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How We Learned to Stop Guessing and Love Low P-Values

How We Learned to Stop Guessing and Love Low P-Values

“I don’t think it’s quite fair to condemn the whole program because of a single slip up, sir.” Famous last words from Kubrick’s 1964 classic Dr. Strangelove, as a forlorn general realizes his negligence is about to lead to nuclear apocalypse, may feel relatable to any engineer who has immediately regretted pushing the big red “release” button only to later find themselves putting out fires late into the night. Sometimes the answer is simply “write more tests!” or “write better tests!”,

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Secondary Index Migration in YugabyteDB

Secondary Index Migration in YugabyteDB

Introduction

YugabyteDB has a great feature in strongly consistent secondary indexes. I have been asked a few times now about how to modify existing indexes. These can range from adding another column to the index or adding another column to the INCLUDE clause. The big question at the end of the day is: how to do this without having to take downtime on the indexes? In this blog post, using the Yugabyte CQL API we will look at how to switch a live running application from using one index to another without a performance hit during the transition,

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Applying Legal Design Thinking to the Software Development Process

Applying Legal Design Thinking to the Software Development Process

Legal compliance for technology startups can be overwhelming. GDPR, CCPA, HIPAA, SOX, PCI, NIST — with so many long acronyms covering so many different legal frameworks, it can be hard to keep track of what applies to what, and become easy to fall into the trap of thinking you’ll deal with it later. But that can result in big technical and legal debt down the road that inhibits a startup’s growth very quickly. There is a middle road — applying legal design thinking from the beginning allows companies to innovate while at the same time choosing a legal framework for their software that meets customer needs and ensures business success.

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A Practical Multi-Cloud Distributed SQL Strategy for 2021

A Practical Multi-Cloud Distributed SQL Strategy for 2021

In order to meet the needs of the growing demand of businesses, many global enterprises are choosing cloud infrastructure from multiple providers like AWS, Azure, Google, or private data centers. According to a Gartner survey of public cloud users, 81% of respondents are already using multiple clouds. Leveraging multiple clouds to support data infrastructure provides these benefits:

  • Reduced operating and infrastructure costs by avoiding vendor lock-in.
  • Improved application resilience and redundancy with geographically distributed data centers.

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Distributed SQL Summit Recap: Mastercard’s Cloud Native Journey to Distributed Databases

Distributed SQL Summit Recap: Mastercard’s Cloud Native Journey to Distributed Databases

At the Distributed SQL Summit 2020, Ken Owens – Vice President, Cloud Native Engineering, Mastercard, presented the talk, “The Data Divide: An End User’s Cloud Native Journey to Distributed Databases.”

Because Ken has been working at the intersection of technology and financial services for more than 20 years, he brings a unique perspective to how cloud native and distributed systems can transform, what from the outside may appear to be a slow moving industry,

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What’s New in YugabyteDB Docs – December 2020

What’s New in YugabyteDB Docs – December 2020

Welcome to this latest post on what’s new and improved in YugabyteDB Docs! We’re continually adding to and updating the documentation to give you the information you need to make the most out of YugabyteDB. 

As a reminder, YugabyteDB provides two distributed SQL APIs:

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Using Linkerd with YugabyteDB

Using Linkerd with YugabyteDB

This blog post is written by guest author Bhavin Gandhi, Software Engineer at InfraCloud Technologies, Inc., in collaboration with the teams at Buoyant, the creator of Linkerd, and Yugabyte.

As more organizations turn to microservices architectures for their applications, Kubernetes naturally emerges as a perfect complement to those applications. But for application developers, building on Kubernetes can introduce complex problems to solve at the application layer. This is where service meshes like Linkerd come to the rescue and provide essential features like reliability,

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Distributed SQL Summit Recap: A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura

Distributed SQL Summit Recap: A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura

At the Distributed SQL Summit 2020, Tobias Meixner – CTO & Co-Founder at BRIKL, presented the talk, “A Migration Journey from Amazon DynamoDB to YugabyteDB and Hasura.”

Switching databases is painful, even more so when going from NoSQL to SQL. In this talk Tobias gave us insights into BRIKL’s two key elements of their migration path. First, migrating from Apollo Server and Amazon DynamoDB over to Hasura and YugabyteDB.

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Using PostgreSQL Aggregate Functions in YugabyteDB to Analyze COVID-19 Data

Using PostgreSQL Aggregate Functions in YugabyteDB to Analyze COVID-19 Data

YugabyteDB is an open source, high-performance distributed SQL database built on a scalable and fault-tolerant design inspired by Google Spanner. YugabyteDB uses its own special distributed document store called DocDB. But it provides SQL and stored procedure functionality by re-using the “upper half” of the standard PostgreSQL source code. This is explained in the two part blog post “Distributed PostgreSQL on a Google Spanner Architecture”: (1) Storage Layer; and (2) Query Layer.

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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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