Bitrise joins the Mobile Native Foundation
On March 4, we joined 30+ organizations in their mission to improve the technology and processes related to shipping large-scale mobile apps as a part of the Mobile Native Foundation .
On March 4, we joined 30+ organizations in their mission to improve the technology and processes related to shipping large-scale mobile apps as a part of the Mobile Native Foundation .
We’re proud to share that Iguazio has received an honorable mention in the Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 2021. This is the second year in a row that Iguazio receives this recognition. The 2021 report assesses 20 vendors of platforms enabling data scientists and engineers to develop, deploy and manage AI/ML in the enterprise, across a wide array of criteria relating to their capabilities, performance and completeness of vision.
NodeSource is very excited to announce the addition of Worker Threads support in N|Solid, it’s an amazing new feature for our customers on their journey with Node.js. Worker Threads are a very powerful feature in Node.js that allows developers to build more complex and robust applications.
We are truly excited to release Kong Mesh 1.2 today and introduce three new security capabilities that make it the most secure enterprise service mesh available today. Kong Mesh is built on open source Kuma which Kong created in 2019 and has since donated it to the CNCF. Kuma is a universal control plane for service mesh that is based on Envoy.
TL;DR Insomnia Designer and Insomnia Core are now Insomnia. Insomnia Designer users will have to migrate to the new Insomnia application and Designer will no longer receive updates. When we originally built Insomnia Designer, we didn’t want to make large changes to Insomnia without understanding whether the changes would be useful to developers, with the release of Insomnia Designer we were praised for not making these changes directly inside of Insomnia at first.
Today, we are excited to announce the general availability (GA) of BigQuery materialized views. Materialized views (MV’s) are precomputed views that periodically cache results of a query to provide customers increased performance and efficiency.