A naive Dockerfile is 1.2GB, runs as root, and rebuilds from scratch
thesimplifiedtech.com/blog/d…
#DevOps #CICD
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• Over 1000 built-in policies for AWS, Azure, and Google Cloud
• Scans Terraform, CloudFormation, Kubernetes, Dockerfile, and more
• Detects AWS credentials and identifies secrets using regex and entropy
• Supports graph-based scanning for context-awareness policies
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Render is shit. If you don’t want to deal with Dockerfiles, Heroku is the easiest native Java experience. If you’re okay with a Dockerfile, Railway is a great choice with better DX.
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くろまめ＠3Dプリンターイベント開催！JRRF2026.5/30-31 retweeted
Jun 5
docker-ros2-desktop-vncにROS 2 Lyrical対応のDockerfileマージしました！
docker run -p 6080:80 --shm-size=512m tiryoh/ros2-desktop-vnc:lyrical
で試せます
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作業前は Java 7 とか Hibernate 4.2.7 とかで、 Dockerfile で足場を固めるにしても相当に面倒臭い
github.com/sasasin/sreader/b…
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Top 10 DevOps resources I’d actually point working devs to:
1) The Phoenix Project (book)
Good mental model for flow, bottlenecks, and why ops work keeps derailing roadmaps.
2) The DevOps Handbook (book)
Concrete practices: CI/CD, trunk-based dev, change mgmt, metrics that matter.
3) Google SRE Book (free online)
SLOs/SLIs, error budgets, incident response. Turns outages into an engineering loop.
4) Kubernetes docs kind/minikube (docs practice)
You don’t learn K8s from slides. Deploy, break DNS, debug probes, read events.
5) Terraform docs a small AWS/GCP lab (docs practice)
Write modules, remote state, locking, plan/apply discipline. Learn drift the hard way.
6) Docker docs (docs)
Images, layers, networking, volume semantics. Fix your own Dockerfile instead of copy/paste.
7) GitHub Actions (or GitLab CI) docs (docs)
Build a pipeline: test, lint, build image, scan, deploy. Learn secrets, caching, artifacts.
8) Prometheus Grafana docs (docs)
Instrument one service, build 3 dashboards, and alert on symptoms not CPU%.
9) OpenTelemetry docs (docs)
Traces change how you debug distributed systems. Add spans, propagate context, sample sanely.
10) Practice project: run a tiny service in prod-like mode (project)
API Postgres Redis, IaC, CI/CD, canary deploy, rollback, on-call runbook, 2 failure drills (kill a node, expire cert)
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birden fazla projede çalışırken ve bunları docker ile ayağa kaldırırken her projede sürekli 3000 portunu kullanma inadı beni yıldırıyor.
global claude.md dosyasına aşağıdaki direktifi ekledim.
böylece her proje için sıralı olarak belirli port aralıklarını not rezerve ediyor.
---- global claude.md dosyasına eklediğim direktif:
### Docker Port Management
All Docker port allocations for projects are centrally managed in the `~/.claude/docker-ports.md` file.
RULES:
- ALWAYS read `~/.claude/docker-ports.md` BEFORE creating a new docker-compose.yml or Dockerfile, or before adding/changing any port.
- Ports are first come, first served. If there is a conflict, select a new free port and make the necessary updates.
- When allocating new ports, there MUST be NO CONFLICT with the ports already registered in this file.
- When a new port is allocated or an existing port is changed, UPDATE `~/.claude/docker-ports.md` (project name, service, host port, container port, description).
- When a project is deleted or a service is removed, remove the relevant line from the file.
- Port range rule: allocate a block of 10 to each project (e.g. 8100-8109). Use the smallest available block for a new project.
---- ~/.claude/docker-ports.md şablonu:
# Docker Port Registry
> This file centrally tracks Docker host ports across all projects. > It must be updated with every port change. Source: global CLAUDE.md directive.
## Allocated Block Schema
| Block | Project |
|-----------|-------------|
| 8080-8089 | demo-project |
## Port Allocations
| Host Port | Container Port | Project | Service | Description | Last Update |
|-----------|----------------|-------------|-----------------|----------------------|-------------|
| 8080 | 8080 | demo-project | demo-project-app | demo-project web | 2026-06-11 |
## Forbidden / System Ports
| Port | Reason |
|------|--------|
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XiaomiのMiMo CodeをDockerコンテナで試すDockerfile
note.com/kuragashi/n/n5d9569…
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Totalmente. Claude te lo hace, y Coolify te mete en un Container la app del repo sin dockerfile ni nada. Abstracciones y wrappers sobre abstracciones y wrappers. No entendí entonces lo de joder a Docker. Docker for Windows no lo usé jamás. Otrora en Win arrancaba VMs con vagrant.
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4/
It's the open Agent Skills format (Claude Code, Codex, Cursor) - existing skill folders serve unchanged.
You get OpenAPI 3.1, SSE streaming, healthcheck & a generated Dockerfile from one Bun process.
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Tensorlake retweeted
我们直接将现有的 OCI 镜像转换为 VM 镜像，无需您编写“模板”。此外，我们也支持基于 Dockerfile 创建 VM 镜像，这种方式更接近 E2B 模板。
docs.tensorlake.ai/sandboxes…
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Your CI build, your teammate's Mac, and the production cluster should all run the exact same image. If your Dockerfile has a curl piped to bash, you've already lost that guarantee.","One day one mistake I see constantly: people treat containers like
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shares the host kernel. That's why containers boot in seconds and use fewer resources. You don't need a full OS for every service.","The core workflow is three commands: docker build to create an image from a Dockerfile, docker run to start a container from
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