
Key Considerations for Firebase AI Logic: Managing Cost, Security, and Rate Limits
A practical guide to managing Firebase AI costs, implementing security with App Check, and setting effective rate limits when using Firebase AI Logic
A practical guide to managing Firebase AI costs, implementing security with App Check, and setting effective rate limits when using Firebase AI Logic
Firebase Security Rules are crucial for app safety but often misconfigured. Dive into common pitfalls and learn best practices—from emulator testing to unit tests—to write robust rules and clear this hidden development hurdle.
This Jira plugin allows development teams to integrate Firebase feature flags directly into their Jira workflows. 1 Users can link, view, and toggle Firebase feature flags (from Firebase Remote Config) from within a Jira ticket, eliminating the need to switch to the Firebase console. 2 This streamlines the release process, improves collaboration between QA, product teams, and developers, and supports CI/CD practices by enabling safer, more controlled feature rollouts. The plugin aims to reduce context switching and centralize feature release management within Jira.
Explore the emerging threat of Denial of Wallet (DoW) attacks on Firebase projects, see illustrative cost examples, and learn practical strategies to protect your cloud budget.
A comprehensive guide on optimising Firebase costs by minimising function invocations, reducing execution time, optimising memory usage, and refining database queries.
Discover effective strategies to optimize Firebase Storage costs with technical implementations covering data compression, bandwidth optimization, lifecycle management, and more.
Learn which Firebase services are prone to high costs, what triggers unexpected billing spikes, and how to manage your Firebase costs effectively.
Read on to look at how to update password requirements in Firebase, and follow best practices when using Firebase authentication