like consul. Tools like Consul-template will listen for changes to containers end points in consul and update the load balancer (nginx) for sending the traffic to. Thus both Service Discovery Tools like Consul and Load Balancing tools like Nginx co-exist to provide runtime service discovery and load balancing capability respectively.

Follow up: what are the benefits of ephemeral nodes (ones that come and go, live and die) vs. "permanent" nodes like traditional VMs?

[DDG]: Things that come quickly to my mind: Ephemeral nodes like docker containers are suited for stateless services like APIs etc. (There is traction for persistent containers using external volumes - volume drivers etc)

1. Speed: Spinning up or destroying ephemeral containers (docker containers from image) takes less than 500 milliseconds as opposed to minutes in standing up traditional VMs

2. Elastic Infrastructure: In the age of cloud we want to scale out and in according to users demand which implies there will be be containers of ephemeral in nature (cant hold on to IPs etc). Think of a markerting campaign for a week for which we expect 200% increase in traffic TPS, quickly scale with containers and then post campaign, destroy it.

3. Resource Utilization: Data Center or Cloud is now one big computer (compute cluster) and containers pack the compute cluster for max resource utilization and during weak demand destroy the infrastructure for lower bill/resource usage.

Much of this is possible because of lose coupling with ephemeral containers and runtime discovery using service discovery tool like consul. Traditional VMs and tight binding of IPs can stifle this capability.