Top .NET, Java & Web Performance Problems. Why these apps failed, how to avoid it and which metrics to look at, e.g: # of Busy vs. Idle Worker Threads, Connection Pool Acquisition Time, # Exceptions Thrown, ...
Too many database queries, too much data loaded into memory, overloaded html pages, bad architectural decisions, ...
These are all reasons why Java Applications are slow. In this presentation - first given at Boston Java Meetup - shows 6 real life examples on why Java-based Applications failed - and you may even heard about this in the news.
All examples and the technical details were captured using Dynatrace which is available as a 30 Day Free Trial - http://bit.ly/dttrial - with an option to extend it for another 180 Days in case you share some of your results with us
Web and App Performance: Top Problems to avoid to keep you out of the NewsAndreas Grabner
As presented at Boston and NYC Web Perf Meetup.
Its time to level up Web Performance Optimization started by Steve Souders. We need to look beyond the rim of the browser as there are many problems happenig from browser to database.
In this presentation I showed how Browser Diagnostics needs to evolve into End-to-End Application Diagnostics and Monitoring. Showing 5 real life examples on why applications failed and the metrics to look at to identify these problems early on
How to keep you out of the News: Web and End-to-End Performance TipsAndreas Grabner
Too many websites make it too the news when they fail to deliver, e.g: eCommerce when they go down on Cyber Monday, Tax Software on Tax Day or Online Banking when people want to check on their latest pay check.
In this presentation - presented at several Web Performance, Java, .NET, ... Meetups I walk through the most common performance mistakes people made in recent history. I explain in technical detail what the problem was and how to find these problems earlier as you dont want to wait until your site crashes and you end up in the news.
BTD2015 - Your Place In DevTOps is Finding Solutions - Not Just Bugs!Andreas Grabner
This is about leveling-up and REVOLUTIONIZING Testing as part of your Agile/DevOps Transformation.
You can contribute more than testing functionality. You need to Level-Up your skill set by understanding the apps you are testing. # Images, # JS Files, # SQL Statements, Connection Pool Utilization and Garbage Collection Activity have to be added to your portfolio.
Check these metrics when you do your functional testing and report regressions to your engineers even though the functionality is still good. But you just uncovered an Architectural regression that will lead to a scalabilty and performance problem.
Finding these problems early will eliminate a lot of wasted and unplanned time later on in the lifecycle. that is your contribution to delivering software faster with better quality
Hugs instead of Bugs: Dreaming of Quality Tools for Devs and TestersAndreas Grabner
I have a Dream that Testers extend their horizon and toolsets and not only test for functional correctness but make a step towards what developers need in order to fix critical issues. I am talking about architectural, scalability and performance metrics such as # of JS Files on a page, Page Size, # of SQL Statements, # of Log Messages Written.
If Testers start to capture this information as well and share it with their bug description I am sure it will both increase the value of testers as well as reduce the total time it takes to fix problems.
This presentation was given as part of a Dynatrace Lunch & Learn event. APM (=Application Performance Management) allows us to transform the way we develop, deploy and run software.
Here are some ideas how APM can be (r)evolutionized
Too many database queries, too much data loaded into memory, overloaded html pages, bad architectural decisions, ...
These are all reasons why Java Applications are slow. In this presentation - first given at Boston Java Meetup - shows 6 real life examples on why Java-based Applications failed - and you may even heard about this in the news.
All examples and the technical details were captured using Dynatrace which is available as a 30 Day Free Trial - http://bit.ly/dttrial - with an option to extend it for another 180 Days in case you share some of your results with us
Web and App Performance: Top Problems to avoid to keep you out of the NewsAndreas Grabner
As presented at Boston and NYC Web Perf Meetup.
Its time to level up Web Performance Optimization started by Steve Souders. We need to look beyond the rim of the browser as there are many problems happenig from browser to database.
In this presentation I showed how Browser Diagnostics needs to evolve into End-to-End Application Diagnostics and Monitoring. Showing 5 real life examples on why applications failed and the metrics to look at to identify these problems early on
How to keep you out of the News: Web and End-to-End Performance TipsAndreas Grabner
Too many websites make it too the news when they fail to deliver, e.g: eCommerce when they go down on Cyber Monday, Tax Software on Tax Day or Online Banking when people want to check on their latest pay check.
In this presentation - presented at several Web Performance, Java, .NET, ... Meetups I walk through the most common performance mistakes people made in recent history. I explain in technical detail what the problem was and how to find these problems earlier as you dont want to wait until your site crashes and you end up in the news.
BTD2015 - Your Place In DevTOps is Finding Solutions - Not Just Bugs!Andreas Grabner
This is about leveling-up and REVOLUTIONIZING Testing as part of your Agile/DevOps Transformation.
You can contribute more than testing functionality. You need to Level-Up your skill set by understanding the apps you are testing. # Images, # JS Files, # SQL Statements, Connection Pool Utilization and Garbage Collection Activity have to be added to your portfolio.
Check these metrics when you do your functional testing and report regressions to your engineers even though the functionality is still good. But you just uncovered an Architectural regression that will lead to a scalabilty and performance problem.
Finding these problems early will eliminate a lot of wasted and unplanned time later on in the lifecycle. that is your contribution to delivering software faster with better quality
Hugs instead of Bugs: Dreaming of Quality Tools for Devs and TestersAndreas Grabner
I have a Dream that Testers extend their horizon and toolsets and not only test for functional correctness but make a step towards what developers need in order to fix critical issues. I am talking about architectural, scalability and performance metrics such as # of JS Files on a page, Page Size, # of SQL Statements, # of Log Messages Written.
If Testers start to capture this information as well and share it with their bug description I am sure it will both increase the value of testers as well as reduce the total time it takes to fix problems.
This presentation was given as part of a Dynatrace Lunch & Learn event. APM (=Application Performance Management) allows us to transform the way we develop, deploy and run software.
Here are some ideas how APM can be (r)evolutionized
Four Practices to Fix Your Top .NET Performance ProblemsAndreas Grabner
Inefficient Database Access, Inefficien Pool usage and Sizing, Bad Synchronization, Bad Web Page Design - these are the problems that crash .NET Apps. Learn how to analyze them and fix these problems
Automate Application Quality Detection. Use Key Application Quality Metrics (# of SQL, Memory Allocated, CPU & GC Times, ...) captured during Automated Test Executions.
Let these Metrics act as Quality Gates. Leads to better quality software reaching the end of the Pipeline
Docker/DevOps Meetup: Metrics-Driven Continuous Performance and ScalabiltyAndreas Grabner
This is the presentation given for the Docker Meetup in Cordoba, Argentina. Recording should soon be up on http://www.meetup.com/Docker-Cordoba-ARG/events/226995018/
Key Takeaways: Pick your Metrics! Automate It! Fail Bad Builds Faster! Deliver Faster with Better Quality!
To the Docker Audience my main point was that: Just adding Docker doesn't give you free performance and scalability of your app. I walk through many examples of failing apps. What are the metrics that highlight the problem and how to automatically detect bad builds by looking at these Metrics along your Pipeline.
Mobile User Experience:Auto Drive through Performance MetricsAndreas Grabner
Believe it or not - 85% of mobile apps are removed after first usage! In this presentation - given at the APM Meetup in Singapore in April 2015 - I talked about the challenges, best practices and especially metrics to avoid this situation.
Key Points of the Presentation
The two key trends "Internet of Things" and "DevOps" play a big role in our life when we talk about User Experience and especially mobile user experience. In this presentation I tell you what metrics to use to make sure you deliver your ideas faster to your mobile end users but also ensuring the right quality and user experience so that your users stay loyal and dont delete the mobile app after first usage.
From Zero to Performance Hero in Minutes - Agile Testing Days 2014 PotsdamAndreas Grabner
As a Tester you need to level up. You can do more than functional verification or reporting Response Time
In my Performance Clinic Workshops I show you real life exampls on why Applications fail and what you can do to find these problems when you are testing these applications.
I am using Free Tools for all of these excercises - especially Dynatrace which gives full End-to-End Visibility (Browser to Database). You can test and download Dynatrace for Free @ http://bit.ly/atd2014challenge
Top Java Performance Problems and Metrics To Check in Your PipelineAndreas Grabner
Why is Performance Important? What are the most common reasons applications dont scale and perform well. Which technical metrics to look at. How to check it automated in the pipeline
Deploy Faster Without Failing Faster - Metrics-Driven - Dynatrace User Groups...Andreas Grabner
Do it like the "DevOps Unicorns" Etsy, Facebook and Co: Deploy more frequently. But how and why? Challenges?
Deploying Software Faster without Failing Faster is possible through Metrics driven Engineering. Identify problems early on using a "Shift-Left in Quality". This requires a Level-Up of Dev, Test, Ops, Biz
See some of the metrics that I think you need to look at and how to upgrade your engineering team to produce better quality right from the start
OOP 2016 - Building Software That Eats The WorldAndreas Grabner
According to VC and web pioneer Marc Andreessen software is eating the world. Evidence proves he is right. Uber, the biggest taxi company, has no cars, AirBnB, the biggest hotel service, has no rooms and there are many more examples. Looking at these success stories there is a clear blueprint how to build software that eats the world. Just a quick heads up: It is not about building your typical web application any more.
I gave this presentation at the Sydney Continuous Delivery Meetup Group. The main goal was to talk about Performance Metrics that you should monitor along the pipeline. I examples in 4 different areas where deployments failed and how metrics would have helped preventing these problems
Boston DevOps Days 2016: Implementing Metrics Driven DevOps - Why and HowAndreas Grabner
How can we detect a bad deployment before it hits production? By automatically looking at the right architectural metrics in your CI/CD and stop a build before its too late. Lets hook up your test automation with app metrics and use them as quality gates to stop bad builds early!
DevOps Pipelines and Metrics Driven Feedback LoopsAndreas Grabner
The goal behind devops is Faster Lead Times
What this really means for Software Delivery -> my Kodak/Smart Phone Analogy
How and Which Metrics to use along the Delivery Pipeline to make better decisions along the way.
These are the slides used in my #devone (www.devone.at) keynote presentation:
DevOps is one of the most abused and overrated marketing terms in the last years! That’s not an alternative fact! It’s just Andi’s opinion! Yet - it is a very real thing that allowed many software companies to transform the way they think about software engineering. DevOps can mean something totally different thought depending on who you are and what type of business your company is doing. To clarify things, Andi gives us insights on how he explains the benefits to “DevOps Newbies” and how software companies around the world implement it in their own ways. Andi will answer: What does it really mean for developers, testers and operators? What will change? How does Facebook deploy twice a day without big issues? How does DevOps work in financial, government or healthcare where you have tight regulations? Does it mean Devs are responsible for Ops? Does it only work in the cloud? Or can we apply it to “old fashioned” on premise software as well? Learn for yourself and make up your own mind on whether DevOps is just a marketing term or something that can benefit you!
Metrics Driven DevOps - Automate Scalability and Performance Into your PipelineAndreas Grabner
Continuous Delivery only works if you combine automation with automatic metrics driven quality gates focusing on architectural, scalabilty and performance metrics.
In this presentation I start with several dashboard examples explaining key metrics in production and explain how to automate these metrics into your delivery pipeline.
Metrics-Driven Devops: Delivering High Quality Software Faster! Dynatrace
Becoming the next Uber is only possible if you can deliver your code updates faster to your end users. But for your organization, does delivering code faster present a higher likelihood of failing faster?
Discover four metrics you should be tracking starting from your workstation all the way through CI and into Ops.
Learn how companies like Facebook, CreditOne, and others apply metric-driven DevOps.
See use cases of crashed rapid deployments and how they used the metrics to detect the root cause.
Learn how to apply these metrics to steer your pipeline to build better code and deploy faster, without failing faster!
Release Readiness Validation with Keptn for Austrian Online Banking SoftwareAndreas Grabner
Marco and Andreas work at Raiffeisen Software who provides banking software for many Austrian financial institutions. In this session they show us how Keptn is used to automate the validation of key SLOs as part of their release process.
JavaOne - Performance Focused DevOps to Improve Cont DeliveryAndreas Grabner
These are the slides of my JavaOne presentation. The abstract goes like this:
How do companies developing business-critical Java enterprise Web applications increase releases from 40 to 300 per year and still remain confident about a spike of 1,800 percent in traffic during key events such as Super Bowl Sunday or Cyber Monday? It takes a fundamental change in culture. Although DevOps is often seen as a mechanism for taming the chaos, adopting an agile methodology across all teams is only the first step. This session explores best practices for continuous delivery with higher quality for improving collaboration between teams by consolidating tools and for reducing overhead to fix issues. It shows how to build a performance-focused culture with tools such as Hudson, Jenkins, Chef, Puppet, Selenium, and Compuware APM/dynaTrace
StarWest 2013 Performance is not an afterthought – make it a part of your Agi...Andreas Grabner
This presentation was given at StarWest 2013 in Anaheim, CA and also broadcasted through the Virtual Conference.
It shows how important it is to focus on performance throughout continuous delivery in order to avoid the most common performance problem patterns that still cause applications to crash and engineers spending their weekends and nights in a firefighting/war room situation
Continuously Integrating Distributed Code at NetflixAtlassian
Three years ago Netflix migrated all of its source code to Git for version control. This change furthered the independence of our engineering teams enabling them to manage, build, test and deploy with little friction. But the more distributed our source code becomes, the harder it can be to assess the impact of a change or understand the state of the world. Making a simple change to a shared library could have impact to dozens of critical services so the more feedback engineers can gain, the better. But how do you run an expensive operation against every single git repository within your organization?
In this talk, Mike McGarr (Engineering Manager, Developer Productivity) and Ed Bukoski (Senior Software Engineer, Developer Productivity) will share the story of Niagara, a service built to test code changes across all potentially impacted Git repositories at Netflix. We will also share our approach to scaling up Atlassian Bitbucket to handle Niagara’s significant demands.
Presentation that explains the main concepts used with dynaTrace.
dynaTrace is a tool to perform browser performance analysis (for JS, images, CSS, network, caching, ..etc)
Four Practices to Fix Your Top .NET Performance ProblemsAndreas Grabner
Inefficient Database Access, Inefficien Pool usage and Sizing, Bad Synchronization, Bad Web Page Design - these are the problems that crash .NET Apps. Learn how to analyze them and fix these problems
Automate Application Quality Detection. Use Key Application Quality Metrics (# of SQL, Memory Allocated, CPU & GC Times, ...) captured during Automated Test Executions.
Let these Metrics act as Quality Gates. Leads to better quality software reaching the end of the Pipeline
Docker/DevOps Meetup: Metrics-Driven Continuous Performance and ScalabiltyAndreas Grabner
This is the presentation given for the Docker Meetup in Cordoba, Argentina. Recording should soon be up on http://www.meetup.com/Docker-Cordoba-ARG/events/226995018/
Key Takeaways: Pick your Metrics! Automate It! Fail Bad Builds Faster! Deliver Faster with Better Quality!
To the Docker Audience my main point was that: Just adding Docker doesn't give you free performance and scalability of your app. I walk through many examples of failing apps. What are the metrics that highlight the problem and how to automatically detect bad builds by looking at these Metrics along your Pipeline.
Mobile User Experience:Auto Drive through Performance MetricsAndreas Grabner
Believe it or not - 85% of mobile apps are removed after first usage! In this presentation - given at the APM Meetup in Singapore in April 2015 - I talked about the challenges, best practices and especially metrics to avoid this situation.
Key Points of the Presentation
The two key trends "Internet of Things" and "DevOps" play a big role in our life when we talk about User Experience and especially mobile user experience. In this presentation I tell you what metrics to use to make sure you deliver your ideas faster to your mobile end users but also ensuring the right quality and user experience so that your users stay loyal and dont delete the mobile app after first usage.
From Zero to Performance Hero in Minutes - Agile Testing Days 2014 PotsdamAndreas Grabner
As a Tester you need to level up. You can do more than functional verification or reporting Response Time
In my Performance Clinic Workshops I show you real life exampls on why Applications fail and what you can do to find these problems when you are testing these applications.
I am using Free Tools for all of these excercises - especially Dynatrace which gives full End-to-End Visibility (Browser to Database). You can test and download Dynatrace for Free @ http://bit.ly/atd2014challenge
Top Java Performance Problems and Metrics To Check in Your PipelineAndreas Grabner
Why is Performance Important? What are the most common reasons applications dont scale and perform well. Which technical metrics to look at. How to check it automated in the pipeline
Deploy Faster Without Failing Faster - Metrics-Driven - Dynatrace User Groups...Andreas Grabner
Do it like the "DevOps Unicorns" Etsy, Facebook and Co: Deploy more frequently. But how and why? Challenges?
Deploying Software Faster without Failing Faster is possible through Metrics driven Engineering. Identify problems early on using a "Shift-Left in Quality". This requires a Level-Up of Dev, Test, Ops, Biz
See some of the metrics that I think you need to look at and how to upgrade your engineering team to produce better quality right from the start
OOP 2016 - Building Software That Eats The WorldAndreas Grabner
According to VC and web pioneer Marc Andreessen software is eating the world. Evidence proves he is right. Uber, the biggest taxi company, has no cars, AirBnB, the biggest hotel service, has no rooms and there are many more examples. Looking at these success stories there is a clear blueprint how to build software that eats the world. Just a quick heads up: It is not about building your typical web application any more.
I gave this presentation at the Sydney Continuous Delivery Meetup Group. The main goal was to talk about Performance Metrics that you should monitor along the pipeline. I examples in 4 different areas where deployments failed and how metrics would have helped preventing these problems
Boston DevOps Days 2016: Implementing Metrics Driven DevOps - Why and HowAndreas Grabner
How can we detect a bad deployment before it hits production? By automatically looking at the right architectural metrics in your CI/CD and stop a build before its too late. Lets hook up your test automation with app metrics and use them as quality gates to stop bad builds early!
DevOps Pipelines and Metrics Driven Feedback LoopsAndreas Grabner
The goal behind devops is Faster Lead Times
What this really means for Software Delivery -> my Kodak/Smart Phone Analogy
How and Which Metrics to use along the Delivery Pipeline to make better decisions along the way.
These are the slides used in my #devone (www.devone.at) keynote presentation:
DevOps is one of the most abused and overrated marketing terms in the last years! That’s not an alternative fact! It’s just Andi’s opinion! Yet - it is a very real thing that allowed many software companies to transform the way they think about software engineering. DevOps can mean something totally different thought depending on who you are and what type of business your company is doing. To clarify things, Andi gives us insights on how he explains the benefits to “DevOps Newbies” and how software companies around the world implement it in their own ways. Andi will answer: What does it really mean for developers, testers and operators? What will change? How does Facebook deploy twice a day without big issues? How does DevOps work in financial, government or healthcare where you have tight regulations? Does it mean Devs are responsible for Ops? Does it only work in the cloud? Or can we apply it to “old fashioned” on premise software as well? Learn for yourself and make up your own mind on whether DevOps is just a marketing term or something that can benefit you!
Metrics Driven DevOps - Automate Scalability and Performance Into your PipelineAndreas Grabner
Continuous Delivery only works if you combine automation with automatic metrics driven quality gates focusing on architectural, scalabilty and performance metrics.
In this presentation I start with several dashboard examples explaining key metrics in production and explain how to automate these metrics into your delivery pipeline.
Metrics-Driven Devops: Delivering High Quality Software Faster! Dynatrace
Becoming the next Uber is only possible if you can deliver your code updates faster to your end users. But for your organization, does delivering code faster present a higher likelihood of failing faster?
Discover four metrics you should be tracking starting from your workstation all the way through CI and into Ops.
Learn how companies like Facebook, CreditOne, and others apply metric-driven DevOps.
See use cases of crashed rapid deployments and how they used the metrics to detect the root cause.
Learn how to apply these metrics to steer your pipeline to build better code and deploy faster, without failing faster!
Release Readiness Validation with Keptn for Austrian Online Banking SoftwareAndreas Grabner
Marco and Andreas work at Raiffeisen Software who provides banking software for many Austrian financial institutions. In this session they show us how Keptn is used to automate the validation of key SLOs as part of their release process.
JavaOne - Performance Focused DevOps to Improve Cont DeliveryAndreas Grabner
These are the slides of my JavaOne presentation. The abstract goes like this:
How do companies developing business-critical Java enterprise Web applications increase releases from 40 to 300 per year and still remain confident about a spike of 1,800 percent in traffic during key events such as Super Bowl Sunday or Cyber Monday? It takes a fundamental change in culture. Although DevOps is often seen as a mechanism for taming the chaos, adopting an agile methodology across all teams is only the first step. This session explores best practices for continuous delivery with higher quality for improving collaboration between teams by consolidating tools and for reducing overhead to fix issues. It shows how to build a performance-focused culture with tools such as Hudson, Jenkins, Chef, Puppet, Selenium, and Compuware APM/dynaTrace
StarWest 2013 Performance is not an afterthought – make it a part of your Agi...Andreas Grabner
This presentation was given at StarWest 2013 in Anaheim, CA and also broadcasted through the Virtual Conference.
It shows how important it is to focus on performance throughout continuous delivery in order to avoid the most common performance problem patterns that still cause applications to crash and engineers spending their weekends and nights in a firefighting/war room situation
Continuously Integrating Distributed Code at NetflixAtlassian
Three years ago Netflix migrated all of its source code to Git for version control. This change furthered the independence of our engineering teams enabling them to manage, build, test and deploy with little friction. But the more distributed our source code becomes, the harder it can be to assess the impact of a change or understand the state of the world. Making a simple change to a shared library could have impact to dozens of critical services so the more feedback engineers can gain, the better. But how do you run an expensive operation against every single git repository within your organization?
In this talk, Mike McGarr (Engineering Manager, Developer Productivity) and Ed Bukoski (Senior Software Engineer, Developer Productivity) will share the story of Niagara, a service built to test code changes across all potentially impacted Git repositories at Netflix. We will also share our approach to scaling up Atlassian Bitbucket to handle Niagara’s significant demands.
Presentation that explains the main concepts used with dynaTrace.
dynaTrace is a tool to perform browser performance analysis (for JS, images, CSS, network, caching, ..etc)
Over 15,228,576 live websites built on Wordpress according to builtwith.com and having 47.19% shares in CMS websites wordpress is most popular web-cms to built a websites. Here Brainvire shows you some top websites using wordpress CMS.
Get your feature rich Wordpress website here : http://www.brainvire.com/wordpress-development-services/
AWS and Dynatrace: Moving your Cloud Strategy to the Next LevelDynatrace
AWS and Dynatrace: Moving your Cloud Strategy to the Next Level
On-Demand Webcast
AWS re:Invent was an exciting time for Dynatrace and we received a lot of “Wows” on our capabilities. We got to demonstrate the only AI-based, full-stack monitoring solution to thousands of AWS prospects and users. We announced our AWS Certified DevOps Competency partnership, and we introduced DAVIS, our natural-language voice interface, to thousands of attendees.
We know that many of you couldn’t attend the event in Las Vegas, so we wanted to share some of the key highlights from the show. And for those of you who were there, you may not have seen all of the benefits Dynatrace provides in the AWS ecosystem due to time constraints of sessions and the large tradeshow floor.
Listen to this 30 Minute webcast where Alois Reitbauer and Franz Karlsberger recap some of the highlights of the event, including:
How Dynatrace, as an AWS certified Migration Competency partner, uniquely supports enterprise migrations to AWS
How to achieve faster feedback and improved lead times with AWS CodePipeline and Dynatrace
An overview of the first ever VoiceOps and ChatOps interface via DAVIS, based on our AI approach to full-stack monitoring
Accelerate User Driven Innovation [Webinar]Dynatrace
https://info.dynatrace.com/apm_dtm_ops_17q4_wc_accelerate_user_driven_innovation_en_registration.html
Accelerate User Driven Innovation [Webinar]
DevOps adopters are more agile, more reliable and more successful but, only 2% of companies worldwide have adopted DevOps best practices.
We know it’s more difficult for enterprises companies with legacy systems and processes to get started but it isn’t impossible.
To help you accelerate your own DevOps journey & realise some of the benefits, we’re thrilled to be hosting international DevOps experts Andreas Grabner, Mark Tomlinson and James Pulley.
With combined experience across hundreds of DevOps deployments they have some remarkable use cases to share including Verizon, and even our own story of transforming from on premise six month waterfall deployment to a cloud native one hour continuous delivery model.
Don’t miss these amazing insights. Register today!
Using dynaTrace to optimise application performanceRichard Bishop
I delivered this presentation as a webcast for Compuware in July 2012. The presentation describes my use of dynaTrace in the last 12 months or so to investigate applicaiton performance and suggest performance improvements for one of Intechnica's clients.
You can register to view the webcast recording (including the audio feed) at this URL.
http://offers.compuware.com/register?cid=70170000000h8W6
As the 2016 shopping season comes to a close, take time to re-group and ramp up for 2017. We will share key industry observations on digital experience performance, technology trends and top retailers' best practices. Join a panel of experts from Neiman Marcus, IBM and Dynatrace for a discussion about:
2016 holiday technology trends – what are the new requirements to best serve digital customers?
Leading retailers like Neiman Marcus and what made their performance great.
How to assess your holiday performance and prepare for the year ahead.
Start the New Year right by looking back at 2016 and getting ready for your next big sales event of 2017.
Continuous Performance Testing and Monitoring in Agile DevelopmentDynatrace
Continuous Performance Testing and Monitoring in Agile Development
Continuous Performance testing and monitoring is the best way to ensure application performance with quicker development cycles. Balancing agile and DevOps velocity with the need for ongoing performance testing and monitoring is essential. We call it Continuous Performance Validation.
In this webinar, we will show how you can get performance guidance and metrics throughout development, making sure apps perform well from inception to production and beyond.
In this webinar you will learn:
• How to automate performance testing and which tools you need to be successful
• How to use APM during load and performance testing
• How to create a continuous performance validation strategy from Dev to QA and Ops
• Ways teams can collaborate to ensure top application performance
DOC ini dibuat oleh Riksa Rizki Zetta Adeli dan tim.
Di dalamnya, terdapat hasil dan pembahasan survey perkembangan smartphone di Jember. Semoga dapat bermanfaat.
http://facebook.com/rrza28
http://twiter.com/risarizi
http://noonecanfly.blogspot.com
Did you know that just a handful of root causes cause the majority of application issues like crashes, slow performance or incorrect application behavior? Non-optimized database access, deployment mistakes, memory leaks, or inefficient coding are just some examples. Companies that think Continuous Delivery and DevOps will solve all their problems typically fail as they just run into these problems faster. In this session we take a closer look at the most common problems, how to detect them and how to incorporate performance into your DevOps culture by automatically detecting these top problems.
The promise of DevOps is that we can push new ideas out to market faster while avoiding delivering serious defects into production. Andreas Grabner explains that testers are no longer measured by the number of defect reports they enter, nor are developers measured by the lines of code they write. As a team, you are measured by how fast you can deploy high quality functionality to the end user. Achieving this goal requires testers to increase their skills. It’s all about finding solutions—not just problems. Testers must transition from reporting “app crashes” to providing details such as “memory leak caused by bad cache implementation.” Instead of reporting “it’s slow,” testers must discover “wrong hibernate configuration causes too much traffic from the database.” Using three real-life examples, Andreas illustrates what it takes for testing teams to become part of the DevOps transformation—bringing more value to the entire organization.
Expecto Performa! The Magic and Reality of Performance TuningAtlassian
In the enterprise there are rarely simple solutions to highly nuanced problems that satisfy all needs. Several customers might each ask "How do I make Jira/Confluence faster?" and each require a different answer. Using this example, this talk will pick apart the inputs, outputs, concerns, and realities of answering a short question with a long answer. We'll then discuss real-world examples from our own internal instances, to give you a taste of the process we've gone through to solve our own performance problems, and to show why there is no simple playbook; "it depends" on a lot! The key takeaways are:
* The importance of having a shared definition of performance
* The importance of having agreed-upon priorities, including what isn't important
* The importance of measuring (allthethings) and understanding them
* The thing you think is the problem might not be the problem, and vice versa.
* The real world and the ideal world tend to look nothing alike!
Streaming Trend Discovery: Real-Time Discovery in a Sea of Events with Scott ...Databricks
Time is the one thing we can never get in front of. It is rooted in everything, and “timeliness” is now more important than ever especially as we see businesses automate more and more of their processes. This presentation will scratch the surface of streaming discovery with a deeper dive into the telecommunications space where it is normal to receive billions of events a day from globally distributed sub-systems and where key decisions “must” be automated.
We’ll start out with a quick primer on telecommunications, an overview of the key components of our architecture, and make a case for the importance of “ringing”. We will then walk through a simplified solution for doing windowed histogram analysis and labeling of data in flight using Spark Structured Streaming and mapGroupsWithState. I will walk through some suggestions for scaling up to billions of events, managing memory when using the spark StateStore as well as how to avoid pitfalls with the serialized data stored there.
What you’ll learn:
1. How to use the new features of Spark 2.2.0 (mapGroupsWithState / StateStore)
2. How to bucket and analyze data in the streaming world
3. How to avoid common Serialization mistakes (eg. how to upgrade application code and retain stored state)
4. More about the telecommunications space than you’ll probably want to know!
5. Learn a new approach to building applications for enterprise and production.
Assumptions:
1. You know Scala – or want to know more about it.
2. You have deployed spark to production at your company or want to
3. You want to learn some neat tricks that may save you tons of time!
Take Aways:
1. Fully functioning spark app – with unit tests!
(R)Evolutionize APM - APM in Continuous Delivery and DevOpsMartin Etmajer
In his presentation, Martin questions the actuality of the software crisis of 1968 and answers the question why we can build bridges relibly but fail when it comes to building reliable software and what modern agile concepts such as Continuous Delivery and DevOps offer to the rescue. Finally, he sketches two use-cases on how an application monitoring solution like Dynatrace can help reduce costs and improve software quality along the Continuous Delivery build pipeline.
Stateful Stream Processing at In-Memory SpeedJamie Grier
This presentation describes results from a real-world system where I used Apache Flink's stateful stream processing capabilities to eliminate the key-value store bottleneck and the burden of the Lambda Architecture while also improving accuracy and gaining huge improvements in hardware efficiency!
Are you creative? Do you internet? Would you like to internet better? Do you wish that you knew how to get started building things for and on the internet?
I'd love to show you how to internet in a single afternoon, but that's impossible. So I'm going to give you a overview of the technologies used on the internet, how they're used, why they're valuable, and how they fit together.
I will teach you the "Magic Words™": what a Node is (and isn't), what belongs in Flask, where Sinatra fits in. I'll demo some of the technologies, and, most importantly, I'll tell you what you *don't* need to know.
This will provide enough of map that you'll be able to Stack Overflow your way to internet success!
Presented at the University of Denver, Emergent Digital Practices on February 17th, 2016
Website & Internet + Performance testingRoman Ananev
The presentation about how the site works on the Internet and what happens when you open it in your browser. What happens under the hood of the server and browser.
How to measure the performance of the CS-Cart project simply and without technical knowledge :) And of course, why all the online-performance-testing services lie, or dont provides a clear view ;)
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STP 2014 - Lets Learn from the Top Performance Mistakes in 2013Andreas Grabner
Presentation given at STPCon 2014. It highlights the top performance problems seen in 2013 and how we can identify these problems in dev & test instead of waiting until the app crashes in production
Similar to Top .NET, Java & Web Performance Mistakes - Meetup Jan 2015 (20)
KCD Munich - Cloud Native Platform Dilemma - Turning it into an OpportunityAndreas Grabner
This talk was given at KCD Munich - July 17 2023
Abstract
“Kubernetes is a platform for building platforms. It’s a better place to start: not the endgame”, tweeted by Kelsey Hightower in November 2017. 6 years later the Cloud Native Community is faced with 159 different CNCF projects to choose from. Entering CNCF can be overwhelming!
Cloud Native Platform Engineering with white papers, best practices and reference architectures are here to convert this dilemma into an opportunity. Internal Developer Platforms (IDP) are being built as we speak enabling organizations to harness the power of Kubernetes as a self-service platform.
Join this talk with Andreas Grabner, CNCF Ambassador, and get some insights on tooling, use cases and best practices so we can all fulfill the idea that Kelsey put out years ago.
OpenTelemetry For GitOps: Tracing Deployments from Git Commit to ProductionAndreas Grabner
GitOps, with tools like Argo and Flux, are preferred platform tools managing configuration in cloud native environments. But it is hard to troubleshoot a failed deployment of a complex application as there is no built-in deployment lifecycle observability, standardized hooks nor the concept of an application vs individual workloads.
The CNCF project Keptn addresses those challenges by extending the Kubernetes Pod scheduler to provide OpenTelemetry Traces and Prometheus metrics for end-2-end deployment observability. Keptn introduces automated application-aware pre- and post-deployment lifecycle hooks to enforce dependency checks, send notifications or evaluates SLOs that otherwise need a custom K8s operator.
Join this talk and learn how the Keptn Lifecycle Toolkit (KLT) Operator extends observability into GitOps deployments and how it enables declarative deployment lifecycle orchestration!
Don't Deploy Into the Dark: DORA Metrics for your K8s GitOps DeploymentsAndreas Grabner
This talk was given at Boston Cloud Native Meetup on Feb 9th 2023
DORA’s Four Key DevOps have gained much attention as they provide critical insights into an organization’s maturity in automating the delivery of high-quality software. Google provides a blueprint implementation which requires extending your existing delivery pipelines (Jenkins, Argo, Flux, GitHub, GitLab …) to push those metrics to an external database. While doable, many platform engineers we spoke to are seeking an alternative solution and more cloud-native approach.
The CNCF project Keptn saw this as an opportunity to provide a K8s- & Cloud-Native solution that provides 100% coverage, WITHOUT changing pipelines and using OpenTelemetry as standard collection framework.
Join this talk where Andi (Andreas) Grabner, DevRel at Keptn, will show you how you can use Keptn’s Lifecyle Toolkit to get your DORA metrics within 5 minutes. Andi also covers how the Lifecycle Toolkit brings application-awareness into your deployments and allows you to execute pre- and post-deployment checks as serverless functions – all declaratively as part of your existing K8s CRDs.
Observability and Orchestration of your GitOps Deployments with KeptnAndreas Grabner
GitOps has become the default way to manage configuration in cloud native environments with tools like Argo or Flux keeping Git and K8s in sync.
But GitOps lacks end-2-end traceability when GitOps operators make changes on the target environments. And as k8s lacks application awareness its hard to enforce pre- and post-deployment orchestration task such as sending notifications upon successful app delivery or validating all SLOs are healthy for a new version.
The CNCF project Keptn is addressing those challenges by automatically providing End-2-End Observability through OpenTelemetry as well as introducing an application deployment lifecycle events enabling pre- and post-deployment checks natively on k8s.
Keptn therefore extends your GitOps approach with the missing observability and orchestration needed for successful cloud native development.
Adding Security to your SLO-based Release Validation with KeptnAndreas Grabner
This talk was given at DevSecOps Days Boston and DevOps & Security Meetup Vienna in 2021
Automatic Release Validation, aka Quality Gates, is not a new concept but often only covers functional or performance metrics. Keptn’s open SLO-based evaluation allows DevSecOps to have their favorite security tool report SLOs such as number of detected vulnerabilities as part of delivery automation
This talk was given at the Online Kubernetes Meetup July 2020 as well as DevOps Fusion 2020. The talk discusses 3 major problems in current delivery and operations: too much time spent in delivery, hard to maintain monolithic delivery pipelines and a lack of auto-remediation of production problems
The talk focuses on new approaches to solve these problems inspired by SRE practices and event-driven architectures.
As an implementation for a new approach we use Keptn (www.keptn.sh) - a CNCF Open Source project.
Continuous Delivery and Automated Operations on k8s with keptnAndreas Grabner
Slidedeck from Vienna DevOps & Security Meetup. This talk is keptn - an open source event driven control plane for continuous delivery and automated operations for kubernetes
Keptn - Automated Operations & Continuous Delivery for k8sAndreas Grabner
Keptn is a new OpenSource Framework for Automated Operations & Continuous Delivery for cloud native applications running on k8s, OpenShift, CloudFoundry ...
This presentation was used at Meetups to explain WHY we build keptn and which problems it solves in which way!
Applying AI to Performance Engineering: Shift-Left, Shift-Right, Self-HealingAndreas Grabner
AI might be an overused marketing buzzword but the advances in fullstack monitoring and data analytics are clearly an advantage for the modern performance engineer.
In this presentation given at different events, e.g: CMG Image, Neotys PAC, ... I discuss how monitoring has evolved and how we can leverage AI to implement concepts such as Shift-Left, Shift-Right and Self-Healing
Monitoring as a Self-Service in Atlassian DevOps ToolchainAndreas Grabner
As devs, testers and ops we must deal with monitoring data when analyzing test results, debugging problems or reporting on usage. But why stepping out of our Atlassian Tool Comfort Zone to get this data? We found new use cases on how to fully integrate monitoring as a self-service into Jira, Hipchat, Bamboo, Bitbucket & Confluence. This saves time in learning yet another tool and gives you the data when and where you need it: in your most favorite Atlassian Tool. Key Use Cases we discuss: Continuous Performance Analysis in Jira, Shift-Left in Bamboo / Bitbucket, ChatOps in Hipchat.
DevOps Days Toronto: From 6 Months Waterfall to 1 hour Code DeploysAndreas Grabner
Slides used for https://www.devopsdays.org/events/2017-toronto/program/andreas-grabner/
In 2011 we delivered 2 major releases of our on premise enterprise software. Market, technology and customer requirements forced us to change that in order to remain competitive.
Now – in 2017 - we are deploying and providing feature releases every 2 weeks for both our on premise and SaaS-based offering. We deploy 170 SaaS production changes per day and have a DevOps pipeline that allows us to deploy a code change within 1h if necessary.
To increase quality, we built and provide a DevOps pipeline that currently executes 31000 Unit & Integration Tests per Hour as well as 60h UI Tests per Build. Our application teams are responsible end-to-end for their features and use production monitoring to validate their deployments which allows them to find 93% of bugs in production before it impacts our end users.
In this session I explain how this transformation worked from both “Top Down” as well as “Bottom Up” in our organization. A key component was the 4 people strong DevOps Team who developed and “sell” their DevOps Pipeline to the globally distributed application teams. I will give insights into how our pipeline enables application teams to design, code, test and run a new feature for our user base.
I will also talk about the “dark moments” as change is never without friction. Both internally as well as with our customers who also had to get used to more rapid changes.
AWS Summit - Trends in Advanced Monitoring for AWS environmentsAndreas Grabner
Why you have to rethink your monitoring strategy when moving or building apps for new stack cloud based environments:
#1: Why "the old way" of monitoring doesnt work any longer!
#2: How the Cloud and New Stack has transformed Dynatrace!
#3: How Dynatrace Redefined Monitoring for Cloud Applications
DevOps Transformation at Dynatrace and with DynatraceAndreas Grabner
Presentation given at CMG Boston - April 20th 2017
#1: How to explain DevOps Transformation?
#2: How Dynatrace transformed from 6months waterfall to 1h code deploy
#3: The role of Monitoring in DevOps / CI/CD
#4: Using Dynatrace for your DevOps Transformation
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
Graspan: A Big Data System for Big Code AnalysisAftab Hussain
We built a disk-based parallel graph system, Graspan, that uses a novel edge-pair centric computation model to compute dynamic transitive closures on very large program graphs.
We implement context-sensitive pointer/alias and dataflow analyses on Graspan. An evaluation of these analyses on large codebases such as Linux shows that their Graspan implementations scale to millions of lines of code and are much simpler than their original implementations.
These analyses were used to augment the existing checkers; these augmented checkers found 132 new NULL pointer bugs and 1308 unnecessary NULL tests in Linux 4.4.0-rc5, PostgreSQL 8.3.9, and Apache httpd 2.2.18.
- Accepted in ASPLOS ‘17, Xi’an, China.
- Featured in the tutorial, Systemized Program Analyses: A Big Data Perspective on Static Analysis Scalability, ASPLOS ‘17.
- Invited for presentation at SoCal PLS ‘16.
- Invited for poster presentation at PLDI SRC ‘16.
GraphSummit Paris - The art of the possible with Graph TechnologyNeo4j
Sudhir Hasbe, Chief Product Officer, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Globus Connect Server Deep Dive - GlobusWorld 2024Globus
We explore the Globus Connect Server (GCS) architecture and experiment with advanced configuration options and use cases. This content is targeted at system administrators who are familiar with GCS and currently operate—or are planning to operate—broader deployments at their institution.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
Software Engineering, Software Consulting, Tech Lead, Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Transaction, Spring MVC, OpenShift Cloud Platform, Kafka, REST, SOAP, LLD & HLD.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus
As part of the DOE Integrated Research Infrastructure (IRI) program, NERSC at Lawrence Berkeley National Lab and ALCF at Argonne National Lab are working closely with General Atomics on accelerating the computing requirements of the DIII-D experiment. As part of the work the team is investigating ways to speedup the time to solution for many different parts of the DIII-D workflow including how they run jobs on HPC systems. One of these routes is looking at Globus Compute as a way to replace the current method for managing tasks and we describe a brief proof of concept showing how Globus Compute could help to schedule jobs and be a tool to connect compute at different facilities.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
18. 18 @Dynatrace
Online Banking: Slow Balance Check
1.69s (=101s!) To
Check Balance!
87% spent in IIS 600! SQL Executions
19. 19 @Dynatrace
#1 Time really spent in IIS?
Tip: Elapsed Time tells us WHEN a
Method was executed!
Finding: Thread 32 in IIS waited 87s to
pass control to Thread 30 in ASP.NET
Tip: Thread# gives us insight on
Thread Queues / Switches
20. 20 @Dynatrace
#2 What about these SQL Executions?
Finding: EVERY SQL
statement is executed on
ITS OWN Connection!
Tip: Look at
“GetConnection”
21. 21 @Dynatrace
#2 SQL Executions! continued …
#1: Same SQL is executed 67! times
#2: NO PREPARATION
because everything
executed on new
Connection
27. 27 @Dynatrace
Using Hibernate results in 4k+ SQL Statements to
display 3 items!
Hibernate Executes
4k+ Statements
Individual Execution
VERY FAST
But Total SUM
takes 6s
28. 28 @Dynatrace
• Proper Sizing Specifications
• Understand the Frameworks you are using
Lessons Learned
32. 32 @Dynatrace
#1 Banking: Transaction History CSV Download!
Remember: High GC doesn’t
necessarily mean that this request
has a memory problem – BUT - …
Root Cause:
Heavy use of String.Concat to build the CSV output in Memory
Recommendations:
#1: Use System.Text.StringBuilder instead of String.Concat
#2: Write directly back to OutputStream
Problem: Takes 207s! To download.
87% of Time spent in Garbage
Collection
33. 33 @Dynatrace
#2 Store: Rendering Search Result
Problem: 4.4s to render
result page
Root Cause: Custom RegEx
Library with performance
issues on large strings
34. 34 @Dynatrace
#3 Store: Occasional Performance Spikes
Problem: Occasional Spikes!
Never seen in Development
38. 38 @Dynatrace
• CSV Export Example
• Don’t build large Strings in Memory with String.Concat
• Write to output stream and use StringBuilder
• Search Result Page
• Don’t implement custom RegEx Library – existing Tools are better
• Test with large results and not just small test data
• Geo Lookup
• Don’t trust your Hosting Provider
• E.g: Use GeoIP Databases for accurate reverse lookups
Lessons Learned – Use Better Tools / Libraries
42. 42 @Dynatrace
• Symptoms
• HTML takes between 60 and 120s to render
• High GC Time
• Assumptions
• Bad GC Tuning
• Probably bad Database Performance as rendering was simple
Project: Online Room Reservation System
43. 43 @Dynatrace
Developers built own monitoring
void roomreservationReport(int roomid)
{
long startTime = System.currentTimeMillis();
Object data = loadDataForRoom(roomid);
long dataLoadTime = System.currentTimeMillis() - startTime;
generateReport(data, roomid);
}
Result:
Avg. Data Load Time: 45s!
DB Tool says:
Avg. SQL Query: <1ms!
44. 44 @Dynatrace
#1: Loading too much data
24889! Calls to the
Database API!
High CPU and High
Memory Usage to keep all
data in Memory
45. 45 @Dynatrace
#2: On individual connections 12444!
individual
connections
Classical N+1
Query Problem
Individual SQL
really <1ms
46. 46 @Dynatrace
#3: Putting all data in temp Hashtable
Lots of time
spent in
Hashtable.get
Called from their
Entity Objects
47. 47 @Dynatrace
• Custom Measuring
• Was impacted by Garbage Collection
• Just measured overall time but not # SQL Executions
• Learn SQL and don’t use Hashtables as Workaround
Lesson Learned
void roomreservationReport(int roomid)
{
long startTime = System.currentTimeMillis();
Object data = loadDataForRoom(roomid);
long dataLoadTime = System.currentTimeMillis() - startTime;
generateReport(data, roomid);
}
61. 61 @Dynatrace
•# Images
•# Redirects
•Size of Resources
•# SQL Executions
•# of SAME SQLs
•# Items per Page
•# AJAX per Page
Look at these Metrics Before Checking In Code
•Time Spent in API
•# Calls into API
•# Functional Errors
•3rd Party calls
•# of Domains
•Total Size
•…
64. 64 @Dynatrace
Example from Web Diagnostics 282! Objects
on that page9.68MB Page Size
8.8s Page Load
Time
Most objects are images
delivered from your main
domain
Very long Connect time
(1.8s) to your CDN
65. 65 @Dynatrace
Example from Server-Side Diagnostics
526s to render that
report
1 SQL running
210s!
Lots of time spent
in logging to Log4J
Lots of time spent
in rendering
67. 67 @Dynatrace
Your Benefits
• Free Performance Review
• Extended Dynatrace License
“Share Your PurePath”
bit.ly/sharepurepath
My Benefits
• More blog material for next year
• Gratification that I could help you
More detailed stories can also be found on our blog: http://blog.dynatrace.com
All examples have been found using Dynatrace Free Trial – http://bit.ly/dttrial