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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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Linux Performance Tuning: Dealing with Memory and Disk IO

Linux Performance Tuning: Dealing with Memory and Disk IO

Linux is a general purpose operating system. This means it’s created to generally do what is right, instead of having specific code paths to perform what is right for a single specific task—and potentially be wrong for others.

Linux does not have tunable parameters for reserving memory for caching disk pages (the page cache), like operating systems such as HPUX (dbc_min_pct, dbc_max_pct) or AIX (minperm%, maxperm%). Instead,

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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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Fine-Grained Control for High Availability: Increasing Node Failure Threshold

Fine-Grained Control for High Availability: Increasing Node Failure Threshold

The purpose of this blog post is to show how you can increase the failure threshold when a node goes down, which happens for a variety of reasons including hardware or network issues and most commonly maintenance. The failure threshold is the amount of time YugabyteDB would wait, after a node goes down, for it to potentially come back up. After reaching this threshold the physical data will begin to move from the dead node to other nodes in the cluster.

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An Adventure in Multi-Cloud with Kubernetes and Distributed Data

An Adventure in Multi-Cloud with Kubernetes and Distributed Data

At this year’s Distributed SQL Summit Asia 2021, Leon Kuperman from CAST AI presented the talk, “An Adventure in Multi-Cloud with Kubernetes and Distributed Data.”

Setting the Scene

CAST AI is an AI-driven cloud optimization platform for Kubernetes that helps companies cut their cloud bill and prevent downtime. In the presentation, Leon walks through how to deploy a highly available YugaybteDB cluster across three cloud providers (AWS,

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YugabyteDB: Reimagining the RDBMS for the Cloud

YugabyteDB: Reimagining the RDBMS for the Cloud

Perspectives from 5 years of building a cloud native database

YugabyteDB just turned 5 years old, and I cannot help but reminisce about our journey in building this database over the last half-decade. I vividly remember the genesis of the YugabyteDB project, which started with Kannan, Mikhail, and myself meeting for lunch at a restaurant to discuss the future of cloud native databases. After iterating on the idea over a number of such discussions,

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