PurePerformance

What does the Dynatrace ACE (Autonomous Cloud Enable) Team work on these days? How do cloud platform owners implement Monitoring as a Self-Service? How to elevate from traditional performance engineering to Performance as a Self-Service? How to bring the Unbreakable Delivery Pipeline to life? What problems can be auto-remediated and how? And what’s the role of Keptn when it comes to boosting the path to Autonomous Cloud?In this episode we have Andi, track leader of Perform 2020’s Release Better Software Faster, talk us through what he is expecting to learn and take away from each breakout session. For more details check out his blog post or sign yourself up for a ticket to Perform 2020.https://www.dynatrace.com/news/blog/getting-ready-a-taste-of-whats-to-come-at-perform-2020s-release-better-software-faster-track/https://www.dynatrace.com/perform-vegas/

If you lift & shift to the cloud or move things back from the cloud to on-premise you most likely didn’t understand cloud and how it can help you transform your business and organization. A bold statement but very much true so as we learn in our conversation with Mike Kavis, Chief Cloud Architect at Deloitte.Mike (@madgreek65) has been in technology for 35+ years and was an early adopter of cloud technology as early as 2007 when AWS only had about 6 APIs. He has launched several startups and is now helping organizations to rethink what cloud means for them!Listen in to this podcast and learn why organizations fail if they don’t understand that cloud is about agility, it’s a platform for innovators and that traditional IT teams have to transform into internal cloud providers that provide services to their development teams for them to deliver better business value faster.Mike also runs his own podcast – you may want to listen in to the episode he recorded with Andi on Speeding up Digital Transformation with Cloud Native.https://www.linkedin.com/in/mikekavis/https://twitter.com/madgreek65https://www2.deloitte.com/us/en/pages/consulting/articles/digital-transformation-requires-a-cloud-native-mindset-cloud-computing-cloud-value-devops-noops-aiops-software-development-business-value.html

Wait! What? This is our 100th Episode of PurePerformance? For this special anniversary we invited Mark Tomlinson, Performacologist & “The Performance Sherpa”, who also inspired us through his PerfBytes Podcast to run our own PurePerformance Podcast.While we start with talking about performance in podcasting we move over to learning more about how Mark is establishing a Continuous Performance process at his current employer. We learn about new ways to do performance engineering in a continuous way, how to integrate it with your monitoring and why it is not always important to run the big load tests but rather focus on short feedback cycles.We want to give Mark credit for what he has done for the performance community and use this to say THANK YOU!! Hope to have you back for many more episodes to come and definitely for episode 200!https://www.linkedin.com/in/perfsherpa/https://www.perfbytes.com/

In 2013 the Phoenix Project by Gene Kim, Kevin Bahr and George Spafford sparked the next phase of DevOps transformations. 6 years later Gene Kim (@RealGeneKim) is back with The Unicorn Project, A Novel about Developers, Digital Disruption, and Thriving in the Age of Data.Developer Productivity is a key focus point of the story in the book and is what Gene has learned from different companies in the last years about. Good engineering companies put their best resources in developer productivity as it benefits every developer and allows them to use their best energy to provide business value instead of solving puzzles. Gene lets us in on his day at Etsy as well as the story from Nokia and the reason they moved away from Symbian – both stories that touch on developer productivity!If you want to learn more and read about the Five Ideals then download the excerpts from The Unicorn Project.https://itrevolution.com/the-unicorn-project/https://twitter.com/RealGeneKim

ChatOps is not new! But many organizations have not understood nor leverage its full potential. The use cases spread from “What’s on todays cafeteria menu?” to “Deploy my latest Git commit as canary and scale based my SLOs!”.Listen to this podcast and learn from Nestor Zapata and Zohaib Hassan – both working at Citrix – on how they have started their ChatOps journey, how the built trust in the technology and how it helped them transform their organization towards more autonomy thanks to the self-service model enabled through the chat bots they developed. We discuss many of their self-service use cases such as Performance as a Self-Service or even Self-Healing which they implemented through Chat Bots integrated with Slack, Dynatrace, ServiceNow, Jira and other tools.If you want to see their chat ops in action watch our Performance Clinic on Automate Deployment and Site Reliability with Bots, ChatOps and Dynatracehttps://www.youtube.com/watch?v=xE_LMQ9u7l4

16 years and still growing! Not every open source project has the track history of Spring (www.spring.io), a framework for building modern applications for the java runtime.Juergen Hoeller (@springjuergen), creator of the Spring framework, gives us insights into how he and his team have grown Spring to where it is now. We learn how they have built a developer community, how they deal with feedback, why its important to interact with your users on a regular basis and where the road is heading. Juergen also shares insights on topics such as scalability, performance, concurrency of the framework as well as how the rise of new java runtimes and distributions still keeps him excited about the future of Spring.If you want to learn more visit the Spring Framework’s GitHub project and make sure to read up on the latest blogs on https://spring.io/blog/https://spring.io/https://twitter.com/springjuergenhttps://github.com/spring-projects/spring-framework/

Are you analyzing the dependency between change frequency, technical complexity, and growth and length of code change hotspots? You should as it helps you with tackling technical debt and risk assessment the right way!In this podcast Adam Tornhill (@AdamTornhill) explains how he is applying data science and forensic approaches on data we all have in our organization such as: GIT commit history, ticket stats, static & dynamic code analysis, monitoring data … He is giving us insights in detecting code hotspots and how we can use leverage this data in areas such as risk assessment, the social side of code changes as well as explaining to business why working on technical debt is going to improve time to market.Also make sure to check out CodeScene: A powerful visualization tool that uses Predictive Analytics to find social patterns and hidden risks in your codeAdam Tornhill on Twitterhttps://twitter.com/AdamTornhillAdam Tornhill's bloghttps://www.adamtornhill.com/CodeScenehttps://www.empear.com

Did you know that Distributed Tracing has been around for much longer than the recent buzz? Do you know the history and future of OpenCensus, OpenTracing, OpenTelemetry and TraceContext? Listen to this podcast where we chat with Sonja Chevre, Technical Product Manager at Dynatrace, and Daniel Khan, Technical Evangelist at Dynatrace, about the past, current and future state of distributed tracing as a standard.OpenTelemetryhttps://opentelemetry.io/OpenCensushttps://opencensus.io/OpenTracinghttps://opentracing.io/TraceContexthttps://www.dynatrace.com/news/blog/distributed-tracing-with-w3c-trace-context-for-improved-end-to-end-visibility-eap/

In 2018 Adrian Cockcroft was quoted with: “Chaos Engineering is an experiment to ensure that the impact of failures is mitigated”! In 2019 we sit down with one of his colleagues, Adrian Hornsby (@adhorn), who has been working in the field of building resilient systems over the past years and who is now helping companies to embed chaos engineering into their development culture. Make sure to read Adrian’s chaos engineering blog and then listen in and learn about the 5 phases of chaos engineering: Steady State, Hypothesis, Run Experiment, Verify, Improve. Also learn why chaos engineering is not limited to infrastructure or software but can also be applied to humans.Adrian on Twitter:https://twitter.com/adhornAdrian's Blog:https://medium.com/@adhorn/chaos-engineering-ab0cc9fbd12a

Adrian Hornsby (@adhorn) has dedicated his last years helping enterprises around the world to build resilient systems. He wrote a great blog series titled “Patterns for Resilient Architectures” and has given numerous talks about this such as Resiliency and Availability Design Patterns for the Cloud at DevOne in Linz earlier this year.Listen in and learn more about why resiliency starts with humans, why we need to version everything we do, why default timeouts have to be flagged, how to deal with retries and backoffs and why every distributed architect has to start designing systems that provide different service levels depending on the overall system health state.Links:Adrian on Twitter: https://twitter.com/adhornMedium Blog Post: https://medium.com/@adhorn/patterns-for-resilient-architecture-part-1-d3b60cd8d2b6Adrian's DevOne talk: https://www.youtube.com/watch?v=mLg13UmEXlwDevOne Intro video: https://www.youtube.com/watch?v=MXXTyTc3SPU