There are books & many articles online, like this one arguing for using Postgres for everything. I thought I’d take a look at one use case - using Postgres instead of Redis for caching. I work with APIs quite a bit, so I’d build a super simple HTTP server that responds with data from that cache. I’d start from Redis as this is something I frequently encounter at work, switch it out to Postgres using unlogged tables and see if there’s a difference.

pgschema is a CLI tool that brings terraform-style declarative schema migration workflow to Postgres

Prometheus exporter for PostgreSQL

IntelliShell is a powerful command template and snippet manager for your shell. It goes far beyond a simple history search, transforming your terminal into a structured, searchable, and intelligent library of your commands.

Terminal OpenAPI Spec viewer

High-performance read-through cache for object storage.

Metrics are the quantitative backbone of observability—the numbers that tell us how our systems are performing. This is the third post in our OpenTelemetry naming series, where we've already explored how to name spans and how to enrich them with meaningful attributes. Now let's tackle the art of naming the measurements that matter.

Understand Kubernetes monitoring metrics that help detect issues early, improve reliability, and keep your cluster performing at its best.

A comprehensive list of PostgreSQL 18 new features, performance optimizations, operational and observability improvements, and new tools for devs.

Elephantshark helps monitor, understand and troubleshoot Postgres network traffic: Postgres clients, drivers and ORMs talking to Postgres servers, proxies and poolers (also: standby servers talking to their primaries and subscriber servers talking to their publishers).

One of the things we quickly find out when using Kubernetes is that it’s hard to know what is going on in our cluster. In most cases, we implement monitoring and alerting after we’ve dealt with problems, but there is a better way.

We don’t need to wait for the explosions, we can re-use the community’s knowledge and implement observability from the beginning.

Kubernetes clusters on your very own machine

kubectl-ai acts as an intelligent interface, translating user intent into precise Kubernetes operations, making Kubernetes management more accessible and efficient.