How to Automate Two factor Authentication Tests with Testsigma - A Webinar
The argument for 2FA is strong, but how do you automate it?
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Modern Software Development For Today's Systems & Applications
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Get a Complete View of Salesforce Data with MongoDB
Teri will show you how you can incorporate Salesforce (relational data) into a MongoDB collection (non-relational data) to give your customers a unified customer experience. The webinar will focus on the piece of the puzzle where we read Salesforce data and format it into the shape needed to go into a Mongo collection (a collection is the term MongoDB uses for a data set like a table in a relational database). We’re showcasing the ability to go back and forth from NoSQL to SQL for a unified customer experience.
ReadyAPI Interview with the Product Marketing Lead - Phil Voulgaris - @SmartBear Talks
We are happy to introduce Phil Voulgaris - SmartBear Product Marketing Lead for ReadyAPI. Watch the interview to learn more about Phil, why he likes the API technology and what we should expect in the future.
Build/Buy in MLOPs for R&D Does "off-the-shelf" exist yet?
What kind of tools and infrastructure does a company need in order to build, train, validate and maintain data-based models as part of products? The straight answer is - “it depends.” The longer one is: “MLOps.” It is far too early to determine the “best” patterns and workflows for Data-Science, Machine- and Deep-Learning products. Yet, there are numerous examples of successful deployments from businesses both big and small.
Deconstructing MLOps (ODSC East '21 Keynote)
Whether you are a veteran Data Science practitioner, a novice ML engineer, or a hard-working DevOps ninja, you probably heard about MLOps. But what are MLOPs? And do they only relate to applied machine learning in production?
Comprehending ClearML and MLOps - Enabling the New A-Z (ODSC East '21)
ClearML is an industry leading MLOps suite, fully open source and free in the best sense. Designed to ease the start, running and management of experiments and orchestration for every day practitioners, we will also see how it provides a clear path to deployment. Starting with a high level overview of the parts built into ClearML, we will then journey into what is and also, importantly, what is not part of ClearML's mandate. Along the way we will demonstrate how-to integrate into your PyTorch code, as well as the capabilities of reporting and possible workflows that could be made easier by pipeline usage.
[MLOps] The Clear SHOW - S02E10 - Everything You Wanted To Know About Model Stores*
Ariel (ft. G. Raffa) discusses the reasoning behind model stores, why you might want to build one, and reviews a model store library vs. ClearML to understand what needs to be built "on top" of our open-source MLOps Engine. + Operator AI ClearML is the only open-source tool to manage all your MLOps in a unified and robust platform providing collaborative experiment management, powerful orchestration, easy-to-build data stores, and one-click model deployment.
Community Creations: Bitrise Open Source & the API - Introducing the Bitrise Wall mobile app
Being able to extend the functionality that Bitrise provides, by writing your own Apps that exploit the openness of the API is an added value feature of Bitrise. And, good use of this possibility has already been made by existing Bitrise users. A case in point is Bitrise Wall, created by Jas Manigundan. This is an app for both iOS and Android that allows you to monitor the activity of your builds and even download the latest app version directly from your mobile phone.
Xplenty Overview
Implement ETL using an intuitive graphic interface. Orchestrate and schedule data pipelines utilizing Xplenty’s workflow engine. Use our rich expression language to implement complex data preparation functions. Connect and integrate with a wide set of data repositories and SaaS applications.