PurePerformance

We got to talk with Bernd Greifeneder, Founder and CTO of Dynatrace, who recently gave a talk on “From 0 to NoOps in 80 Days” explaining the “Digital Transformation Story of Dynatrace – the product as well as the company”

The transformation started in 2012 when Dynatrace used to deploy 2 major releases of its Dynatrace AppMon & UEM product to the market. The incubation of the startup Ruxit within Dynatrace allowed engineering, marketing and sales to come up with new ways and ideas that allow continuous innovating. In 2016 the incubated team was brought back to Dynatrace to accelerate the “Go To Market” of all the innovations. A new version of its Dynatrace SaaS and Managed offering is now released every 2 weeks with 170 production updates per day. Many aspects were also applied to all other product lines and engineering teams which boosted the output and raised quality of these enterprise products.

Are there new Web Performance Rules since Steve Souders started the WPO movement about 10 years ago? Do we still optimize on round trips or does HTTP/2 change the game? How do we deal with “mobile only” users we find in emerging geographies. How does Google itself optimize its search pages and what can we learn from it. In this session we really got to cover a lot of the presentation Pat Meenan (@patmeenan) did at Velocity this year.


Related Links:
* Scaling frontend performance - Velocity 2016
***** https://www.youtube.com/watch?v=LdebARb8UJk

* WEBPAGETEST
***** https://www.webpagetest.org

* Google AMP
***** https://www.ampproject.org/
***** https://github.com/ampproject/amphtml

Pat Meenan (@patmeenan) is a veteran when it comes to Web Performance Optimization. Besides being the creator of WebPageTest.org he has also done a lot of work recently on the Google Chrome team to make the browser better and faster.
During his recent Velocity presentation on “Using Machine Learning to determine drivers for bounce and conversion” he presented some very controversial findings about what really impacts end user happiness. That it was not rendering time but rather DOM Load Time that correlates with conversion and bounce rates. In this session we dig a bit deeper into which metrics you can capture from your website and presented them to your business side as an argument for investing in faster websites. Find out which metric you really need to optimize in order to “move the needle”

Related Links:
* Using machine learning to determine drivers of bounce and conversion - Velocity 2016
***** https://www.youtube.com/watch?v=TOsqP16jnDs

* WEBPAGETEST
***** https://www.webpagetest.org/

* WPO-Foundation Github repository for machine learning
***** https://github.com/WPO-Foundation/beacon-ml

Andi is at JavaOne in San Francisco. In this episode of PurePerformance Cafe, Andi talks with Pieter Humphrey (@PieterHumphrey) from Pivotal talking about Platform as a Service (PaaS) and how the benefit of having developers focus on just writing code can also be a challenge as bad code can do a lot of harm in terms of PaaS and IaaS costs.

Check this episode to learn more about Cloud Foundry as well as other PaaS providers, the promises and hopes but also the potential challenges.

Related Links:

* Pivotal Cloud Free Trial

***** http://run.pivotal.io/

Andi is at JavaOne in San Francisco. In this episode of PurePerformance Cafe, Andi talks to Carlos Sanchez (@csanchez) of CloudBees about moving from Monolith to Microservices. by moving Jenkins, scaled at thousands of worker instances, to the cloud. They also talk about the importance of performance in the pipeline - how to bake it in earlier - so that companies that use Cloud Bees can actually push good code through an optimized, cloud based pipeline.

Adam Auerbach (@Bugman31) has helped Capital One transform their development and testing practices into the Digital Delivery Age. Practicing ATDD and DevOps allows them to deploy high quality software continuously. One of their challenges has been the rather slow performance testing stage in their pipeline. Breaking up performance test into smaller units, using Docker to allow development to run concurrency and scalability tests early on, and automating these tests into their pipeline are some of the actions they have taken to level-up their performance engineering practices. Listen to this podcast to learn about how Capital One pushes code through the pipeline, what they have already achieved in their transformation and where the road is heading.

Related Links:
* Hygea Delivery Pipeline Dashboard
https://github.com/capitalone/Hygieia
* Capital One Labs
http://www.capitalonelabs.com/#welcome
* Capital One DevExchange
https://developer.capitalone.com/

Do you speak SQL? Do you know what an Execution Plan is? Are you aware that large amounts of unique queries will impact Database Server CPU and also efficiency of the Execution Plan and Data Cache? These are all learnings from this episode where Sonja Chevre (@SonjaChevre) and Harald Zeitlhofer (@HZeitlhofer) – both database experts at Dynatrace – pointed out database performance hotspots and optimizations that you many of us probably never heard about.

Watch the Online Performance Clinic -Database Diagnostics Use Cases with Dynatrace
https://www.youtube.com/watch?v=pEXfqzE-WQM

Are you still exporting load testing reports into Excel compare different runs manually? Matt Eisengruber – Guardian at Dynatrace – walks us through the life-changing transformation story of one of his former clients who used to spend an entire business day analyzing LoadRunner results.
Through automation, they managed to get her the results when she walks into the office in the morning – giving her more time to do “real” business analyst work instead of doing manual number crunching. Matt shares some insights into what exactly it is they did to automate Dynatrace Load Test comparison, how they created the reports and which metrics they ended up looking at.

Alois Reitbauer (@AloisReitbauer) guest hosts - Mike Jones ( http://bit.ly/mjlnk ) takes us on a journey how the team moved a monolithic application that was built by a remote team to a micro service architecture. Learn how the manage a couple of million lines of code with only 5 people while improving performance and availability. Mike also shares lessons learned on their journey and shares strategies on how to make the transition to micro services while having to keep the lights on for day-to-day business.

Scott Stocker (@sestocker), Solution Architect at Perficient, tells us the background of a recent load testing engagement on an ASP.NET App running on SiteCore. Turns out that even these apps on the popular Microsoft platform suffer from the same architectural and implementation patterns as we see everywhere else. Bypassing the caching layer through FastQuery resulted in excessive SQL, which caused the system to not scale, but crumble. Scott tells us how they identified this issue and what his approach as an architect is to proactively identify most common performance and scalability problems.