PurePerformance

Asir Vedamuthu Selvasingh, a Java developer with 26 years of experience, discusses observability and scaling aspects of Java apps on Azure Spring Cloud. Topics include deployment process, scaling capabilities, organizing subscriptions, best practices for writing scalable apps, and advancements in Microsoft and Azure.

If there is one thing you take away from this episode then the answer to “Why we should refrain from Reply All on company wide emails”. Jokes aside – as security and performance are not always funny!In this special anniversary episode we have Mark Tomlinson, System Performance Specialist, talking about the considerations and trade-offs between performance and security. We learn about performance vulnerabilities and why it is important to factor in the additional overhead each layer of security adds to your application stack. It's always a pleasure having Mark on the show – whether it was in the past, present or will be in the future.If you want to learn more from Mark on the topic of performance make sure to check out PerfBytes that has inspired us to launch PurePerformance.Show Links:Mark Tomlinson on Linkedinhttps://www.linkedin.com/in/mtomlins/PerfByteshttps://www.perfbytes.com/

Optimizing or debugging database calls has to become as easy as optimizing your application code based on logs, metrics or traces your observability platform provides to developers. It has to be doable by the development and DevOps teams who are becoming more end-2-end responsible which includes new database services that are running in some managed cloud service.In this episode we hear from Nimesh Bhagat, Product Manager at Google, how modern database observability supports development and DevOps teams to better understand, optimize and operate their end-2-end service flow. A great project Nimesh has been working on is sqlcommenter which uses OpenTelemetry to continue distributed traces started in the application into the internals of the database engine.If you want to learn more check out the sqlcommenter documentation or the Google Podcast on Cloud SQL Insights.Show LinksNimesh on Linkedinhttps://www.linkedin.com/in/nimesh-bhagat-b062354/SQLCommenterhttps://cloud.google.com/blog/products/databases/sqlcommenter-merges-with-opentelemetrySQLCommenter Documentationhttps://google.github.io/sqlcommenter/Google Podcast on Cloud SQL Insightshttps://www.gcppodcast.com/post/episode-247-cloud-sql-insights-with-nimesh-bhagat/

If you need to learn how Prometheus, OpenTelemetry, Loki, FluentD, FluentBit .. help you with your observability requirements in the cloud native and non-cloud native space but you don’t have hours or days to dig into the details yourself then you have a new place to go to get educated within 20-30 minutes: Is it Observable is a new educational YouTube channel by Henrik Rexed, Cloud Native Advocate at Dynatrace.In this episode we have Henrik explain the motivation of creating Is it Observable, how to best use the videos and the tutorials on GitHub to educate yourself and gave a glance on upcoming episodes that will also include guests from various tool and platform vendors.Make sure to subscribe to his channel, check out the tutorials on GitHub and give him feedback on twitter (@hrexed) or LinkedInShow LinksIs It Observable YouTube Channel:https://www.youtube.com/channel/UCRiin4u8YZGlVQRZp7qOOawHenrik Rexed on Linkedinhttps://www.linkedin.com/in/hrexed/Is It Observable Github Repohttps://github.com/isItObservableHenrik Rexed on Twitterhttps://twitter.com/Hrexed

Tuning the JVM GC to reduce garbage collection time will speed up application performance. If you agree with that statement then I encourage you to listen to this episode where I have Stefano Doni, CTO at Akamas, walk us through 4 Java Tuning Facts & Myths. He is going into details why even in 2021 with great improvements in the JVM it is still important to optimize the JVM specific to the environment, workload and application behavior. If you want some visuals try to catch his presentation from this years Performance Summit called “How AI optimization will debunk 4 long standing Java tuning myths”To follow up with Stefano check out their resources such as their tutorials on explore.akamas.io, check out their blog posts or videos on their new website akamas.io or follow them on twitter @akamaslabsLinks from the Show:Stefano on Linkedinhttps://www.linkedin.com/in/stefanodoni/YouTube: How AI optimization will debunk 4 long-standing Java tuning mythshttps://www.youtube.com/watch?v=9VvaxATyYsAAkamas Tutorialshttps://explore.akamas.io/Akamas websitehttps://www.akamas.io/Akamas on Twitterhttps://twitter.com/AkamasLabs

Understanding the secret behind the turbo button on his first 486 PC motivated our guest to study computer science. That decision started a journey making him constantly learn new technology ranging from coding languages, operational tasks as well as a focusing on improving developer experiences and boosting developer productivityListen in and hear from Michael Friedrich (@dnsmichi), The Ops in Dev Evangelist at GitLab, on why it is important to enable developers to design and develop code that makes it easier for DevOps and SREs to operate and automate. “The biggest challenge is code that breaks production but where there is no clear evidence for DevOps & SREs about the root cause”Make sure to join Michael’s #EveryCanContribute and follow his advocacy such as DockerCon 2021 on From Infrastructure as Code to Cloud Native Deployments in 5 MinutesLinks from show:Linkedinhttps://www.linkedin.com/in/dnsmichi/Twitterhttps://twitter.com/dnsmichiEveryone Can Contributehttps://everyonecancontribute.com/From Infrastructure as Code to Cloud Native Deployments in 5 Minhttps://docker.events.cube365.net/dockercon-live/2021/content/Videos/emEjNyA4WmBSv8BW2

“Because 9 out of 10 load testing projects fail due to ignorance and outdated thinking about load testing!”. That was the answer Leandro Melendez, aka Señor Performo, gave us when asking him why the world needs yet another book about load testing.In too many projects Leandro has to remind and educate decision makers and practitioner’s about load testing best practices, how to ask the right questions and how to approach a project from start to finish. His book “The hitchhiking guide to load testing projects” is a fun and edu-taining read for people that are new to the trade as well as seasoned performance engineers.For more content from Senor Performo check out his PerfBytes Espanol Podcast, his Spanish YouTube channel and all the performance engineering presentations he has been given over the years.https://www.srperf.com/podcast/https://www.srperf.com/el-youtube-channel/https://www.srperf.com/presenter/Pre-order the book herehttps://www.amazon.com/dp/B09C4ZT1LB

Building products that people want to use and activating users to try out new capabilities has to be the ultimate goal of every product manager. User and usage data is the enabler to make the right decisions. But data doesn’t come for free – and making the right decisions is something that data alone doesn’t guaranteeListen in and learn from Manav Chugh, product enthusiast, medium blogger and organizer of ProductTank Linz, what inspired him to choose the path from Zero to Data-Driven Product Manager. In our conversation we cover how to capture what data, the importance of data privacy, what we can learn from companies that do data-driven design well and why he loves organizations such as www.ecosia.org.Links from show:Manav on Linkedinhttps://www.linkedin.com/in/manavchugh/Manav's Medium Bloghttps://manav77-chugh.medium.com/ProductTank Linzhttps://www.mindtheproduct.com/producttank/linzEcosia Search Enginehttps://www.ecosia.org/

Like many frontend developers, Sergey Chernyshev was inspired in the late 2000 by Steve Souders to contribute to and grow the web performance community. Not only did he launch the Meed4SPEEDs as part of the New York Web Performance Meetup. He also worked for meetup.com helping them to improve web performance and user experience. Over the past years Sergey contributed to many projects such as WebPageTest.org, UX Capture Library, Jamstack and more.Tune in to this episode, learn what has and what hasn’t changed in the quest for better user experience. Get a quick start on Core Web Vitals and current challenges. Most important: get inspired to contribute back to this community.Llinks we discussed during the podcast are here:Sergy on LinkedIn https://www.linkedin.com/in/sergeychernyshev/Steve Souders Page: https://stevesouders.com/NY Web Performance Meetup: https://www.meetup.com/Web-Performance-NY/WebPageTest: https://www.webpagetest.org/Github UX Capture: https://github.com/ux-capture/ux-captureJamstack: https://jamstack.org/WebVitals: https://web.dev/vitals/CrUX: https://developers.google.com/web/tools/chrome-user-experience-reportEdge Compute:CloudFlare Workers: https://workers.cloudflare.com/Fastly: https://www.fastly.com/products/edge-compute/serverlessPWA Stats: https://www.pwastats.com/Next.JS approach to SSR: https://nextjs.org/docs/basic-features/pages

In his SLOConf talk Production load testing as a guardrail for SLOs and in his blog Production Load Testing, Hassy Veldstra, founder of artillery.io makes the case for load testing in production. It helped him in various organizations to establish SLOs (Service Level Objectives) and change the way engineers think about performance. He got inspired by Building Evolutionary Architectures which introduces the concept of performance as a fitness function.Tune in into our conversation, hear our arguments pro and contra load testing in the various environments and learn why in the end we agreed on the fact that SLOs – while nothing really new – are a great chance to re-define performance engineering.Linkedinhttps://www.linkedin.com/in/hveldstra/SLOconf: Production load testing as a guardrail for SLOs - by Hassy Veldstrahttps://www.youtube.com/watch?v=Y20K1mJB6tkBlog: Load testing. In production.http://veldstra.org/production-load-testing/Artillery Websitehttps://artillery.io/Book: Building Evolutionary Architectureshttps://www.thoughtworks.com/books/building-evolutionary-architectures