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PurePerformance

PurePerformance

PurePerformance

The brutal truth about digital performance engineering and operations.
Andreas (aka Andi) Grabner and Brian Wilson are veterans of the digital performance world. Combined they have seen too many applications not scaling and performing up to expectations. With more rapid deployment models made possible through continuous delivery and a mentality shift sparked by DevOps they feel it’s time to share their stories. In each episode, they and their guests discuss different topics concerning performance, ranging from common performance problems for specific technology platforms to best practices in development, testing, deploying and monitoring software performance and user experience. Be prepared to learn a lot about metrics.
Andi & Brian both work at Dynatrace, where they get to witness more real world customer performance issues than they can TPS report at.
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Top 10 PurePerformance Episodes

Goodpods has curated a list of the 10 best PurePerformance episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to PurePerformance for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite PurePerformance episode by adding your comments to the episode page.

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/madgreek65
https://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
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Mark Tomlinson, “a veteran” in Performance Engineering, discusses how DevOps is a big opportunity for performance engineering – but also a threat for many that have been in the business for a long time. The big question is: are “traditional performance engineers” using their Load Runners or SilkPerformers at the end of the project lifecycle ready to change? Ready to learn new tools? Ready to think about automating performance engineering into the delivery pipeline and doing that in collaboration with the rest of the engineering team? Ready to “Check your Ego at the door”?
Listen to our conversation where we also discuss how these roles have changed in organizations we recently interacted with.
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The initial idea of the Cloud has long become commodity – which is IaaS. Containers are the current hype but still require you to take care of correctly configuring your container that will run your code.
Mike Villiger (@mikevilliger) – a veteran and active member of the cloud community – explains why it is really PaaS that should be on top of your list. And why monitoring performance, architecture and resource consumption is more important than ever in order for your PaaS Adventure not to fail.
Related article:
http://www.it20.info/2016/03/the-incestuous-relations-among-containers-orchestration-tools/
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When moving to the cloud - have you thought of the performance difference between App Gateway and Application Load Balancers? The disk speed and disk cache limitations impacting Cassandra and or Elasticsearch Performance? Challenges with pre-built containers or resource limits on pods impacting Java Garbage Collection behavior?
These are all performance considerations Klaus Kierer, Senior Software Engineer in the Cluster Performance Engineering Team at Dynatrace, has learned over the past months as he helped performance optimize the Dynatrace Platform as it was expanded from running on AWS Compute to run on Kubernetes hosted in Azure (AKS) or Google Cloud (GKE).
Listen in and learn why Performance Engineering is more important than ever as you are moving your workloads to the “hyper-hybrid-cloud”.
Show Links:
Klaus on Linkedin:
https://www.linkedin.com/in/klaus-kierer-67b83a81/
Blog - When to use Azure Load Balancer or Application Gateway:
https://blog.siliconvalve.com/2017/04/04/when-to-use-azure-load-balancer-or-application-gateway/
K8ssandra performance benchmarks on cloud managed Kubernetes
https://k8ssandra.io/blog/articles/k8ssandra-performance-benchmarks-on-cloud-managed-kubernetes/
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Keptn is now a CNCF sandbox project bringing a new event-driven approach to continuous delivery and operations. While many are just hearing about Keptn the first time, it is interesting to learn more about how it started, which challenges the team ran into, what they learned about K8s, and running an open-source project. We therefore invited Johannes Braeuer (@braeuer_j) and Andreas Grimmer (@grimmer_andreas) – both Keptn project maintainers and contributors – who have been working on the Keptn project since its inception.
Especially for groups that want to start open-source projects or are on the brink of deciding pro or con Kubernetes should listen until the end as Johannes and Andreas tell us what they would do differently now if they would start today based on the learnings from the past 18 months.
If you want to join the Keptn community, make sure to star our GitHub project, join the Slack channel, and join our regular community meetings!
Keptn
https://keptn.sh/
Johannes Bräuer on Twitter
https://twitter.com/braeuer_j
Andreas Grimmer on Twitter
https://twitter.com/grimmer_andreas
Keptn Github
https://github.com/keptn/keptn
Keptn Slack
https://keptn.slack.com/
Keptn Community
https://github.com/keptn/community
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"We will overwhelm developers if we give them the same specialized observability, security or deployment tools that are used by their platform engineering, operations, SREs or security teams!" - says Viktor Farcic, Developer Advocate at UpBound and host of The DevOps Toolkit YouTube channel.
Tune in and hear us discuss about making observability easier accessible for developers, what Viktor doesn't like about Kubernetes and how Crossplane - the cloud native control plane framework - can be the gateway to real product-oriented platform engineering!
Here the links we discussed during this episode:
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PurePerformance - Azure Updates with Product Manager Patrick Thurner
play

01/31/19 • 9 min

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Use Things you Understand! Learn the fundamentals to understand the layers of abstraction! And remember that we don't live in a world with unlimited resources!
These are advice from our recent conversation with Ernst Ambichl, Chief Product Architect at Dynatrace, who has started his performance career in the late 80s building the first load testing tools for databases which later became one of the most successful performance engineering tools in the market.
Tune in and learn about how Ernst has evolved from being a performance engineer to become an advocate for "Designing and Architecting for Performance". Ernst explains how important good upfront analysis of performance requirements and characteristics of the underlying infrastructure is, how to define baselines and constantly evaluate your changes against your goals.
On a personal note: I want to say THANK YOU Ernst for being one of my personal mentors over the past 20+ years. You inspired me with your passion about performance and building resilient systems
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Andi Grabner, our man-on-the-street, gets the scoop on:
-Observability and beyond - with Thomas Rothschädl
-Automated, AI-powered answers for Kubernetes with Matt Reider
-RUM Roadmap with Alexander Sommer
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FAQ

How many episodes does PurePerformance have?

PurePerformance currently has 297 episodes available.

What topics does PurePerformance cover?

The podcast is about Podcasts and Technology.

What is the most popular episode on PurePerformance?

The episode title 'Bad Software Engineering killed Cyberpunk 2077 Release – What we can learn from it with Dave Farley' is the most popular.

What is the average episode length on PurePerformance?

The average episode length on PurePerformance is 43 minutes.

How often are episodes of PurePerformance released?

Episodes of PurePerformance are typically released every 13 days, 23 hours.

When was the first episode of PurePerformance?

The first episode of PurePerformance was released on May 5, 2016.

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