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10 Best Practices for scalability from eBay, as presented at JavaOne 2010.
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eBay architects Randy Shoup and Dan Pritchett give a guided tour of the eBay architecture. They cover the evolution of the technology stack from Perl to C++ to Java. And they discuss scaling strategies for the data tier, application tier, search, and operations.
The eBay Architecture: Striking a Balance between Site Stability, Feature Ve...
The eBay Architecture: Striking a Balance between Site Stability, Feature Ve...
Randy Shoup
These are the slides I gave from my recent talk at Javazone. It's an update of my 'Practical Considerations For Microservices' talk. You can see the accompanying video here: http://vimeo.com/105751281
Practical microservices - javazone 2014
Practical microservices - javazone 2014
Sam Newman
As a maker of real-time strategy games for web and mobile, KIXEYE's business depends on deep insights into how players play our games. By analyzing player behavior in a rich and flexible way, we are able to better target our efforts around user acquisition, game balance, player retention, and game monetization. By storing and analyzing data in standard ways, our data scientists are better able to take learnings from one game and apply them to another. This presentation describes KIXEYE's newly-minted modern analytics infrastructure soup-to-nuts, from Kafka queues through Hadoop 2 to Hive and Redshift. It outlines our efforts around queryability, extensibility, scalability, standardization, and stability and outage recovery. It further shares our lessons learned in building, testing, operating, and enhancing this mission-critical piece of our infrastructure.
QCon New York 2014 - Scalable, Reliable Analytics Infrastructure at KIXEYE
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Randy Shoup
Learn how to build applications for a platform that can reach 330M+ worldwide users! This session gives a technical overview of the Yahoo! Application Platform (YAP), which enables third-party applications to be embedded within popular Yahoo! destinations such as My Yahoo! and the Yahoo! home page. The session will cover key features of YAP, including Yahoo Markup Language (YML), Caja, Open Social, image cache and application editor. Next the talk will explain how to build an application for this platform as well as best practices to deliver great user experience from your application.
Yahoo! Application Platform Technical Deep Dive
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eBay Architecture
eBay Architecture
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Most large-scale web companies have evolved their system architecture from a monolithic application and monolithic database to a set of loosely coupled microservices. Using examples from Google, eBay, and other large-scale sites, this talk outlines the pros and cons of these different stages of evolution, and makes practical suggestions about when and how other organizations should consider migrating to microservices. It continues with some more advanced implications of a microservices architecture, including SLAs, cost-allocation, and vendor-customer relationships within the organization. It concludes by exploring a set of common service anti-patterns.
From the Monolith to Microservices - CraftConf 2015
From the Monolith to Microservices - CraftConf 2015
Randy Shoup
This is the longer, 90 min version of my Microservices talk, as presented at Velocity 2016 in Santa Clara. Security is everyone’s job, even if you’re not a specialist. Microservices offer many options for securing your systems. Done right, microservices can increase the security of your vital data and processes. Done wrong, and they can increase the surface area of attack. Sam Newman explores the importance of defense in depth, discussing the many different ways in which you can secure your fine-grained, distributed architectures and outlining a model to show how developers can think about application security and how they can play their part. From there, Sam dives into the specific challenges in microservice architectures and explains how application security principles can be applied to these often much more complex application architectures. You’ll leave with a high-level framework for thinking about application security and tools that help with prevention, detection, response, and recovery, as well as the knowledge of what not to do when breaches happen.
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Recommended
eBay architects Randy Shoup and Dan Pritchett give a guided tour of the eBay architecture. They cover the evolution of the technology stack from Perl to C++ to Java. And they discuss scaling strategies for the data tier, application tier, search, and operations.
The eBay Architecture: Striking a Balance between Site Stability, Feature Ve...
The eBay Architecture: Striking a Balance between Site Stability, Feature Ve...
Randy Shoup
These are the slides I gave from my recent talk at Javazone. It's an update of my 'Practical Considerations For Microservices' talk. You can see the accompanying video here: http://vimeo.com/105751281
Practical microservices - javazone 2014
Practical microservices - javazone 2014
Sam Newman
As a maker of real-time strategy games for web and mobile, KIXEYE's business depends on deep insights into how players play our games. By analyzing player behavior in a rich and flexible way, we are able to better target our efforts around user acquisition, game balance, player retention, and game monetization. By storing and analyzing data in standard ways, our data scientists are better able to take learnings from one game and apply them to another. This presentation describes KIXEYE's newly-minted modern analytics infrastructure soup-to-nuts, from Kafka queues through Hadoop 2 to Hive and Redshift. It outlines our efforts around queryability, extensibility, scalability, standardization, and stability and outage recovery. It further shares our lessons learned in building, testing, operating, and enhancing this mission-critical piece of our infrastructure.
QCon New York 2014 - Scalable, Reliable Analytics Infrastructure at KIXEYE
QCon New York 2014 - Scalable, Reliable Analytics Infrastructure at KIXEYE
Randy Shoup
Learn how to build applications for a platform that can reach 330M+ worldwide users! This session gives a technical overview of the Yahoo! Application Platform (YAP), which enables third-party applications to be embedded within popular Yahoo! destinations such as My Yahoo! and the Yahoo! home page. The session will cover key features of YAP, including Yahoo Markup Language (YML), Caja, Open Social, image cache and application editor. Next the talk will explain how to build an application for this platform as well as best practices to deliver great user experience from your application.
Yahoo! Application Platform Technical Deep Dive
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Tony Ng
eBay Architecture
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Tony Ng
Most large-scale web companies have evolved their system architecture from a monolithic application and monolithic database to a set of loosely coupled microservices. Using examples from Google, eBay, and other large-scale sites, this talk outlines the pros and cons of these different stages of evolution, and makes practical suggestions about when and how other organizations should consider migrating to microservices. It continues with some more advanced implications of a microservices architecture, including SLAs, cost-allocation, and vendor-customer relationships within the organization. It concludes by exploring a set of common service anti-patterns.
From the Monolith to Microservices - CraftConf 2015
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Randy Shoup
This is the longer, 90 min version of my Microservices talk, as presented at Velocity 2016 in Santa Clara. Security is everyone’s job, even if you’re not a specialist. Microservices offer many options for securing your systems. Done right, microservices can increase the security of your vital data and processes. Done wrong, and they can increase the surface area of attack. Sam Newman explores the importance of defense in depth, discussing the many different ways in which you can secure your fine-grained, distributed architectures and outlining a model to show how developers can think about application security and how they can play their part. From there, Sam dives into the specific challenges in microservice architectures and explains how application security principles can be applied to these often much more complex application architectures. You’ll leave with a high-level framework for thinking about application security and tools that help with prevention, detection, response, and recovery, as well as the knowledge of what not to do when breaches happen.
AppSec & Microservices - Velocity 2016
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Data Center Migration to the AWS Cloud
Data Center Migration to the AWS Cloud
Tom Laszewski
Building distributed systems that work is hard. And scaling those systems by multiple orders of magnitude is even harder. Using examples from internet-scale consumer properties like Google, Amazon, and eBay, this talk deep-dives into the counterintuitive idea that the key to success in large-scale architecture is simplicity. We first discuss simple components like modular services, orthogonal domain logic, and service layering. Next we discuss simple interactions between components, leveraging event-driven models, immutable logs, and asynchronous dataflow. Then we explore techniques that simplify making changes the system, including incremental changes, continuous testing, canary deployments, and feature flags. In the final part of the talk, we show how all these ideas work together with specific architectural examples from Amazon, Netflix, and Walmart. You will take away actionable insights you can immediately put into practice in your own systems.
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In October 2012, Google App Engine had an 8-hour global outage. This session walks through the incident and the "Reliability Fixit" it inspired in its aftermath. Learn how the team came together, and over the next 6 months, reduced reliability issues by 10x. Also take away broader insights around engineering tradeoffs, managing an incident, and driving improvement.
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As the research in Accelerate and in the DevOps Handbook shows, high-performing organizations deliver more rapidly, more repeatably, and more reliably. And as an organization scales, it becomes more and more important to get the product development process right. Drawing on the speaker's experiences leading high-performing organizations at Google and eBay, this session discusses the upstream parts of that process, focusing on organization, problem definition, and prioritization. We will discuss forming small, cross-functional teams with clear areas of responsibility. Then we will discuss the importance of clearly defining the problem we are trying to solve as a team. Finally, we will cover focus and prioritization -- how we decide what to do when. You will take away actionable techniques you can apply in your own organization.
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Throughout engineering history, focused and empowered teams have consistently achieved the near-impossible. Alan Turing, Tommy Flowers, and their teams at Bletchley Park broke Nazi codes, saved their country, and brought down the Third Reich. Kelly Johnson and the Lockheed Skunk Works designed and built the XP-80 in 143 days, and later produced the U-2, the SR-71, and the F-22. Xerox PARC invented Smalltalk, graphical user interfaces, Ethernet, and the laser printer. What can this history teach us? Well, basically everything. Effective teams have a purpose - a clearly defined problem which the entire team focuses on and owns end-to-end. Effective teams have an organizational culture that prioritizes collaboration and learning. And most importantly, effective teams are made up of people from diverse backgrounds and experiences. If this sounds a lot like DevOps, or true little-a agile, that's no coincidence. But too few organizations actually practice these three-quarter-century-old ideas despite the overwhelming evidence that they work. So let's relearn those history lessons.
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Building distributed systems that work is hard. And scaling those systems by multiple orders of magnitude is even harder. Using examples from internet-scale consumer properties like Google, Amazon, and eBay, this talk deep-dives into the counterintuitive idea that the key to success in large-scale architecture is simplicity. We first discuss simple components like modular services, orthogonal domain logic, and service layering. Next we discuss simple interactions between components, leveraging event-driven models, immutable logs, and asynchronous dataflow. Then we explore techniques that simplify making changes the system, including incremental changes, continuous testing, canary deployments, and feature flags. In the final part of the talk, we show how all these ideas work together with specific architectural examples from Amazon, Netflix, and Walmart. You will take away actionable insights you can immediately put into practice in your own systems.
Large Scale Architecture -- The Unreasonable Effectiveness of Simplicity
Large Scale Architecture -- The Unreasonable Effectiveness of Simplicity
Randy Shoup
The best response to a system outage is not "What did you do?", but "What did we learn?" This session will walk through three system-wide outages at Google, at Stitch Fix, and at WeWork—their incidents, aftermaths, and recoveries. In all cases, many things went right and a few went wrong; also in all cases, because of blameless cultures, we buckled down, learned a lot, and made substantial improvements in the systems for the future. Looking back with the perspective of 20-20 hindsight, all of these incidents were seminal events that changed the focus and trajectory of engineering at each organization. You will leave with a set of actionable suggestions in dealing with customers, engineering teams, and upper management. You will also enjoy a few war stories from the trenches.
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Anatomy of Three Incidents -- Commonalities and Lessons
Randy Shoup
In October 2012, Google App Engine had an 8-hour global outage. This session walks through the incident and the "Reliability Fixit" it inspired in its aftermath. Learn how the team came together, and over the next 6 months, reduced reliability issues by 10x. Also take away broader insights around engineering tradeoffs, managing an incident, and driving improvement.
One Terrible Day at Google, and How It Made Us Better
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This talk from the virtual 2020 CTO Summit (https://www.ctoconnection.com/summits) covers several architecture lessons to help you survive and thrive through the scaling phase of your company: * Modular Architecture * Event-Driven Communication * Quality and Reliability * Continuous Delivery
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Randy Shoup
This presentation introduces the idea of a "Minimal Viable Architecture". As a company and product evolves, its architecture should evolve as well. We talk about the different phases of a product -- from the idea phase, to the starting phase, scaling phase, and optimizing phase. For each phase, we discuss the goals and constraints on the business, and we suggest an appropriate software architecture to match. Throughout the presentation, we use examples from eBay, Google, StitchFix, and others.
Minimal Viable Architecture - Silicon Slopes 2020
Minimal Viable Architecture - Silicon Slopes 2020
Randy Shoup
Machine learning has become an important tool in the modern software toolbox, and high-performing organizations are increasingly coming to rely on data science and machine learning as a core part of their business. eBay introduced machine learning to its commerce search ranking and drove double-digit increases in revenue. Stitch Fix built a multibillion dollar clothing retail business in the US by combining the best of machines with the best of humans. And WeWork is bringing machine-learned approaches to the physical office environment all around the world. In all cases, algorithmic techniques started simple and slowly became more sophisticated over time. This talk will use these examples to derive an agile approach to machine learning, and will explore that approach across several different dimensions. We will set the stage by outlining the kinds of problems that are most amenable to machine-learned approaches as well as describing some important prerequisites, including investments in data quality, a robust data pipeline, and experimental discipline. Next, we will choose the right (algorithmic) tool for the right job, and suggest how to incrementally evolve the algorithmic approaches we bring to bear. Most fancy cutting-edge recommender systems in the real world, for example, started out with simple rules-based techniques or basic regression. Finally, we will integrate machine learning into the broader product development process, and see how it can help us to accelerate business results
An Agile Approach to Machine Learning
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Randy Shoup
As the research in Accelerate and in the DevOps Handbook shows, high-performing organizations deliver more rapidly, more repeatably, and more reliably. And as an organization scales, it becomes more and more important to get the product development process right. Drawing on the speaker's experiences leading high-performing organizations at Google and eBay, this session discusses the upstream parts of that process, focusing on organization, problem definition, and prioritization. We will discuss forming small, cross-functional teams with clear areas of responsibility. Then we will discuss the importance of clearly defining the problem we are trying to solve as a team. Finally, we will cover focus and prioritization -- how we decide what to do when. You will take away actionable techniques you can apply in your own organization.
Moving Fast at Scale
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Randy Shoup
Throughout engineering history, focused and empowered teams have consistently achieved the near-impossible. Alan Turing, Tommy Flowers, and their teams at Bletchley Park broke Nazi codes, saved their country, and brought down the Third Reich. Kelly Johnson and the Lockheed Skunk Works designed and built the XP-80 in 143 days, and later produced the U-2, the SR-71, and the F-22. Xerox PARC invented Smalltalk, graphical user interfaces, Ethernet, and the laser printer. What can this history teach us? Well, basically everything. Effective teams have a purpose - a clearly defined problem which the entire team focuses on and owns end-to-end. Effective teams have an organizational culture that prioritizes collaboration and learning. And most importantly, effective teams are made up of people from diverse backgrounds and experiences. If this sounds a lot like DevOps, or true little-a agile, that's no coincidence. But too few organizations actually practice these three-quarter-century-old ideas despite the overwhelming evidence that they work. So let's relearn those history lessons.
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Randy Shoup
This session is a deep dive into the modern best practices around asynchronous decoupling, resilience, and scalability that allow us to implement a large-scale software system from the building blocks of events and services, based on the speaker's experiences implementing such systems at Google, eBay, and other high-performing technology organizations. We will outline the various options for handling event delivery and event ordering in a distributed system. We will cover data and persistence in an event-driven architecture. Finally, we will describe how to combine events, services, and so-called 'serverless' functions into a powerful overall architecture. You will leave with practical suggestions to help you accelerate your development velocity and drive business results.
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Randy Shoup
The best response to a system outage is not "What did you do?", but "What did we learn?" This session will walk through three system-wide outages at Google, at Stitch Fix, and at WeWork—their incidents, aftermaths, and recoveries. In all cases, many things went right and a few went wrong; also in all cases, because of blameless cultures, we buckled down, learned a lot, and made substantial improvements in the systems for the future. Looking back with the perspective of 20-20 hindsight, all of these incidents were seminal events that changed the focus and trajectory of engineering at each organization. You will leave with a set of actionable suggestions in dealing with customers, engineering teams, and upper management. You will also enjoy a few war stories from the trenches.
Learning from Learnings: Anatomy of Three Incidents
Learning from Learnings: Anatomy of Three Incidents
Randy Shoup
The “right” architecture and organization depends on the size and scale of your company. The only constant is change, and what works for 5 engineers does not work for 5000. Based upon lessons from Google and eBay, learn how to evolve both technology and organization together successfully. This presentation is based on many hard-won lessons by the speaker, who led large-scale engineering teams at Google and eBay, but also co-founded a tiny startup and tried (unsuccessfully) to apply the same techniques. This session hopes to help others from making the same mistakes by introducing the concept of “Minimal Viable Architecture”. It outlines the common architectural evolution of a company or project through the search, execution, and scaling phases, and discusses the appropriate technologies, disciplines, and organizational structures at each phase. You'll start with a monolith, and end up with microservices, and that's completely and entirely appropriate.
Minimum Viable Architecture - Good Enough is Good Enough
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How do effective large-scale service ecosystems work? Keynote Presentation at Istanbul Tech Talks 2018 How to Design Services * Systems of record * Interface specification * Interface backward / forward compatibility Service Ecosystems * Layered services * "Standardization" through encouragement * Vendor-customer relationships between teams Operating and Deploying Services * Data Migration * Automated Pipelines * Incremental Deployment * Feature Flags
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This talk describes several common challenges of software systems at scale: * How to break up a monolithic application or a monolithic database into microservices. * How to approach shared data, joins, and transactions in a microservices ecosystem
Monoliths, Migrations, and Microservices
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Randy Shoup
Keynote at DevOpsDays Cuba Successful Internet companies are built on a foundation of excellent culture, efficient organization, and solid technology. As a company needs to scale, all of these parts of the foundation need to grow and scale with it. This session covers modern best practices at innovative companies in Silicon Valley for scaling culture, organization, and technology. Driven primarily by the presenter's experience ranging from small Valley startups to Google and eBay, it discusses: * Organizing small, fast-moving engineering teams * Building a scalable system out of smaller microservices * Maintaining a culture of ownership and collaboration * Developing effective engineering processes of continuous integration and continuous delivery
Evolving Architecture and Organization - Lessons from Google and eBay
Evolving Architecture and Organization - Lessons from Google and eBay
Randy Shoup
Faster is Better. High-performing organizations deploy both substantially faster and substantially more reliably, and thus are 2.5x more likely to achieve business goals. This keynote covers how to move fast at large scale: * Organizing for Speed * What to Build and What NOT to Build * When to Build * How to Build * Delivering and Operating Keynote at Reversim Summit 2017 in Tel Aviv, Israel.
Moving Fast At Scale
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Randy Shoup
DevOps is far more about culture and organization than it is about technology and tooling. This talk will discuss the speaker's experiences leading high-performing engineering teams at Google, eBay, and Stitch Fix, and will offer suggestions for other organizations to level up their DevOps game. https://www.meetup.com/SV-ELC/events/240087808/ Modern software-service models take advantage of the great benefits in having the same team both build the software as well as operate it in production -- "You Build It; You Run It" is the Amazon mantra. What does this mean in practice? Organizationally, it means small teams with well-defined areas of responsibility, directly aligned with the business. The teams are cross-functional, meaning that each team has all the skill sets it requires to do its job, while at the same time relying on other teams for supporting services, tools, and libraries. Process-wise, it means doubling down on practices like test-driven development and continuous delivery. Using continuous delivery practices, high-performing teams can and do release their applications and services multiple times a day. This enables them to iterate rapidly, experiment courageously, and fail more quickly. Culturally, it means end-to-end ownership. Each team owns its software end-to-end, from design to development to deployment to retirement. The same engineers who are responsible for the features are responsible for quality, performance, operations, and maintenance. This ownership puts incentives in the right place to encourage building maintainable, observable, and operable systems from the start. All these techniques and approaches are available to everyone, and practical examples in this talk will help other organizations on their journey.
DevOps - It's About How We Work
DevOps - It's About How We Work
Randy Shoup
From the DevOps Enterprise Summit 2015, this presentation covers hard-won lessons of transitioning an engineering organization to DevOps. See video at https://www.youtube.com/watch?v=6tREbJl8e_Y. Lessons: 1. Reorganize around Ownership 2. Lose the Ticket Culture 3. Replace Approvals with Code 4. Enforce a Service Mentality 5. Charge for Usage 6. Prioritize Quality 7. Start Investing in Testing 8. Actively Manage Technical Debt 9. Share On-Call Duties 10. Make Post-Mortems Truly Blameless DevOps is no longer just for Internet unicorns any more. Today many large enterprises are transitioning from the slow and siloed traditional IT approach to modern DevOps practices, and getting substantial improvements in agility, velocity, scalability, and efficiency. But this transition is not without its challenges and pitfalls, and those of us who have led this journey have the scar tissue to prove it. A successful transition to DevOps practices ultimately involves changes to organization, to culture, and to architecture. Organizationally, we want to create multi-skilled teams with end-to-end ownership and shared on-call responsibilities. Culturally, we want to prioritize solving problems and improving the product over closing tickets. Architecturally, we want to move to an infrastructure with independently testable and deployable components. The ten practical lessons outlined in this session synthesize the speaker’s experiences leading teams at eBay, Google, and KIXEYE, as well as from his former consulting practice.
Ten Lessons of the DevOps Transition
Ten Lessons of the DevOps Transition
Randy Shoup
From a talk at the SF CTO Summit 2017 (https://www.ctoconnection.com/summits/sf2017), these slides cover the speaker's experience at Stitch Fix with managing data in a microservices environment. Areas include: * Breaking up a monolithic database into services * Using events as a first-class part of your architecture * Sharing data among microservices * Handling "joins" among microservices * Simulating "transactions" among microservices using the Saga pattern
Managing Data in Microservices
Managing Data in Microservices
Randy Shoup
From a talk at GOTOChicago 2017, these slides discuss the speaker's experiences at Stitch Fix with * Organizational, Process, and Cultural prerequisites for being successful with Microservices: small teams, TDD / CD, DevOps * How to handle shared data when your data is split among microservices * How to handle "joins" across microservices * How to simulate "transactions" across microservices Slides link: https://gotochgo.com/3/sessions/79/slides Video link: https://gotochgo.com/3/sessions/79/video
Effective Microservices In a Data-centric World
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Anatomy of Three Incidents -- Commonalities and Lessons
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One Terrible Day at Google, and How It Made Us Better
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More Best Practices for Large-Scale Websites -- Lessons from eBay
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for Large-Scale Websites Lessons from eBay Randy Shoup eBay Chief Engineer Java One September 20, 2010
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Thank you! Randy
Shoup [email_address]
Download now