Atlassian details the Forge billing platform built for usage-based pricing across its cloud ecosystem. It processes large-scale usage events with correct attribution, deduplication, and...
By Amer Hesson, Marcelo Mayworm, James Mulcahy, and Brittany TruongThe Problem: Managing Assets at Netflix ScaleNetflix’s Data Platform is vast. We have millions of tables in our data warehouse...
Vinay Chella and Akshat Goel discuss the challenges of running traditional CDC across heterogeneous databases during peak order traffic. They explain how Debezium hit limits under high load and...
Adi Polak discusses the architecture required to transition from stateless prompts to state-aware, context-rich AI agents. Drawing on 15 years in distributed systems, she shares how engineering...
Stronger, more systematic partnerships between corporates and scale-ups have the potential to enable both to thrive while helping more innovation reach commercial scale and stay based in the region.
Dropbox has unveiled Nova, an internal platform designed to orchestrate and operationalize AI coding agents across the company's engineering workflows. By Craig Risi
Shopify Staff Engineer Guilherme Carreiro discusses building and scaling highly customizable platforms. Using Shopify’s Liquid theme system as a case study, he explains how to balance extreme...
The engineering team at Meta recently outlined how the company migrated a data ingestion platform that transfers several petabytes of MySQL social graph data daily to improve reliability and...
Microsoft has introduced a new AI-driven vulnerability discovery system called MDASH, a multi-model agentic security platform designed to automate large-scale code auditing across Windows and...
Discord has detailed how it rebuilt its database operations around a new internal orchestration framework called the Scylla Control Plane (SCP), enabling its small infrastructure team to automate...
Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement...
OpenAI recently outlined how it adapted WebRTC for low-latency voice AI at global scale. The new architecture replaced a conventional media termination model with a relay-transceiver design better...
Julie Qiu explains how AI serves as a "thinking partner" for engineering leaders. She discusses five distinct roles - Archaeologist, Experimenter, Critic, Author, and Reviewer - to manage the...
Grafana Labs has launched Pyroscope 2.0, a rearchitected open-source continuous profiling database. This version improves storage costs, query performance, and operational complexity. Key changes...
Netflix has developed a graph-based architecture for managing machine learning systems, called the Model Lifecycle Graph. This system maps interconnections between datasets, models, features, and...
Autovacuum's most powerful tuning lever: the scale factor that determines when dead tuples trigger a vacuum. On large tables, the 20% default waits too long.
PostgreSQL 13 added insert-triggered autovacuum to solve a critical problem: append-only tables never vacuumed, breaking index-only scans and delaying tuple…
Vaca Muerta could reshape Argentina’s macroeconomic trajectory and influence global LNG supply dynamics, but achieving its full potential will need coordinated investment across the value chain.
文章讨论了PostgreSQL中的自动真空分析参数:autovacuum_analyze_scale_factor和autovacuum_analyze_threshold。这两个参数决定了何时对表进行ANALYZE。默认设置在大表上可能导致统计信息过时,影响查询性能。因此,建议针对大于一百万行的表调整这些参数,以提高分析频率,确保统计信息及时更新,从而优化查询效率。
I flew 12 hours to Pasadena, survived the sunshine, and came back with a vlog (or pavlog? 🙂) Worth it? Absolutely. SCALE 23x is one of those events where the hallway conversations are as...
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