DevOps, databases,
and mountain treks.

Basic Auth via NGINX in kubernetes

Django Kafka Integration using Faust.

Using traefik/nginx as a Reverse Proxy.

Setup OpenTelemetry for Django running on gUnicorn ASGI.

Pods are the basic unit of deployment in k8s and in a typical k8s setup, your application container is probably running inside a pod. Pods themselves are containers, and you can run multiple containers sharing the same volume and network interfaces of the pod concurrently. This is called the sidecar pattern. We run an emr django application connected to a RDS postgres database using RDS IAM auth. To make this work, we run a cronjob which generates a token every 10 minutes which is used by the a

Setting up Amplify for nextjs SSR via Terraform

Leveraging github actions by using state to determine whether to build a dockerimage or not.

We run a k8s cluster for our healthcare EMR application. At the time, we only had one public facing service, so we used a Kubernetes Service of Type LoadBalancer. resource "kubernetes_service" "django" { metadata { name = "django" namespace = kubernetes_namespace.app_namespace.metadata[0].name annotations = tomap( { "service.beta.kubernetes.io/aws-load-balancer-ssl-cert" = var.django_acm_arn, "service.beta.kubernetes.io/aws-load-balancer-ssl-por

Continuing from Django Bulk Save, I wanted to test how would the copy_from function perform when I scale to over a million records. The copy_from scales incredibly well, it took 4 seconds to write 1.6 million rows. The rest of the article strays away from the actual topic. I decided to play around with different CSV libraries and figure out what would be the most efficient library to use when you have a file this large. You'd probably never encounter a scenario where you'd have to parse a mil

A year ago I was working on a really tiny part of a large non-consumer facing product (idk what's the correct term). I can't divulge much, I have done a lot of illegal things like calling a politician an idiot on social media, so I don't want to add more to the list. Imagine you ran an ice cream subscription service, and you had a lot of people on the payroll tasked with managing renewals for subscribers. Let's call them agents. You had an online portal for customers to manage/renew their subsc

Setting up the infra We primarily use a django backend with RDS postgres in a kubernetes cluster for production environments. We were trying to setup an environment which would be HIPAA compliant and secure as well, as well as keep complexity to a minimum in the backend layer.  We decided to go with IAM authentication to connect to RDS for the django application. The tricky part was to figure out how we would add pgbouncer between RDS and django to manage connection pooling issues. We setup a

Using bulk_create? You could switch to copy_from if your usecase fits.