201 is the HTTP status code for Resource Created. It is also the number of PurePerformance Episodes (including this one) we have published over the past years. None better to invite than the person who initially inspired us to launch PurePerformance: https://www.linkedin.com/in/mtomlins/, Performacologist and Director of Observability at FreedomPay Tune in and listen to our thoughts on current state of automation, a recap on IFTTT, whether we believe that AIs such as CoPilot will not only make us more efficient in creating code and scripts but also lead to new ways of automation. We also give a heads-up (or rather a recap) of what Mark will be presenting on at Perform 2024. To learn more about and from Mark follow him on the various social media channels: LinkedIn: https://www.linkedin.com/in/mtomlins/ Performacology: https://performacology.com/

Marcelo Amaral is a Researcher for Cloud System Optimization and Sustainability. With his background in performance engineering where he optimized microservice workloads in containerized environments making the leap towards analyzing and optimizing energy consumption was easy. Tune in to this episode and learn about how Kepler, the CNCF project Marcelo is working on, which provides metrics for workload energy consumption based on power models it was trained on by the community. Marcelo goes into details about how Kepler works and also provides practical advice for any developer to keep energy consumption in mind when making architectural and coding decisions. To learn more about Kepler and the episode today check out: LinkedIn from Marcelo: https://www.linkedin.com/in/mcamaral/ CNCF Blogpost on Kepler: https://www.cncf.io/blog/2023/10/11/exploring-keplers-potentials-unveiling-cloud-application-power-consumption/ Kepler GitHub Repo: https://github.com/sustainable-computing-io/kepler

Its only been a year since ChatGPT was introduced. Since then we see LLMs (Large Language Models) and Generative AIs being integrated into every days life software applications. Developers have the hard choice to pick the right model for their use case to produce the quality of output their end users demand. Tune in to this session where we have https://www.linkedin.com/in/nirga/, CEO and Co-founder of https://www.traceloop.com/, educating us about how to observe and quantify the quality of LLMs. Besides performance and costs engineers need to look into quality attributes such as accuracy, readability or grammatical correctness. Nir introduces us to https://github.com/traceloop/openllmetry- a set of Open Source extensions built on top of OpenTelemetry providing automated observability into the usage of LLMs for developers to better understand how to optimize the usage of LLMs. His advice to every developer is to start measuring the quality of your LLMs on Day 1 and continuously evaluate as you change your model, the prompt and the way you interact with your LLM stack! If you have more questions about LLM Observability check out the following links: OpenLLMetry GitHub Page: https://github.com/traceloop/openllmetry Traceloop Website: https://www.traceloop.com/ OpenLLMetry Documentation: https://traceloop.com/docs/openllmetry

After analyzing Distributed Traces over more than 15 years Brian and I thought that everyone in software engineering and operations must be satisfied with all that observability data we have available. But. Maybe Brian and I were wrong because we didn’t fully understand all the use cases - especially those for developers that must fix code in production or need to quickly understand what code from somebody else is really doing without having the luxury to add another log line and redeploy on the fly. To learn more about the observability requirements of developers we invited https://www.linkedin.com/in/liran-haimovitch/, https://www.rookout.com/ and now part of Dynatrace, who has spent the last 7 years solving the challenging problems that developers face day and night. Tune in and learn about what non-breaking breakpoints are, how it is possible to "debug in production" without impacting running code and how we can make developers lives easier even though we push so many things "to the left"

I was invited to speak at https://fintechzone.hu/esemenyek/banktechshow/program/ where the nations IT leaders in the banking sector presented and discussed the future of banking - both in the cloud as well as what it means for the physical bank branches. I got a chance to sit down with https://www.linkedin.com/in/adam-gajdi-a9328628/, IT Solutions CoE Lead at K&H, who walked me through the process of their recent new mobile banking app launch. Adam highlighted the importance of observability for both business owners as well as developers. Furthermore, Adam enlightened me with the fact that Hungarian banks are mandated to conduct chaos tests to proof that their systems are resilient in case of data center outages. I was obviously also curious about how AI, LLMs and other technologies are adopted in their sector. Tune in to learn more

Besides attending KubeCon 2023 NA https://www.linkedin.com/in/grabnerandi/, co-host of PurePerformance but guest today, has also travelled parts of the US to chat with the broader observablity community on topics such as Platform Engineering, Observability, DevOps, Automation & Security. Tune in and get a quick recap of all the topics Andi has picked up on his recent trip

Zero-Trust Architectures. Data-Flow Inventory. User Experience First! Those are key initiatives in the public sector to ensure that digital services delivered to citizens around the globe are not only working with a flawless user experience but are also safe from any bad actors trying to disrupt agencies on local, stage and federal sectors. In this episode we invited https://www.linkedin.com/in/williehicksee/, Federal CTO at Dynatrace, to learn more about the state of observability and security with government agencies Willie has been working with over the past decade. In our conversation we explore the differences between commercial and government as it comes to ROI or how they see competition as a driving motivator. To learn more about the public sector tune into the https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fpodcasts.apple.com%2Fus%2Fpodcast%2Ftech-transforms-sponsored-by-dynatrace%2Fid1582027042&data=05%7C01%7CBrian.Wilson%40dynatrace.com%7C5c41f1603d1e4e32256508dbd4ad1857%7C70ebe3a35b30435d9d677716d74ca190%7C1%7C0%7C638337612159720077%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=TGZH9PYwip5Xu%2BevR6aEXmTV%2F6UlNEud0cvqLa7q3mU%3D&reserved=0 that Willie is co-hosting with his colleague Carolyn Ford.

4% of worldwide CO2 emissions come from IT and like in all other industries we have big potential to not only reduce the carbon footprint but also lower costs. Tune in to our episode where we have https://www.linkedin.com/in/mario-leander-reimer-b2b67aa0/, CTO at QAware GmbH, talk about his top 3 suggestions for Sustainable IT: Making the right architectural choices, Right-sizing your environments and shutting down environments not needed! Mario is also heavily involved in the CNCF and gives us an overview of projects to look into such as Kepler, kube-green, Karpenter or Carbon Aware Multi-Cluster Schedulers. Here are the links we discussed: Blue turns Green presentation: https://speakerdeck.com/lreimer/blue-turns-green-approaches-and-technologies-for-sustainable-k8s-clusters-number-kcdmunich?slide=5 Kepler Project: https://kepler.gl/ kube-green: https://kube-green.dev/ CNCF TAG Environmental Sustainability: https://github.com/cncf/tag-env-sustainability Sustainability Week: https://tag-env-sustainability.cncf.io/cloud-native-sustainability-week/

https://www.linkedin.com/in/martinspier/ was one of six engineers to take care of all of Netflix Operations about 10 years ago. Back then performance and observability tools weren't as sophisticated and didn't scale to the needs of Netflix as some do today. https://github.com/Netflix/flamescopewas one of the Open Source projects that evolved out of that period, visualizing Flame Graphs on a time-scaled heatmap to identify specific performance patterns that caused issues in their complex systems back then. Tune in to this episode and hear more performance and observability stories from Martin, about his early days in Brazil, his time at Expedia and Netflix and about his current role as VP of Engineering at PicPay - one of the hottest fin techs in Brazil. More links we discussed: Performance Summit talk about FlameCommander: https://www.youtube.com/watch?v=L58GrWcrD00 CMG Impact talk on Real User Monitoring at Netflix: https://www.cmg.org/2019/04/impact-2019-real-user-performance-monitoring-at-netflix-scale/ Learn more about Vector: https://netflixtechblog.com/extending-vector-with-ebpf-to-inspect-host-and-container-performance-5da3af4c584b Martin's GitHub: https://github.com/spiermar Connect with him on LinkedIn: https://www.linkedin.com/in/martinspier/

Africa is not only the second largest continent in the world - its also top when it comes to adoption of cloud native technologies. I was fortunate to spend a week in South Africa and had the chance to spend a lot of time with Kelvin Klein, Dynatrace Product Manager at Mediro ICT. After two observability events in Johannesburg and Cape Town and several meetings with local tech leaders I got to sit down with Kelvin and learn more about the status of Observablity, Cloud Native and Security in South Africa.