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Traditional PostgreSQL benchmarks measuring peak throughput often miss critical production realities. While a benchmark might show 80,000 inserts per second with clean latency, production reveals different constraints after months of continuous operation. The real metric is sustained throughput ceiling - the write rate where all maintenance processes (autovacuum, checkpointing, WAL archiving, replication) can keep pace indefinitely. This ceiling drops as data grows due to four mechanisms: hot data exceeding available RAM, autovacuum falling behind and competing for I/O, index degradation from fragmentation and size growth, and continuous WAL generation overwhelming replicas. Bounded benchmarks miss these issues because they run briefly on fresh systems. Better benchmarks should run for hours against realistic data volumes, monitoring autovacuum activity, checkpoint pressure, replica lag, and WAL generation rates to reveal the true architectural limits before production deployment.

Neon discusses their approach to zero-downtime patching, focusing on prewarming techniques. The company prioritizes database availability through redundancy and automatic failover systems. While unplanned failures are statistically expected in large-scale systems, Neon has developed methods to minimize downtime during planned maintenance and patches. This is part one of a series exploring their zero-downtime patching strategies, which are crucial for maintaining continuous service availability in production PostgreSQL environments.

PostgreSQL is moving away from MD5 authentication due to security concerns, following community discussions about deprecating this widely-used password hashing method. While MD5 has been popular for its simplicity and low overhead, the PostgreSQL community is signaling a shift toward more secure alternatives. This change reflects growing awareness of MD5's cryptographic vulnerabilities and the need for stronger authentication mechanisms. Database administrators should prepare for this transition by evaluating and implementing more secure password authentication methods in their PostgreSQL deployments.

This post summarizes KubeCon 2026, highlighting a busy booth with engaged attendees asking thoughtful questions. The conversations centered on PostgreSQL and data sovereignty. The author thanks everyone who contributed to the event's success and invites readers to enjoy the recap. The post is tagged with KubeCon, CloudNative, PostgreSQL, DataEngineering, and DevOps.

Planned maintenance causes more database disruption than actual hardware failures. Databases are patched far more often than they experience outages, but each patch requires maintenance windows, severed connections, and a cold cache that degrades performance for minutes after restart. This is Part 1 of a series on eliminating the impact of planned maintenance entirely, with automatic rollout over the coming weeks.

Less than a week remains to enter a giveaway for a brand new Raspberry Pi. To participate, users need to leave feedback on an open-source MCP Server for PostgreSQL, a project designed by the creator of pgAdmin and core PostgreSQL team member. The project offers features including token efficiency, TLS support, input validation and sanitization. The giveaway closes on March 31st, and the winner will be announced and contacted on April 1st.

Google has introduced new "switching tools" that enable users to transfer their chats and personal information from other chatbots directly into Gemini. This feature is designed to make it easier for users of competing AI assistants to migrate to Google's chatbot platform. The tools allow for seamless data portability, potentially giving Google a competitive advantage in the crowded AI assistant market. This move represents Google's effort to capture users from rival platforms by removing friction in the switching process and leveraging existing user data and conversation history.

A federal judge has issued an injunction ordering the Trump administration to rescind recent restrictions placed on AI company Anthropic. The ruling comes amid what appears to be tensions between the AI company and the Defense Department. This legal victory for Anthropic suggests there were significant regulatory or contractual disputes that threatened the company's operations or government relationships. The injunction represents a notable clash between private AI companies and the current administration's policies, highlighting ongoing regulatory uncertainties in the AI sector.

Aetherflux is reportedly raising a Series B funding round valued at $2 billion, with Index Ventures said to be leading the investment of between $250 million and $350 million. This substantial funding round and valuation suggest strong investor confidence in Aetherflux's business model and growth potential. The significant capital raise indicates the company is likely scaling operations or expanding into new markets. Index Ventures' leadership role demonstrates major venture capital firm support for the company's strategic direction and future prospects.