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Npm Load Balancer Libraries

Most Popular Npm Load Balancer Libraries

NameSizeLicenseAgeLast Published
pm2208.62 kBAGPL-3.010 Years15 Mar 2023
redwire19.65 kBMIT9 Years27 Oct 2015
loadfire7.68 kBMIT10 Years4 Jun 2014
sticky-load-balancer8.71 kBMIT8 Years11 Jan 2016
pm2-fix189.72 kBAGPL-3.05 Years18 Feb 2018
@socket.io/pm2209.09 kBAGPL-3.02 Years1 May 2023
grpc-helper17.75 kBMIT5 Years18 Nov 2019
hapi-remote-address1.45 kBMIT6 Years28 Jan 2018
final-pm59.82 kBMIT6 Years29 Jan 2019
@recalibratedsystems/pm2208.76 kBAGPL-3.01 Years22 May 2023
tacs8.15 kBApache-2.01 Years6 Jan 2023
@dwelle/pm2208.23 kBAGPL-3.01 Years13 Feb 2022
firstpoint-server2.52 kBMIT1 Years4 Apr 2022
grpcdes19.02 kBMIT4 Years5 Sep 2019
@web-native-js/pm2239.64 kBAGPL-3.03 Years4 Sep 2020

When are Load Balancer Libraries Useful

Load balancer libraries are essential when it comes to building scalable applications, particularly when dealing with high traffic or resource-heavy tasks. At a certain point, a single server may not handle such volumes effectively which may lead to delay or failure in service. Here is where load balancer libraries prove insightful. By distributing network or application traffic across several servers, they ensure optimum utilization of resources, maximize throughput, minimize response time, and avoid system overload.

In a JavaScript context, especially with node.js applications that are single-threaded, multiple instances often run in parallel to leverage the full power of the underlying system. Load balancer libraries can distribute incoming requests evenly across these instances resulting in enhanced performance and reliability. Within the npm ecosystem, numerous load balancer libraries can address different balancing strategies (like round-robin or least connections) and various session persistence requirements.

What Functionalities do Load Balancer Libraries Usually Have

Standard functionalities of load balancer libraries include:

  • Traffic distribution: The primary function is to distribute incoming network traffic across a group of backend servers, known as a server farm or server pool.
  • Health checks: Load balancers regularly check the status of all servers in the pool to ensure they are ready to receive traffic. If a server fails, traffic is automatically routed to the remaining servers.
  • SSL Termination: Involves the decryption of data and the processing of SSL requests. This feature offloads SSL traffic from the main server, ensuring better server utilization.
  • Persistence or Stickiness: Some applications require all the requests from a client to go to the same server. Load balancers can maintain this state using cookies or other mechanisms.
  • Auto Scaling: In varying load conditions, load balancers can dynamically add or remove servers in the pool to adjust to changes in application traffic.

Gotchas/Pitfalls to look Out For

While load balancing libraries provide numerous benefits, there are certain potential pitfalls to be aware of:

  • Session Persistence Issues: If session persistence is not correctly handled, user requests might be routed to different servers during a single session causing inconsistency in user experience.
  • Performance Bottleneck: Improper configuration of the load balancer can itself become a bottleneck if unable to efficiently handle the incoming traffic.
  • Resource Utilization: Load balancers can sometimes over-utilize certain servers in the pool, causing an uneven distribution of load. Regular monitoring and fine-tuning of the balancing algorithm is necessary.
  • Single Point of Failure: If the load balancer itself fails, the entire system would collapse leading to service disruption. Therefore, it is crucial to implement high availability setups for load balancers.
  • With respect to npm packages, ensure to vet the packages thoroughly before use, regarding their maintenance status, version compatibility, and potential vulnerabilities.