Self-Hosted Alternatives to Loggly

Why Replace Loggly?

Loggly (owned by SolarWinds) prices by daily log volume. Their free “Lite” plan allows 200 MB/day with 7-day retention. Paid plans start at $79/month for 1 GB/day (Standard) and jump to $159/month for 5 GB/day (Pro). Enterprise pricing is custom and typically runs $500+/month.

Updated February 2026: Verified with latest Docker images and configurations.

For a logging service that essentially indexes and searches text, these prices are steep. A $20/month VPS running Graylog or Loki handles the same volume with unlimited retention and no artificial caps.

Loggly’s other weakness is its SolarWinds ownership. After the 2020 supply chain attack that compromised SolarWinds’ software build system and affected 18,000+ organizations, routing your application logs — which may contain tokens, user data, and infrastructure details — through SolarWinds infrastructure is a risk worth eliminating.

Best Alternatives

Graylog — Best Full Replacement

Graylog is the most feature-complete Loggly replacement. It matches Loggly’s core capabilities: centralized log collection, full-text search, dashboards, and alerting. The v7.0 release introduced DataNode, an integrated search backend that replaces the old Elasticsearch/OpenSearch dependency.

Where Graylog exceeds Loggly: pipeline processing rules let you parse, enrich, and route logs before storage. The extractors system handles structured and unstructured data formats. No daily volume caps.

Docker stack: Graylog + DataNode + MongoDB (3 containers, 4+ GB RAM).

[Read our full guide: How to Self-Host Graylog]

Grafana Loki — Best for High Volume

If your main reason for leaving Loggly is cost at scale, Loki is the answer. It indexes only labels (not full log content), which reduces storage costs by 10–100x compared to full-text indexing. At 50 GB/day — where Loggly would cost $500+/month — Loki runs on a $40/month VPS.

Loki pairs with Grafana for visualization and Promtail for collection. The stack is well-documented, widely deployed, and actively maintained by Grafana Labs.

Docker stack: Loki + Promtail + Grafana (3 containers, 1–4 GB RAM).

[Read our full guide: How to Self-Host Loki]

Dozzle — Best for Small Docker Setups

Dozzle is for teams whose “logging” needs amount to “I want to see what my Docker containers are doing.” No agents, no configuration, no log forwarding pipelines. Deploy one container, mount the Docker socket, and browse logs in a clean web UI.

Dozzle doesn’t store logs — it reads Docker’s own log files in real time. For persistent storage and search, use Graylog or Loki. For quick troubleshooting and real-time monitoring, Dozzle is unbeatable.

Docker stack: 1 container, 50 MB RAM.

[Read our full guide: How to Self-Host Dozzle]

Migration Guide

Setting Up Log Collection

Loggly uses HTTP/S and Syslog endpoints. Replace them with your self-hosted equivalent:

Replace Loggly’s HTTP endpoint with Graylog GELF:

# Old: sending to Loggly
curl -X POST \
  https://logs-01.loggly.com/inputs/YOUR-TOKEN/tag/http/ \
  -H "Content-Type: application/json" \
  -d '{"message": "test log"}'

# New: sending to Graylog GELF HTTP
curl -X POST \
  http://graylog:12201/gelf \
  -H "Content-Type: application/json" \
  -d '{"version":"1.1","host":"app-01","short_message":"test log"}'

Replace Loggly’s Syslog with Graylog Syslog input:

# /etc/rsyslog.d/90-graylog.conf
*.* @graylog-server:5140;RSYSLOG_SyslogProtocol23Format

Replace Loggly with Promtail for Loki:

# /etc/promtail/config.yml
server:
  http_listen_port: 9080
clients:
  - url: http://loki:3100/loki/api/v1/push
scrape_configs:
  - job_name: application
    static_configs:
      - targets: [localhost]
        labels:
          app: myapp
          env: production
          __path__: /var/log/myapp/*.log

Recreating Loggly Dashboards

Loggly’s dashboard widgets map to Grafana panels:

Loggly Widget	Grafana Equivalent
Log volume over time	Time series panel with count_over_time()
Top sources	Bar chart with topk()
Error rate	Stat panel with LogQL rate query
Search results	Logs panel with label filters
Anomaly detection	Alert rules with thresholds

Updating Application Logging Libraries

Most application logging libraries support multiple backends. Replace Loggly-specific libraries:

Language	Loggly Library	Self-Hosted Replacement
Node.js	winston-loggly-bulk	winston-loki or winston-gelf
Python	loggly-handler	python-logging-loki or pygelf
Java	logback-loggly-appender	logback-gelf
Ruby	logglier	loki-logger or GELF gem

Cost Comparison

	Loggly	Self-Hosted (Graylog)	Self-Hosted (Loki)
1 GB/day	$79/month	$0	$0
5 GB/day	$159/month	$0	$0
15 GB/day	$349/month	$0	$0
Infrastructure	Included	$20–60/month VPS	$10–40/month VPS
Retention	15–90 days	Unlimited	Unlimited
Users	3–unlimited	Unlimited	Unlimited
Annual cost (5 GB/day)	$1,908	$240–720	$120–480
3-year cost (5 GB/day)	$5,724	$720–2,160	$360–1,440

What You Give Up

• Pre-built source integrations — Loggly has one-click setup for Heroku, AWS CloudWatch, Docker, and many SaaS platforms. Self-hosted requires manual log forwarding configuration.
• Automated parsing — Loggly auto-detects log formats (JSON, Apache, Nginx, etc.). Graylog requires configuring extractors or pipelines. Loki relies on Promtail’s pipeline stages.
• Anomaly detection — Loggly Pro includes automated anomaly detection. Self-hosted alternatives require manual threshold-based alerting.
• Multi-region redundancy — Loggly runs across multiple availability zones. Self-hosted is as redundant as you make it.
• SOC 2 compliance — Loggly holds compliance certifications. Self-hosted compliance depends on your own security controls.

For the 75%+ savings, most teams find these trade-offs acceptable.

FAQ

How much RAM does Graylog need compared to Loggly’s cloud solution?

Graylog with DataNode and MongoDB needs 4+ GB RAM minimum — 8 GB is recommended for production workloads processing 1+ GB/day. Loki is lighter at 1-2 GB RAM for moderate volumes. Dozzle needs just 50 MB. Compare this to Loggly where you pay $79-349/month and don’t think about infrastructure. The trade-off is clear: a $20-40/month VPS replaces $1,000-4,000/year in Loggly costs, but you manage the infrastructure.

Can I keep logs indefinitely instead of Loggly’s retention limits?

Yes. Self-hosted log storage has no artificial retention caps — keep logs as long as your disk allows. Loggly limits retention to 15-90 days depending on plan. With Graylog, configure index rotation by size or age, and archive old indices to cheap storage (S3, Backblaze B2) for long-term retention. Loki supports similar retention policies plus the ability to store old logs on object storage at $5/TB/month.

How do I send Docker container logs to Graylog or Loki?

For Graylog: use Docker’s GELF log driver — add logging: { driver: gelf, options: { gelf-address: "udp://graylog:12201" } } to each service in your Docker Compose file. For Loki: install the Loki Docker plugin (docker plugin install grafana/loki-docker-driver) and set it as the logging driver, or use Promtail to tail Docker log files. Both approaches capture all container stdout/stderr without modifying your applications.

Can Loki do full-text search like Loggly?

Not exactly. Loki indexes log labels (app name, environment, container) but stores log content unindexed. You can filter by labels instantly and then grep through matching log lines. For most operational queries (“show me errors from the API service in the last hour”), this is just as fast as full-text indexing. For complex full-text search across all logs (“find every occurrence of a specific UUID”), Graylog with its full-text index is a better choice. Loki optimizes for cost, Graylog for search power.

How do I set up alerts for errors in self-hosted logging?

Graylog has built-in alerting: create alert conditions on streams (e.g., “more than 10 ERROR logs in 5 minutes”), and configure notifications via email, Slack, PagerDuty, or webhooks. With Loki, alerting runs through Grafana: create LogQL queries that trigger alerts when error patterns exceed thresholds. Both approaches replicate Loggly’s alert functionality. For simple monitoring, Uptime Kuma complements your log alerts with endpoint health checks.

Is Dozzle sufficient for a small Docker homelab?

Yes — if your needs are “see what my containers are doing right now,” Dozzle is perfect. It reads Docker logs in real-time with zero configuration (one container, mount the Docker socket). The limitation: Dozzle doesn’t store or index logs. When you need to search yesterday’s logs or build dashboards, you need Graylog or Loki. For homelabs with under 20 containers where you primarily troubleshoot in real-time, Dozzle alone is often enough.

Can I migrate my existing Loggly dashboards and saved searches?

Not directly — there’s no export/import path between Loggly and self-hosted tools. You’ll recreate dashboards manually. The good news: Grafana’s dashboard builder (used with Loki) is more flexible than Loggly’s, and Graylog’s dashboard system is comparable. Map each Loggly saved search to a Graylog stream or Grafana LogQL query. The migration effort for dashboards is typically 1-2 hours for a standard setup with 5-10 dashboards.

Related

• Best Self-Hosted Log Management
• How to Self-Host Graylog
• How to Self-Host Loki
• How to Self-Host Dozzle
• How to Self-Host Promtail
• Self-Hosted Alternatives to Splunk
• Self-Hosted Alternatives to Papertrail
• Self-Hosted Alternatives to Datadog
• Graylog vs Elasticsearch