Dockerfiles
A curated collection of 50+ pre-built Docker images for DevOps, CI/CD, and big data platforms (Hadoop, Kafka, Spark, Cassandra, etc.) across multiple Linux distributions. Published to DockerHub under MIT license, maintained by a single author with community contributions.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | HariSekhon/Dockerfiles |
| Owner | HariSekhon |
| Primary language | Shell |
| License | MIT — OSI-approved |
| Stars | 1.4k |
| Forks | 482 |
| Open issues | 18 |
| Latest release | Unknown |
| Last updated | 2026-02-03 |
| Source | https://github.com/HariSekhon/Dockerfiles |
What Dockerfiles is
Shell-based Dockerfile repository providing containerized images for infrastructure tools, orchestration systems, and data processing frameworks. Supports Alpine, CentOS, Debian, Fedora, Ubuntu, and Rocky Linux base images; integrated with multiple CI/CD platforms (CircleCI, Jenkins, GitHub Actions, etc.).
Get the Dockerfiles source
Clone the repository and explore it locally.
git clone https://github.com/HariSekhon/Dockerfiles.gitcd Dockerfiles# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- No versioned releases; last push 2026-02-03 suggests active updates but no SemVer tagging—pin to commit SHA in production rather than branch or latest.
- 18 open issues suggest known bugs or feature requests; review issue tracker for blocker items relevant to your target platform (e.g., Spark, Kafka versions).
- Dockerfiles are shell-based; audit RUN layers for hardening (non-root user, minimal layer count, CVE patching); SonarCloud security rating visible but not detailed.
- Multi-distro support increases maintenance surface area; test your chosen base OS (Alpine vs. Ubuntu) in target orchestrator (Kubernetes, ECS) before production rollout.
- No digest-pinning strategy mentioned; DockerHub images may overwrite tags; implement pull-by-digest or rebuild images locally if reproducibility is required.
When to avoid it — and what to weigh
- Production hardening required — Single-author maintained project; no formal security audit, vulnerability disclosure process, or SLA. Unsuitable if compliance (SOC2, PCI-DSS) mandates vendor accountability.
- Need commercial support or long-term stability guarantees — No release versioning, SemVer, or deprecation warnings evident. Maintainer may discontinue support; images tagged latest are unpredictable across time.
- Minimal image footprint is critical — Supports multiple base OSes; images not optimized for size. For resource-constrained container registries or edge deployments, official minimal images may be preferable.
- Air-gapped or fully offline deployments — Images must be pulled from DockerHub or rebuilt locally; no embedded artifact caching or mirror strategy evident in the data.
License & commercial use
Licensed under MIT (Massachusetts Institute of Technology License), an OSI-approved permissive license. Allows commercial use, modification, and distribution with minimal restrictions (attribution required).
MIT license explicitly permits commercial use without license fees or vendor approval. However, the single-author nature and lack of formal support or indemnification means commercial users assume all liability for image security, stability, and compatibility. Not a substitute for vendor support.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
SonarCloud security rating badge present but not quantified in data. Shell-based Dockerfiles should be reviewed for: privilege escalation vectors, hardcoded secrets, vulnerable base image versions, and unnecessary build tools in final layers. No documented vulnerability disclosure process or security.txt visible. Images run third-party software (Hadoop, Spark, Cassandra); track upstream CVEs independently.
Alternatives to consider
Official vendor images (Confluent, Databricks, etc.)
Vendor-maintained, versioned, and backed by commercial support. Preferred if your team standardizes on a single platform (e.g., Confluent for Kafka).
Distroless or minimal images (Google Distroless, Alpine base)
Smaller attack surface and image size; recommended for production if you control the application runtime, not pre-packaged infrastructure tools.
Community images on Bitnami or OperatorHub
Wider review cycle, semver releases, and integration with Helm; better for large-scale Kubernetes deployments requiring updates and rollback.
Build on Dockerfiles with DEV.co software developers
This project is ideal for dev/test environments and CI/CD pipeline references. For production workloads requiring versioning, security patches, and vendor support, consult our DevOps specialists to evaluate vendor-maintained or commercial alternatives.
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Dockerfiles FAQ
Can we use these images in production?
Do these images have specific version tags (e.g., Spark 3.2.1)?
Can we modify and republish these images?
Is there a Kubernetes Helm chart or operator included?
Custom software development services
Need help beyond evaluating Dockerfiles? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and open-source devops integrations — and maintain them long-term.
Need Production-Ready Container Images?
This project is ideal for dev/test environments and CI/CD pipeline references. For production workloads requiring versioning, security patches, and vendor support, consult our DevOps specialists to evaluate vendor-maintained or commercial alternatives.