Using Vagrant, anyone running Windows, Linux or Mac OS X can run and test drive a YugabyteDB cluster without the need to install and configure YugabyteDB. Plus, you can start over if you want to test something different in a matter of minutes, or scale up the cluster, etc.
Please mind that the Vagrant images are non-official images for demo and test purposes, and not configured nor representative for performance.
This is how it works (Mac OS X):
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Welcome back to our bi-weekly tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published recently. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stack Overflow. Let’s dive in:
When deploying a YugabyteDB cluster on a cloud,
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We recently presented the live webinar on how to run distributed SQL databases on Kubernetes. This session focused on the design of stateful workloads in Kubernetes, the architecture and deployment of YugabyteDB in Kubernetes, and best practices to run cloud native stateful workloads with a real-world example.
In this blog post, we provide the playback recording and slides, and recap some highlights from the presentation.
If you have additional questions about running the YugabyteDB distributed SQL database on Kubernetes,
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Welcome back to our bi-weekly tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published recently. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stack Overflow. Let’s get into it:
When first playing around with YugabyteDB many users import existing data from other databases,
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At this year’s Distributed SQL Summit Asia 2021, Cetin Yalcin Gulec, Shivam Arora, and Cem Aladogan from Softtech presented the talk, “Creating a Centralized Commercial Consent Database for 80M Citizens Across 100k+ Companies.” In this post you can find a summary of the talk, some of the presentation highlights, as well as links to this talk and others from the event.
Cem kicked things off with a quick introduction to Softtech.
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Welcome back to our bi-weekly tips and tricks blog where we recap some distributed SQL questions from around the Internet. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stack Overflow. Let’s dive right in:
There was a behavior change for the YSQL API after YugabyteDB version 2.5.2 where client certs are no longer required to authenticate to a TLS enabled cluster.
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Developers and DBAs widely use SQL editors to design database schemas, write ad hoc queries, troubleshoot, and manage the security policies and database users. For these reasons, it is essential for us as builders of YugabyteDB to bring native integration with popular database tools like DBeaver.
If you are following the YugabyteDB project and our blog posts, you’ll know YugabyteDB currently supports two APIs – YSQL and YCQL (NoSQL) – for querying the database.
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YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB uses its own special distributed document store called DocDB. But it provides SQL and stored procedure functionality by re-using the “upper half” of the standard PostgreSQL source code. This is explained in the two part blog post “Distributed PostgreSQL on a Google Spanner Architecture”: (1) Storage Layer;
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YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB uses its own special distributed document store called DocDB. But it provides SQL and stored procedure functionality by re-using the “upper half” of the standard PostgreSQL source code. This is explained in the two part blog post “Distributed PostgreSQL on a Google Spanner Architecture”: (1) Storage Layer;
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Organizations need to protect their data, especially the personal data entrusted to them from their users and customers. In order to do so, the data transferred by a database over the network needs to be secure. This is often accomplished using TLS encryption, an encryption protocol that secures communication across a network. When secured by TLS, a communication between a client and a server can enable the two parties to identify one another (preventing any impersonation),
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