Systems | Development | Analytics | API | Testing

✅ Watch a full Product Walkthrough of Xray Cloud. Follow the entire lifecycle of how to specify, organize, plan and execute tests using Xray and how to make the most of the reports and gadgets.

This video shows the usage of Edge Flow Manager’s flow designer and using the example flow it explains the concept of agent classes and publishing. It goes through the Dashboard view for agent classes and the canvas for the flow designer where processors, remote process groups and funnels are also explained. To see all of this in action, a very basic flow is created with two processors and published to the MiNiFi agents under the agent class the flow is designed for. After publishing, the means of tracking the flow deployment progress are also covered.

In this week's episode, Kat Morgan walks through Kong Gateway on #Redhat #OpenShift with special guest Casey Wylie, Principal Solutions Engineer from Red Hat! Kong Builders is a livestream series that takes our developer-focused toolsets and puts them on display in the best venue possible – building applications and connecting workloads.

As the MLOps practice matures, there is an accumulation of stories about what works well – and what doesn’t. If you’re building up your enterprise MLOps muscle, instead of trial and error, why not tap into the collective memory of thousands of organizations who have spent the last couple of years building their MLOps practices internally and learn from their experience?

In this session of the MLOps Live Webinar series, we discuss building services with ML baked-in, that continuously deliver bottom-line business value, by embracing AutoMLOps. AutoMLOps means automating engineering tasks so that your code is automatically ready for production. In this session, we outline the challenges, describe open-source tools available for Auto-MLOps, and finish off with a live demo.

Because conventional privileging and permissioning solutions were designed to run within on-premises data centers, they require dedicated IT security expertise to deploy and manage. Configuring them for multi-cloud environments is simply not workable. In this episode of “Powered by Snowflake,” Daniel Myers chats with Britive’s Field CTO John Morton, who explains how Britive has taken advantage of Snowflake’s compute and data-sharing capabilities to develop a solution that gives cloud-native, cloud-focused companies a new kind of cloud access management tool–one that easily scales as businesses grow and DevOps pipelines expand.

This video covers clearml-data tool, which is meant to help you version control, share and manage your different datasets. It integrates seamlessly in the existing clearml ecosystem, so a lot of terms will feel familiar!

New in ThoughtSpot Analytics Cloud 8.5.0.cl - a brand new data workspace, integration with dbt on Snowflake, a new in-product SpotApps library, and more.

The recording of our talk at the MLOps World summit. This talk covers a complete example, starting from experiment management and data versioning, building up into a pipeline and finally deploying using ClearML serving with drift monitoring. We then induce artifical drift to trigger the monitoring alerts and go back down the chain to quickly retrain a model and deploy it using canary deployment.

Figma connects everyone in the design process so teams can deliver better products, faster. Organizations around the world entrust Figma to securely host their ideas, designs, and plans.