DevOps Pro Europe 2022
May 24 - 26
Conference
Online
May 30 - June 3
Workshops
Online
Confirmed Talks
Fredrik Ha Carleson
Skatteverket, Sweden
Overcoming Cultural Obstacles for DevOps
This talk will explore real-life experiences where cultural or organizational obstacles either blocked or helped reach good DevOps practices. There will be both successes and failures.
Session Keywords
Dotan Horovits
Logz.io, Israel
OpenTelemetry 101
In this talk, Dotan will present OpenTelemetry, an ambitious open-source project with the promise of a unified framework for collecting observability data. With OpenTelemetry you could instrument your application in a vendor-agnostic way, and then analyze the telemetry data in your backend tool of choice, whether Prometheus, Jaeger, Zipkin, or others.
He will cover the current state of the various projects of OpenTelemetry (across programming languages, exporters, receivers, protocols), some of which are not even GA yet, and will provide useful guidance on how to get started with it.
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Ed Shee
Seldon, UK
Tackling the Massive Complexity of Production Machine Learning
In this talk, Ed will cover the mistakes has made, what he has learned along the way, and how DevOps principles are bleeding over into the field of ML.
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Eran Kinsbruner
Perforce, US
Accelerating DevOps Processes Using AI and ML
Advancements in software development and testing have come a long way, however, there is still room for improvement. With new AI and ML algorithms spanning development, code reviews, unit testing, test authoring, and AIOps, teams can boost their productivity and deliver greater software faster. In this session, Eran will cover recommended areas where AI and ML can be leveraged, taken from his recent best-selling book – Accelerating Software Quality.
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Feu Mourek
Icinga, Germany
Streamlining Your Projects With Git
In this talk, Feu will introduce different techniques and workflows with pros and cons and also will explain best practices that they have gathered in their training and from real-life experience over the years.
Additionally, Feu will throw in some tips on how to teach Git to others so the viewers can also pass on the knowledge.
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Howard Deiner
Deinersoft, Inc., US
What Did Life Under COVID-19 Teach Us About DevOps?
The world changed more as a result of COVID-19 than it did as a result of the September 11, 2001 attacks in the US in terms of the number of deaths and suffering of innocent people. Yet we took immediate action after the September 11 attacks and have kept up that vigilance for more than 2 decades. But after COVID-19, we are quickly trying to forget the misery and move on.
This talk will explore what they did wrong, and how they could have done better. But just because they missed the ball the first time around doesn’t mean that it’s too late to improve for the future. Let’s discuss how.
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Ravi Lachhman
Shipa, US
Remember Your First Time in Self Check-Out – Software Engineering Self Service Pitfalls
Think back to the time you had to use a self check out line at a grocery store. You bought groceries for potentially decades yet this experience brings butterflies to your stomach as the line builds behind you. In engineering, there has been a large push for self-service, especially around developer self-service in the name of engineering efficiency and removing bottlenecks. No more waiting weeks for VMs, you can dial up exactly what you need.
Learn in this session the pros and cons of self-service and having an Application-as-Code model in place can have a positive impact on Developer Experience and actually make self-service less angst causing.
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Eric Johnson
AWS, US
Operating ML Inference at Scale With Serverless
In this session, Eric will show how to reduce cost and management overhead by moving ML inference to a serverless architecture. He will demonstrate building and deploying an ML inference project on serverless with infrastructure as code (IaC). Finally, Eric will discuss optimizing serverless compute for specific workloads and how to use cloud-native AI/ML services when possible.
At the end of this session, whether you’re a developer or a data scientist, you will have a basic understanding of how to create and deploy an inference engine using serverless technologies.
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James Beswick
AWS, US
Simplifying Orchestration and Choreography in Serverless Applications
In this talk, he will see how to design workloads around events and state machines, and how to deploy these applications into the AWS Cloud. James will walk through a live example and show common areas when custom code can often be removed. Finally, he will discuss best practices, some common pitfalls, and equip you with the practical knowledge to start using this approach in your serverless applications.
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Pavlo Serdiuk
Accenture, Latvia
Mission Possible – How to Predict Unpredictable
The talk will be about how we can predict human behavior and how much it could be unpredicted in a very simple real use case. And which AWS cloud technologies can help us with and how. There will be a discussion about the pros and cons of the solution and how it could be improved.
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Tomasz Manugiewicz
Grand Parade, Poland
Tdd – Trust Driven Development. How to Break the Siloes Between Dev and Ops Teams and Shorten Lead Time for Your Changes.
We all know that Software Development Lifecycle can be a complicated process. We are usually good at identifying bottlenecks and we have tools like Value Stream Mapping to visualize them. We are often able to remove some of the berries by adjusting the process itself.
There are also some impediments that can be removed only by building trust across teams Development, Operations, and Change Management teams. During this talk, Tomasz will shine the light on how to build trust between these teams, break the silos and accelerate the delivery of our product.
Session Keywords