Buddy Reviews

1. firomero

   · Developer at Codechanic · over 5 years ago
   Buddy Rocks

   I have around two years when met buddy for my personal projects. I found it intuitive and great. I almost can set up pipelines with closed eyes. It helped me with development and learning. I recommend also startups and mature projects.

   🏁 Competitors: Jenkins

   👍 Pros:    Intuitive|Easy to use|Verbose|Great user experience

   👎 Cons:    A bit expensive
2. Jalib Hussain Khan

   · Software Engineer at All Resource Technologies · over 5 years ago
   Best there ever was

   Buddy works is the most awesome automating CI application, it lets you deploy sites at the best convenience. It also automatically detects the type of language your application uses and gives you the recommendation regarding the commands which should be executed

   🏁 Competitors: CircleCI, Codeship, Travis CI
3. Lucas Pereira

   · CTO at Tezus · over 5 years ago
   The best solution for continuous delivery

   I have a eCommerce company and the Buddy helps us to delivery all projects and maintain the our platform updated. The Buddy is easy to implements and easy to operate, definitively, the best solution

   🏁 Competitors: CircleCI, Travis CI

   👍 Pros:    Easy to use|Easy user interface|Easy integration|Fast|Database documentation|Tools integrations|Visual

   👎 Cons:    Higher base price

Prometheus Reviews

Buddy mentions (10)

• Most Useful CI/CD Tools for DevOps

  Buddy CI/CD is an automation platform designed to streamline and accelerate software development and deployment processes. By emphasizing simplicity and efficiency, Buddy offers an intuitive UI that allows teams to set up, monitor, and execute pipelines with minimal friction. - Source: dev.to / over 2 years ago

• We use GitHub Actions to build GitHub

  We switched to buddy.works[0] about a year ago and honestly it’s just been… smooth. The UI is just great, the wealth and breadth of options is ever increasing and all the basics like knowing what went wrong, restarting, debugging, duplicating etc just work as you’d expect. One of the few companies I can recommend. [0] https://buddy.works. - Source: Hacker News / over 4 years ago

• Learn to push an empty commit

  For continuous integration, we are using Buddy delivery pipelines which allow us to build, test and deploy applications on a single push to a specific git branch. It helps us to reduce the manual overhead of deploying code to the server and handle all the actions automatically. - Source: dev.to / over 4 years ago

• Free for dev - list of software (SaaS, PaaS, IaaS, etc.)

  Buddy.works — A CI/CD with 5 free projects and 1 concurrent runs (120 executions/month). - Source: dev.to / almost 5 years ago

• Hide & Seek Code: Part II

  That is when we found out about Buddy. Buddy is one of those easy DIY devops tools out there. Best part is the UI and how easy it is to create a deployment pipeline. - Source: dev.to / about 5 years ago

Prometheus mentions (300)

• My homelab stack in 2026: what runs, why, and how it all connects

  Prometheus scrapes metrics from the stack. Node exporter covers the host, cAdvisor covers containers, and individual services expose their own endpoints where supported. The main value isn't dashboards (though those exist) - it's having a queryable record of system state over time, and a place to hook alerts when something drifts. - Source: dev.to / 25 days ago

• Best Open Source Monitoring Tools in 2026: 7 Self-Hosted Options Compared

  Prometheus is the industry-standard time-series database for infrastructure metrics. Paired with Grafana for visualization and Alertmanager for routing, it forms the backbone of monitoring at companies from startups to Netflix-scale deployments. This isn't a single tool — it's an ecosystem. - Source: dev.to / about 1 month ago

• Rate Limiting in Spring Boot REST APIs: Bucket4j + Redis

  To monitor and analyze rate limiting metrics, we're using a combination of Redis and Prometheus. We're storing rate limiting metrics in Redis and then using Prometheus to scrape the metrics and display them in a dashboard. Here's an example of how we're storing rate limiting metrics in Redis:. - Source: dev.to / about 1 month ago

• Chronos vs Toto: Zero-Shot Forecasting Benchmark Results

  In this post, we compare two forecasting models, Chronos (Chronos‑Bolt) and Toto, on telemetry from Prometheus and OpenSearch. We judge them with two easy metrics: MASE for point accuracy and CRPS for the quality of uncertainty. - Source: dev.to / about 2 months ago

• The Real Cost of Silent Data Pipeline Failures

  For monitoring infrastructure, Prometheus and Grafana are widely used for pipeline metrics collection and alerting. For orchestration that includes built-in run observability, Apache Airflow tracks run history, task durations, and failure states in a web UI. Python with SQLAlchemy is the standard stack for custom pipeline implementation with relational state management. - Source: dev.to / 3 months ago