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Beyond Static Logging: Introducing Dynamic Log Levels in Go

 This is part one of a multi-part series that I go into making a dynamic logger that allows you to change the level during runtime.  Before exploring how to develop a dynamic logger, let's examine the fundamentals of logging and the use of Enum-like types by many common logging systems. Let's take the standard slog library for example, This is their current logging levels:   const ( LevelDebug Level = -4 LevelInfo Level = 0 LevelWarn Level = 4 LevelError Level = 8 ) The code snippet above illustrates how each logging level is assigned an integer value. This arrangement facilitates navigating between log levels without jumping directly from, say, error to debug. Instead, you can increment or decrement through the levels progressively by setting the desired level in a loop. LevelVar For those familiar with Go and its concurrency model, managing logging levels across goroutines can present challenges, potentially leading to inconsistent logging
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How we sped up a Postgresql procedure 50X

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  Introduction   What I'm about to explain may seem rudimentary to a DBA but it was over looked by our distinguished engineer. And once you learn the inner workings it's a "duh" kinda moment where you look back and wonder why you didn't see it. What is a Postgres procedure   Let's start with the basics. There are postgresql functions and procedures. The major differences between the two is that functions returns a result while a procedure does not. In addition to the return differences, you Select a function but Call a procedure.   Diving into the specifics, a function is almost like a function in any other programming language. It takes inputs and can manipulate it or use it in a sql statement.     Adding two numbers that are fed as inputs: 1 2 3 4 5 6 7 CREATE FUNCTION add_numbers (first_number integer , second_number integer ) RETURNS integer LANGUAGE SQL IMMUTABLE AS $$ SELECT $ 1 + $ 2 ; $$ ;   Taking two inputs and inserting
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Location: Utah, USA
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My website Services stack.

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  Table of contents The code Server stack Data Management     Mysql      Sessions     Deployment Secrets Load Balancing     Traefik      Cert-Manager Introduction   I n this post I will talk about the services that are running my sites along with reasoning behind each. Similar to my website infrastructure post I will not be doing any How-Tos but format it as a birds-eye view of how my stack is implemented. The Code     Most of my dynamic code is written in PHP, from my registration/Social site to my contact form. It's a well tested language which made it a very good language to learn and program with. In addition  many frameworks and libraries are written in php and let's not forget some of the biggest platforms in the history of the web are created using PHP like WordPress, Shopify, and Facebook (HHVM).   Although php is a great and powerful language, I plan on moving to Nodejs for a variety of reasons. One of the beauties of Node is it much easier to build  applications wit
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My Website infrastructure Stack

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A little background Throughout this post I will go through the technology stack and the reasons I chose each part of the stack. I won't be creating any How Tos in this article to keep it short enough to not lose attention but I will be creating independent articles for each part of the stack. The goal of my website is two parts. One, for it to be a distributed cluster so I can loose any one part of my website and it will proceed to work. The second goal is to be able to recreate it from a few simple files in a few minutes on any provider.  The Provider The main reason I chose AWS was the credits I was offered as a student. If you think about it a pretty strong marketing move, get students hooked on the ecosystem so when they go into the workforce they convince their employers to switch or migrate to AWS. But the real question should be why did I stick AWS. Although I've primarily worked with AWS, I've worked with some other cloud providers like Azure and GCP and AWS does wi
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Enhancing connectivity from AWS to my on-premise network

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    A little background If you just want to read how to set it up click here   I've been using AWS for nearly 4 years now, soon after starting college. By the way, if you're not aware, AWS offers $100 credit on top of the extremely generous free tier, watch out for a blog post about this. But recently I've been setting up more advanced environments and fine tuning my process that makes it almost necessary to have a direct link to AWS. The problem of advancing infrastructure. Recently I've been using Saltstack to coordinate spinning up and setting up different EC2 instances. As my salt master is on premises this introduced a unique challenge, I needed to have my minions communicate with my  masters but that required opening up ports to my firewall . Obviously this solution wasn't a great one at all as any open ports means the increasing the attack surface. Now of course I could open it only to certain source IPs but when you're constantly spinnin
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