DataStax

    • DataStax

    Aggregate Functions in Stargate’s GraphQL API

    Thursday, June 3rd, 2021, a new release of Stargate was applied to Astra. It includes an exciting new feature: aggregate functions!

    If you’re not familiar with aggregate functions, they are functions that look at the data as a whole and perform a function like min(), max(), sum(), count() and avg().

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  • How to Protect Your Database in a Distributed World with IP Access List

    Astra DB’s IP Access List addresses security concerns by enabling users to custom configure IPs and CIDR blocks that can access Astra DB hosted resources, including REST, GraphQL, Swagger, and CQLsh.

    This lets enterprises restrict access from select office and home networks.

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    • DataStax

    Stargate: Data Services for the Masses

    I’ve held several roles in my career in IT, ranging from software developer to enterprise architect to developer advocate.

    I’ve always been fascinated by the role that data plays in our applications—putting it into databases, getting it back out quickly, making sure it remains accurate when transferred between systems.

    There’s an ongoing debate over when developers should be required to access data via APIs and when they should be allowed to write their own database queries directly.

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    • DataStax

    Best Practices for Data Pipeline Error Handling in Apache NiFi

    We have tools such as Apache NiFi, which allow us to design and manage our data pipelines, reducing the amount of custom programming and increasing overall efficiency.

    Yet, when it comes to creating them, a key and often neglected aspect is minimizing potential errors.

    Although many factors influence a NiFi data pipeline, three important ones are: understanding the nature of your data sources and targets, minimizing maintenance, and following best practices.

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  • Introduction to New AutoScale Feature Available in Payara Server

    When AutoScale is fully developed, not only will it allow you to change the number of instances in the Deployment Group by implementing additional asadmin commands, but it will also signal the routing systems of the changed configuration and automatically trigger a change in size based on rules around resource usage.

    In this first step of the AutoScale development, we have introduced the concept of the Scaling Group into Payara Server Community Edition 5.2021.4 which can alter the number of instances in a Deployment group and implement it for SSH nodes.

    The AutoScale feature is in continuous development, with improvements and additional functionality (including addressing the routing issue) planned in our future releases.

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