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DevOps in Practice: Automate Workflows, Infrastructure, and Deployments

Expert sessions on building CI/CD pipelines, implementing infrastructure as code (IaC), and using containers and orchestration tools like Kubernetes to improve your development lifecycle.

02:36 MIN

Applying DevOps principles to machine learning operations

DevOps for AI: running LLMs in production with Kubernetes and KubeFlow

02:34 MIN

Bridging gaps with DevOps and containerization

From Punch Cards to AI-assisted Development

03:05 MIN

Defining DevOps as a collaborative culture

Platform Engineering vs. DevOps Why not both?

02:06 MIN

Differentiating between GitOps and DevOps practices

How to GitOps your cluster with Flux

04:50 MIN

How DevOps shifts responsibility and increases cognitive load

From Zero to Hero: Launch & Manage Your Cloud Apps with Free OpenShift & Red Hat Developer Hub

02:42 MIN

The challenge of traditional DevOps overhead

GitOps keeps focus on apps, not on infrastructure

01:24 MIN

The goal of DevOps is optimizing for speed and safety

3 Key Steps for Optimizing DevOps Workflows

03:26 MIN

The cultural shift from DevOps to DevSecOps

You can’t hack what you can’t see

04:03 MIN

Defining the core principles of a DevOps pipeline

Database DevOps with Containers

01:52 MIN

Integrating serverless deployments into a DevOps pipeline

Serverless on Cloud

01:33 MIN

The convergence of ML and DevOps in MLOps

AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment

04:33 MIN

The present era of DevOps and infrastructure complexity

The Future of Cloud is Abstraction - Why Kubernetes is not the Endgame for STACKIT

03:04 MIN

Understanding the evolution from waterfall to DevOps

DevSecOps: Security in DevOps

04:14 MIN

Defining the core pillars of DevOps and how AI disrupts them

AI Killed DevOps... What Now? - Lee Faus

06:47 MIN

Adapting DevOps principles for automotive and IoT systems

A solution to embed container technologies into automotive environments

02:42 MIN

From waterfall to DevOps in software development

Do you know how fast you were developing?

03:58 MIN

Audience Q&A on DevOps, tools, and process

GitOps for the people

04:47 MIN

Defining what DevOps and cloud native mean for your organization

We adopted DevOps and are Cloud-native, Now What?

04:06 MIN

Building the Porsche customer ecosystem with DevOps

Car's are Technology on Wheels - Impact of Software and IT Competence in Automotive

03:31 MIN

The future of DevOps with AI agentic workflows

Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps

11:34 MIN

Q&A on DevOps culture, government work, and career advice

Hosting a modern justice system

11:34 MIN

Q&A on DevOps, government work, and career advice

Hosting a modern justice system

02:23 MIN

DevOps as an outcome of a healthy engineering culture

DevOps at Netflix

07:50 MIN

How GitOps streamlines the application delivery process

Securing Secrets in the GitOps era

01:56 MIN

Shifting from a waterfall to an agile NetDevOps workflow

How Cisco embraced a DevOps culture within its network engineering team

05:15 MIN

Applying TDD, CI/CD, DevOps, and SAFe at scale

Agile work at CARIAD – Creating a customer web application for controlling the vehicle

01:55 MIN

Merging data engineering and DevOps for scalability

Software Engineering Social Connection: Yubo’s lean approach to scaling an 80M-user infrastructure

03:40 MIN

Unifying workflows with the DesignOps 2.0 model

Breaking Down Silos Between Design and Development

02:32 MIN

Understanding the challenges of edge computing deployments

From Code to Motion: Building an Autonomous Hat-Hunting Robot with Kubernetes & ML

03:39 MIN

Optimizing costs and operational excellence in the cloud

Building Well-Architected applications

07:18 MIN

Adopting an MLOps mindset and culture

The state of MLOps - machine learning in production at enterprise scale

04:04 MIN

Platform engineering is more than just infrastructure

Platform Engineering untold truths: is just an infrastructure matter?

03:07 MIN

The evolution of software development methodologies

The Intent Engineer: Closing the Gap Between Business & Engineering - Manuel Klein

01:38 MIN

Understanding the three pillars of MLOps

Deployed ML models need your feedback too

01:59 MIN

Why OpenTelemetry matters for modern DevOps teams

Telemetry without the 'Tool Tax'

02:50 MIN

Understanding the core principles and lifecycle of MLOps

MLOps on Kubernetes: Exploring Argo Workflows

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