Infrastructure
Presentations
CI/CD for Machine Learning
Machine Learning is now widely used across our industry, yet we have very limited tooling when it comes to automating the ML model versioning, testing, and release. We will show how a CI/CD pipeline for ML can greatly improve both your productivity and the reliability of your software.
AWS Cloud Development Kit (CDK)
The AWS Cloud Development Kit (CDK) allows you to describe your application’s infrastructure using a general-purpose programming language, such as TypeScript, JavaScript or Python. This opens up familiar avenues for working with your infrastructure, such as using your favorite...
Snowflake Architecture: Building a Data Warehouse for the Cloud
At Snowflake, we wanted to architect a data warehouse from the ground up to leverage all the benefits of the cloud. Unlike shared-storage architectures that tie storage and compute together, we built a single integrated system with fully independent scaling for compute, storage and services. In...
Helm 3: A Mariner's Delight
Adjusting your spyglass and looking out over the water, you can see how useful a package manager like Helm is. Perhaps you’ve used it to manage the fractal complexity of packages on your Kubernetes clusters (without losing track of versions stashed in the hold). But Helm 3 is rumored to be...
DevOps & Lean Thinking Open Space
Session details to follow.
DevOps & Lean Thinking Panel
What are the latest trends and processes in DevOps & Lean Thinking? This panel will discuss what areas will enhance your team and platform's performance.
Interviews
CI/CD for Machine Learning
What do you want people to leave the talk with?
If I had to summarize it in one line it would be any CI/CD pipeline is better than none. If you're going to automate major key pieces of this process will make your life a lot easier, simplify it and add speed to your deployments.
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