When working with Terraform, managing resource dependencies effectively is key to avoiding deployment issues. Terraform is great at automatically determining the order of resource creation, but sometimes it needs a little help, this is where depends_on comes in.

In this guide, we’ll explain Terraform depends_on, how to use it, when to use it, and best practices for writing clean and efficient Terraform code.

Docker hosts and containers monitoring with Prometheus, Grafana, cAdvisor, NodeExporter and AlertManager

An interactive Kubernetes log viewer for your terminal.

pgrwl is a PostgreSQL write-ahead log (WAL) receiver written in Go. It’s a drop-in, container-friendly alternative to pg_receivewal, supporting streaming replication, encryption, compression, and remote storage (S3, SFTP).

Designed for disaster recovery and PITR (Point-in-Time Recovery), pgrwl ensures zero data loss (RPO=0) and seamless integration with Kubernetes environments.

After using nix in my dotfiles for over 2 years, I’m now moving away from it.

Here’s why.

I have been using Nix regularly since roughly 2019, when I set up my primary build server to use Nix to manage the various toolchains, though it wasn't until 2022 that I really invested heavily, and I'm now using Nix in combination with other more traditional DevOps tools to provision and manage more than 10 physical machines and 50 VMs in my homelab.

A blazingly fast, minimalist directory tree viewer, written in Rust. Inspired by the command line program tree, with a powerful interactive mode.

Canine is an easy to use intuitive deployment platform for Kubernetes clusters.

In this article, we’ll walk through the process of diagnosing a memory leak, analyzing the root cause, and implementing effective solutions to mitigate its impact. We’ll explore practical steps that any application, regardless of the underlying stack or architecture, can follow to troubleshoot and optimize performance.

When managing stateful workloads, whether in Kubernetes or traditional infrastructure, operational concerns like isolation, lifecycle management, security, disaster recovery, scalability, and observability take center stage. While the examples focus on AWS, PostgreSQL, and Kubernetes, the principles and best practices discussed here are broadly applicable to any environment. This article approaches these topics from an operations perspective, prioritizing reliability, maintainability, and resilience. The goal is not just to run a database, but to ensure it operates efficiently, scales properly, and remains secure in real-world conditions. We’ll explore key aspects of running stateful workloads, from managing failure domains to ensuring observability, and how these impact both operations teams and developers. Whether you’re running a database in a cloud-native setup or on bare metal, these strategies will help you build a robust, well-managed system.