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The Distributed SQL Blog

Thoughts on distributed databases, open source, and cloud native

Securing YugabyteDB: Part 1 – Server-to-Server Encryption in Transit

Securing YugabyteDB: Part 1 – Server-to-Server Encryption in Transit

Encryption in transit is a common requirement for client-to-server communication. It is particularly important for YugabyteDB, a 100% open source, distributed SQL database built to accelerate cloud native agility. YugabyteDB typically stores important user and customer data at an organization.

In this ongoing blog series, we take a look at the different aspects of encryption in transit for YugabyteDB. This first post will focus on encryption in transit for the database’s internal RPC communication protocol,

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A Matter of Time: Evolving Clock Sync for Distributed Databases

A Matter of Time: Evolving Clock Sync for Distributed Databases

Distributed clock synchronization is critical for many applications, including distributed SQL databases. Clock synchronization needs to keep up with the other demands in our modern infrastructure, such as:

  • Applications that have increasing performance requirements while distributing data across different geographic regions
  • Network infrastructure and computing power that is improving constantly

A distributed SQL database is highly available and resilient to failures when deployed across a cluster of nodes.

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My Yugabyte Journey: From Intern to Full-Time Software Engineer

My Yugabyte Journey: From Intern to Full-Time Software Engineer

Hello. My name is Tim Elgersma, and I’m a software engineering intern on the YSQL team at Yugabyte. I have one semester left in my bachelor of Computer Science program at the University of Waterloo. In this blog post, I’d like to talk about my experience interning here over the past several months, and why I’m excited to join the company full time upon graduation.

Adding tablespaces to tablegroups

My onboarding at Yugabyte went pretty smoothly.

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PostgreSQL Timestamps and Timezones: How to Navigate the Interval Minefield

PostgreSQL Timestamps and Timezones: How to Navigate the Interval Minefield

This is the second of a two part blog post series about the date-time data types that PostgreSQL, and therefore YSQL, support. The first part dealt with the basic business of representing moments (when things happen). The relevant data types here are time, date, and timestamp—where the latter has a without time zone and a with time zone variant.

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PostgreSQL Timestamps and Timezones: What You Need to Know—and What You Don’t

PostgreSQL Timestamps and Timezones: What You Need to Know—and What You Don’t

Anecdotal reports indicate that some PostgreSQL programmers are daunted by the date and time data types, and by how operations that use values of these data types might be affected by the session’s timezone setting. Even experienced developers struggle when they first embark on a critical project that relies on this functionality. YugabyteDB’s YSQL subsystem gives the application developer the same experience as PostgreSQL. So some YSQL users will find the topic challenging, too.

I recently completed a careful and exhaustive study of the topic so that I could write it all up in YugabyteDB’s YSQL documentation.

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YugabyteDB Integrates with Arctype SQL Client

YugabyteDB Integrates with Arctype SQL Client

PostgreSQL has eaten the world. And so Yugabyte set out to build the most Postgres-compatible, scalable, and resilient database. YugabyteDB is not only wire compatible with PostgreSQL, it is code compatible by reusing the upper half of PostgreSQL. Thanks to this compatibility, YugabyteDB can connect to the vast majority of database tools that integrate with Postgres.

In a previous blog post, Yugabyte Developer Advocate Franck Pachot showed how to connect YugabyteDB in Arctype.

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YugabyteDB Savepoints: Checkpointing Work in Distributed Transactions

YugabyteDB Savepoints: Checkpointing Work in Distributed Transactions

Yugabyte brings best-in-class performance, scalability, and availability to YugabyteDB, a fully PostgreSQL-compatible SQL database. Because YugabyteDB’s architecture uses PostgreSQL at the SQL layer, we get a long-tail of PostgreSQL compatibility for free. But implementing savepoints requires deeper integration into YugabyteDB’s distributed persistence and transaction layers. 

In this blog post, we’ll discuss why you should care about savepoints. We’ll also examine how we built savepoints into YugabyteDB’s distributed transaction layer,

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My Yugabyte Journey into Distributed SQL Databases

My Yugabyte Journey into Distributed SQL Databases

This post was written by Nim Wijetunga, a Yugabyte intern during fall 2021. Nim’s currently a software engineering student at the University of Waterloo in Waterloo, Ontario, Canada.

My journey into distributed databases began in early 2021. I was an intern at Snowflake and was part of the core FoundationDB (FDB) team. FDB is an open source distributed key-value store. Snowflake and Apple are currently the largest contributors (and maintainers) of FDB.

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YugabyteDB Migration: What About Those 19 Oracle Features I Thought I Would Miss?

YugabyteDB Migration: What About Those 19 Oracle Features I Thought I Would Miss?

In 2019, I gave a presentation with the title, “19 features you will miss if you leave Oracle.” The talk focused on features used every day with Oracle—and those that may not be available in other databases. However, the goal of this presentation was not to influence any decision or outcome. 

Migrating from a commercial database is not about covering a full set of features. It’s a strategy to stay in control of the software that processes and stores enterprise data.

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Tutorial: How to Deploy Multi-Region YugabyteDB on GKE Using Multi-Cluster Services

Tutorial: How to Deploy Multi-Region YugabyteDB on GKE Using Multi-Cluster Services

The evolution of “build once, run anywhere” containers and Kubernetes—a cloud-agnostic, declarative-driven orchestration API—have made a scalable, self-service platform layer a reality. Even though it is not a one size fits all solution, a majority of business and technical challenges are being addressed. Kubernetes as the common denominator gives scalability, resiliency, and agility to internet-scale applications on various clouds in a predictable, consistent manner. But what good is application layer scalability if the data is still confined to a single vertically scalable server that can’t exceed a predefined limit?

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