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FOSS4G NA Enterprise Automation Resilience: Red Hat AAP on EDB Postgres AI Documenting the PostgreSQL protocol with pg_protoexport EDB heads to PGConf.Brasil 2026, this is what we’ll be talking about! Powering Invisible Commerce at World Cup Speed By the Time Your Data Warehouse Answers, the Opportunity Is Gone Building a Sovereign, Intelligent Data Foundation with EDB Postgres® AI on IBM LinuxONE 5 Deep Dive Into EDB Postgres AI's Agentic Database Capabilities Jumping the gun: looking ahead at PostgreSQL 19 Meeting in Montreal: Developer U plan(ner) patches KubeCon + CloudNativeCon NA EDB Summer Academy Your Database Goes Down. What Does That Cost Your Business? The Oracle Renewal Is Coming. This Time, There’s a Way Out. Your Database Should Be Working While You Sleep Inside the Agentic Database: How EDB Turned Postgres Into a Self-Managing System The Architecture IS the Security: Building Sovereign AI Ops on Postgres with EDB Agent Factory EDB Named a Leader in Multimodel Data Platforms Evaluation PGDay Hyderabad The Role of AI in Data Analytics: Moving From Hype to High-Octane Utility Iga Januszek Mike Olifirowicz Meeting EU Data Sovereignty Requirements While Speeding-Up Innovation Inside EDB’s New Principles for Responsible AI: Sovereign, Governed, Trusted and Beneficial Built From the Data Up: A Trusted Foundation for the Agentic Era | EDB Postgres® AI Q2-2026 Release EDB Launches Agentic Database, Converged Analytics, and Governance, Bringing Sovereign AI Where Enterprise Data Already Lives Stop Spending Hours on What Should Take Minutes: A DBA's Guide to EDB Postgres AI’s Agentic Database Capabilities Making Agentic AI Smarter at the Architecture Level Charly Batista Buildfarm Query API Jaime Arze EDB PGD 6.4 Brings Distributed Consistency to Mission-Critical Postgres Data Layer Precedes Compute, GPU Capacity in Sovereign AI The pipeline tax is breaking enterprise AI at agent scale Sovereignty boosts enterprise AI returns, study finds As the Agentic Era Reshapes the Data Layer, Enterprises Build Their Sovereign Foundation on EDB Postgres® AI The Industrial Bank of Korea Bets Its Core Financial Infrastructure on EDB Postgres® AI Governing Agentic AI at Enterprise Speed Beyond the Latency Gap: Building Sovereign, Real-Time Agentic Applications on a Unified Postgres Estate Just Clear a Day: What We Learned Running an AI Security Hackathon How Shinhan EZ Insurance Built a Cloud-Native Core Banking System on EDB Postgres® AI PGConf.dev 2026: Our team’s sessions, working groups, and key takeaways EDB Releases PGD 6.4 with Quorum Commit, Bringing True Distributed Consistency to Mission-Critical Postgres PostgreSQL Conference Europe (PGConf EU) Cloud Native Denmark Data Stack Conf Community over Code Postgres Summit US PGDay Lowlands PGDay UK PGConf.Brasil Kubernetes Community Days (KCD) Melbourne Swiss PGDay Switchover and Switchback of CloudNativePG Replica Clusters in a Distributed Topology (K8s) - Part 2 Preparing Enterprises for the Agentic Workforce CWO Society Dinner for FSI From VMs to Kubernetes: A DBA's Journey in a Large Global Bank AI Data Pipeline Automation with AIDB Navigating Disruption: Architecting Your Sovereign Data Estate for Resiliency Sovereignty Is the New Operating System for Agentic AI, New MIT Technology Review Insights Report Finds Beyond the DBaaS Trap: Achieving Data Sovereignty with Kubernetes and CloudNativePG Red Hat Ansible Automates: Washington DC OpenShift Showcase: Toronto 소버린 AI 전문가와 함께하는 EDB 웨비나 コンテナ化の運用の壁をどう超えるか 〜デプロイ・保守を自動化し、リソース負担を最小化する次世代DB運用戦略〜 コンテナ化の運用の壁をどう超えるか? 〜デプロイ・保守を自動化し、リソース負担を最小化する次世代DB運用戦略〜 A Day in the Life: Inside a Director of Sales Development Role at EDB Taller: Creación de una plataforma de análisis soberana a gran escala con EDB Postgres AI Workshop: Building a Sovereign Analytics Platform at Scale with EDB Postgres AI Building Real-Time, Data-Aware Intelligence with Postgres and the Model Context Protocol Yogesh Jain POSETTE How Euronext FX Built the Data Foundation for a New Era of Electronic Trading EDB Postgres® AI: The Sovereign Data and AI Platform for the Agentic Enterprise HOW2026 Data, Trust, and the New Rules of AI EDB at Red Hat Summit 2026: Building AI on Ground You Own A Day in the Life at EDB: Inside a Director of Customer Success Role at EDB PostgreSQL vs MySQL: Migration Without the Migraine DIVA (Dive into AI) 2026 Club des Utilisateurs Français d’EDB Postgres (CUFEP) 2026 EDB Delivers “Intelligence per Watt” Paradigm to Slash Token Consumption and Cut Data Center Emissions by up to 87% EDB Postgres AI on OpenShift cluster using CSI driver for Dell PowerFlex takashi eridai EDB Japan EDB Spearheads the Year of the Agentic Workforce with Industry Recognition, Ecosystem Momentum, and Continued Postgres® Leadership A Strategic Roadmap for Oracle to Postgres Migration at Ooredoo Deployment of PostgreSQL Replica Cluster via Barman Cloud Plugin on CloudNativePG - Part 1 Making AI Work for Your Business PGDay Armenia Ava Chawla Why the World’s Most Stable OS Demands a High-Performance Data Foundation MySQL to PostgreSQL Migration Chris Chiappone EDB Postgres® AI Delivers Superior Predictability vs. Cloud Data Warehouses in High-Concurrency Benchmark, Unveils Q1 Platform Updates to Power the Agentic AI Era The Agentic Confusion: Why I Keep My Postgres Control Plane Deterministic The Next Generation of EDB Postgres AI Factory: Built for the Agent Era Why Your Analytical Database Needs Multiple Clusters to Do What WarehousePG Does With One Driving the Next Digital Experience
One Dashboard to Rule Them All — and Finally Get Your Fridays Back
Iga Januszek · 2026-07-01 · via EDB

This blog is co-authored by Iga Januszek, Dave Stone, and Purnima Phansalkar.


For more than 20 years, we've heard the same story from customers. It starts the same way, every Monday morning checking the on-prem cluster first, then switching to a different tool for the cloud environment, opening another window for the hybrid deployment, logging into yet another dashboard for the external Postgres clusters that technically aren't their responsibility but somehow always find their way onto their plate. Another login. Another dashboard. Another mental tab to keep open.

What nobody realises until it's too late is that somewhere in that web of tools and alerts, a query started degrading on Friday. It sat there all weekend, quietly. Not because no one was paying attention, but because with so many systems to juggle, it's all too easy to forget to check one. And when you don't know which system to look at first, the question of whether it was an infrastructure issue, a workload spike, or something upstream stays unanswered for far too long.

The thought that follows is one we've heard just as often: couldn't there be one tool that connects all of this, something that just shows me everything, in one place, and tells me when something's wrong before I have to find it myself?

That tool already exists.

That's exactly what EDB Hybrid Manager and the OSS Library were built to do.

The Problem with Fragmentation Nobody Talks About

Enterprises don’t run Postgres in one place anymore. They run it on-prem, in the cloud, across multiple clouds, in hybrid environments, and each of those environments comes with its own configuration, its own tooling, and its own set of operations. The result is configuration drift: the slow divergence of environments that makes consistency harder to maintain and reliability harder to guarantee.

And the strain doesn’t stay at the infrastructure level. It flows directly to the people managing it. DBAs are spending 30–50% of their time on undifferentiated routine tasks, backups, patching, upgrades, tuning - work that keeps the lights on but pulls focus away from the architecture, innovation, and strategic work the business actually needs from them. What makes it worse is that the scope of those tasks is expanding. Developers and DevOps teams are increasingly being asked to perform DBA work they were never trained for, with tools that weren’t designed for them.

Meanwhile, organizations that want the simplicity of cloud DBaaS face an uncomfortable trade-off: accept vendor lock-in and surrender data sovereignty, or keep managing complexity manually. For enterprises in regulated industries, that trade-off isn’t even a choice, public cloud simply isn’t an option.

What Is Hybrid Manager?

Hybrid Manager is EDB’s sovereign control plane for automating, managing, and observing your entire Postgres estate across on-premises, cloud, and hybrid environments, including self-managed and third-party clusters, all from a single interface.

The key word is sovereign. Hybrid Manager gives customers the cloud-like automation they’ve been looking for, deployed entirely inside their own environment. No vendor lock-in. No data leaving their infrastructure. No compliance risk. Just the operational simplicity of DBaaS, on their terms.

For teams who live in the command line, it replaces 30+ CLI commands with a guided graphical interface that works for any skill level. To create a Kubernetes Postgres cluster today, you're looking at creating namespaces, applying custom resource definitions with dozens of lines of YAML, and manually configuring secrets, storage classes, and backup schedules, all before you've even started. In Hybrid Manager, that's a few clicks. For teams that want to go further, it exposes full APIs so AI agents can complete tasks automatically and on their behalf. And for everyone, it delivers unified observability across the entire Postgres estate, over 200 deep database metrics, real time monitoring, and intelligent alerts, so that blind spots become a thing of the past.

The impact is real and tangible. A PGD cluster that used to take a day or two to configure and required a very specific set of skills to get right, is up and running in around 20 minutes with Hybrid Manager. On the efficiency side, instead of manually running scripts against each instance to analyse index performance, the Recommendations tab surfaces that across all your systems in one view. For a team managing 20 instances, that alone saves hours every week and for the non-expert Postgres DBA, having system parameter recommendations surfaced automatically is, in the words of one of our own engineers, "a godsend." 

fig 2

EDB Hybrid Manager — sovereign by default, built for every skill level, with 200+ metrics across your entire Postgres estate.


What Is the OSS Library?

If Hybrid Manager solves the problem of managing what you have, the OSS Library solves the problem of safely adopting what you need next.

The OSS Library is a sovereign ecosystem built directly inside Hybrid Manager for discovering and deploying certified open-source tools into your private environment, with guaranteed interoperability out of the box. It is not a separate product. It lives inside Hybrid Manager and is available to all Hybrid Manager customers from June.

Here’s the challenge it addresses: 68% of enterprises increased their use of open source tools last year, and that number is only going up. But the process of getting a new open source tool approved and deployed, security reviews, compatibility testing, cross-team procurement approvals, typically takes weeks. Sometimes months. That’s not a compliance process. That’s a momentum killer.

The OSS Library changes the equation entirely. EDB reviews every tool for compatibility and security vulnerabilities before it ever enters the library. Customers browse a curated catalogue of certified applications, including pgAdmin, Apache Airflow, Apache Superset, Metabase, pgBadger, and HammerDB and deploy them in minutes, directly into their sovereign environment, with a few clicks. No bespoke integration work. No security review backlog. No waiting.

And because access to the OSS Library is controlled through project-level roles within the organization, teams know exactly who is using which tools with which data, at scale, and without the usual overhead.

fig 2

The OSS Library — sovereign, pre-vetted, and just a few clicks to deploy inside your own environment.


The Business Value: What Changes for Your Customers

For DBAs and Platform Engineers, the shift is from constant firefighting to actual control. A unified view of the entire Postgres estate means they spot issues before users do. Intelligent recommendations surface optimizations proactively. And the automation engine handles the routine work, so they can redirect their expertise to the work that actually moves the business forward. The exhaustion of managing fragmentation starts to lift.

For Developers and DevOps teams, it’s the removal of two recurring frustrations: being asked to do DBA work without the right tools, and waiting weeks to use the open source tools they’ve already chosen. Hybrid Manager gives them a guided interface that doesn’t require CLI expertise. The OSS Library means the tools they want are available when they need them, not a quarter later. Projects stop stalling before they start.

For Decision Markers, the message is clarity. Hybrid Manager delivers the operational efficiency of cloud DBaaS without the sovereignty risk. The OSS Library eliminates the hidden cost of open-source adoption, the engineering hours lost to procurement, integration, and maintenance overhead, and replaces it with a controlled, compliant, scalable approach. AI initiatives that were stalled because of infrastructure debt start to move again.

Ready to See It in Action?

Tired of juggling tools across a fragmented Postgres estate? Spending your Mondays chasing down which system missed the alert, instead of focusing on the work that actually matters? Watch the Hybrid Manager Demo  for a walkthrough of unified observability, intelligent recommendations, and agentic operations across a hybrid Postgres estate.

One control plane. One library. One less reason to dread Monday morning. Deploy EDB Postgres® AI for turnkey, production-ready Postgres and cloud-like agility across on-premises, multi-cloud, and hybrid environments. Talk to an expert today!