YugabyteDB

February 4, 2022

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

February 2, 2022

By Karthik Ranganathan

Databases Distributed SQL

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

January 28, 2022

By Tim Elgersma

Careers Company News Databases

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

January 27, 2022

By Bryn Llewellyn

Databases How It Works PostgreSQL YugabyteDB

PostgreSQL Timestamps and Timezones: How to Navigate the Interval Minefield

In the second part of this blog series on PostgreSQL and YSQL date-time data types, the focus shifts to representing durations, or how long things last. Assuming the reader has read the first part and downloaded the companion code kit, this post explores the relevant data types, including interval, timestamp difference, and other related functions.

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

January 27, 2022

By Bryn Llewellyn

Databases How It Works PostgreSQL YugabyteDB

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

This is the first of a two-part blog post series that deals with the basic business of representing moments using time, date, and timestamp data types. YugabyteDB’s YSQL subsystem provides a similar experience to PostgreSQL, so the topic may still be enlightening for some YSQL users.

YugabyteDB Integrates with Arctype SQL Client

January 25, 2022

By Yugabyte Team

Databases Ecosystem Integrations PostgreSQL YugabyteDB

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

January 21, 2022

By Rob Sami

Databases Distributed SQL PostgreSQL

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

January 21, 2022

By Brian Foster

Community News Company News Databases Distributed SQL

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?

January 19, 2022

By Franck Pachot

Database Migration

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

January 18, 2022

By Srinivasa Vasu

Databases Distributed SQL Docker Google Cloud Platform Kubernetes

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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YugabyteDB

Adding tablespaces to tablegroups

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