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title: Best TimescaleDB posts of 2025 | daily.dev
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# Best of TimescaleDB — 2025

1. 1  
[](/posts/dashboards-and-detergent-how-two-students-monitor-laundry-machines-in-a-college-dorm-with-grafana-yc5vu1rxx "Dashboards and detergent: How two students monitor laundry machines in a college dorm with Grafana")  
Article  
![Avatar of grafana](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/769cb8df467e4c428abd75e0c2491d1d)Grafana Labs · 1y  
Dashboards and detergent: How two students monitor laundry machines in a college dorm with Grafana  
Two college students developed a system using Grafana and TimescaleDB to track laundry machine usage in dorms. They used internet-connected laundry machines' data, building a real-time dashboard that also records metrics like machine popularity and usage times. This creative approach demonstrates Grafana's versatility beyond typical network monitoring and hints at future integration possibilities with weather data or gamification.  
84  
3
2. 2  
[](/posts/how-i-scaled-my-app-with-distributed-actors-wasm-reba8dbq8 "How I Scaled My App with Distributed Actors & WASM")  
Video  
![Avatar of anthonygg](https://media.daily.dev/image/upload/s--fplXcoot--/f_auto/v1729363192/logos/anthonygg)Anthony GG · 2y  
How I Scaled My App with Distributed Actors & WASM  
The post discusses the development and scaling of the Market Monkey trading terminal using Golang for both the backend and frontend. The application operates as both a desktop and web app via WebAssembly. The backend utilizes distributed actors for service communication and TimescaleDB for time-series data storage. Optimizations for WebAssembly, handling of websocket communications, and future scripting capabilities are also highlighted.  
20
3. 3  
[](/posts/how-timescaledb-helped-us-scale-analytics-and-reporting-tucwvjfnd "How TimescaleDB helped us scale analytics and reporting")  
Article  
![Avatar of cloudflare](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/38522e1d11354cd6b7af66f9d4316735)Cloudflare · 1y  
How TimescaleDB helped us scale analytics and reporting  
Cloudflare migrated from vanilla PostgreSQL to TimescaleDB for their Digital Experience Monitoring and Zero Trust Analytics products, achieving 5-35x query performance improvements and 33x storage compression. The team initially chose PostgreSQL over ClickHouse to maintain architectural simplicity, but as data scaled to billions of rows, they needed better performance. TimescaleDB provided automatic partitioning, continuous aggregates, columnstore compression, and sparse indexes while maintaining PostgreSQL compatibility. Key optimizations included proper index column ordering, compression policies, and segmentation strategies that dramatically improved query latency and reduced storage costs.  
15

[See all TimescaleDB archives](/tags/timescaledb/best-of)

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