Load balancers use various algorithms to decide which server should handle the request. There are more than ten algorithms for load balancing, and we will cover four of them in this article. These algorithms are crucial in load balancing, ensuring incoming traffic is efficiently distributed across servers to maintain performance, availability, and a smooth user experience. Horizontal scaling is spinning up multiple servers (clones) instead of limiting yourself to one. In this case, you will have more servers ready to take on the load of incoming traffic.
In addition to having flexibility in adjusting to new hires or changes within one part of the application, there are other benefits too. Google Cloud Platform (GCP) is an ideal cloud-based provider for containerisation, analytics and big data solutions. If you’re looking to benefit from the power of machine learning, GCP has Google Kubernetes Engine at your disposal. It offers a seamless integration that only comes with being created by its parent company.
Reduce latency with multi-threaded per-search execution
and don’t require any data distribution during re-sizing. The set of stateful content clusters can be scaled independently
and re-sized which requires re-distribution of data.
All-in-One Monitoring Solution
If you’re using AWS, you can leverage Automatic Scaling Groups (ASG) which horizontally scales the number of servers based on a predefined rule (for example when CPU utilization is more than 50%). The more the connections, the less RAM each connection has, and the slower the queries that leverage RAM (for example sort). With every new connection, you are spreading your resources thin across the connections.
Node.js is single-threaded and event-driven, which makes it unsuitable for heavy computational tasks. When Node.js receives a large CPU-driven task in its event loop, it uses all of its available CPU power to complete that particular task, leaving other tasks in a queue running. This certainly slows down the event loop, complicating the user interface even more.
The concept of creating a news feed
Event loop is a Node.js mechanism that handles events efficiently in a continuous loop, as it allows Node.js to perform non-blocking I/O operations. Figure 12 offers a simplified overview of the Node.js event loop based on the order of execution, where each process is referred to as a phase of the event loop. The load balancer provides efficient performance when you clone your application and distribute the traffic to multiple instances of your application, ensuring that the workload is shared. Even though your application might be lightweight, to create additional VMs, you have to deploy that guest OS, binaries, and libraries for each application instance. A load balancer serves as your “traffic cop” in front of your servers, distributing client requests across all servers capable of handling them.
- As such, it provides ease of use and rapid development, with a rich standard library and ecosystem.
- Failing to adjust this value my result in nodes disconnecting because they did not receive the change request fast enough.
- Local modules can also be packaged and distributed for use by the wider Node.js community.
- If you need your new app to be up and running quickly, Node.js may be the answer as it is simply the best choice for creating apps in terms of performance.
- We observed an 88% reduction in the number of connections required between routers and storage nodes in some of our largest clusters.
Re-distribution of data in Vespa, is supported and designed to be done without significant serving impact. Altering the number of nodes or groups in a Vespa content cluster does not require re-feeding of the corpus,
so it’s easy to start out with a sample prototype and scale it to production scale workloads. With a grouped distribution, content is distributed to a configured set of groups,
such that the entire document collection is contained in each group. A group contains a set of content nodes where the content is
distributed using the distribution algorithm. In the above illustration, there are 4 nodes in total, 2 groups with 2 nodes in each group. As can be seen from the figure with this grouped configuration,
the content nodes only have a populated ready sub-database.
Using a specialized database like Stream results in a large improvement to performance and scalability. Perhaps, more importantly, it helps you get to launch your app faster, focus on the product experience and gives you the tools you need to optimize user engagement. Simple & Fast – In this use case, we would be feeding it a list of 30 IDs (from our Redis store of user’s news feed) and it would need to pull the content of the IDs . Would be great if it could be in memory and not access disk to save time. You can use Nginx Event Loop to successfully process millions of concurrent requests and scale your Node.js app. This way, you can detect whether the event loop is blocked longer than the expected threshold.