YugabyteDB

Database Connection Management: Exploring Pools and Performance

Database Connection Management: Exploring Pools and Performance

There are many secrets to creating a high-performing database application. One such secret is proper database connection management. However, this secret is not specific to YugabyteDB or PostgreSQL, but applies to any database.

In this post, we examine database connection management through the lens of YugabyteDB. We explore pools and performance, and run tests to measure the results. By the end of this post, you’ll have a clear sense of how to make efficient use of database connection management.

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Cloud Native Java: Integrating YugabyteDB with Spring Boot, Quarkus, and Micronaut

Cloud Native Java: Integrating YugabyteDB with Spring Boot, Quarkus, and Micronaut

Java is the quintessential language runtime for enterprise applications built on monoliths, microservices, and modular architecture patterns. But when it comes to “Enterprise Java,” Spring is the de facto framework of choice.

The Spring ecosystem—with the simplicity of Spring Boot—has grown to provide integration touchpoints to a majority of the Java ecosystem. For starters, it offers a clean abstraction and “glue” code to build cohesive enterprise applications. However,

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TPC-C Benchmark: Scaling YugabyteDB to 100,000 Warehouses

TPC-C Benchmark: Scaling YugabyteDB to 100,000 Warehouses

We’re excited to announce a new milestone in our TPC-C benchmark journey! YugabyteDB can now scale up to 100,000 warehouses with an efficiency of 99.78%. More specifically, this results in 630,000 operations per second on the database cluster, observed over a two-hour period.

For those new to TPC-C, it’s an OLTP system benchmarking tool used to measure performance when handling transactions generated by a real-world OLTP application. It models a business that has a warehouse,

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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

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.

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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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