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Open-Source Observability · sherifabdlnaby

elastdocker

Elastdocker is a Docker Compose setup that runs Elastic Stack (Elasticsearch, Kibana, Logstash) v9+ with security, monitoring, and APM enabled by default. It's designed to start a production-like single-node cluster with a single command, suitable for demos, MVPs, and small deployments.

Source: GitHub — github.com/sherifabdlnaby/elastdocker
2.1k
GitHub stars
339
Forks
Dockerfile
Primary language
MIT
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositorysherifabdlnaby/elastdocker
Ownersherifabdlnaby
Primary languageDockerfile
LicenseMIT — OSI-approved
Stars2.1k
Forks339
Open issues4
Latest releasev4.1.0 (2026-06-21)
Last updated2026-06-21
Sourcehttps://github.com/sherifabdlnaby/elastdocker

What elastdocker is

A Docker Compose orchestration template that bundles Elasticsearch, Kibana, Logstash, Metricbeat, and Filebeat with pre-configured TLS, keystores, heap settings, and health checks. Supports automatic Docker container log collection, self-monitoring via Metricbeat, and optional multi-node clustering for experimentation.

Quickstart

Get the elastdocker source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/sherifabdlnaby/elastdocker.gitcd elastdocker# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Log aggregation and analysis for containerized environments

Rapidly ingest and analyze logs from all Docker containers on a host using Filebeat discovery, with pre-built Kibana dashboards and zero additional configuration.

Rapid ELK prototyping and MVP deployment

Start a production-oriented ELK stack with security (TLS, keystore) and monitoring enabled in minutes, avoiding manual configuration of Elasticsearch, Kibana, and Logstash.

Observability platform for small to medium deployments

Single command setup supports logging, metrics, APM, alerting, machine learning, and SIEM features, reducing the operational burden of managing separate observability tools.

Implementation considerations

  • Requires Docker 20.05+ and Docker Compose v2; Linux hosts must set vm.max_map_count=262144 to prevent Elasticsearch startup failures.
  • Minimum 4GB RAM allocated to Docker (critical for macOS/Windows VMs). Heap sizes are tunable via .env but default to 1GB (development-grade).
  • Uses `mise` task runner for orchestration (also supports raw docker-compose commands). Setup script generates Elasticsearch keystore and TLS certs into ./secrets directory.
  • Data persists in a named volume (elasticsearch-data). Backup strategy, retention policies, and disaster recovery must be implemented separately.
  • Default credentials (elastic:changeme) must be changed immediately via ELASTIC_PASSWORD in .env and keystore regeneration.

When to avoid it — and what to weigh

  • Enterprise multi-cluster, geo-distributed deployments — This is explicitly designed as single-node production or multi-node experimentation only. Large-scale distributed clusters require Elastic Cloud or custom orchestration (Kubernetes).
  • You require Elastic-supported commercial SLAs — This is community-maintained open source. No vendor support, SLAs, or update guarantees. Production use depends entirely on your own operational readiness.
  • You need automatic Elastic Stack security patches and version management — You must manually manage version upgrades, CVE tracking, and keystore regeneration. Breaking changes exist between major versions (e.g., 8.x to 9.x).
  • Self-signed TLS is not acceptable for your security posture — The template generates self-signed certificates by default. Production use requires SSL termination with signed certificates at your infrastructure edge.

License & commercial use

MIT License. Permits commercial use, modification, and distribution with no warranty and minimal attribution requirements. The Elastic Stack components bundled inside (Elasticsearch, Kibana, Logstash) are governed by the Elastic License and Server Side Public License (SSPL); review Elastic's licensing docs separately for restrictions on features and commercial use.

The Elastdocker template itself is MIT-licensed and freely usable in commercial contexts. However, the Elastic Stack components it orchestrates operate under dual licensing (Elastic License + SSPL) with feature gates tied to subscription tiers. Basic features (logging, metrics) are free; advanced features (APM, ML, SIEM at full scale) may require a paid Elastic subscription. Confirm your use case against current Elastic licensing terms before production deployment.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

SignalAssessment
MaintenanceActive
DocumentationAdequate
License clarityNeeds review
Deployment complexityLow
DEV.co fitGood
Assessment confidenceHigh
Security considerations

Security is enabled by default: TLS on transport layer, Elasticsearch keystore for credential storage, Basic license (not Trial), HTTP SSL enabled, and health checks included. Self-signed certificates require SSL termination in production. No vulnerability scanning, penetration testing, or third-party security audit data provided. Keystore and cert generation is scriptable but regeneration must be manual. Credentials are parameterized (.env) but not encrypted at rest. Default password must be changed immediately. No mention of RBAC, audit logging, or compliance certifications.

Alternatives to consider

deviantony/docker-elk

Popular ELK Docker Compose template; simpler but uses hardcoded credentials, Trial license, and lacks production-mode SSL. Elastdocker is explicitly positioned as more production-ready alternative.

Elastic Cloud

Fully managed SaaS by Elastic; handles security, scaling, backups, and updates. Choose this if you need vendor SLA, automatic patching, and don't want to manage infrastructure.

Elastic on Kubernetes (ECK)

If you run Kubernetes, ECK provides native operator-based Elasticsearch/Kibana deployment with better scaling and lifecycle management than Docker Compose.

Software development agency

Build on elastdocker with DEV.co software developers

Elastdocker gets your ELK stack running in minutes with security and monitoring enabled. Start your next log aggregation, metrics, or APM project today.

Talk to DEV.co

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elastdocker FAQ

Can I use this in production?
Partially. The template provides security (TLS, keystore) and monitoring by default, making it suitable for small production deployments and MVPs. For large/critical workloads, you must add: CA-signed certs, external backup/restore, disaster recovery, monitoring integration, and operational runbooks. No Elastic vendor SLA.
How do I change the Elastic Stack version?
Set ELK_VERSION in .env (default 9.4.2) and rebuild with `mise run build`. Any version >= 9.0.0 is compatible. Upgrades from 8.x to 9.x require migration steps documented in the README.
Do I need Elastic subscription?
No for basic logging/metrics. Basic license is free and enables Core features. Advanced features (APM, ML, SIEM at scale) may require paid subscription; verify against Elastic's current licensing.
What happens to my data if I run `mise run prune`?
All containers, volumes, and data are deleted. Always backup elasticsearch-data volume before pruning. Data persistence is not automatic.

Custom software development services

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If elastdocker is part of your open-source observability roadmap, our team can implement, customize, migrate, and maintain it.

Ready to deploy observability fast?

Elastdocker gets your ELK stack running in minutes with security and monitoring enabled. Start your next log aggregation, metrics, or APM project today.