pgschema
https://github.com/pgschema/pgschema
pgschema is a CLI tool that brings terraform-style declarative schema migration workflow to Postgres
https://github.com/pgschema/pgschema
intelli-shell
https://github.com/lasantosr/intelli-shell
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.
https://github.com/lasantosr/intelli-shell
cachey
https://github.com/s2-streamstore/cachey
High-performance read-through cache for object storage.
https://github.com/s2-streamstore/cachey
How to Name Your Metrics
https://blog.olly.garden/how-to-name-your-metrics
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.
https://blog.olly.garden/how-to-name-your-metrics
Kubernetes Monitoring Metrics That Improve Cluster Reliability
https://last9.io/blog/kubernetes-monitoring-metrics
Understand Kubernetes monitoring metrics that help detect issues early, improve reliability, and keep your cluster performing at its best.
https://last9.io/blog/kubernetes-monitoring-metrics
Going down the rabbit hole of Postgres 18 features
https://xata.io/blog/going-down-the-rabbit-hole-of-postgres-18-features
A comprehensive list of PostgreSQL 18 new features, performance optimizations, operational and observability improvements, and new tools for devs.
https://xata.io/blog/going-down-the-rabbit-hole-of-postgres-18-features
elephantshark
https://github.com/neondatabase-labs/elephantshark
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).
https://github.com/neondatabase-labs/elephantshark
Kubernetes observability from day one - Mixins on Grafana, Mimir and Alloy
https://www.amazinglyabstract.it/kubernetes/observability/2025/06/26/kubernetes-mixins.html
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.
https://www.amazinglyabstract.it/kubernetes/observability/2025/06/26/kubernetes-mixins.html
Troubleshooting Packet Drops in a Kubernetes Cluster
https://medium.com/@teyyubismayilov/troubleshooting-packet-drops-in-a-kubernetes-based-observability-platform-3f5d29cfa69b
https://medium.com/@teyyubismayilov/troubleshooting-packet-drops-in-a-kubernetes-based-observability-platform-3f5d29cfa69b
How We Migrated 30+ Kubernetes Clusters to Terraform
https://medium.com/learnings-from-the-paas/how-we-migrated-30-kubernetes-clusters-to-terraform-cd2b1cef8b84
https://medium.com/learnings-from-the-paas/how-we-migrated-30-kubernetes-clusters-to-terraform-cd2b1cef8b84
Gateway API v1.3.0: Advancements in Request Mirroring, CORS, Gateway Merging, and Retry Budgets
https://kubernetes.io/blog/2025/06/02/gateway-api-v1-3
https://kubernetes.io/blog/2025/06/02/gateway-api-v1-3
Kubernetes Node Stability and Performance: Tuning Kubelet for Better Resource Management
https://medium.com/@jfpucheu/kubernetes-node-stability-and-performance-tuning-kubelet-for-better-resource-management-e0f95ccfefe9
https://medium.com/@jfpucheu/kubernetes-node-stability-and-performance-tuning-kubelet-for-better-resource-management-e0f95ccfefe9
A Crash Course in Running Kubernetes Locally
https://jc1175.medium.com/a-crash-course-in-running-kubernetes-locally-7c573dd64933
Kubernetes clusters on your very own machine
https://jc1175.medium.com/a-crash-course-in-running-kubernetes-locally-7c573dd64933
kubectl-ai
https://github.com/GoogleCloudPlatform/kubectl-ai
kubectl-ai acts as an intelligent interface, translating user intent into precise Kubernetes operations, making Kubernetes management more accessible and efficient.
https://github.com/GoogleCloudPlatform/kubectl-ai
ut
https://github.com/ksdme/ut
A fast, lightweight CLI utility toolkit for developers and IT professionals. ut provides a comprehensive set of commonly-used tools in a single binary, eliminating the need to install and remember multiple utilities or search for random websites to perform simple tasks.
https://github.com/ksdme/ut
shiori
https://github.com/go-shiori/shiori
Shiori is a simple bookmarks manager written in the Go language. Intended as a simple clone of Pocket. You can use it as a command line application or as a web application. This application is distributed as a single binary, which means it can be installed and used easily.
https://github.com/go-shiori/shiori
Terraforming With AI
https://dev.to/zloeber/terraforming-with-ai-g0o
This article will go over using a team of AI agents in conjunction with the Terraform MCP server and Docker's cagent tool to clean up some rather gnarly autogenerated terraform without needing to write any code.
https://dev.to/zloeber/terraforming-with-ai-g0o
cagent
https://github.com/docker/cagent
A powerful, easy to use, customizable multi-agent runtime that orchestrates AI agents with specialized capabilities and tools, and the interactions between agents.
https://github.com/docker/cagent
Postgres Migrations Using Logical Replication
https://www.crunchydata.com/blog/postgres-migrations-using-logical-replication
Moving a Postgres database isn’t a small task. Typically for Postgres users this is one of the biggest projects you’ll undertake.
https://www.crunchydata.com/blog/postgres-migrations-using-logical-replication