Pureperformance

Most of us remember the DDOS attack last year executed through thousands of Security Camera IoT devices. This raised security questions around IoT but also helped the public to understand that IoT (Internet of Things) is a real thing.In this session, we learn from Harald Zeitlhofer ( https://twitter.com/HZeitlhofer ) why he rather likes to call this hot trend IoE (Internet of Everything), what the key use cases of IoE are and how proper monitoring of these devices might have been the key to detect the attack before it actually happened.To learn more about this exciting next big thing we suggest to start with Harald’s latest blog posts on his most favorite topic.

If you believe OpenStack and OpenShift are pretty much the same thing. you better listen to this episode with Martin Etmajer ( https://twitter.com/metmajer ). He explains what OpenShift is, how it differentiates from Cloud Foundry and other PaaS platforms, and which major contribution it can have to successful DevOps transformations.To put it in his words: OpenShift provides great user experience for developers to push their code changes automatically, packaged as containers, into different environments without having to worry about where and how these containers run or how they scale up & down. You should also check out his presentations from Red Hat Summit on Monitoring and Logging in OpenShift ( https://www.slideshare.net/martinetmajer ) as well as more material on http://www.dynatrace.com/openshift.

Project Jigsaw, G1 as default garbage collector, ahead-of-time compilation, Stack Walking API and many more changes that you should be aware of when upgrading to Java 9. Philipp Lengauer, whom we met at devone.at, gives us all the answers and technical deep dive into all these JVM changes. Especially for performance engineers an episode worth while listening to.If you want to learn more check out Philipps presentation at devone:https://youtu.be/Nsg_rhlf4_U?list=PLfi6VUNSzNYmUyeZ2BTM_WmZjgi0FOqRl

If you thought EC2 was the first service offered by Amazon Web Services and if you think 53 in “Route 53” is just a random number then you should listen to this 101 on AWS Podcast. This time we got to chat with Wayne Segar ( https://www.linkedin.com/in/wayne-segar-6222ba57/ ) who has been helping companies to move to new cloud technologies and services such as AWS. Wayne gave us a great overview of the key services in Compute, Database, Storage, Management, Development as well as how Monitoring works with AWS.If you want to make your first steps with AWS, such as deploying your first EC2 Instance or Application on Elastic Beanstalk, then feel free to follow our 101 AWS Monitoring Tutorial:https://github.com/Dynatrace/AWSMonitoringTutorials

Why would I move to .NET Core? If I move, can I just recompile my .NET code with the new .NET Core and run it on Linux? Or is there more to it? What is .NET Core at all and what does it provide as compared to ASP.NET Core? Can I still monitor my .NET Applications the same way as in the past or is there a new approach for tracing and monitoring? And is it true that all of this is now available on GitHub as Open Source project?Get answers to all these questions by listening to this episode where we got to talk with Christoph Neumueller @discostu105 ( https://twitter.com/discostu105 ) and Gergely Kalapos @gregkalapos ( https://twitter.com/gregkalapos ). Christoph and Gergely are two lead engineers for the Dynatrace .NET Agent technology. They are also code contributors to the .NET Open Source and other open source projects such as SuperDump ( https://github.com/Dynatrace/superdump ). Also check out their blogs ( https://www.dynatrace.com/blog/tag/net/ ) to learn more on .NET Core, ASP.NET Core and other .NET re

Visually Complete and Speed Index have been introduced to better measure real end user performance experience. Klaus Enzenhofer @kenzenhofer ( https://twitter.com/kenzenhofer ) gives us a detailed description of these metrics, how they are getting calculated, and which problem they solve. What we also learn in this 101 is why now we finally have these metrics available not just for synthetic monitoring but also for real user monitoring. This can be attributed to the advances in browser technologies as well as to some smart engineering. In our discussion we also cover other recent advances and use cases in Web Performance Optimization – such as the usage of performance markers.If you want to learn more check out the blogs from Google on Speed Index ( https://sites.google.com/a/webpagetest.org/docs/using-webpagetest/metrics/speed-index ) as well as the blog from Klaus on how Speed Index and Visually Complete made it into RUM offerings ( https://www.dynatrace.com/blog/visually-complete-speed-index-for-real-user-

Spoiler Alert: Serverless doesn’t mean that we got rid of servers. We just don’t have to think about them anymore as we can focus on coding functions that get executed when triggered through certain events. Daniel Khan (@dkhan) tells us more about use cases of Serverless or as he likes to call it “Function as a Service” (FaaS). We also chat a lot about monitoring and the challenges of actually monitoring and debugging serverless code. It is still a young technology but constantly evolving.

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 conversatio

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-stor

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 managem

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!

We got Rick Boyd ( https://www.linkedin.com/in/richardjboyd/ ) – Application Performance Engineer at IBM Watson – and elaborated what Continuous Performance Testing is all about. We all concluded its about Faster Feedback in the development cycle back to the developers – integrated into your delivery pipeline. As compared to delivering performance feedback only at the end of a release cycle. We discussed different approaches on how to “shift left performance” with the benefit of continuous performance feedback!

Brett Hofer (@brett_solarch) has been engaged in numerous DevOps Transformation projects mainly for very large enterprises. We got to talk with him on this episode to learn more about how he assesses the status quo when he walks into an organization, what the top blocking items for a successful transformation are and what the best approaches are to implement the recommended changes. Spoiler alert: we talked a lot about IT Ops Automation, building cross functional teams and understanding and defining responsibilities and roles. If you want to learn more about what Brett is doing check out his blogs about DevOps on https://www.dynatrace.com/blog/author/brett-hofer/.

Thomas McGonagle just had his 10 years DevOps anniversary at it was 10 years ago when he got first exposed to Infrastructure as Code through Puppet. He is currently working with F5, helping Big IP Network Teams around the world automate the Network as part of their DevOps transformation.We met Tom at a recent DevOps meetup in Boston which sparked this conversation on what “Metrics Driven Continuous Delivery” could mean for Network Operations Engineers. What are the metrics to look at? How to engage with the application teams to provision better and automated network resources? How to bake this into the Continues Delivery Cycle?Besides NetOps Thomas is also passionate about CI/CD. He runs the largest Jenkins User Group in the World out of Boston, MA. If you happen to be around check out their next meetups and DoJo’s: https://www.meetup.com/Boston-Jenkins-Area-Meetup/