PurePerformance

AI-Augmented Chaos Engineering in Practice with Bartek Pisulak

Chaos Engineering is the practice to introduced controlled failures into a system with the goal to improve the overall resiliency! What started with "lets see what happens when we unplug that server" to "lets simulate network latency issues" or "lets kill critical pods and see if the system recovers gracefully" is now seeing new experiments being conducted that are identified by a new companion: AI  In this episode we have invited Bartek Pisulak, Dir of Cloud Quality Engineering at Pegasystems, who has been educating quality engineers on AI-Augmented Chaos Testing in Practice. Tune in and learn about the how AI can improve efficiency in the 5 critical phases of a chaos experiment: Steady State, Hypothesis, Run Experiment, Verify, Improve! To learn more about the foundational principles make sure to watch some of the conference talks from Bartek listed below: Links discussed Bartek's LinkedIn: https://www.linkedin.com/in/bart%C5%82omiej-pisulak-82b94036/ [https://www.linkedin.com/in/bart%C5%82omiej-pisulak-82b94036/] Talk at Cloud Native Days Austria: https://www.youtube.com/watch?v=xUVCKNpMEz8&list=PLtLBTEzR4SqU9GwgWiaDt10-yOVIN0nzM&index=10 [https://www.youtube.com/watch?v=xUVCKNpMEz8&list=PLtLBTEzR4SqU9GwgWiaDt10-yOVIN0nzM&index=10] Talk at Porto Tech Hub: https://www.youtube.com/watch?v=-ZuEaA2PoTo [https://www.youtube.com/watch?v=-ZuEaA2PoTo] Kraken: https://github.com/krkn-chaos/krkn [https://github.com/krkn-chaos/krkn] ChasoEater: https://github.com/ntt-dkiku/chaos-eater [https://github.com/ntt-dkiku/chaos-eater]

The Pragmatic Approach to Becoming AI-Native with Pini Reznik

There is only one successful way to adopt new technology, and that is transformational! Sounds like a high-level consulting pitch but our industry has a track record to validate this statement. Just look at the recent web or cloud-native transformations! Pini Reznik has been helping organizations along the current AI-Native transformational journey. And what a timing: He just published his book on From Cloud Native to AI-Native where he provides a pragmatic approach to leveraging AI from Pioneering to Gradually Scaling! Tune in and hear from Pini why he thinks that AI projects are not failing because of bad AI, but because they approaching the problem the old and wrong way! And, stay until the end to hear how it was to write a book about AI using AI! Links we discussed Pini's LinkedIn: https://www.linkedin.com/in/pinireznik/ [https://www.linkedin.com/in/pinireznik/] Link to Book: https://re-cinq.com/book [https://re-cinq.com/book] Our previous episode: https://www.spreaker.com/episode/ai-native-the-next-revolution-after-cloud-native-with-pini-reznik--67692567 [https://www.spreaker.com/episode/ai-native-the-next-revolution-after-cloud-native-with-pini-reznik--67692567] Prompt Engineering Conference Talk: https://www.youtube.com/watch?v=W7z5XMnvYt8 [https://www.youtube.com/watch?v=W7z5XMnvYt8]

Back to Basics: Increase DevEx in the Age of AI with Laura Tacho

Don't get stuck using AI to build faster horses. Instead, find the opportunities and rethink your software delivery processes! That, and only that, will help you increase Developer Experience and Efficiency! This episode is all about how to measure and improve DevEx in the age of Artificial Intelligence. And with Laura Tacho, CTO at DX, we think we found a perfect guest! Laura has been working in the dev tooling space for the past 15 years. In her current role at DX she is working on the evolution of DORA and SPACE into DX Core 4 and the DXI Measurement Framework. In our episode we learn about those frameworks but also how tech leaders need to rethink where and how to apply AI to improve overall efficiency, quality and effectiveness!  The key takeaways from this conversation are * DevEx is all about the identifying and reducing friction in the end-2-end development process * Tech Leaders need to become better in articulating technical change requirements to business * As of today only 22% of code in git is really AI generated. Don't get fooled into believing AI is already better * Back to Basics makes companies successful with AI. That is: proper CI/CD, testing, documentation, observability! Here the links we discussed Laura's LinkedIn: https://www.linkedin.com/in/lauratacho/ [https://www.linkedin.com/in/lauratacho/] DX: https://getdx.com/ [https://getdx.com/] Cloud Native Days Austria Talk: https://www.youtube.com/watch?v=kZ1F0-XS1l4 [https://www.youtube.com/watch?v=kZ1F0-XS1l4] Engineering Leadership Community: https://www.engineeringleaders.io/ [https://www.engineeringleaders.io/]

Whats Hot in Cloud and AI-Native and what we learned from the AWS Outage

The AWS US-East problems on Oct 27th was a good reminder how depending we are on globally shared services. Built-in Resiliency is not guaranteed if systems have a hard dependency on a single region of a single vendor. Many of us have experienced systems being impacted that we use on a daily basis - some critical - some not so critical as Andi will tell you when he found out that is beloved Leberkas Pepi App didnt work! Besides this outage we discuss lessons learned from Cloud Native Days Austria, Observability and Platform Engineering Meetups in Gdansk and Tallinn as well as giving an outline to the upcoming Cloud and AI-Native US Tour from Henrik Rexed and Andi GrabnerAll the links we discussed are here * Leberkas Pepi: https://www.leberkaspepi.at/ [https://www.leberkaspepi.at/] * Cloud Native Austria: https://www.linkedin.com/company/cndaustria/ [https://www.linkedin.com/company/cndaustria/] * Observability Meetup: https://www.meetup.com/observability-tech-community-meetup-group/ [https://www.meetup.com/observability-tech-community-meetup-group/] * US Tour from Henrik and Andi: https://events.dynatrace.com/noram-all-de-engineering-efficiency-tour-2025-28225/ [https://events.dynatrace.com/noram-all-de-engineering-efficiency-tour-2025-28225/]

How to test, optimize, and reduce hallucinations of AIs with Thomas Natschlaeger

While Artificial Intelligence seems to have just popped up when OpenAI brought ChatGPT to the consumer market it has its roots in the mids of the 20th century. But what is it that all of a sudden made it into every conversation we seem to have? Thomas Natschlaeger, Principal Data Scientist at Dynatrace, who has been working in the AI and Machine Learning space for the past 30 years gives us a brief historical overview and describes the critical evolutionary steps and compelling events in that technology that made it to what it is today.  Tune in and hear about how AIs are trained, how they are optimized and most importantly: how their outputs can be tested and validated! In our conversation we discuss current trends towards small language models that will help model digital twins of our existing roles and how AIs are used to Validate other AIs like we humans do when a senior engineer does pair programming with a junior and with that provides essential feedback on current accuracy and input to improve the outcome of future tasks. Links we discussed LinkedIn Profile from Thomas: https://www.linkedin.com/in/thomas-natschlaeger/ [https://www.linkedin.com/in/thomas-natschlaeger/] Ask Me Anything Session on Davis CoPilot: https://www.linkedin.com/posts/grabnerandi_llm-copilot-activity-7373837743971393536-QgxV?utm_source=share&utm_medium=member_desktop&rcm=ACoAAABLhVQBbh8Jkn_K8din5tsQlMCpXRNzlKU [https://www.linkedin.com/posts/grabnerandi_llm-copilot-activity-7373837743971393536-QgxV?utm_source=share&utm_medium=member_desktop&rcm=ACoAAABLhVQBbh8Jkn_K8din5tsQlMCpXRNzlKU] Voxxed Conference Talk: https://amsterdam.voxxeddays.com/talk/?id=39801 [https://amsterdam.voxxeddays.com/talk/?id=39801] Attention is all you need paper: https://en.wikipedia.org/wiki/Attention_Is_All_You_Need [https://en.wikipedia.org/wiki/Attention_Is_All_You_Need]