Conference Program

Please note:
On this site, there is only displayed the English speaking sessions of the OOP 2022 Digital. You can find all conference sessions, including the German speaking ones, here.

The times given in the conference program of OOP 2022 Digital correspond to Central European Time (CET).

By clicking on "EVENT MERKEN" within the lecture descriptions you can arrange your own schedule. You can view your schedule at any time using the icon in the upper right corner.

Thema: Automation

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  • Mittwoch
    02.02.
  • Donnerstag
    03.02.
, (Mittwoch, 02.Februar 2022)
09:00 - 10:45
Mi 9.1
Humane On-Call: Alerting Doesn't Have to be Painful
Humane On-Call: Alerting Doesn't Have to be Painful

On-Call is an increasing reality for developers, especially when a site has strict uptime requirements. And sadly, the experience often sucks. It's easy to mandate 24x7 support, it's much harder to set it up in a way that doesn't make the life of the people in the rotation miserable.
I want to talk about improving alerting. I'm focusing on creating high-quality alerts that trigger when they should and don't trigger when nothing is happening. Continuous tuning, automation, and using the right metrics are core parts of this process.

Target Audience: Developers, Architects, DevOps, Operators
Prerequisites: Monitoring, operating production software
Level: Advanced

Extended Abstract
Do you believe in “you build it, you run it”? What if you have on-call rotations, where you are responsible 24x7 for the health of a system? Nothing is quite so infuriating as a collection of poorly structured alerts that trigger randomly.
So, let’s do better! I want to talk about how to improve your monitoring capabilities. There are a few topics I want to touch:

  • Reduce the noise
  • Automate as much as possible
  • Build actionable triggers
  • Tune your monitoring constantly

After this talk, you’ll have concrete actions to make your engineers’ life easier when on-call.

Mario Fernandez develops software for a living, and then he goes home and continues thinking about software because he just can't get enough.
He is a full-stack engineer with infrastructure skills. He has led multiple agile delivery teams, being an individual contributor, driving architecture topics, and coaching and supporting other team members.
He believes in high-quality software and advocates for Continuous Delivery, Tes- Driven Development, and quick iteration. He writes and speaks about his experience regularly.
NEU- OPEN SOURCE VERSTEHEN
NEU- OPEN SOURCE VERSTEHEN

krankheitsbedingt ein kurzfristiger Wechsel

Content Management Systeme, Web-Browser oder Betriebssystem: Viele der Produkte und Services die wir täglich nutzen werden mittlerweile als Open Source Projekte realisiert. Durch den hohen Einfluss, den die Open Source Entwicklung mittlerweile auf die digitale Welt hat, findet man allerdings auch viele unterschiedliche Aussagen über dieGefahren und Vorteile von Open Source Produkten. Vor allem wenn man sich selber noch nicht intensiv mit der Thematik auseinander setzen konnte ist es hierdurch schwer, fachlich korrekte Bewertungen zu Open Source Produkten treffen zu können.

Basierend auf der Mitarbeit an verschiedenen großen Projekten in der Eclipse Foundation und des Java Ökosystems werde ich in diesem Vortrag nicht nur die theoretische Definition von Open Source vorstellen, sondern auch zeigen, wie Open Source Projekte in der Praxis entstehen und weiterentwickelt werden. Wir werden uns auch anschauen, warumOrganisationen Software als Open Source veröffentlichen und welche neuen und interessanten Geschäftsmodelle sich hierbei ergeben. Hierbei werden auch die Themen wie Lizenzen, Security und Support von Open Source Produkten angesprochen, welche durch Beispiele wie OpenSSL und den 2014 veröffentlichten Heartbleed-Bug konkretisiert werden.

Das im Vortrag vermittelte Wissen soll helfen, Open Source Software besser verstehen und einschätzen zu können. Mit diesem Fachwissen können die verschiedenen Gefahren und Vorteile, die durch die Nutzung von Open Source Komponenten entstehen, in Zukunft besser beurteilt werden.

Hendrik Ebbers ist Co-Founder der Karakun AG und leitet das Office der Karakun GmbH in Dortmund. Hendrik ist Java Champion, JavaOne Rockstar und Mitglied im Technical Steering Committee bei Eclipse Adoptium. Hendrik Ebbers hat die Java User Group Dortmund gegründet und konnte hierdurch kostenlose Fachvorträge mit verschiedenen internationalen Experten in Dortmund anbieten. Hendrik Ebbers hält regelmässig Vorträge über aktuelle Themen zu Java, OpenSource und Softwareentwicklung auf internationalen Meetups und Konferenzen. Sein Buch „Mastering JavaFX 8 Controls“ wurde von Oracle Press 2014 veröffentlicht.

Mario Fernandez
Hendrik Ebbers
Mario Fernandez

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Hendrik Ebbers
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11:00 - 11:45
Mi 9.2
Structural and Advanced Pattern for Kubernetes
Structural and Advanced Pattern for Kubernetes

Due to the capabilities of Kubernetes, the usage of patterns rises to solve complex questions, but causing often confusion and unnecessary implementations. This talk intends to show what are the right scenarios for and for which cases another pattern is more suitable.
In this talk, Max will introduce you to various patterns, often misused by running applications and services within Kubernetes. The focus will be on structural patterns like Sidecars and Ambassadors as well as more advanced patterns like Controller and Operator.

Target Audience: Architects, DevOps Engineers, Platform Teams
Prerequisites: Good Understanding of Kubernetes
Level: Basic

Additional Information:
From this talk, you should take away in which scenario a pattern will suit most likely and how you can implement it. We will also look critically at the usage of these patterns.

Max ist Kubernetes und Cloud Native Advocate bei Liquid Reply mit Sitz in München. In den vergangenen Jahren hat er Cloud-native Lösungen auf/mit Kubernetes gebaut. In letzter Zeit treibt er das Thema Plattform-Engineering bei verschiedenen Kunden voran, um die aktuellen Herausforderungen mit komplexen Zielumgebungen zu vereinfachen. Nachts arbeitet er mit dem Kubernetes-Release-Team zusammen, um neue Kubernetes-Versionen zur Verfügung zu veröffentlichen.

Max Körbächer
Max Körbächer
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17:00 - 18:00
Mi 9.4
Clean Infrastructure as Code
Clean Infrastructure as Code

The clean code principles are well-known in modern, agile software development. But what has become the default for our business code, unfortunately by no means applies to our infrastructure code. Instead, we find badly crafted, complicated and highly tangled code that is manually tested using a trial and error approach. However, for modern cloud based systems the infrastructure code plays a crucial role. So it's about time we begin to treat it as a 1st class citizen! This hands-on session shows how to craft clean infrastructure as code.

Target Audience: Architects, Developers, DevOps Engineers, SREs
Prerequisites: Basic knowledge of infrastructure as code practices and tools
Level: Advanced

Mario-Leander Reimer ist passionierter Entwickler, stolzer Vater und #CloudNativeNerd. Er arbeitet als Principal Software Architect bei der QAware GmbH und beschäftigt sich intensiv mit den Innovationen und Technologien rund um den Cloud Native Stack und deren Einsatzmöglichkeiten im Unternehmensumfeld. Außerdem unterrichtet er Software-Qualitätssicherung an der TH Rosenheim.

Mario-Leander Reimer
Mario-Leander Reimer
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, (Donnerstag, 03.Februar 2022)
11:00 - 11:45
Do 9.2
Revolutionize DevOps with ML capabilities. Introduction to Amazon CodeGuru and DevOps Guru
Revolutionize DevOps with ML capabilities. Introduction to Amazon CodeGuru and DevOps Guru

I will introduce two AWS services: CodeGuru and DevOps Guru.
CodeGuru Reviewer uses ML and automated reasoning to automatically identify critical issues, security vulnerabilities, and hard-to-find bugs during application development.
DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. It does this by having the ability to correlate and group metrics together to understand the relationships between those metrics, so it knows when to alert.

Target Audience: Developers, Architects, Decision Makers
Prerequisites: Basic understanding of the code quality metrics and observability
Level: Basic

Extended Abstract
In this talk I will introduce two AWS services: CodeGuru and DevOps Guru.
Code reviews are one example and are important to improve software quality, software security, and increase knowledge transfer in the teams working with critical code bases. Amazon CodeGuru Reviewer uses ML and automated reasoning to automatically identify critical issues, security vulnerabilities, and hard-to-find bugs during application development. CodeGuru Reviewer also provides recommendations to developers on how to fix issues to improve code quality and dramatically reduce the time it takes to fix bugs before they reach customer-facing applications and result in a bad experience
Amazon DevOps Guru analyzes data like application metrics, logs, events, and traces to establish baseline operational behavior and then uses ML to detect anomalies. The service uses pre-trained ML models that are able to identify spikes in application requests. It does this by having the ability to correlate and group metrics together to understand the relationships between those metrics, so it knows when to alert and when not to.

Vadym Kazulkin is Head of Development at ip.labs GmbH, a 100% subsidiary of the FUJIFLM Group, based in Bonn. ip.labs is the world's leading white label e-commerce software imaging company. Vadym has been involved with the Java ecosystem for over 20 years. His current focus and interests include the design and implementation of highly scalable and available solutions, Serverless and AWS Cloud. Vadym is the co-organizer of the Java User Group Bonn and Serverless Bonn Meetup, and a frequent speaker at various Meetups and conferences.
Vadym Kazulkin
Vadym Kazulkin
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