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Solving the File Sync Bottleneck in tests: How Torrenting Could Be the Answer - Part 1
At my job, one recurring technical challenge has been syncing massive files—often ranging from 10GB to 20GB—across multiple servers. We’re essentially copying over large iso files around to various servers. The current process still somewhat works but it is bandwidth-intensive, and increasingly difficult to manage as our the number of servers we need to sync this large file grows.
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GKE as Gitlab Runner
Part of my job involves me dealing with Gitlab on a daily basis. Gitlab is a complicated beast to handle and it took a while to get around the various features that the product offers.
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Configuring Compute Storage
When we initially start playing around with compute instances in the cloud, we generally just deploy instances without thinking too much about it. We don’t think about the application requirements or how CPU or Memory may require.
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Building a code assessment tool but in Kubernetes
Container based security measures Smaller images for code execution platform Not running the container as root Kubernetes related Run the deployment in different namespace Setting up a new Service account in kubernetes Ensuring service account token is not mounted in potentially vulnerable pods Ensuring that the container is started with non-root access Ensuring resource limits are set Set security context Setting network policy Using a stricter seccomp/apparmor profile Tool related Ensure limited logs sniffed Ensure that there is a time limit of code executions Future efforts I had previously attempted to build a code assessment tool in docker.
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Connect Slaves Jenkins configured with JCasC - Docker
This is a continuation of the previous blog post for automating Jenkins server setup. The previous setup only created a setup for a single node Jenkins build server farm. This definitely won’t be sufficient for larger teams where they would be building applications and running workflows on a more frequent basis.
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Automating Jenkins Initial Setup
Jenkins, a pretty popular Continuous Integration/Continuous Deployment (CI/CD) build tool, plays a pivotal role in automating the software development/deployment process. Over the years, Jenkins has evolved to become an extremely versatile automation server that facilitates continuous integration and delivery by orchestrating the building, testing, and deployment of code.
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Building RPMs and storing it in Artifact Registry
Introduction When one mentions about application packaging - the usual first thought that can cross a person’s mind is how the application would be packaged in docker containers. That is a somewhat fair thing to think about - containers have gotten pretty common in developer circles.
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Github actions for shopping list application
I have a basic shopping list application that is available in the following code base: https://github.com/hairizuanbinnoorazman/Go_Programming/tree/master/Apps/shopping-list. This is a simple Golang application that also embeds a generated javascripts that has been transpiled into Javascript files.
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Using Terraform for deploying databases and applications in Google Cloud
Over the past few months, I have been toying with the idea of going all in with Ansible or all in with Terraform. Both tools are pretty popular tools when it comes to application and tools deployment.
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Nginx as API Gateway - focusing on auth_request directive
On virtual machine How to “protect” api requests https://www.nginx.com/blog/deploying-nginx-plus-as-an-api-gateway-part-1/ Mostly is the auth_request directive Microservices are a software architectural style that structures an application as a collection of loosely coupled, independently deployable services.
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