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Category: Distributed SQL

Introducing Yugabyte Platform on Azure – Beta Release Announcement

Introducing Yugabyte Platform on Azure – Beta Release Announcement

We have been hard at work expanding our ecosystem to be available across major cloud infrastructure providers so we can power applications in any cloud or across clouds. In addition to deploying the Yugabyte Platform, our commercial database-as-a-service (DBaaS) offering, natively in AWS and GCP, we’re excited to announce the beta release of the Yugabyte Platform on Microsoft Azure. While it’s true Yugabyte Platform can already be deployed on Azure as an on premise cloud provider,

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Distributed SQL Summit Recap: Envoy and Service Meshes for Databases

Distributed SQL Summit Recap: Envoy and Service Meshes for Databases

At the Distributed SQL Summit 2020, Christoph Pakulski, software engineer at Tetrate, and Prasad Radhakrishnan, VP of data engineering at Yugabyte presented the talk “Envoy and Service Meshes for Databases: What the Future Holds”. In the talk, they explored the topics of Envoy, service meshes–specifically Istio, and how they intersect with the database world. Christoph explained the Envoy PostgreSQL network filter extension released earlier in the year,

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YugabyteDB Community Fundamentals Training and Certification Recap

YugabyteDB Community Fundamentals Training and Certification Recap

We recently held our first ever free “YugabyteDB Fundamentals” community training and certification class. A special thanks to Karen Tamrazyan and all 6000+ the members of the Cloud Study Network for hosting us! If you weren’t able to make it, here’s what you missed…

Course Content

Over the span of 90 minutes we covered the following topics in depth:

  • Distributed SQL terms,

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Yugabyte Named a 2020 Gartner Cool Vendor in Data Management

Yugabyte Named a 2020 Gartner Cool Vendor in Data Management

We are incredibly proud to have recently been recognized by Gartner as a Cool Vendor in Data Management! [1]

The report recommends, “as a data and analytics leader focused on delivering cost-effective innovation, you should evaluate emerging technologies, focusing on those that provide new capabilities in familiar data management paradigms, without requiring sizable investments in new skills.“

We couldn’t agree more. This is why we built YugabyteDB with two APIs that implement the same wire protocol,

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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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Distributed SQL Summit Recap: 5G and Data Challenges

Distributed SQL Summit Recap: 5G and Data Challenges

At the Distributed SQL Summit 2020, Hale Donertasli, Cloud Architect at Rakuten Mobile, presented the talk “5G and Data Challenges”. In the talk, Hale describes the new innovations that will become possible because of 5G and its impressive data rate that will eventually achieve 20Gbps. Underpinning this achievement in speed is a cloud native, service-based architecture. But enhancing data and network speed and reliability while adopting microservices in the cloud doesn’t come without some challenges to address and overcome.

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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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