DevOps Pro Europe 2023

May 23 - 24

Conference

Online

May 25 - 26

Conference

Vilnius

Confirmed Talks

Bas Geerdink

Aizonic, The Netherlands

MLOps – Applying DevOps Culture and Tooling to Machine Learning Projects

In this session, we’ll explore this relatively new subject. Bas will explain the need for MLOps, dive into the tools and techniques, and give some examples of real-world solutions.

Session Keywords

🔑 MLOps
🔑 Big Data

Ease the Agony of Operationalizing Your Containerized Apps in the Cloud

Join us in this session to go beyond adopting containers as a new tool in your development journey and learn how to successfully operate them effectively in the cloud.

Session Keywords

🔑 Cloud
🔑 Containers
🔑 Modernization

Johannes Dienst

DB Systel, Germany

Managed Cloud to GitOps: Deploying Several Client Clusters

In this talk, we will describe the three development stages of our deployment process with respect to the server infrastructure in AWS including separation of AWS accounts into test and production environments.

Session Keywords

🔑 GitOps
🔑 CI/CD

Control Your APIs in the K8s Traffic Madness

Audience Takeaway – What will the attendees benefit from the talk?
1. Cloud Native complexity application development
2. What is Mizu open source project and how can it benefit devs
3. How to get a visualization of your kubernetes cluster, multi-protocol, traffic

Session Keywords

🔑 Kubernetes
🔑 Kafka
🔑 Mizu

Ron Ekins

Pure Storage, UK

Getting Started With Oracle on Kubernetes

In this presentation, Ron will introduce Kubernetes and show how we can use the Oracle Kubernetes Operator to manage the lifecycle of an Oracle Database on a Kubernetes Cluster.

Ron will explain how we can use a Container Storage Interface (CSI) to present persistent storage to our database and share code examples to help get attendees started. 

Session Keywords

🔑 Kubernetes
🔑 Databases
🔑 Oracle

Tomas Neubauer

Quix, Czech Republic

The Most Dangerous Demo Ever (Or How to Perform Real-Time Sentiment Analysis on the Audience Messages)

Join us challenging Murphy’s law on multiple occasions as we build an application that will perform real-time sentiment analysis on the audience messages, from scratch. Come and learn about streaming (vs batch), deploying ML models in real-time, and automating MLOps in a data science project. All you need to participate in your phone’s QR reader!

Session Keywords

🔑 MLOps
🔑 Streaming
🔑 Real-Time

Javier Blanco Cordero

Quix, Czech Republic

Tomas Neubauer

Quix, Czech Republic

Javier Blanco Cordero

Quix, Czech Republic

The Most Dangerous Demo Ever (Or How to Perform Real-Time Sentiment Analysis on the Audience Messages)

Join us challenging Murphy’s law on multiple occasions as we build an application that will perform real-time sentiment analysis on the audience messages, from scratch. Come and learn about streaming (vs batch), deploying ML models in real-time, and automating MLOps in a data science project. All you need to participate in your phone’s QR reader!

Session Keywords

🔑 MLOps
🔑 Streaming
🔑 Real-Time

Yishai Beeri

LinearB, Israel

17 Metrics to Accelerate Delivery without Damaging Culture

In this talk, Yishai will share 17 team-based metrics you can use to accelerate delivery, remove process friction, and maintain positive team culture. He will talk about how these methods enabled him to understand the metrics that work best for his team’s goals, and how to translate engineering work to their executive team. Finally, he will describe how they were able to cut the cycle time down by 38% by embedding data into their day-to-day practices.

Session Keywords

🔑 Productivity
🔑 Processes
🔑 Culture

Benny Bauer

Skai, Israel

Democratizing DevOps in Skai

This talk will cover Skai’s approach to a DevOps org structure, processes, enablement, and tools such as Pulumi, to increase feature teams’ ownership of their applications.

Session Keywords

🔑 Ownership
🔑 Enablement
🔑 Pulumi

Clifford Berg

Agile 2 Academy, US

Why Agile 2 Ideas Help Organizations to Use DevOps

The reality is that DevOps has become largely a collection of technical practices. But organizations that try to adopt DevOps approaches have great difficulty because DevOps is, fundamentally, reliant on having an Agile culture. But what does that mean? Agile 2 helps us to be much more specific – we can even link Agile 2’s behaviors to cultural dimensions. And that makes the true impediments to DevOps adoption much more apparent.

Session Keywords

🔑 Agile
🔑 Culture
🔑 Leadership