Distributed SQL

Presentation Recap: Modernizing Application Development with GraphQL and Distributed SQL

Presentation Recap: Modernizing Application Development with GraphQL and Distributed SQL

At the Distributed Summit 2020 , Allison Kunz, Solutions Engineer at Hasura, presented the talk “Modernizing Application Development with Planet-scale GraphQL and Distributed SQL”. In the talk she covered what is GraphQL, why GraphQL, why Hasura GraphQL Engine, and a checklist of what it takes to have enterprise-grade GraphQL APIs in production, focusing on performance, security, and reliability. She also showed a demo of Hasura Cloud in action.

What is GraphQL,

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Distributed SQL Summit Recap: Pinterest’s Exploration of Distributed SQL

Distributed SQL Summit Recap: Pinterest’s Exploration of Distributed SQL

At the Distributed SQL Summit 2020, Lianghong Xu – Engineering Manager & Tech Lead, Pinterest – presented the talk “Pinterest’s Exploration of Distributed SQL”. In the talk he covered the evolution of storage at Pinterest, the role that the HBase ecosystem plays within the company, current challenges and opportunities for innovation, and finally, their exploration of Distributed SQL as a viable solution to some of these challenges.

The Storage Evolution at Pinterest

In 2012,

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Monitoring YugabyteDB in Kubernetes with the Prometheus Operator and Grafana

Monitoring YugabyteDB in Kubernetes with the Prometheus Operator and Grafana

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.

Using the Prometheus Operator has become a common choice when it comes to running Prometheus in a Kubernetes cluster. It can manage Prometheus and Alertmanager for us with the help of CRDs in Kubernetes. The kube-prometheus-stack Helm chart (formerly known as prometheus-operator) comes with Grafana,

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Service Mesh Era: Building Modern Apps with YugabyteDB and Istio

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

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

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

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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The Distributed Database Behind Twitter

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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Version Control for Distributed SQL with Flyway’s Maven Plugin

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, howeer there are a variety of plugins that can be leveraged, including Maven, Gradle, Spring Boot, and more.

Supported databases include Oracle, SQL Server,

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