![]() This cookie is set by GDPR Cookie Consent plugin. The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". Set by the GDPR Cookie Consent plugin, this cookie is used to record the user consent for the cookies in the "Advertisement" category. These cookies ensure basic functionalities and security features of the website, anonymously.Ĭloudflare sets this cookie to improve page load times and to disallow any security restrictions based on the visitor's IP address. Necessary cookies are absolutely essential for the website to function properly. It manages the provisioning and ongoing maintenance of Apache Airflow and compute resources that execute tasks are scaled on demand, providing consistent performance for users. “With Amazon MWAA, customers can use the same familiar Airflow platform as they do today to manage their workflows, and enjoy improved scalability, availability, and security without the burden of having to build, scale, and manage the underlying infrastructure,” Amazon wrote in a post. The Amazon Managed Workflows for Apache Airflow make it easier to author, schedule, and monitor data processing and machine learning workflows in the cloud. “This time we bring SQL language to MongoDB database which is the exclusive way to interact with MongoDB databases for those who are more familiar with SQL than with JavaScript”.Īmazon Managed Workflows available on Apache Airflow “With each new release we aim to improve the developers experience and simplify their work, by adding new technologies”, said Maksim Sobolevskiy, Product Marketing Manager at DataGrip. The new version also presents the formatted values and images in the value editor and new data extractors. JetBrains DataGrip 2020.3 includes added Couchbase support, the unique possibility to write SQL queries for MongoDB and the AD Authentication support for Azure database. Updates to the Project Security Dashboard include the results of the latest run pipeline security scan and also a dynamic vulnerability trend chart to help users stay on top of the real-time and historical vulnerability trends. With the code quality severity included within the merge request and the Full Code Quality Report, users can now quickly determine which code quality violations are critical to resolve before merging. GitLab 13.6 includes Auto-Deploy to Amazon EC2 using Auto DevOps without using Kubernetes, and a usage trends dashboard.
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