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pgEdge Platform Released

pgEdge announced general availability of pgEdge Platform, a fully open and fully distributed PostgreSQL database designed to run at or near the network edge and between cloud regions.

With this release – and after a seven-month beta period – pgEdge will now provide support for customers moving applications deployed on pgEdge Platform into production.

pgEdge Platform packages pgEdge Distributed PostgreSQL as downloadable software that can be self-hosted and self-managed in either on-premises environments and/or in the cloud with major providers such as AWS, Microsoft Azure and Google Cloud Platform.

For application developers and database architects looking to deploy low latency and/or high availability applications that need to be globally distributed, pgEdge Distributed PostgreSQL is a multi-master (active-active) distributed database system. Presentation, application logic and the world's most popular open source relational database can all be deployed at or close to the network edge or between cloud regions. This provides reduced data latency, better customer experiences, ultra-high availability, and a way to address data residency requirements without application code changes.

For current users of PostgreSQL who need a simpler approach to high availability, pgEdge provides great flexibility to manage application workloads and architect for rapid failover given every node can take both read and write traffic. While designed to work in edge deployments across many nodes, pgEdge also functions well running across just a few cloud regions to provide applications with lower latency, automated failover support and disaster recovery capabilities.

During the beta period pgEdge received invaluable feedback from its community of users and partners. This informed the development of several enhancements and features that make the GA release of pgEdge Platform even more robust and reliable for users' distributed computing needs.

New enhancements and features include:

- Anti-Chaos Engine: The pgEdge Anti-Chaos Engine (ACE) ensures consistency between database nodes in a pgEdge distributed cluster. ACE provides background and on-demand comparisons of tables between nodes utilizing Merkel trees for efficient comparison of tables with hundreds of millions of rows.

- Ultra-High-Availability Support: pgEdge Platform now includes support for synchronous read replicas within regions, implemented via Patroni and etcd. This complements the cross-region failover and resiliency between regions inherent to the pgEdge multi-master architecture for maximum availability.

- Support for pgCat for connection pooling.

- Validated support for pgvector, the popular Postgres extension for vector embeddings in machine learning applications. This is in addition to 20+ other commonly used PostgreSQL extensions including pgBackrest, PostGIS, PLpgSQL, PL/Profiler, pgBouncer.

pgEdge Platform runs on a variety of common hardware and OS combinations and is available to self-host or self-manage in existing cloud accounts with enterprise class support available from pgEdge. pgEdge Cloud, a fully managed cloud service based on pgEdge Platform, will be generally available within a few months.

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pgEdge Platform Released

pgEdge announced general availability of pgEdge Platform, a fully open and fully distributed PostgreSQL database designed to run at or near the network edge and between cloud regions.

With this release – and after a seven-month beta period – pgEdge will now provide support for customers moving applications deployed on pgEdge Platform into production.

pgEdge Platform packages pgEdge Distributed PostgreSQL as downloadable software that can be self-hosted and self-managed in either on-premises environments and/or in the cloud with major providers such as AWS, Microsoft Azure and Google Cloud Platform.

For application developers and database architects looking to deploy low latency and/or high availability applications that need to be globally distributed, pgEdge Distributed PostgreSQL is a multi-master (active-active) distributed database system. Presentation, application logic and the world's most popular open source relational database can all be deployed at or close to the network edge or between cloud regions. This provides reduced data latency, better customer experiences, ultra-high availability, and a way to address data residency requirements without application code changes.

For current users of PostgreSQL who need a simpler approach to high availability, pgEdge provides great flexibility to manage application workloads and architect for rapid failover given every node can take both read and write traffic. While designed to work in edge deployments across many nodes, pgEdge also functions well running across just a few cloud regions to provide applications with lower latency, automated failover support and disaster recovery capabilities.

During the beta period pgEdge received invaluable feedback from its community of users and partners. This informed the development of several enhancements and features that make the GA release of pgEdge Platform even more robust and reliable for users' distributed computing needs.

New enhancements and features include:

- Anti-Chaos Engine: The pgEdge Anti-Chaos Engine (ACE) ensures consistency between database nodes in a pgEdge distributed cluster. ACE provides background and on-demand comparisons of tables between nodes utilizing Merkel trees for efficient comparison of tables with hundreds of millions of rows.

- Ultra-High-Availability Support: pgEdge Platform now includes support for synchronous read replicas within regions, implemented via Patroni and etcd. This complements the cross-region failover and resiliency between regions inherent to the pgEdge multi-master architecture for maximum availability.

- Support for pgCat for connection pooling.

- Validated support for pgvector, the popular Postgres extension for vector embeddings in machine learning applications. This is in addition to 20+ other commonly used PostgreSQL extensions including pgBackrest, PostGIS, PLpgSQL, PL/Profiler, pgBouncer.

pgEdge Platform runs on a variety of common hardware and OS combinations and is available to self-host or self-manage in existing cloud accounts with enterprise class support available from pgEdge. pgEdge Cloud, a fully managed cloud service based on pgEdge Platform, will be generally available within a few months.

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E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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The 2025 Catchpoint SRE Report dives into the forces transforming the SRE landscape, exploring both the challenges and opportunities ahead. Let's break down the key findings and what they mean for SRE professionals and the businesses relying on them ...

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The pressure on IT teams has never been greater. As data environments grow increasingly complex, resource shortages are emerging as a major obstacle for IT leaders striving to meet the demands of modern infrastructure management ... According to DataStrike's newly released 2025 Data Infrastructure Survey Report, more than half (54%) of IT leaders cite resource limitations as a top challenge, highlighting a growing trend toward outsourcing as a solution ...

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Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...

The adoption of artificial intelligence (AI) is accelerating across the telecoms industry, with 88% of fixed broadband service providers now investigating or trialing AI automation to enhance their fixed broadband services, according to new research from Incognito Software Systems and Omdia ...

 

AWS is a cloud-based computing platform known for its reliability, scalability, and flexibility. However, as helpful as its comprehensive infrastructure is, disparate elements and numerous siloed components make it difficult for admins to visualize the cloud performance in detail. It requires meticulous monitoring techniques and deep visibility to understand cloud performance and analyze operational efficiency in detail to ensure seamless cloud operations ...

Imagine a future where software, once a complex obstacle, becomes a natural extension of daily workflow — an intuitive, seamless experience that maximizes productivity and efficiency. This future is no longer a distant vision but a reality being crafted by the transformative power of Artificial Intelligence ...

Enterprise data sprawl already challenges companies' ability to protect and back up their data. Much of this information is never fully secured, leaving organizations vulnerable. Now, as GenAI platforms emerge as yet another environment where enterprise data is consumed, transformed, and created, this fragmentation is set to intensify ...

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