Name: [Technical Demo] DevOps Platform Demo: Building ML Apps
Start: 2022-03-24T02:30:00Z
End: 2022-03-24T02:30:39.000Z
Location: BrightTALK
Rating: 0

GitLab is a complete DevOps platform, delivered as a single application, fundamentally changing the way Development, Security, and Ops teams collaborate and build software. From idea to production, GitLab helps teams improve cycle time from weeks to minutes, reduce development costs and time to market while increasing developer productivity.

Join this live demo to learn how to create, test and deploy a Machine Learning application using GitLab The One DevOps Platform and Kubernetes.

In this demo we'll cover:
- Planning your application
- GitLab CI to automate Multi-project pipelines
- Review Application in the Merge Request
- Code Quality and testing of your ML Scripts
- Deployment to Kubernetes Cluster

[Tech Demo Series] Multi-project Pipelines with GitLab DevOps Platform

How teams can streamline their development cycle times so that they can innovate and deliver value to their customers faster.

Join this technical demo to learn how you can streamline your development cycle times by using Auto DevOps in combination with the GitLab Agent for Kubernetes so that you can innovate and deliver value to your customers faster.

In this technical demo, you will learn...

- The benefits of GitOps with GitLab
- The benefits of GitLab Auto DevOps
- A demonstration of how GitLab Auto DevOps with the GitLab Agent for Kubernetes

GitLab Auto DevOps with the GitLab Agent for Kubernetes

Policies in GitLab provide security teams a way to require scans of their choice to be run whenever a project pipeline runs according to the configuration specified. Policies can also be setup to require security team approvals if vulnerabilities are detected.

This webinar will go over and demonstrate the following:
Scan Execution Policies
Scan Result Policies

With policies security teams can therefore be confident that the scans they set up have not been changed, altered, or disabled and that vulnerabilities don't make it into the production code base.

Learning GitLab Security Configurations and Policies

Join Sarah Bailey in this demo session to dive into the Merge Request to increase developer productivity and collaboration!

Join Sarah Bailey, Solutions Architect while she hosts a quick coffee chat to go over all about the Merge Request! Before being a Solutions Architect at GitLab, Sarah was a customer of GitLab at multiple fortune 500 companies. In this coffee chat, she shares her experience of how to:

- Add quality and speed
- Improve developer’s efficiency
- Keep everything in one place in the Merge Request
- Add test automation to the MR

In this 12-minute video, Sarah will also go over the following: AutoDevOps, Security Analyzers, Code Quality, Compliance, Test Automation, and how we keep everything in one place - the Merge Request!

There won't be a live Q&A but you can ask questions during the session and we will get back to you with answers via the email!

All About the Merge Request Demo

Join this demo to learn how simple it is to create, test, and deploy an application using the GitLab DevOps Platform and Kubernetes.

In this demo we'll cover:

- Planning your application
- GitLab CI to automate Machine Learning Pipelines
- Automating live previews of an app in a Merge Request
- Code Quality and testing
- Deployment to Kubernetes Cluster

The One DevOps Platform Demo

Join this technical demo to learn about feature flags and how they can enable your teams to test updates to your applications directly in production reliably and safely.

In this technical demo, you will learn...

- What are feature flags
- The benefits of feature flags
- A demonstration of how to GitLab implements feature flags

Progressive Delivery with Feature Flags

Gain operational fidelity, reliability and availability by using GitLab for your GitOps flows.

GitOps with GitLab

Learn how GitLab supports DORA metrics to measure the effectiveness of an organization’s development and delivery practices

DORA metrics with GitLab

GitLab provides many scanners and security tools to detect known vulnerabilities, but what about vulnerabilities which are not part of a database? For this GitLab provides both Coverage-Based fuzzing, and Web-API fuzzing.

Fuzz testing sets operation parameters to unexpected values in an effort to cause unexpected behavior and errors in the application. This helps you discover bugs and potential security issues that other QA processes may miss.

At this event, we’ll cover:

- Overview of fuzzing
- Setup and Configuration of Fuzzing
- Live Demo of Coverage-Based and Web-API fuzzing in action
- Q&A - you'll be able to ask questions throughout the session and we'll follow-up with answers via the email. There won't be a live Q&A session during the demo

Introduction to Fuzzing with GitLab Demo and Q&A

New and growing attack surfaces combined with increasingly complex DevOps workflows have given rise to new regulatory requirements. In order to manage risks, organizations need to implement continuous software compliance. Join this technical demo to learn how GitLab simplifies continuous software compliance, allowing you to enforce and report on compliance with ease.

In this demo, you'll learn...
- How to enable separation of duties using compliance frameworks
- How to enforce security scans using security policies
- How to obtain compliance insights in a consolidated view
- How to adhere to compliance rules and defined policies using Audit Management

[Technical Demo] Continuous Software Compliance with GitLab

Join this technical demo to learn how GitLab supports, implements and leverages DORA metrics to provide insight into the effectiveness of an organisation’s development and delivery practices.

At this event, we’ll cover:

- A brief overview of what the DORA metrics are
- A demo of how GitLab supports DORA metrics at the project and group levels
- A demo of DORA metrics for a GitLab project with an ELITE status
- Q&A - you'll be able to ask questions throughout the session and we'll follow-up with answers via the email. There won't be a live Q&A session during the demo

This demo covers continues integration flow in action using GitLab, a complete DevOps platform in a single application.

GitLab CI Overview Demo

Join this technical demo to learn about the GitLab Agent for Kubernetes and the GitLab CI/CD workflow for Kubernetes with impersonation and how they can help streamline your infrastructure updates, make your infrastructure more reliable and lower the risk of unexpected outages.

During this demo, we’ll cover:

- An overview of the GitLab Agent for Kubernetes and its benefits
- An overview of the GitLab CI/CD workflow for Kubernetes with impersonation and its benefits
- A demonstration of how to use the GitLab Agent for Kubernetes and the GitLab CI/CD workflow for Kubernetes with impersonation

The GitLab Agent for K8s & CI/CD workflow for K8s with impersonation

Join this technical demo to learn how GitLab continuous delivery capabilities can help you make your releases safe, low risk, worry-free, consistent and repeatable.

At this webcast, we’ll cover:

- A brief overview of Continuous Delivery and Continuous Deployment
- How to adopt Continuous Delivery best practices using GitLab via a demonstration
- A demo of GitLab continuous delivery capabilities including progressive delivery and developer experimentation

Introduction to Continuous Delivery

IT has never been under more pressure to modernize and transform. In the race to outpace competitors and deliver customers best-in-class digital experiences, applications can make or break a business’ chance of success. In episode 23 of Day-to-Day DevOps, Helen Beal and guest are looking at why DevOps may be the silver bullet in helping businesses to modernize their applications and remain competitive. 

Join us to learn:

What a DevOps approach to legacy system modernization looks like
Insights into how DevOps can minimize technical debt by modernizing core applications to be agile and competitive 
Common challenges DevOps teams face when working on both mainframe and open-systems - and how to overcome them
And more

Modernizing Applications with DevOps

Watch this demo to learn how to create, test and deploy a Machine Learning application using GitLab DevOps Platform and Kubernetes.

In this webcast, you'll learn...
- Planning your application
- GitLab CI to automate ML Pipelines
- Review Streamlit application in the Merge Request
- Code Quality and testing of your ML Scripts
- Deployment to Kubernetes Cluster

[Technical Demo] DevOps Platform Demo: Building ML Apps

DevOps

Machine Learning

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[Technical Demo] DevOps Platform Demo: Building ML Apps

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