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Do you really need separate systems when you already have Postgres?
TL;DR
Many software teams overcomplicate their architecture by using multiple databases and microservices for different tasks. Instead, Postgres can handle a variety of functions, reducing operational complexity.
✦ Why It Matters
Consider consolidating your data architecture by leveraging Postgres for multiple functions to reduce complexity.
Key Takeaways
- Evaluate if multiple databases are necessary for your project.
- Consider using Postgres for caching, search, and document storage.
- Reduce operational complexity by minimizing the number of services.
- Focus on core product development instead of managing multiple systems.
Full Summary
Software teams often adopt multiple databases and microservices for caching, search, and background jobs, leading to increased operational overhead. For instance, they might use Redis for caching, Elasticsearch for search, and MongoDB for document storage, resulting in a complex architecture with various failure modes and maintenance requirements.
The argument presented suggests that most projects do not reach the scale that necessitates such complexity, with only about 0.3% achieving 'webscale'. By relying on Postgres, which is versatile enough for many use cases, teams can simplify their architecture.
This approach minimizes the number of systems to monitor, reduces costs, and streamlines debugging processes. Ultimately, consolidating to a single database can enhance efficiency and focus on core product development.