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Distributed Postgres goes full open source with Citus: why, what & how

The Citus Data

A few months ago we made Citus fully open source. Contrary to folks who say that Postgres is a monolith that can’t scale—Postgres in fact has a fully open source solution for distributed scale, one that’s also native to Postgres. Why make the final pieces of Citus open source now? It’s called Citus !

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Kubernetes Network Policy

Xebia

Also, when you are running a workload that is maintained by external parties or from public and open sources repositories you should be extra careful and make sure it can only access the resources it needs to access. You can see it like a firewall or compare it to an Azure Network Security Group on a virtual network.

Policies 147
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InnerSource, a practice that brings open-source principles to internal software development within organizations

Xebia

InnerSource can be defined as the application of open-source software development principles within an organization’s internal software development processes. It draws on the valuable lessons learned from open-source projects and adapts them to the context of how companies create software internally.

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The future of Cloud-native software development with Radius

Xebia

Not an easy task considering that Azure has more than 200 services and products at the time of writing. If you want to read more about Platform Engineering, have a look at the article ‘Was shift left the right move?’ Up until now, Bicep was a domain-specific language for Azure resource deployments.

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Citus 11 for Postgres goes fully open source, with query from any node

The Citus Data

beta blog post , but we also have big surprise for those of you who use Citus open source that was not part of the initial beta. When we do a new Citus release, we usually release 2 versions: The open source version and the enterprise release which includes a few extra features. Hidden preview feature: Triggers!

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The future of data: A 5-pillar approach to modern data management

CIO

This article proposes a methodology for organizations to implement a modern data management function that can be tailored to meet their unique needs. Organizations must decide on their hosting provider, whether it be an on-prem setup, cloud solutions like AWS, GCP, Azure or specialized data platform providers such as Snowflake and Databricks.

Data 167
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Autoscaling Azure DevOps Pipelines Agents with KEDA

Xebia

These pipelines require a complex set of tools installed on self-hosted Azure DevOps agents. To address these challenges, our architect proposed using Kubernetes Event-Driven Autoscaling as an auto-scaling solution for our Azure DevOps Agent Pools. Azure Service Bus, RabbitMQ), database events, HTTP requests, and many more.

Azure 130