From Keycloak to Cognito: Building a Self-Hosted Terraform Registry on AWS
https://cdn.infrahouse.com/blog/2025-10-26-building-terraform-aws-registry
https://cdn.infrahouse.com/blog/2025-10-26-building-terraform-aws-registry
Collaborating with Terraform: How Teams Can Work Together Without Breaking Things
https://medium.com/@shaoyunjian/collaborating-with-terraform-how-teams-can-work-together-without-breaking-things-65c8e59e508a
https://medium.com/@shaoyunjian/collaborating-with-terraform-how-teams-can-work-together-without-breaking-things-65c8e59e508a
spacelift-intent
https://github.com/spacelift-io/spacelift-intent
Spacelift Intent is an MCP Server that lets you define cloud resources in natural language and have them provisioned by directly calling provider APIs - no OpenTofu or Terraform code required.
https://github.com/spacelift-io/spacelift-intent
lefthook
https://github.com/evilmartians/lefthook
Fast and powerful Git hooks manager for any type of projects.
https://github.com/evilmartians/lefthook
ShipShipShip
https://github.com/GauthierNelkinsky/ShipShipShip
A modern, self-hostable changelog and roadmap platform that helps you share product updates with your community and gather feedback through feature voting.
https://github.com/GauthierNelkinsky/ShipShipShip
hl
https://github.com/pamburus/hl
High-performance log viewer and processor that transforms logs in JSON and logfmt formats into a human-readable output. Built with efficiency in mind, it enables quick parsing and analysis of large log files with minimal overhead.
https://github.com/pamburus/hl
headlamp
https://github.com/kubernetes-sigs/headlamp
Headlamp is an easy-to-use and extensible Kubernetes web UI.
Headlamp was created to blend the traditional feature set of other web UIs/dashboards (i.e., to list and view resources) with added functionality.
https://github.com/kubernetes-sigs/headlamp
seaweedfs-operator
https://github.com/seaweedfs/seaweedfs-operator
This Kubernetes Operator is made to easily deploy SeaweedFS onto your Kubernetes cluster.
The operator manages the complete SeaweedFS infrastructure on Kubernetes, including Master servers, Volume servers, Filer services, and IAM (Identity and Access Management) services. This provides a scalable, resilient distributed file system with S3-compatible API and built-in authentication.
https://github.com/seaweedfs/seaweedfs-operator
Kubernetes CPU Limits: Scylla and Charybdis
https://medium.com/@vladimir.prus/kubernetes-cpu-limits-scylla-and-charybdis-6a9aa3a8c6ca
Kubernetes limits — especially CPU limits — are often a source of confusion. Some argue you should always use them, while others insist you should never use them. In this post, I’ll explain why the reality is simply a tradeoff between resource utilization and performance predictability.
https://medium.com/@vladimir.prus/kubernetes-cpu-limits-scylla-and-charybdis-6a9aa3a8c6ca
Kubernetes v1.34: Finer-Grained Control Over Container Restarts
https://kubernetes.io/blog/2025/08/29/kubernetes-v1-34-per-container-restart-policy/
With the release of Kubernetes 1.34, a new alpha feature is introduced that gives you more granular control over container restarts within a Pod. This feature, named Container Restart Policy and Rules, allows you to specify a restart policy for each container individually, overriding the Pod's global restart policy. In addition, it also allows you to conditionally restart individual containers based on their exit codes. This feature is available behind the alpha feature gate ContainerRestartRules.
This has been a long-requested feature. Let's dive into how it works and how you can use it.
https://kubernetes.io/blog/2025/08/29/kubernetes-v1-34-per-container-restart-policy/
Understanding the True Cost of a Kubernetes Workload
https://medium.com/life-at-telkomsel/understanding-the-true-cost-of-a-kubernetes-workload-3a81e2b9529b
Trace individual microservice costs by combining Kubernetes metrics, APM, and CUR for granular spending insights
https://medium.com/life-at-telkomsel/understanding-the-true-cost-of-a-kubernetes-workload-3a81e2b9529b
Cloud Cost Optimization: A Senior Engineer’s Guide
https://medium.com/@razkevich8/cloud-cost-optimization-a-senior-engineers-guide-d49ed4606de1
https://medium.com/@razkevich8/cloud-cost-optimization-a-senior-engineers-guide-d49ed4606de1
Battle for Resources or the SSA Path to Kubernetes Diplomacy
https://hackernoon.com/battle-for-resources-or-the-ssa-path-to-kubernetes-diplomacy
https://hackernoon.com/battle-for-resources-or-the-ssa-path-to-kubernetes-diplomacy
SPIFFE & SPIRE: Your Kubernetes Workloads’ Secret Identity Agency
https://medium.com/@mohammedredatarmidi/spiffe-spire-your-kubernetes-workloads-secret-identity-agency-0e8947437871
https://medium.com/@mohammedredatarmidi/spiffe-spire-your-kubernetes-workloads-secret-identity-agency-0e8947437871
Monitoring Kubernetes Cluster with Prometheus and Grafana using ArgoCD
https://jackjapar.com/monitoring-kubernetes-cluster-with-prometheus-and-grafana-using-argocd
https://jackjapar.com/monitoring-kubernetes-cluster-with-prometheus-and-grafana-using-argocd
Failure is inevitable: Learning from a large outage, and building for reliability in depth at Datadog
https://www.datadoghq.com/blog/engineering/rethinking-reliability
https://www.datadoghq.com/blog/engineering/rethinking-reliability
Why we're leaving serverless
https://www.unkey.com/blog/serverless-exit
Every millisecond matters when you're in the critical path of API authentication. After two years of fighting serverless limitations, we rebuilt our entire API stack and slashed the end-to-end latency.
https://www.unkey.com/blog/serverless-exit
Advancing Our Chef Infrastructure: Safety Without Disruption
https://slack.engineering/advancing-our-chef-infrastructure-safety-without-disruption
Building a safer, more reliable path forward for Chef at Slack
https://slack.engineering/advancing-our-chef-infrastructure-safety-without-disruption
Container CPU Requests & Limits Explained with GOMAXPROCS Tuning
https://victoriametrics.com/blog/kubernetes-cpu-go-gomaxprocs
In this article, we’re going to cover a few things that might’ve puzzled you if you’ve been running your applications, especially Go applications, in Kubernetes:
- How Kubernetes and the Linux kernel handle CPU stuff for containers
- What the Go runtime does with CPU, and whether you should bother setting GOMAXPROCS
- Which metrics are actually worth paying attention to
Maybe you’ve seen some of these metrics before while keeping an eye on your applications, but didn’t fully know what to make of them. This should help clear that up.
https://victoriametrics.com/blog/kubernetes-cpu-go-gomaxprocs
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