Service and Support
Customers have mixed experiences with Bamboo's service and support. Responses on forums and ticket systems are generally helpful but can be delayed. Some find the support consistently good and prompt, highlighting rapid responses via Slack channels. Others manage issues in-house, only contacting Bamboo for complex problems. There's room for improvement in security-related inquiries. Many users rely on Bamboo's large community and documentation to solve common problems, finding solutions engaging and resourceful.
Deployment
Bamboo's initial setup is generally easy, resembling other Atlassian products. It requires more configuration compared to Jenkins but supports various databases, enhancing its enterprise utility. While installation is straightforward for experienced teams, pipeline creation can be challenging. Deployment time varies, typically taking hours. Some encounter difficulties if configurations are not met. Users rate it positively, with scores around seven to nine out of ten, despite complexities when not on cloud infrastructures.
Scalability
Bamboo's scalability garners mixed feedback. Many note its capability to expand with remote agent technology, yet cost and infrastructure can be challenging. Enterprises often find it scalable, with some rating it highly. However, some mention issues with large-scale usage and agent limitations. It effectively scales for various business sizes, but success varies based on specific needs and investment willingness. Factors like on-premise deployment impact its scalability, rated from six to ten by different users.
Stability
Many users find Bamboo stable, though occasional issues like server downtimes, deployment hangs, and compatibility problems arise. Adjusting heap settings and ensuring proper Java versions mitigate these problems. Support response is generally timely. Stability ratings vary from five to ten out of ten, indicating diverse user experiences. Most agree that Bamboo performs well, but some users note it depends on compatible library updates for optimal functioning. A few users mention that their own script issues affect stability perception.