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Gabriele Bartolini

Gabriele Bartolini

VP of CloudNative at EDB | PostgreSQL contributor | DoK Ambassador | CloudNativePG Maintainer

Navigating the uncharted waters of PostgreSQL within Kubernetes using open-source technologies, I bring a wealth of expertise to the table as a KubeCon speaker, Data on Kubernetes Community Ambassador, maintainer of the CloudNativePG Operator, and author of Postgres books. My passions are DevOps, High Availability, Disaster Recovery, Very Large Databases (VLDB) and data warehousing with PostgreSQL. I’m VP of CloudNative at EDB. Opinions are my own.

Recent

CloudNativePG Recipe 8: Participating in PostgreSQL 17 Testing Program in Kubernetes

·3 mins

Join the PostgreSQL 17 testing program using Kubernetes and CloudNativePG! With the recent release of PostgreSQL 17 Beta 1, our community has made operand container images available for testing. This article guides you through deploying a PostgreSQL 17 cluster, selecting specific Debian versions, and verifying installations. Perfect for developers in early stages, your participation will help identify and fix bugs before the final release. Get involved and ensure PostgreSQL 17 is robust and ready for production, even in Kubernetes!

… or thanks to Kubernetes! ;)

16 Years After The Launch of 2ndQuadrant Italy: Remembering Simon Riggs

·7 mins

Sixteen years ago, on May 21, 2008, we proudly announced the opening of the Italian branch of 2ndQuadrant, marking a milestone in PostgreSQL consulting and training in Europe. Simon Riggs, the visionary founder of 2ndQuadrant, placed immense trust in our small team from Prato, Tuscany. Tragically, Simon passed away on March 26, 2024, leaving a profound void. This article is my small tribute to Simon, his extraordinary leadership, and his invaluable contributions to the PostgreSQL community. It reflects on our journey, the challenges we faced, and the innovative spirit Simon instilled in us. Despite his passing, Simon’s legacy lives on through the values, principles, and examples he set, continuing to inspire and guide us.

CloudNativePG Recipe 7: Postgres Vertical Scaling with Storage in Kubernetes - part 2

·8 mins

This is the second article in a series that explores advanced strategies for scaling PostgreSQL databases in Kubernetes with the help of CloudNativePG. This article focuses on horizontal table partitioning and tablespaces and how they can be used to manage large datasets. By partitioning tables based on specific criteria and optimising storage with tablespaces, PostgreSQL users can achieve better scalability and performance in cloud-native environments, just like they could in traditional VMs or bare metal deployments.

CloudNativePG Recipe 6: Postgres Vertical Scaling with Storage - part 1

·8 mins

Are you worried that PostgreSQL cannot scale writes within a single node, or do you think that scaling PostgreSQL can only be done horizontally, across different Kubernetes nodes? Discover the surprising truth behind PostgreSQL’s vertical scalability in this first article of a two-part series. Explore the potential of optimizing CPU, RAM, and storage resources through meticulous measurement and benchmarking, challenging conventional scaling wisdom. Delve into the solid strategies within the CloudNativePG stack, such as separate volumes for data and transaction logs, temporary tablespaces, and I/O segregation for tables and indexes. Stay tuned for insights into aligning storage solutions with PostgreSQL’s resilience needs in the upcoming sequel.

CloudNativePG Recipe 5 - How to migrate your PostgreSQL database in Kubernetes with ~0 downtime from anywhere

·11 mins

Are you considering migrating your PostgreSQL database from a service provider into Kubernetes, but you cannot afford downtime? Recipe #5 details step-by-step instructions, leveraging CloudNativePG and logical replication, to seamlessly transition from PostgreSQL 10+ to 16 using an imperative method. Learn how to set up initial configurations, execute migrations, and handle various use cases, such as transitioning from DBaaS to Kubernetes-managed databases and performing version upgrades. Emphasizing testing, learning, and compliance with regulations like the Data Act, this guide empowers users to maintain control over their data by migrating to Kubernetes.