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CTO Fundamentals II - 3:4 CTO Legacy Webinar Recording

Corneliu Fatulescu has more than 23 years of experience in SaaS, two-sided markets, user-generated content, and media products. Currently, he's leading a team of 60 engineers working on defining the technology strategy and vision at the group level. Have you ever assumed another CTO's legacy? Did you say, "Wow! I love it. We have a solid foundation. We need to keep going, and everything will be alright"? Or was it more like, "this is a sinking mess"?

CTO Fundamentals II - 2:4 CTO Decision-Making Webinar Recording

Corneliu Fatulescu has more than 23 years of experience in SaaS, two-sided markets, user-generated content, and media products. Currently, he's leading a team of 60 engineers working on defining the technology strategy and vision at the group level. The majority of CTOs acknowledge that they rarely select from the best set of available options when making judgments. No one would select from these choices if they were taken out of context.

Using Custom Templates in Bunnyshell

Dive into the world of custom templates in Bunnyshell with this comprehensive tutorial. Follow along as we demonstrate the step-by-step process of creating a custom template using a simple machine learning application. Learn how to configure environment settings, handle repositories, deploy environments, and manage template versions. By the end of this tutorial, you'll be well-equipped to leverage custom templates in Bunnyshell to efficiently manage your projects across different stages of development.

Node.js Example - Deploy an Environment

In this video, learn how to create and deploy a Node.js environment in Bunnyshell. The example application consists of a React frontend, an Express backend, and a Postgres database. Follow the step-by-step guide on leveraging a Docker Compose file to set up the environment, customizing settings, and deploying the environment to a Kubernetes cluster. Once the environment is deployed, discover how to add and edit books in the demo application.

Node.js Example - Remote Development

This video demonstrates how to perform remote development on a Node.js environment by synchronizing files between the local machine and the remote environment. Using the demo books application, learn how to initiate remote development and sync local files with the remote backend component. This process involves starting an SSH server in the container, manually restarting the application, and making changes to the application that automatically trigger a restart upon saving.

Node.js Example - Remote Debugging with Your Local IDE

In this video, learn how to debug a remote development session in Node.js using the previously deployed demo books application. Follow the steps to set up port forwarding and configure the IDE to map local folders to remote folders in the container. By starting the process in development mode with the inspect flag, discover how to enable the IDE to connect to the running process in the container. The demo includes setting breakpoints and stepping through code during debugging.

Ivanti Neurons for Healing Better Experiences. Better Outcomes.

Ivanti finds, heals, and protects every device, everywhere – automatically. Whether your team is down the hall or spread around the globe, Ivanti makes it easy and secure for them to do what they do best. Ivanti is IT for the way we work now. Integrated solutions for everything IT touches. So, employees can work better, anywhere, and everywhere.

Improving IT Service Delivery and Asset Management

Ivanti finds, heals, and protects every device, everywhere – automatically. Whether your team is down the hall or spread around the globe, Ivanti makes it easy and secure for them to do what they do best. Ivanti is IT for the way we work now. Integrated solutions for everything IT touches. So, employees can work better, anywhere, and everywhere.

Cribl Reference Architecture Series: Scaling Effectively for a High Volume of Agents

Join Cribl’s Ed Bailey and Ahmed Kira in an insightful discussion about scaling your Cribl Stream architecture to accommodate a large number of agents. Managing high-volume agent data flows presents a unique set of challenges that must be addressed to ensure the reliable transmission of data from your endpoints to your analytics systems, meeting business resiliency requirements. Errors arising from agent scale and data volume can lead to difficult-to-diagnose and even more challenging-to-fix issues that tend to surface at the most inopportune times.