Top Java Performance Problems and Metrics To Check in Your Pipeline

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

The document provides an overview of key performance sanity checks for SharePoint, including 7 steps to check SharePoint health, how to analyze SharePoint usage, and how to identify slow pages. It discusses checking end user health, site health, system health, IIS health, AppPool health, SQL and service health, and web parts. The document also covers avoiding common deployment mistakes and provides a real-life example of troubleshooting a slow page load for a frustrated user.

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.

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

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

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

6 Real Life Performance Problem Scenarios: Why They failed, How to Avoid it and the Metrics to spot these problems

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!

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.

Most common Frontend & Backend Performance Problems. Automatically find them in your CI by looking at the right Metrics.

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, ...

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!

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.

Running ASP.NET applications on IIS? Do you understand how requests are processed by every component involved: IIS Native, IIS Modules, and ASP.NET? Scaling any type of application requires you to understand the inner workings of IIS and ASP.NET so queues and pools don’t become a bottleneck in your end-to-end execution flow. Join us for this webcast that shows you how to identify performance and scalability hotspots under different load conditions. You'll learn: How communication flows between browser, IIS, ASP.NET and back-end services including database How to monitor and tweak IIS and ASP.NET queues and pools to achieve optimal performance How to troubleshoot performance hotspots in IIS, Native and Managed Modules and ASP.NET How to identify synchronization issues in multi-threaded applications You will leave with specific ideas of where to start optimizing your queues, pools, and code implementation.

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

3 Tips to Deliver Fast Performance Across Mobile Web On-Demand Webinar Seems like everyone’s doing Responsive Web Design these days! Are you using React, Angular or others to create a mobile-friendly web experience? Newsflash: Mobile-friendly doesn’t always equal customer-friendly, when it comes to performance. We’re talking about 60% of your traffic—how do you avoid disaster? Learn the basics of high-performance mobile development through the examination of real-world, performance-killing code examples. You’ll also hear about: Why 4.5 seconds on Chrome can be 15 seconds on a Galaxy S5 Chromium How to identify major issues within mobile page construction Best practices for managing CSS and JavaScript Things to consider going global with your Web application Join web performance experts Klaus Enzenhofer and Stefan Baumgartner from Dynatrace to ensure your mobile properties are delighting your customers!

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

The document discusses enabling continuous integration and delivery by having developers commit code changes often with version control, integrating changes automatically through an integration server. The server compiles, runs unit and acceptance tests on each change and notifies who broke integration if tests don't pass. Successful changes are delivered and reported. This allows organizations to work together, reduces build times from 8 hours to 10 minutes, and provides the capability to deliver changes now. It also shares lessons learned and how others can implement continuous integration themselves.

This document discusses DevOps concepts and examples. It describes DevOps as a culture and practice that emphasizes collaboration between software developers and IT operations. The document provides examples of infrastructure as code, building and packaging applications, and deployment. It discusses using tools like Azure Resource Manager, Docker, and VSTS Release Management to automate processes like continuous delivery.

This document summarizes Matt Tesauro's presentation "Taking AppSec to 11" given at Bsidess Austin 2016. The presentation discusses implementing application security (AppSec) pipelines to improve workflows and optimize critical resources like AppSec personnel. Key points include automating repetitive tasks, driving consistency, increasing visibility and metrics, and reducing friction between development and AppSec teams. An AppSec pipeline provides a reusable and consistent process for security activities to follow through intake, testing, and reporting stages. The goal is to optimize people's time spent on customization and analysis rather than setup and configuration.

Web performance is good, understanding performance is better. What you need to understand in order to be able to have IT systems that perform well at a reasonable cost.

This document summarizes Matt Tesauro's presentation on improving application security (AppSec) through the use of AppSec pipelines and DevOps strategies. The key points are: 1. AppSec pipelines are designed to optimize AppSec personnel by automating tasks and increasing consistency, tracking, flow and visibility of work. This allows AppSec teams to focus on custom work rather than setup. 2. Integrating AppSec tools and workflows into development pipelines can help drive up consistency, reduce friction with developers, and increase the number of assessments an AppSec team can complete without increasing headcount. 3. Continual experimentation and optimizing the critical resource - in this case AppSec personnel - is important for

Evolution to and overview of Specification By Example (SBE) and Acceptance Test Driven Development (ATDD)

Tech Mahindra and CollabNet have worked together on a number of mission-critical projects, and over the course of their partnership have developed unique expertise in lifecycle, development-to-production metrics. Gain an understanding not only of what metrics are important, but also practical approaches to building reports and dashboards that deliver a single-pane view of all your delivery pipelines across the enterprise. Participants will learn: KPI’s of end-to-end dashboard driven development and delivery Best practices for metrics in Agile / DevOps environments Role of technology frameworks for integrated planning and reporting

This presentation shows some practices of good Software Architects and what Software Architecture actually means.

In this session, we provide programmatic guidance on building tools and applications to detect and manage fraud and unusual activity specific to financial services institutions. Payment fraud is an ongoing concern for merchants and credit card issuers alike and these activities impact all industries, but are specifically detrimental to Financial Services. We provide a step-by-step walkthrough of a reference solution to detect and address credit card fraud in real time by using Apache Apex and Amazon Machine Learning capabilities. We also outline different resource and performance optimization options and how to work data security into the fraud detection workflow.

This document summarizes initiatives that are improving healthcare access and outcomes. It discusses increasing healthcare access through mobile clinics, telemedicine, and nurse training programs. It also covers improving maternal and child health by focusing on safe deliveries, obstetric care, and preventing mother-to-child transmission of HIV. The document advocates that basic training can expand basic healthcare provision and addresses scarcity of resources through clinical officer programs in places like Southern Sudan.

This document provides definitions and summaries of important people, places, events, and concepts from European and American history between 1500-1800. It covers topics related to art and architecture in Renaissance and Baroque Europe, the absolutist monarchy in France under Louis XIV at Versailles, Enlightenment philosophy, and the American and French Revolutions. Key figures and events mentioned include Ignatius Loyola, El Greco, Versailles, Jean-Jacques Rousseau, the Boston Tea Party, the storming of the Bastille, and Napoleon Bonaparte's rise to power.

This short document discusses creativity and taking risks. It cautions against going somewhere that seems risky or uncertain at first. It then asks who considers themselves creative and hints that being open-minded may help one see opportunities that were not obvious before.

The harp seal population is facing extinction due to threats to its habitat at the North Pole from global warming and due to being killed. Its habitat is threatened by climate change and it is also under threat from being hunted, so actions must be taken to stop global warming and seal hunting to save the harp seal from extinction.

The Magna Carta was signed in 1215 and challenged King John's absolute authority by establishing limitations on royal power and protections for barons, the church, and common people. It gave people the right to due process and trial by jury, made the church independent from royal interference, and ensured basic rights and laws that strengthened democracy. Many principles of the Magna Carta were incorporated into modern constitutions as it set an important precedent for individual liberties.

This document outlines the syllabus for a Mythology in Art & Literature course. The course will examine world mythology through various methods and consider how mythological ideas are applied in the humanities. Students will analyze how mythology is used by different cultures to explain the world, interpret cultures through their myths, and articulate connections between ancient and modern mythology. The course involves lectures, films, exams, a research project, and cultural event attendance. Students will be evaluated based on participation, assignments, quizzes, exams, a research project, and event attendance. The syllabus provides policies on attendance, late work, academic honesty, and guidelines for written work.

Andreas Grabner maintains that most performance and scalability problems don’t need a large or long running performance test or the expertise of a performance engineering guru. Don’t let anybody tell you that performance is too hard to practice because it actually is not. You can take the initiative and find these often serious defects. Andreas analyzed and spotted the performance and scalability issues in more than 200 applications last year. He shares his performance testing approaches and explores the top problem patterns that you can learn to spot in your apps. By looking at key metrics found in log files and performance monitoring data, you will learn to identify most problems with a single functional test and a simple five-user load test. The problem patterns Andreas explains are applicable to any type of technology and platform. Try out your new skills in your current testing project and take the first step toward becoming a performance diagnostic hero.

Avoiding software fails. Few metrics to improve application reliability by Sławomir Michalik. Presentation reviewed 4 distribution.

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.

To watch, please see: https://info.dynatrace.com/apm_wc_getting_started_with_devops_na_registration.html Starting Your DevOps Journey: Practical Tips for Ops In this webinar, Andreas Grabner, Chief DevOps Activist at Dynatrace, shares practical tips that all IT groups from Dev to Ops can use to start their DevOps journey quickly. With experience from hundreds of DevOps deployments, Andi provides insights it would take your team months or years to learn firsthand. - Learn how everyone on your Ops team can use APM to better understand and monitor SLAs, Performance and End User Impact of their applications. - Foster better collaboration between Ops and architects by extending basic system monitoring to monolith and microservices architectures. - Shift-left your testing and QA by working with metrics that you and the architects agreed on up front, resulting in early relevant feedback and faster code deployments. - Hear why changing the cultural mindset from “fear of change” to “Continuous Innovation and Optimization” is critical for success. Andi is joined by guest speaker, Brian Chandler, Systems Engineer at Raymond James, who shares commonly used Ops dashboards that increase collaboration across IT teams and pro-actively break down silos!

Session Recording on Youtube https://www.youtube.com/watch?v=uWPZQ_HMy10 - Session Description Do you find yourself bombarded with buzzwords and overwhelmed by the rapid emergence of new technologies? "Stream Processing" is a tech buzzword that has been around for some time but is still unfamiliar to many. Join this session to discover its potential in software systems. I will share insights from Apache Flink, Apache Beam, Google Dataflow, and my experiences at Bol.com (the biggest e-commerce platform in the Netherlands) as we cover: - Stream Processing overview: main concepts and features - Apache Beam vs. Spring Boot comparison - Key Considerations for Using Stream Processing - Learning strategies to navigate this evolving landscape.

This document discusses performance-oriented design and what metrics should be measured. It emphasizes that performance is important and organizations should care about it. Key metrics that should be measured include arrival rate, service time, throughput, queues, method counts, response times, and other application and system-level metrics. References for further reading on performance engineering and capacity planning are also provided.

1) Performance issues often stem from architectural decisions, disconnected teams, flawed implementations, pushing changes without proper planning, blindly reusing components, and lack of agile deployment practices. 2) Common metrics that help identify performance problems include number of requests/user, log messages, exceptions, objects allocated/in cache and cache hit ratio, images, SQL statements, SQLs per request, HTTP status codes, and page size. 3) Tracking key performance indicators and metrics across automated unit and performance tests can help identify regressions and keep performance/architecture in check.

Becoming the next Uber is only possible when bringing your ideas faster to your end users. Some aspects of DevOps are perfect for that as it only works if Ops and Dev work closely together. But what does this mean for you as a developers? Delivering code faster with the high chance of failing faster? In my opinion we need to look at Key Technical Metrics such as Memory Usage per User or Request, # of SQLs, # of Service Calls, Transferred Bytes, ... - these are metrics you need to track starting at your workstation all the way through CI into Ops – and don’t forget the Business: How often is the new feature really used? What does it cost to run it? Let these metrics act as Quality Gateways and stop builds early before they Crash your System: faster than ever. In this session we look at how companies like Facebook, CreditOne and Co apply metric-driven DevOps. We look at use cases that crashed rapid deployments, identify metrics that identify the reason of the crash and learn how to use these metrics to steer your pipeline to build better code, deploy faster, without failing faster!

Application Performance doesn't come easy. How to find the root cause of performance issues in modern and complex applications? All you have is a complaining user to start with? In this presentation (mainly in German, but understandable for english speakers) I'd reprised the fundamentals of trouble shooting and have some new examples on how to tackle issues. Follow up presentation to "Performance Trouble Shooting 101 - Schweine, Schlangen und Papierschnitte"

Twitter's operations team manages software performance, availability, capacity planning, and configuration management for Twitter. They use metrics, logs, and analysis to find weak points and take corrective action. Some techniques include caching everything possible, moving operations to asynchronous daemons, and optimizing databases to reduce replication delay and locks. The team also created several open source projects like CacheMoney for caching and Kestrel for asynchronous messaging.

Fixing Twitter and Finding your own Fail Whale document discusses Twitter operations. The operations team manages software performance, availability, capacity planning, and configuration management using metrics, logs, and data-driven analysis to find weak points and take corrective action. They use managed services for infrastructure to focus on computer science problems. The document outlines Twitter's rapid growth and challenges in maintaining performance as traffic increases. It provides recommendations around caching, databases, asynchronous processing, and other techniques Twitter uses to optimize performance under heavy load.

Fixing Twitter and Finding your own Fail Whale document discusses Twitter operations. The Twitter operations team focuses on software performance, availability, capacity planning, and configuration management using metrics, logs, and science. They use a dedicated managed services team and run their own servers instead of cloud services. The document outlines Twitter's rapid growth and challenges in maintaining performance. It discusses strategies for monitoring, analyzing metrics to find weak points, deploying changes, and improving processes through configuration management and peer reviews.

Twitter's operations team manages software performance, availability, capacity planning, and configuration management. They use metrics, logs, and analysis to find weak points and take corrective action. Some techniques include caching everything possible, moving operations to asynchronous daemons, optimizing databases, and instrumenting all systems. Their goal is to process requests asynchronously when possible and avoid overloading relational databases.

Transcend Automation is the authorized business partners for Kepware Technologies in India. We Market, Promote, Integrate their products for customers in India

Customer experience is a top priority for Verizon, so they turned to DevOps best practices to address technical issues. The result was tremendous – 3x faster build times and a 50% drop in reported bugs – all within the first six months! This success evolved to an automated delivery pipeline approach that leveraged cloud and container technology, and teams were able to deploy new features faster, directly into production. With faster releases came vast technical complexity. Using Artificial Intelligence (AI)-powered monitoring, Verizon was able to transcend this problem, and today easily manages complex, web-scale DevOps in the cloud. • Learn the DevOps “shift-left” quality model Verizon embraced to find issues before they reached production. • Discover best practices that accelerated Verizon’s build and test cycle times by 3x in just six months. • Understand what AI-powered technology is, and how it can help you master the complexity of DevOps cloud environments. • Learn how Verizon uses DevOps and cloud monitoring as part of one integrated application delivery chain. You’ll gain best practices and insights you can use immediately!

This slideshare was presented by Bhanu Singh, SVP of Product Development at OpsRamp at the AIOps Expo, Feb 2019 at Fort Lauderdale, FL.

Software Performance Metrics that you should look at throughout your Build Pipeline and not just when your app crashes in productiong. Find performance and scalability problems as soon as executing your first Unit Test. Simply focus on metrics such as #SQLs, #LogMessages, #Objects on Heap, ...

Keptn is an open-source project that provides tools to enable continuous delivery and automation for modern applications using Kubernetes. It allows developers to focus on code and DevOps teams to focus on tools rather than building custom pipelines. Keptn provides automated multi-stage delivery pipelines, automated quality gates, self-healing deployments, and enables zero-touch toolchain integration and updates. It also supports automated problem remediation in production for continuous operations. Keptn follows cloud-native design principles and provides a common way for organizations to achieve autonomous delivery and operations.

NetApp is a global cloud-led, data-centric software company. They are an industry leader in hybrid cloud data services and data management solutions. Their platform enables their customers to store and share large quantities of digital data across physical and hybrid cloud environments. NetApp Engineering’s Site Reliability Engineering team is tasked with supporting their internal build environment, test, and automation infrastructure. After collecting their time-stamped data in InfluxDB, they are using Kapacitor to push alerts directly to Slack via webhooks. Their globally distributed SRE team are able to seamlessly collaborate and troubleshoot. Discover how NetApp uses a time series platform to detect trends in real time that can result in failures within their environments, and to provide key metrics used in SRE postmortems. Join this webinar as Dustin Sorge will dive into: NetApp's approach to monitoring their SRE team's metrics — including SLO's and SLI's Their best practices and techniques for monitoring memory usage and CPU usage How they use InfluxDB and Telegraf to detect trends and coordinate fixes faster.

This document provides an overview of Apex triggers in Salesforce. It discusses what Apex triggers are, how they can be used to support record management and build process-driven logic. The document compares triggers to process builders and explains the order of execution. It also covers sandbox and developer environments, the developer console for debugging, and includes an Apex trigger demo.

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.

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!

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.

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.

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.

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