Cloud Native

Getting Started with DbSchema on a Distributed SQL Database
January 7, 2020
By
Distributed SQLEcosystem IntegrationsHow ToPostgreSQL

Getting Started with DbSchema on a Distributed SQL Database

If you’re a database developer, you know the time saving value of being able to visually design, document and query SQL and NoSQL databases from a single UI. DbSchema is a well-rounded, visual database tool that supports over 40 databases from a single interface. Because YugabyteDB is PostgreSQL compatible, getting DBSchema to work with a distributed SQL database is relatively simple.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner.

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YugabyteDB Community Update, Tricks and Tips – Dec 13, 2019
December 13, 2019
By
Community NewsDatabasesDistributed SQLHow It WorksPostgreSQL

YugabyteDB Community Update, Tricks and Tips – Dec 13, 2019

Welcome to this week’s community update where we recap a few interesting questions that have popped up in the last week or so on the YugabyteDB Slack channel, Forum, GitHub or Stackoverflow. We’ll also review upcoming events, new blogs and documentation. Ok, let’s dive right in:

How best to configure clusters across deployment types

Ava over on StackOverflow asked how to best setup configurations for different deployment models like single AZ,

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YugabyteDB Engineering Update – Dec 9, 2019
December 9, 2019
By
Community NewsDatabasesDistributed SQLPostgreSQLYugabyteDB

YugabyteDB Engineering Update – Dec 9, 2019

We are pleased to announce that YugabyteDB 2.0.7 is live!  You can read the official release notes of this and previous versions here. This release is shipping with almost 30 new enhancements and bug fixes.

What’s YugabyteDB? It is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) is PostgreSQL wire compatible

YugabyteDB 2.0.7 Release Notes

YSQL

  • Transparent read restarts for general queries.

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Best Practices and Recommendations for Distributed SQL on Kubernetes
September 11, 2019
By
How It WorksHow ToKubernetes

Best Practices and Recommendations for Distributed SQL on Kubernetes

YugabyteDB and Kubernetes have very complementary design principles because they both rely on an extensible and flexible API layer, as well as a scale-out architecture for performance and availability. In this blog post we’ll look at best practices and recommendations when choosing Kubernetes as the cluster foundation for a distributed SQL system. This will begin with a review of relevant architectural decisions of the YugabyteDB. Then we’ll walk you through how to handle the provisioning,

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Distributed SQL on Google Kubernetes Engine (GKE) with YugabyteDB’s Helm Chart
April 10, 2019
By
Distributed SQLGoogle Cloud PlatformHow ToKubernetes

Distributed SQL on Google Kubernetes Engine (GKE) with YugabyteDB’s Helm Chart

The glory days of the heavy-weight hypervisor are slowly fading away, and in the last few years, containerization of applications and services is the new reality. With containerization, enterprises can prototype, deploy, and meet scale demands more quickly. To systematically and efficiently manage these large-scale deployments, enterprises have bet on technologies like Kubernetes (aka k8s), a powerful container orchestrator, to get the job done. Kubernetes was originally developed by Google, but it has been open sourced since 2014 and is today developed by a large community of contributors.

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Rise of Globally Distributed SQL Databases – Redefining Transactional Stores for Cloud Native Era
January 16, 2019
By
ACID TransactionsAmazon AuroraCockroachDBDistributed SQLDockerGoogle SpannerKubernetesPostgreSQL

Rise of Globally Distributed SQL Databases – Redefining Transactional Stores for Cloud Native Era

At last month’s KubeCon + CloudNativeCon in Seattle, the single biggest change from previous container-related conferences was the excitement among the end user companies around their adoption of Kubernetes and the associated cloud native infrastructure ecosystem. The CNCF End User Community page today lists 50+ enterprises and 21+ case studies including those from industry bellwethers such as Capital One, Netflix, Nordstrom and Pinterest. There is a common adoption pattern among all these case studies —

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Understanding How YugabyteDB Runs on Kubernetes
August 17, 2018
By
DockerHow ToKubernetes

Understanding How YugabyteDB Runs on Kubernetes

As we reviewed in “Docker, Kubernetes and the Rise of Cloud Native Databases”, Kubernetes has benefited from rapid adoption to become the de-facto choice for container orchestration. This has happened in a short span of only 4 years since Google open sourced the project in 2014. YugabyteDB’s automated sharding and strongly consistent replication architecture lends itself extremely well to containerized deployments powered by Kubernetes orchestration. In this post we’ll look at the various components involved in getting YugabyteDB up and running as Kubernetes StatefulSets.

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Docker, Kubernetes and the Rise of Cloud Native Databases
June 11, 2018
By
CockroachDBContainersDistributed SQLDockerKubernetes

Docker, Kubernetes and the Rise of Cloud Native Databases

Containerized Stateful Services Are Here

Results from the 2018 Kubernetes Application Usage Survey should put to rest concerns enterprise users have had around the viability of Docker containers and Kubernetes orchestration for running stateful services such as databases and message queues. Its exciting to see that nearly 40% of respondents are running databases (SQL and/or NoSQL) using Kubernetes. This number will continue to grow in the months ahead.

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Orchestrating Stateful Apps with Kubernetes StatefulSets
April 17, 2018
By
How It WorksHow ToKubernetes

Orchestrating Stateful Apps with Kubernetes StatefulSets

Kubernetes, the open source container orchestration engine that originated from Google’s Borg project, has seen some of the most explosive growth ever recorded in an open source project. The complete software development lifecycle involving stateless apps can now be executed in a more consistent, efficient and resilient manner than ever before. However, the same is not true for stateful apps — containers are inherently stateless and Kubernetes did not do anything special in the initial days to change that.

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