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Author: Andrew Nelson

Automating YugabyteDB Deployments with Google Cloud Deployment Manager

Automating YugabyteDB Deployments with Google Cloud Deployment Manager

This is the second post in the Getting Started with YugabyteDB on Public Cloud series. In our first post, we covered Automating YugabyteDB Deployments with AWS CloudFormation templates. In this post we will show you how to achieve the same with Cloud Deployment Manager templates when using Google Cloud.

For redundancy across multiple fault domains inside a single region, Google Cloud uses the concept of zones,

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Cloud Native Tips and Tricks for YugabyteDB – March 27, 2020

Cloud Native Tips and Tricks for YugabyteDB – March 27, 2020

In this blog post, we answer some common questions from YugabyteDB users to help you in your own application development and deployment. We’ll also review upcoming events, new documentation, and blogs that have been published since the last post. Got questions? Make sure to ask them on our YugabyteDB Slack channel, Forum, GitHub, or Stackoverflow.

Before we dive in, we wanted to let you know that the Yugabyte team has been working from home in order to do our part with social distancing and to help with containment efforts.

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Automating YugabyteDB Deployments with AWS CloudFormation

Automating YugabyteDB Deployments with AWS CloudFormation

YugabyteDB is easy to get started with on the infrastructure of your choice including public cloud platforms, private cloud environments, and any Kubernetes distribution. For example, you can quickly customize and deploy in AWS thanks to CloudFormation templates. AWS CloudFormation is one of the many ways to automate a public cloud deployment in a consistent manner.

Before we dive in, we wanted to let you know that the Yugabyte team has been working from home in order to do our part with social distancing and to help with containment efforts.

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Monitoring YugabyteDB with Prometheus and Grafana in Kubernetes

Monitoring YugabyteDB with Prometheus and Grafana in Kubernetes

Prometheus has matured into a robust time-series metrics monitoring solution since it was first open-sourced in 2012. CNCF incubated it as its second project after Kubernetes in 2016 followed by graduation in 2018. Today it is arguably the most popular option for monitoring Kubernetes cluster metrics as well as container-based applications. Combined with Grafana for visualization, it becomes a potent combination for dashboarding performance of applications. Nodes in a YugabyteDB cluster have exposed a Prometheus endpoint for easy metrics collection right from the inception of the open source project.

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Cloud Native Meets Distributed SQL: Bringing Microservices, Kubernetes, Istio & YugabyteDB Together with Hipster Shop Demo

Cloud Native Meets Distributed SQL: Bringing Microservices, Kubernetes, Istio & YugabyteDB Together with Hipster Shop Demo

Polyglot persistence is the widely accepted database implementation strategy when it comes to decomposing monoliths into microservices. In practice, this requires every microservice to model its data needs independently using a database that is purpose-built for that particular model, and thereafter store the data in an independent database instance. While independent database instances as a deployment paradigm makes sense from an decoupled microservices architecture standpoint, choosing multiple different databases each with a specialized data model is usually justified in the context of performance,

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Announcing the Kafka Connect YugabyteDB Sink Connector

Announcing the Kafka Connect YugabyteDB Sink Connector

For customers that run Kafka for their streaming data platform, the Kafka Connect Sink plugin handles delivery of specific topic data to a YugabyteDB instance. As soon as new messages are published, the Sink manages forwarding and automatic addition to a destination table.

YugabyteDB is a high-performance, distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. Yugabyte’s SQL API (YSQL) supports most of PostgreSQL’s functionality and is wire-protocol compatible with PostgreSQL drivers.

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Announcing the Rook Operator for YugabyteDB

Announcing the Rook Operator for YugabyteDB

We are excited to congratulate the Rook community on the release on 1.1! We are also pleased to announce that the Rook operator for YugabyteDB is now available from rook.io and also on Github. This release extends the Rook storage operator as a custom resource, as well as provides an additional way to easily create, natively view and manage YugabyteDB within a Kubernetes cluster. In this blog we’ll summarize how to get started with the operator.

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Best Practices and Recommendations for Distributed SQL on Kubernetes

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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Andrew Nelson: Why I Joined Yugabyte as a Developer Advocate

Andrew Nelson: Why I Joined Yugabyte as a Developer Advocate

I recently joined Yugabyte as a Developer Advocate focused on Kubernetes. I will focus on the usability and extensibility of YugabyteDB as a data platform within the Kubernetes and public cloud ecosystem. However, in broader terms, I will be able to leverage YugabyteDB as a cloud-native database that can easily deployed in multi-cloud environments. There are a few things I am looking forward to in my new role:

  • Working for another fast-growing startup
  • Being able to leverage my skills in Kubernetes
  • Learning more about a next-generation database at the ground floor
  • Working for an open-source company

Early Years

When I was graduating from college with a degree in Software Engineering,

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