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Software Engineer | Technical Writer
Bread and butter from React and Rails, but currently exploring Linux System Administration and Cloud Solutions/DevOps.
Learning everyday. Follow along with my series on creating Chrome Extensions, Desktop Apps (soon), and PWAs.
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I learned today that my main blog posts should be called "Today I Learned"s. I'm surprised my last post was over two months ago. I've been working on my new Chrome extension project, Chorus, making features, fixing problems, and getting it ready for ...
TLDR: Fix a bug, package and upload to Developer Dashboard, fill forms, submit for review, and look at analytics after going live. In this post, we want to create and submit an initial release for the Chrome Web Store and upload it to Github. Before ...
Here's a recap of what we want to accomplish for the first feature: Either disable or remove all the Add to queue UI (on hover and via the dropdown: Enable or disable the first feature by clicking on the extension in the toolbar, which controls t...
Building a Youtube Add-on to Regain Control of Queue Playlist
TLDR: This article demonstrates how to use AppleScript to control Spotify and display song information in a tmux status bar. Tmux is a terminal multiplexer: it enables several terminals to be created, accessed, and controlled from a single screen. T...
Load balancing, as explored in a previous project, is a technique used to distribute incoming network traffic across multiple servers to improve performance, scalability, and availability. Nginx and Apache are popular web servers that support load balancing.
There are three main types of load balancing:
Round-robin: Incoming requests are distributed to each server in the pool in a circular fashion.
Least connections: Incoming requests are distributed to the server with the least number of active connections.
IP hash: The client's IP address is used to determine which server in the pool should handle the request.
Round-robin: Default method in Nginx.
Least connections: Enabled with the least_conn directive.
IP hash: Enabled with the ip_hash directive.
Apache supports various load balancing methods through the mod_proxy_balancer module, including:
Round-robin: Incoming requests are distributed to each server in the pool in a circular fashion.
Least connections: Incoming requests are distributed to the server with the least number of active connections.
Session-based: Incoming requests are distributed based on session information, ensuring that requests from the same session are sent to the same server.
URL hash: Incoming requests are distributed based on the URL requested, ensuring that requests for the same URL are sent to the same server.
In addition to load balancing methods, a load factor is an important consideration for efficient load balancing. Load factor refers to the server's ability to handle traffic based on its resources, such as CPU, memory, and disk I/O.
Load factor can be measured in various ways, such as the number of connections or requests per second, the CPU or memory usage, or the network throughput. Load balancing algorithms can take into account the load factor of each server and distribute traffic accordingly to ensure that the server with the least load factor gets the incoming traffic.
By choosing the right load balancing method and considering the load factor of each server, web applications can handle high traffic loads and provide a smooth user experience.