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Service Mesh Era: Building Modern Apps with YugabyteDB and Istio

Microservices architectures are becoming the de facto way developers are thinking about how their applications are constructed. But security remains a top concern for many organizations. Given the general trends of the proliferation of threats within the production network and the increased points of privileged access, it is increasingly necessary to adopt a zero-trust network security approach for microservices architectures.

One of the most common security approaches is to set up mTLS.

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Distributed SQL Summit Recap: Mainframe Modernization

At the Distributed SQL Summit 2020, Brenesh Stanslas Flower Mary – Senior Architect, Wipro Digital, presented the talk “Monolith to Microservices.” In the talk he demonstrated how it is possible to take a large, intertwined mainframe monolith and break it down into microservices using a practical approach. The end-to-end approach he demonstrated made use of Wipro’s “moderniZ” platform which addresses the modernization (or transformation) of UIs, data, and services.

Challenges with Mainframes Today

Brenesh pointed out that although many organizations are well down the path of moving new (and some legacy applications) to the cloud or cloud-native technologies so they can take advantage of the cost savings,

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Building Serverless Applications Using Spring Boot, AWS Lambda, and YugabyteDB

Introduction to Serverless Applications

Serverless applications allow developers to run code without having to provision or manage any servers; developers can just concentrate on implementing the business logic of their applications.

As workloads move to the cloud, serverless applications are gaining tremendous popularity with developers. Serverless frameworks allow developers to program for the cloud to take advantage of elastic scaling for workloads and provide cost benefits of using pay-for-use features, only getting billed for compute time they consume.

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Distributed SQL Tips and Tricks – Oct 16, 2020

Welcome to this week’s tips and tricks blog where we recap some distributed SQL questions from around the Internet. 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. Ok, let’s dive right in:

How to use joins in UPDATE statements

Sometimes,

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Presentation Recap: The Distributed Database Behind Twitter

Twitter is one of the world’s favorite places for people and brands to connect online. Powering a global service that helps people share everything from breaking news and entertainment to sports, politics, and everyday interests takes infrastructure that can adapt and evolve over time.

In his talk at the 2020 Distributed SQL Summit, Mehrdad Nurolahzade, engineer on the real-time infrastructure team at Twitter, walks us through the distributed database behind Twitter,

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Using Terraform to Provision a YugabyteDB Cluster

This blog post is written by guest author Bhavin Gandhi, Software Engineer at InfraCloud Technologies, Inc. InfraCloud helps startups, SMBs, and enterprises scale by adopting cloud-native technologies.

HashiCorp’s Terraform is an infrastructure as code (IaC) tool as well as a framework. It is used for writing the infrastructure configuration in a declarative way using HashiCorp Configuration Language (HCL) or JSON. It has now become a preferred tool when it comes to provisioning infrastructure on different cloud platforms.

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A PostgreSQL-Compatible, Distributed SQL Cheat Sheet: The Basics

In this blog post, we’ll highlight how all the basic commands you end up using in the first few minutes after installing PostgreSQL are identical in YugabyteDB. We’ll cover connecting to the database, creating users, databases, schemas, and calling external files from the SQL shell. In the next blog post in this series we’ll tackle querying data to demonstrate that if you know how to query data in PostgreSQL, you already know how to do it in YugabyteDB.

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Version Control for Distributed SQL with Flyway’s Maven Plugin

Flyway is an open source database version control and migration tool that stresses simplicity and convention over configuration. Changes to the database can be written in SQL (and in some database-specific dialects like PL/SQL and T-SQL) or Java. You interact with Flyway using a command-line client, however there are a variety of plugins that can be leveraged, including Maven, Gradle, Spring Boot, and more.

Supported databases include Oracle, SQL Server, DB2,

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Getting Started with IntelliJ IDEA and Distributed SQL

IntelliJ IDEA is a popular integrated development environment (IDE) written in Java for developing software. It is developed by JetBrains and is available as an Apache 2 licensed community edition and in a proprietary commercial edition. IntelliJ supports a variety of datasources within their IDE. Because YugabyteDB is PostgreSQL compatible, most third-party tools and apps will work “out of the box.” IntelliJ is no exception here.

In this blog post we’ll walk you though the following steps:

  • Install a 3 node YugabyteDB cluster on Google Kubernetes Platform
  • Install the Northwind sample database
  • Configure IntelliJ to work with YugabyteDB
  • Test out some basic IntelliJ database features with YugabyteDB

New to distributed SQL or YugabyteDB?

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Use Retool to Quickly Build Distributed SQL and React Apps

Retool is a next generation WSIWYG SaaS-based tool that enables you to quickly build React applications for internal consumption from your existing data sources using a variety of pre-built “building blocks.” Developers can choose from over 58 drag and drop components and combine them with custom JavaScript to create applications that can be securely deployed on-premise or hosted environments like Heroku. Retool supports over 30 native integrations including PostgreSQL, GraphQL, AWS S3, and Cassandra.

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