PurePerformance

It sounds like 3 buzzwords, But there is more than that. We were intrigued by the Digital Mastery & Joy ( https://info.dynatrace.com/apm_wc_panera_na_registration.html ) webinar Klaus Enzenhofer @kenzenhofer ( https://twitter.com/kenzenhofer ) did with Panera Bread. In his introductory statement, Klaus cited a recent study from IDG on Digital Customer Experience. The biggest challenges are data silos, poor data quality, redundant data, and missing coordination between departments that manage the individual digital touchpoint channels (Mobile, IoT, Web, Physical, …). In our discussion we find lots of parallels between the problem that DevOps tries to solve and which challenges digital transforming businesses face: Silos! Disconnected Silos! But instead of Silos between Dev & Ops its Silos between your Business Teams that are all strictly focusing on their slice of bread (to reference some great stories from Prashant Karre, Director of Performance Engineering at Panera)Listen in and join our conversation. Make sure to check out the webinar recording Digital Mastery & Joy ( https://info.dynatrace.com/apm_wc_panera_na_registration.html )

What is Cloud Foundry? And why does Alois Mayr (@mayralois) say that Cloud Foundry is the most opinionated PaaS Platform in the world? Listen to this 101 show to get a good overview of what Cloud Foundry (CF) is, how it started and what offerings are available right now. Also learn what the main use cases are for CF Cloud Operators as well as for Developers that use the platform to push their applications and services.If you want to learn more or see Alois in action make sure to watch his Full Stack Monitoring on Cloud Foundry PurePerformance Clinic. ( https://www.youtube.com/watch?v=vsQHtdeizXQ&index=65&list=PLqt2rd0eew1bmDn54E2_M2uvbhm_WxY_6&t=1237s )

If you wonder what the top 3 ways are to pronounce Azure, then check out this episode. Also, if you want to learn more about what Azure really provides, why it used to be ahead of the curve, and why Microsoft had to re-invent it to provide services that software companies really needed, you won't want to miss this episode. Martin Gutenbrunner (@MartinGoodwell) gives us a good overview of the key Azure services and use cases that make Azure an interesting platform for many enterprises. It might also be surprising that it is not just a Microsoft-lock in Technology Stack. Besides .NET, there are many technologies that companies can use to run their applications on Azure IaaS, but more so on Azure Service Fabric. Listen in and learn the core fundamentals of Azure, why it might be interesting for you and what role monitoring plays.

If you think Node.js is just a technology used by small start ups then you better listen to this 101 episode. Daniel Khan (@dkhan) – a member of the Node.js community and working group – answers a lot of questions on why large enterprises such as Walmart, Paypal or Intuit use Node.js to innovate. Daniel also explains the internals of Node.js, its event driven processing model, its non-blocking asynchronous nature, and how that enables a list of interesting use cases. We also discuss how to monitor and optimize applications running on Node.js and why that might be different for a developer as compared to an Ops team that runs Node.js in combination with other enterprise software.

What is OpenStack? Oh – it's not the same as OpenShift? So what is OpenStack? If these questions are on your mind and you want to learn more about why OpenStack is used by many large organizations to build their own private cloud offering than listen to this 101 talk with Dirk Wallerstorfer (@wall_dirk). We learn about the different OpenStack core controller services (Cinder, Horizon, Keystone, Neutron, Nova …) as well as the core cloud services (Compute, Storage, Network, …) it provides to its users. Dirk also explains why and who is moving to OpenStack and what the challenges and use cases are when it comes to monitoring OpenStack environments – both for an OpenStack Operator as well as for the Application Owners that run their apps on OpenStack.

Todd DeCapua has been a performance evangelist for many years. In his recent work and publications, which includes Effective Performance Engineering ( http://www.effectiveperformanceengineering.com/ ) as well as several publications on outlets such as TechBeacon ( https://techbeacon.com/contributors/todd-decapua ), he introduces DevOps best practices to improve the 5 S-Dimensions: Speed, Stability, Scalability, Security and Savings.In our discussion with Todd we focused a lot on Security as it has been a more prominent topic in our industry recently. How to bake Security into the delivery pipeline and why it is such an important aspect. Automation seems to be the key which also includes automating functional checks, performance checks and – as we said: Security!Related Links:Follow Todd on Twitter ( https://twitter.com/AppPerfEng )Follow Todd on LinkedIn ( http://www.linkedin.com/in/todddecapua )Blog: How to build performance into your user stories ( https://techbeacon.com/how-build-performance-your-user-stories )

For our one year anniversary episode, we go “back to basics”, or, better said, “back problem patterns”.We picked three patterns that have come up frequently in recent “Share Your PurePath” sessions from our global user base and try to give some advice on how to identify, analyze and mitigate them:· Bad Multi-threading: Multi-threading is not a bad thing – but if done wrong it doesn’t allow your application to scale. We discuss key server metrics and how to correctly read multi-threaded asynchronous PurePaths. Also see the following blog: https://www.dynatrace.com/blog/how-to-analyze-problems-in-multi-threaded-applications/ · When Micro Service become Nano Services. This was inspired by a blog from Steven Ledoux ( https://www.dynatrace.com/blog/micro-services-when-micro-becomes-nano/ ). It's important to keep a constant eye on your micro-service architecture to avoid too tightly coupled or too fine grained architectures· Garbage Collection Impact: GC is important but bad memory management and heavy GC can potentially impact your critical transactions. We discuss different approaches on how to correctly measure the impact of garbage collection suspension. If you want to learn more check out the Java Memory Management secton of our online performance book: https://www.dynatrace.com/resources/ebooks/javabook/impact-of-garbage-collection-on-performance/

In this second episode with Goranka Bjedov from Facebook, we learn details about how Facebook monitors their infrastructure, services, applications and end users. Why they built certain tooling, and how & who analyzes that data. We then shifted gears to development where we learned how the onboarding process of developers works and that Goranka herself made her first production deployment within the first week of employment. Join us and learn a lot about the culture that drives Facebook Engineering

Goranka Bjedov ( https://www.linkedin.com/in/goranka-bjedov-5969a6/ ) has an eye over the performance of thousands of servers spread across the data centers of Facebook. Her infrastructure supports applications such as Facebook Social Network, WhatsApp, Instagram and Messenger. We wanted to learn from her how to manage performance in such scale, how Facebook engineers bring new ideas to the market and what role performance and monitoring plays.

In the second episode with Rick Boyd (check out his GitHub repo - https://github.com/DJRickyB ) we talk about how performance engineering evolved over time – especially in an agile and DevOps setting. It’s about how to evolve your traditional performance testing towards injecting performance engineering into your organizational DNA, providing performance engineering as a service. Making it easy accessible to developers whenever they need performance feedback. Rick gives us insights on how he is currently transforming performance engineering at IBM Watson. We also gave a couple of shout outs to Mark Tomlinson and his take on Performance in a DevOps world!