Stateful on Kubernetes: Running Postgres the Right Way
We dig into the failure scenarios teams overlook, the trade-offs between self-managed and operator-managed approaches, and what it takes to build a Kubernetes-native Postgres setup you can actually trust in production.
Building Postgres High Availability That Holds Up Under Pressure
We dig into the scenarios teams most often overlook: replication lag during a failover, split-brain risks, fencing a demoted primary, and why automated failover can make an outage worse if not done carefully.
Modernization in the AI Era: Observability Meets Hybrid Control
Enterprises today are trapped by leftover legacy systems and fragmented data silos that drain resources and stall AI innovation. Gartner predicts that as organizations pivot to meet these AI demands, 40% will adopt a hybrid computing paradigm by 2028.
최근 기업용 AI 도입이 가속화되면서, 데이터를 어떻게 효율적으로 관리하고 AI 모델과 결합할 것인지가 비즈니스의 핵심 과제가 되었습니다.
이에 EDB는 오픈소스 기반 Postgres의 강력한 성능을 AI 환경에 최적화하여 활용할 수 있는 3부작 웨비나 시리즈를 준비했습니다. 단순한 이론을 넘어 실무 데모와 하이브리드 관리 전략까지, EDB가 제시하는 AI 데이터 인프라의 미래를 직접 확인해 보시기 바랍니다.
WarehousePG—the sovereign data warehouse built on EDB Postgres® AI (EDB PG AI)—is designed to break this bottleneck. By leveraging Massively Parallel Processing (MPP) architecture, WarehousePG provides a stable, petabyte-scale analytical database that thrives under high concurrency.
PostgreSQL vs. MySQL: Choosing the Right Foundation
The webinar discussed the current state and future prospects of MySQL and Postgres databases, emphasizing the advantages of Postgres for modern data platform needs. MySQL, once a leading database for web applications, has seen a decline in investment and innovation, particularly after Oracle's acquisition, leading to reduced community contributions and fewer resources. In contrast, Postgres has grown significantly, supported by a vibrant open-source community and substantial investments from EDB.
EDB Postgres AI Factory: Learn How to Operate GenAI and Agentic Data Workloads
The demand for rapid innovation clashes with the need for data sovereignty, security, and efficiency. Stop struggling with complex, time-consuming integrations that sacrifice control and governance.
Build with EDB Postgres® AI: Part 5: Working with Time-Series Data in Postgres
Unlock advanced time-series analytics in PostgreSQL using the Bluefin extension. Learn how to analyze financial transactions, IoT data, and seasonal trends efficiently within Postgres—ideal for AI-driven forecasting, anomaly detection, and predictive analytics.
