Watchlog
The lightweight, self-hosted monitoring platform
18 followers
Monitor your servers, services, logs, and metrics in seconds — no config, no bloat. Loved by DevOps engineers. Start for free in 30 seconds.
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18 followers
Monitor your servers, services, logs, and metrics in seconds — no config, no bloat. Loved by DevOps engineers. Start for free in 30 seconds.
Hey Mohammad Najm, congrats on launching Watchlog! 🎉 A lightweight, self-hosted monitoring platform is a fantastic offering, especially for teams prioritizing data control and customization – addressing a real need there. The "no config, no bloat" approach sounds very appealing.
As someone building a platform (@UNI AI) where performance and reliability are key, I appreciate tools that provide clear visibility into infrastructure health. The clean dashboard looks great for tracking logs, services, and metrics easily.
Question: How does Watchlog handle scalability? As users monitor more servers and services, how does the performance of the self-hosted instance hold up, particularly regarding log ingestion and real-time querying?
Looks like a solid tool for DevOps teams. Wishing you a successful launch! 📊⚙️
@theo_l Hey Theo, thank you so much for your thoughtful comment and encouragement! 🙌 I really appreciate you taking the time to dive into Watchlog and share your thoughts.
About scalability and architecture:
Flexible Deployment: Watchlog offers two modes:
You can use the Free or Pro Panel — a cloud-hosted shared environment with instant onboarding.
Or request a dedicated server, where we deploy an isolated instance of Watchlog exclusively for your data, without any shared infrastructure.
Optimized Agent: Our lightweight agent installs with a single command and no prerequisites. It batches and compresses logs and metrics efficiently. In real-world deployments, we’ve handled over 500 million events per month per server, with the agent consuming less than 300MB of RAM.
Scalable Architecture: The backend is engineered for high load: specialized databases for events and logs, services running in clusters to distribute query load, and optimized ingestion pipelines. A single server can support 50+ customers at that scale, and scaling horizontally by adding new servers is seamless. Each user or team gets a dedicated endpoint for clean isolation.
Real-time Performance: Thanks to smart indexing, caching, and asynchronous processing, Watchlog provides fast querying even under high throughput.
Roadmap: We’re continuously expanding horizontal scaling features to support even heavier deployments in the future.
Watchlog was built for simplicity, performance, and flexibility — ready to grow with your needs.
Thanks again for your great question — and UNI AI sounds fascinating! 🚀 Would love to hear more about it!