Database Technology

Amazon Timestream for InfluxDB 3 Enterprise now supports clusters with up to 15 nodes, allowing distinct role separation for ingestion, querying, and compaction. This update enables teams to choose between vertical and horizontal scaling strategies to balance performance with cost. The guidance focuses on right-sizing infrastructure to ensure stability under varying workload demands.

• Clusters now support max 15 nodes with specialized roles for ingestion, query, and compaction.
• Separating roles allows precise resource allocation for mixed workloads.
• Evaluate vertical vs horizontal scaling to optimize for both stability and cost.
• New scaling options help isolate heavy ingestion from latency-sensitive queries.

A recent guide outlines operational strategies for maintaining PostgreSQL reliability in high-growth startup environments. The article emphasizes proactive monitoring, connection pooling, and query optimization to prevent common failure modes. It serves as a pragmatic reference for engineering teams managing database infrastructure under pressure.

• Prioritize connection pooling to manage resource contention during traffic spikes.
• Implement robust monitoring for slow queries and lock contention early.
• Design schema changes to be non-blocking to avoid downtime during deployments.
• Automate backup verification and restore drills to ensure data recoverability.

PostgreSQL automatically flattens subqueries in the FROM clause into the outer query to enable better join planning, but only if the resulting join problem remains within a manageable size. This behavior is governed by the from_collapse_limit GUC, which sets the threshold for the number of join inputs before flattening is disabled. Understanding this limit helps explain why certain query plans may differ based on subquery complexity.

• Subquery flattening is enabled by default to improve join optimization opportunities.
• The from_collapse_limit GUC caps the number of join inputs for flattening.
• Exceeding the limit prevents flattening, potentially leading to suboptimal plans.
• Tuning this GUC may be necessary for complex queries with many joins.

Amazon RDS for SQL Server 2025 introduces the sp_invoke_external_rest_endpoint stored procedure. This feature allows developers to call AWS services and external HTTPS endpoints directly from T-SQL code. The capability eliminates the need for intermediate application layers to trigger cloud actions during database operations.

• Use sp_invoke_external_rest_endpoint to trigger AWS services from T-SQL.
• Supports both AWS services and arbitrary external HTTPS endpoints.
• Reduces latency by removing intermediate application logic.
• Available immediately in Amazon RDS for SQL Server 2025.

AWS Database Blog outlines four connection pooling strategies for Amazon Aurora DSQL to mitigate connection overhead and respect the 100-connections-per-second rate limit. These approaches are designed to prevent thundering-herd reconnection storms during scaling events or failures. The guidance provides a production-ready checklist for configuring pools to maintain reliable performance at scale.

• Aurora DSQL enforces a strict 100-connections-per-second rate limit that must be respected.
• Implement pooling strategies to reduce connection overhead and avoid thundering-herd storms.
• Use the provided checklist to configure connection pools for reliable high-scale performance.
• Proper pooling is critical to staying within rate limits during scaling or failure scenarios.
• The blog offers concrete strategies rather than abstract concepts for immediate implementation.