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.
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.
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
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.
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
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
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!
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.
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.
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
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.
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
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
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!
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.
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
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
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
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
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
Top .NET, Java & Web Performance Mistakes - Meetup Jan 2015Andreas Grabner
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, ...
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.
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
Performance Metrics Driven CI/CD - Introduction to Continuous Innovation and ...Mike Villiger
Deck used for my talk at the 2016 Spring User Conference in Toronto. Deck was followed up by a walkthrough of a Jenkins workflow that deployed to Cloud Foundry based on jmeter test results
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.
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.
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.
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!
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
AI-Powered DevOps: Injecting Speed & Quality Across Verizon’s Cloud PipelinesDynatrace
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!
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
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.
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
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
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
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
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
Top .NET, Java & Web Performance Mistakes - Meetup Jan 2015Andreas Grabner
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, ...
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.
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
Performance Metrics Driven CI/CD - Introduction to Continuous Innovation and ...Mike Villiger
Deck used for my talk at the 2016 Spring User Conference in Toronto. Deck was followed up by a walkthrough of a Jenkins workflow that deployed to Cloud Foundry based on jmeter test results
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.
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.
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.
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!
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
AI-Powered DevOps: Injecting Speed & Quality Across Verizon’s Cloud PipelinesDynatrace
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!
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
DevOps: A Culture Transformation, More than TechnologyCA Technologies
DevOps is not a new technology or a product. It's an approach or culture of SW development that seeks stability and performance at the same time that it speeds software deliveries to the business. We will discuss this cultural shift where development teams have to accept the feedback of operations teams and the operations team should be ready to accept frequent updates to the SW that it's running.
To learn more about DevOps solutions from CA Technologies, please visit: http://bit.ly/1wbjjqX
Presented @ Boston DevOps Aug 18, 2015
Subset of DevOps Enterprise & Agile 2015
This is an introductory level presentation for those past first DevOp application
Slide 1 - Start with the end in mind, what are you really trying to accomplish with your metrics
Slide 2 - Simple to develop, Simple to maintain, Simple to understand
What we learned from #CMGimPACt Performance and Capacity Conference attendee ...Anoush Najarian
During the #CMGimPACt Performance and Capacity conference, I informally interviewed attendees on what brings them to CMG and how we can serve them better, then analyzed the results using Contextual Interviewing techniques, and created this report.
The presentation outlines a methodology of queuing model-based load testing of large (with thousands users) enterprise applications deployed on premise and in the Cloud
DOES14 - Stephen Elliot - IDC - Delivering DevOps Business Metrics that MatterGene Kim
Stephen Elliot, VP of IDC
DevOps is the modern way to deploy new IT capabilities that drive and deliver business results. This session will dive into the key metrics that large companies are using to gauge the success and measure results utilizing the DevOps discipline. The session will answer the following questions:
What are some of the key technology and business metrics that large organizations are using to measure and manage DevOps projects?
What are the critical success factors required when communicating with the business on Devops delivered projects?
What role do the security and compliance teams play in DevOps, and related metrics?
Performance trends and alerts with ThingSpeak IoTAnoush Najarian
We use data analysis and visualization capabilities of ThingSpeak, our favorite Internet of Things platform to capture and analyze performance data, to help with performance monitoring and to generate alerts
Phil Odence from Black Duck Software and Guy Martin from the Samsung Open Source Group discuss how to apply open source principals to internal development efforts, with examples from Thomson Reuters and Samsung.
Slides from my Inner Source 101 presentation at Great Wide Open 2016. Using the lessons learned from Open Source to enhance Enterprise IT via inner-sourcing
Atmosphere 2016 - Andreas Grabner - Metrics Driven-DevOps: Delivering High Qu...PROIDEA
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!
Testing and Measurement in DevOps: Find Solutions—Not More ProblemsTechWell
The promise of DevOps is to deliver new features faster following today’s best practices. However, blindly automating the delivery pipeline by installing Jenkins, Chef, and Docker without adapting test approaches will cause a great number of deployments to fail. While the tester’s role and testing are critical for the success of DevOps, the tester’s objective changes—from finding more defects to understanding the patterns that make deployments fail. Then, the job is to automate the detection of these patterns through quality gates into the pipeline. Using examples from Capital One, Verizon, and others, Andreas Grabner explains which technical metrics—# of SQLs, # Memory Allocations, # of Service Calls—to capture while testing in order to identify bad coding and architectural patterns earlier. In the DevOps world, you are no longer measured by number of tests created, executed, and problems reported; you are measured by your collaboration with development and operations, and the success rate of your team’s deliverables.
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.
apidays LIVE Paris - GraphQL meshes by Jens Neuseapidays
apidays LIVE Paris - Responding to the New Normal with APIs for Business, People and Society
December 8, 9 & 10, 2020
GraphQL meshes
Jens Neuse, Founder of Wundergraph
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.
Continuous (Non)-Functional Testing of Microservices on k8s QAware GmbH
Continuous Lifecycle Online 2021, May 11th 2021, online: Vortrag von Mario-Leander Reimer (@LeanderReimer, Principal Software Architect bei QAware)
== Please download slides if blurred! ==
Abstract:
Continuous delivery is everywhere. Well, not quite! Many teams still fail to continuously deliver well tested and stable product increments to production, especially when it comes to its non-functional attributes. Usually with the same old excuse: these high-level tests are too laborious and expensive to implement. But the opposite could be the case! This slides will show how easy it is to implement continuous performance, security and acceptance tests based for microservices on Kubernetes using well-known open source tools.
Starting Your DevOps Journey – Practical Tips for OpsDynatrace
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!
DevOps Fest 2019. Gianluca Arbezzano. DevOps never sleeps. What we learned fr...DevOps_Fest
Where a company with an OpenSource project announce that they are working on a new major release there is always a lot of chatting going on in the community because you never know how much this is going to break your system. Gianluca Arbezzano SRE at InfluxData will speak about the journey the company is facing from a DevOps perspective to move from InfluxDB v1 to version 2 a fully integrated platform that starts from the strong background we built running a database like InfluxDB at scale in our SaaS offer. This is not just a story about how a project evolved but it touches all the company in particular for what concern DevOpsFest everything around Kubernetes, Container and automation. How the SRE team managed the onboard of 20 developers on a cloud based project where operating and observing the system is a key concept to learn how to build a more solid and sustainable product.
We’ve been told the future is automated, orchestrated, service-oriented applications built on top of dynamic, on-demand, massively scalable infrastructure (serverless anyone?). But how do you go from here to there? At Betterment we built a platform that goes beyond “lift and shift”. In this presentation, I’ll share how we built a platform for tomorrow, with support for today’s legacy apps. I’ll also share how we designed the tooling to encourage developers to build for the future, while ensuring security and reliability, going deep into how the tooling ultimately guided our own path, and why the principles behind everything helped us stay the course.
Google Cloud Platform Solutions for DevOps EngineersMárton Kodok
learn the DevOps essentials about cloud components, FaaS, PaaS architectural patterns that make use of Cloud Functions, Pub/Sub, Dataflow, Kubernetes and how we develop and deploy cloud software. You will get hands on information how to build, run, monitor highly scalable and flexible applications optimized to run on GCP. We will discuss cloud concepts and highlights various design patterns and best practices.
Building a full-stack app with Golang and Google Cloud Platform in one weekDr. Felix Raab
The talk will cover how to effectively build a production-ready, full-stack app with Golang and GCP under time constraints. I'll discuss how to approach making quick and sound technical decisions and how to apply modern software engineering practices for end-to-end apps. The presentation shows, in an opinionated and "meme-ful" way, various lessons learned, tools, and key takeaways for cloud environments.
In this talk from DevCon TLV we covered:
● The power of HTML5 APIs and how you can use them in your next modern Web Apps.
● On the server side how you can use: Google Cloud Endpoints to scale your API and gain more productivity.
● We did some live Demos and talked about Big Query interfaces.
Performance Metrics for your Build Pipeline - presented at Vienna WebPerf Oct...Andreas Grabner
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, ...
Webinar: Data Streaming with Apache Kafka & MongoDBMongoDB
A new generation of technologies is needed to consume and exploit today's real time, fast moving data sources. Apache Kafka, originally developed at LinkedIn, has emerged as one of these key new technologies.
This webinar explores the use-cases and architecture for Kafka, and how it integrates with MongoDB to build sophisticated data-driven applications that exploit new sources of data.
Watch the webinar to learn:
- What MongoDB is and where it's used
- What data streaming is and where it fits into modern data architectures
- How Kafka works, what it delivers, and where it's used
- How to operationalize the Data Lake with MongoDB & Kafka
- How MongoDB integrates with Kafka – both as a producer and a consumer of event data
The webinar is co-presented with Confluent, the company founded by the creators of Apache Kafka.
Four Steps Toward a Safer Continuous Delivery Practice (Hint: Add Monitoring)VMware Tanzu
The demands of fast incremental code development require a stable, safe, and continuous delivery pipeline that can get your code into the hands of your customers without delay. Put your continuous delivery pipeline on autopilot by automating and simplifying the workflow—continuous integration to production readiness—and by using an automated monitoring solution to prevent bad builds from impacting production.
This webinar will cover the steps to building an automated, monitored pipeline:
1. Modeling and visualizing your build and delivery process as a pipeline (defined as a single, declarative config file) using Concourse CI.
2. Leveraging integrations to trigger actions and share data, supporting functions like testing, collaboration, and monitoring.
3. Enhancing your end-to-end continuous delivery pipeline with contextual deployment event feeds to Dynatrace.
4. Adding automated, metrics-based quality gates between pre-production stages and an automatic post-production approval step, all with specifications defined in source control.
Attendees will learn how some of the unique capabilities of Concourse CI and Pivotal Cloud Foundry, coupled with Dynatrace’s software intelligence, can put your continuous delivery pipeline on autopilot and ensure safer production outcomes.
Presenters: James Ma, Senior Product Manager, Pivotal & Michael Villiger, Sr. Technical Partner Manager, Dynatrace
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.
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.
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!
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.
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Globus
The U.S. Geological Survey (USGS) has made substantial investments in meeting evolving scientific, technical, and policy driven demands on storing, managing, and delivering data. As these demands continue to grow in complexity and scale, the USGS must continue to explore innovative solutions to improve its management, curation, sharing, delivering, and preservation approaches for large-scale research data. Supporting these needs, the USGS has partnered with the University of Chicago-Globus to research and develop advanced repository components and workflows leveraging its current investment in Globus. The primary outcome of this partnership includes the development of a prototype enterprise repository, driven by USGS Data Release requirements, through exploration and implementation of the entire suite of the Globus platform offerings, including Globus Flow, Globus Auth, Globus Transfer, and Globus Search. This presentation will provide insights into this research partnership, introduce the unique requirements and challenges being addressed and provide relevant project progress.
Modern design is crucial in today's digital environment, and this is especially true for SharePoint intranets. The design of these digital hubs is critical to user engagement and productivity enhancement. They are the cornerstone of internal collaboration and interaction within enterprises.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
How Does XfilesPro Ensure Security While Sharing Documents in Salesforce?XfilesPro
Worried about document security while sharing them in Salesforce? Fret no more! Here are the top-notch security standards XfilesPro upholds to ensure strong security for your Salesforce documents while sharing with internal or external people.
To learn more, read the blog: https://www.xfilespro.com/how-does-xfilespro-make-document-sharing-secure-and-seamless-in-salesforce/
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Advanced Flow Concepts Every Developer Should KnowPeter Caitens
Tim Combridge from Sensible Giraffe and Salesforce Ben presents some important tips that all developers should know when dealing with Flows in Salesforce.
SOCRadar Research Team: Latest Activities of IntelBrokerSOCRadar
The European Union Agency for Law Enforcement Cooperation (Europol) has suffered an alleged data breach after a notorious threat actor claimed to have exfiltrated data from its systems. Infamous data leaker IntelBroker posted on the even more infamous BreachForums hacking forum, saying that Europol suffered a data breach this month.
The alleged breach affected Europol agencies CCSE, EC3, Europol Platform for Experts, Law Enforcement Forum, and SIRIUS. Infiltration of these entities can disrupt ongoing investigations and compromise sensitive intelligence shared among international law enforcement agencies.
However, this is neither the first nor the last activity of IntekBroker. We have compiled for you what happened in the last few days. To track such hacker activities on dark web sources like hacker forums, private Telegram channels, and other hidden platforms where cyber threats often originate, you can check SOCRadar’s Dark Web News.
Stay Informed on Threat Actors’ Activity on the Dark Web with SOCRadar!
7. @grabnerandi
New Deployment + Mkt Push
Increase # of unhappy users!
Decline in Conversion Rate
Overall increase of Users!
#2: User Experience -> Conversion
Spikes in FRUSTRATED Users!
9. @grabnerandi
App with Regular
Load supported by
10 ContainersTwice the Load but 48
(=4.8x!) Containers!
App doesn’t scale!!
#4: Scalability -> Cost per User
12. @grabnerandi
DevOps @ Target
presented at Velocity, DOES and more …
http://apmblog.dynatrace.com/2016/07/07/measure-frequent-successful-software-releases/
“We increased from monthly to 80
deployments per week
… only 10 incidents per month …
… over 96% successful! ….”
13. “We Deliver High Quality Software,
Faster and Automated using New Stack“
„Shift-Left Performance
to Reduce Lead Time“
Adam Auerbach, Sr. Dir DevOps
https://github.com/capitalone/Hygieia & https://www.spreaker.com/user/pureperformance
“… deploy some of our most critical production
workloads on the AWS platform …”, Rob Alexander, CIO
28. @grabnerandi
26.7s Load Time
5kB Payload
33! Service Calls
99kB - 3kB for each call!
171!Total SQL Count
Architecture Violation
Direct access to DB from frontend service
Single search query end-to-end
29. @grabnerandi
The fixed end-to-end use case
“Re-architect” vs. “Migrate” to Service-Orientation
2.5s (vs 26.7)
5kB Payload
1! (vs 33!) Service Call
5kB (vs 99) Payload!
3!(vs 177) Total
SQL Count
35. @grabnerandi
Dev&Test: Check-In
Better Code
Performance: Production Ready
Checks! Validate Monitoring
Ops/Biz: Provide Usage and
Resource Feedback for next
Sprints
Test / CI: Stop Bad Builds Early
Build & Deliver Apps like the Unicorns!
With a Metrics-Driven Pipeline!
Most screenshots are from Dynatrace AppMon – http://bit.ly/dtpersonal – but presented concepts should work with many other tools
How I prepared for DevOps Days
I love metrics! And I think we need to make metrics-based decisions. There are different types of metrics and different visualizations
They come from tools. I work for Dynatrace and we provide all these metrics – but there are also other tools out there that do that job
A basic key metric for developers should be „Did I break the build“.
This is why we at Dynatrace installed these Pipeline State UFOs that are hooked up with Jenkins to tell engineers how good or bad the current Trunk or Latest Sprint build is
Key thing here is that this should not only be applied to the build itself but to metrics across the delivery pipeline: from DevToOps. It should include metrics like the next examples
The most basic metric for everyone operating software. Did my last deployment break anything? Is the software still available from those locations where my users are accessing the software? Use Synthetic Monitoring: http://www.dynatrace.com/en/synthetic-monitoring/
Monitoring user experience and impact on conversion rate
Screenshot from Dynatrace AppMon & UEM
Even if the deployment seemed good because all features work and response time is the same as before. If your resource consumption goes up like this the deployment is NOT GOOD. As you are now paying a lot of money for that extra compute power
Screenshot from Dynatrace AppMon
If you test for scalability make sure the application scales „linear“ – or at least as linear as possible. Not like in this case where twice the load required 4.8X the number of containers.
Screenshot from Dynatrace AppMon -> comparing two Transaction Flows!
Understand user behavior depending on who they are and what they are doing.
Screenshot from https://github.com/Dynatrace/Dynatrace-UEM-PureLytics-Heatmap
Does the behavior change if they have a less optimal user experience?
Screenshot from https://github.com/Dynatrace/Dynatrace-UEM-PureLytics-Heatmap
Seems like users that have a frustrating experience are more likely to click on Support
Screenshot from https://github.com/Dynatrace/Dynatrace-UEM-PureLytics-Heatmap
Another cool example of conversion rate compared to technical metrics
In case you are a “DevOps Virgin” I definitely recommend checking out The Phoenix Project (the DevOps Bible) and Continuous Delivery (which is what we actually all want to achieve): Deliverying software faster with great quality and without all potential mistakes that a manual and rigid process brings with it
This inspired many companies which have been talking about their successes!
At Dynatrace we also went through a major transformation over the last years.
But it is not only about delivering features faster – it is also about delivering fast features!
These stats come from here: http://nft.atcyber.com/infographics/infographic-the-importance-of-web-performance-20140913
But don’t make the mistake to blindly follow every unicorn out there
Taken from http://www.hostingadvice.com/blog/cloud-66-devops-as-a-service/
If you just automate a process that hasnt yet had enough time for quality you will just produce bad software -> but faster
If you have the freedom to add more features more rapidly make sure you measure if they are used. If not – take them out. This avoids piling up Technical and Business Debt
I get most of my stories from my Share Your PurePath program which is a free offering for our Dynatrace Free Trial & Personal License users: http://bit.ly/dtpersonal
They had a monolithic app that couldnt scale endlessly. Their popularity caused them to think about re-architecture and allowing developers to make faster changes to their code. The were moving towards a Service Approach
Separating frontend logic from backend (search service). The idea was to also host these services potentially in the public cloud (frontend) and in a dynamic virtual enviornment (backend) to be able to scale better globally
On Go Live Date with the new architecture everything looked good at 7AM where not many folks were yet online!
By noon – when the real traffic started to come in the picture was completely different. User Experience across the globe was bad. Response Time jumped from 2.5 to 25s and bounce rate trippled from 20% to 60%
The backend service itself was well tested. The problem was that they never looked at what happens under load „end-to-end“. Turned out that the frontend had direct access to the database to execute the initial query when somebody executed a search. The returned list of search result IDs was then iterated over in a loop. For every element a „Micro“ Service call was made to the backend which resulted in 33! Service Invokations for this particular use case where the search result returned 33 items. Lots of wasted traffic and resources as these Key Architectural Metrics show us
They fixed the problem by understanding the end-to-end use cases and then defined backend service APIs that provided the data they really needed by the frontend. This reduced roundtrips, elimiated the architectural regression and improved performance and scalability
Lessons Learned!
Got this story also covered here: https://www.infoq.com/articles/Diagnose-Microservice-Performance-Anti-Patterns
If we monitor these key metrics in dev and in ops we can make much better decisions on which builds to deploy
We immediately detect bad changes and fix them. We will stop builds from making it into Production in case these metrics tell us that something is wrong.
We can also take features out that nobody uses if we have usage insights for our services. Like in this case we monitor % of Visitors using a certain feature. If a feature is never used – even when we spent time to improve performance – it is about time to take this feature out. This removes code that nobody needs and therefore reduces technical debt: less code to maintain – less tests to maintain – less bugs in the system!
How? Leverage your existing Functional, Unit or Integration Tests. Instrument the code you are testing and extract key metrics that you can track from build to build. Then baseline these metrics
Check out blogs on Problem Pattern Detection and Key Performance Metrics
http://apmblog.dynatrace.com/2016/06/23/automatic-problem-detection-with-dynatrace/
http://apmblog.dynatrace.com/2016/02/23/top-tomcat-performance-problems-database-micro-services-and-frameworks/
https://www.infoq.com/articles/Diagnosing-Common-Java-Database-Performance-Hotspots
If one of these metrics spikes you detected a regression that should fail the build
If we do all that we can build a beautilful pipeline where quality metrics are enforced along the way!!
With that we can make our users happy 24/7 – at any load