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Cloud Native Architecture Patterns Tutorial
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As presented at the 2017 O'Reilly Software Architecture Conference in New York City.
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Dev ops for z systems @ interconnect
Dev ops for z systems @ interconnect
Agile architectures in a modern cloud-native ecosystem
Agile architectures in a modern cloud-native ecosystem
Agile Architecture in a Modern Cloud-Native Ecosystem
Agile Architecture in a Modern Cloud-Native Ecosystem
DEVNET-1147 Energizing Your Career with Cloud Technologies
DEVNET-1147 Energizing Your Career with Cloud Technologies
Are you ready? Introduction to Cloud Computing and Windows Azure
Are you ready? Introduction to Cloud Computing and Windows Azure
SOLIDWORKS 2017 Launch
SOLIDWORKS 2017 Launch
Oracle Developer Meetup March 2018
Oracle Developer Meetup March 2018
SAP TechED 2015- Las Vegas. OEM Partners – Innovation Agenda: Internet of Thi...
SAP TechED 2015- Las Vegas. OEM Partners – Innovation Agenda: Internet of Thi...
SRE vs DevOps vs Cloud Native Preso
SRE vs DevOps vs Cloud Native Preso
MDEV40: Transform everyday business processes with Microsoft 365 platform tools
MDEV40: Transform everyday business processes with Microsoft 365 platform tools
Are You an Accidental or Intentional Architect?
Are You an Accidental or Intentional Architect?
Challenging The Role Of The Architect
Challenging The Role Of The Architect
Cloud lunchn learn_howtobecomeacloudarchitect_part1
Cloud lunchn learn_howtobecomeacloudarchitect_part1
SAP TechED 2015- Las Vegas. OEM Partners – Innovation Agenda: Database & Tech...
SAP TechED 2015- Las Vegas. OEM Partners – Innovation Agenda: Database & Tech...
At the Trailhead with Matt Stine
At the Trailhead with Matt Stine
Dan m royce cv 2nd jan 2016
Dan m royce cv 2nd jan 2016
Pattern driven Enterprise Architecture
Pattern driven Enterprise Architecture
Más de Matt Stine
All software architectures have to deal with stress. Its simply the way the world works! Stressors come from multiple directions, including changes in the marketplace, business models, and customer demand, as well as infrastructure failures, improper or unexpected inputs, and bugs. As software architects, one of our jobs is to create solutions that meet both business and quality requirements while appropriately handling stress. We typically approach stressors by trying to create solutions that are robust. Robust systems can continue functioning properly in the presence of internal and external challenges, but they also have one or more breaking points. When we pass a robust system's known threshold for a particular type of stress, it will fail. When a system encounters an unknown unknown challenge, it will usually not be robust! Recent years have seen new approaches, including resilient, antifragile, and evolutionary architectures. All of these approaches emphasize the notion of adapting to changing conditions in order to not only survive stress but sometimes to benefit from it. In this presentation, we'll examine the theory and practice behind these architectural approaches.
Architectures That Bend but Don't Break
Architectures That Bend but Don't Break
Matt Stine
Disruptive companies are approaching resiliency differently. Stop preventing mistakes. Embrace failure. Resilient architectures enhance observability, leverage resiliency patterns, and embrace chaos!
Resilient Architecture
Resilient Architecture
Matt Stine
A magical tour through the Industrial Revolution, Complex Adaptive Systems, and Turtles All the Way Down, with shout outs to Cloud Foundry, BOSH, and Spring Boot.
Cloud Foundry: The Best Place to Run Microservices
Cloud Foundry: The Best Place to Run Microservices
Matt Stine
As presented at ArchConf 2016 in San Diego, CA.
Reactive Fault Tolerant Programming with Hystrix and RxJava
Reactive Fault Tolerant Programming with Hystrix and RxJava
Matt Stine
As presented at SpringOne2GX 2015 in Washington, DC. Lattice is a cloud-native application platform that enables you to run your applications in containers like Docker, on your local machine via Vagrant. Lattice includes features like: Cluster scheduling HTTP load balancing Log aggregation Health management Lattice does this by packaging a subset of the components found in the Cloud Foundry elastic runtime. The result is an open, single-tenant environment suitable for rapid application development, similar to Kubernetes and Mesos Applications developed using Lattice should migrate unchanged to full Cloud Foundry deployments. Lattice can be used by Spring developers to spin up powerful micro-cloud environments on their desktops, and can be useful for developing and testing cloud-native application architectures. Lattice already has deep integration with Spring Cloud and Spring XD, and you’ll have the opportunity to see deep dives into both at this year’s SpringOne 2GX. This session will introduce the basics: Installing Lattice Lattice’s Architecture How Lattice Differs from Cloud Foundry How to Package and Run Your Spring Apps on Lattice
Lattice: A Cloud-Native Platform for Your Spring Applications
Lattice: A Cloud-Native Platform for Your Spring Applications
Matt Stine
Keynote on the DevOps Track at VMworld 2015
The Cloud Native Journey
The Cloud Native Journey
Matt Stine
Microservice architectures have generated quite a bit of hype in recent months, and practitioners across our industry have vigorously debated the definition, purpose, and effectiveness of these architectures. In this session, Matt Stine will cut through the Microservices hype and examine some very practical considerations: • Not an End in Themselves: Microservices are really all about helping us achieve continuous delivery • Systems over Services: Microservices are less about the services themselves and more about the systems we can assemble using them. Boilerplate patterns for configuration, integration, and fault tolerance are keys. • Operationalized Architecture: Microservices aren’t a free lunch. You have to pay for them with strong DevOps sauce. • It’s About the Data: Bounded contexts with API’s are great until you need to ask really big questions. How do we effectively wrangle all of the data at once? Along the way, we’ll see how open source technology efforts such as Cloud Foundry, Spring Cloud, Netflix OSS, Spring XD, and Hadoop can help us with many of these considerations.
To Microservices and Beyond
To Microservices and Beyond
Matt Stine
As presented at Cloud Foundry Summit 2015 in Santa Clara, CA. Now that you have Cloud Foundry, what are you going to do with it? This presentation will show using Spring Cloud on Cloud Foundry to quickly leverage common microservice patterns, including distributed configuration management, service discovery, intelligent routing, load balancing, and fault tolerance. Using Spring Cloud on Cloud Foundry, developers can take advantage of the cloud native microservice architectures pioneered by those building the web at places like Twitter, LinkedIn, and Netflix. In many cases they can do so running the same code with Spring Cloud wrapping the same battle-tested open source components those companies are running in production.
Deploying Microservices to Cloud Foundry
Deploying Microservices to Cloud Foundry
Matt Stine
The Diego project was originally conceived as a rewrite of the Droplet Execution Agent (DEA) component of the Cloud Foundry elastic runtime, the component responsible for scheduling, starting, stopping, and scaling applications in Linux containers. Since Diego’s inception, this development effort has been guided by core principles such as simplicity, loose coupling, high cohesion, separation of concerns, and seeking the right abstractions. These guiding principles have resulted in an extremely modular platform that provides a welcome home for your microservices. Microservices are loosely coupled, independently deployable applications whose individual scopes are guided by the concept of bounded contexts. Martin Fowler has described well the operational maturity required to employ microservices architectures, memorably stating “you must be this tall to ride the microservices ride,” with the capability to do rapid deployment and basic monitoring. Diego’s opinionated automation and health checking provide a great platform for operating microservices. At the same time, this platform has clean abstractions that support useful extension points. In this presentation we'll explore the Diego architecture, highlight Diego’s role as the new core of the Cloud Foundry elastic runtime, and illustrated how Diego is being used as a component in other platforms such as Lattice and Spring XD. We'll also look at how Diego's abstractions provided an easy road to adding alternative backends for other platforms like core Windows/.NET support to Cloud Foundry. Finally, we'll discover how Diego's abstractions are providing the Spring Cloud project with a clear road to providing tighter integration between the Netflix OSS stack of services and Cloud Foundry, with a goal of enabling support for polyglot cloud-native application architectures.
Cloud Foundry Diego: Modular and Extensible Substructure for Microservices
Cloud Foundry Diego: Modular and Extensible Substructure for Microservices
Matt Stine
As presented at: http://www.meetup.com/Pivotal-Open-Source-Hub/events/219264521/ With the advent of microservice and cloud-native application architectures, building distributed systems is becoming increasingly common for the enterprise Java developer. Fortunately many of the innovators in the space, including Twitter, LinkedIn, and Netflix, have embraced the JVM as they’ve built increasingly complex systems, with Netflix open-sourcing much of its toolkit for constructing these systems at NetflixOSS. Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems. Many of these patterns are provided via wrapping the battle-tested components found at NetflixOSS.
Building Distributed Systems with Netflix OSS and Spring Cloud
Building Distributed Systems with Netflix OSS and Spring Cloud
Matt Stine
A walk-through of signing up for Pivotal Web Services for the hands-on portion of the Pivotal Cloud Platform Roadshow!
Pivotal Cloud Platform Roadshow: Sign Up for Pivotal Web Services
Pivotal Cloud Platform Roadshow: Sign Up for Pivotal Web Services
Matt Stine
As presented at OSCON 2014. The Go programming language has emerged as a favorite tool of DevOps and cloud practitioners alike. In many ways, Go is more famous for what it doesn’t include than what it does, and co-author Rob Pike has said that Go represents a “less is more” approach to language design. The Cloud Foundry engineering teams have steadily increased their use of Go for building components, starting with the Router, and progressing through Loggregator, the CLI, and more recently the Health Manager. As a “recovering-Java-developer-turned-DevOps-junkie” focused on helping our customers and community succeed with Cloud Foundry, it became very clear to me that I needed to add Go to my knowledge portfolio. This talk will introduce Go and its distinctives to Java developers looking to add Go to their toolkits. We’ll cover Go vs. Java in terms of: * type systems * modularity * programming idioms * object-oriented constructs * concurrency
A Recovering Java Developer Learns to Go
A Recovering Java Developer Learns to Go
Matt Stine
Blast from the past that looks an awful lot like microservices...
Agile Development with OSGi
Agile Development with OSGi
Matt Stine
As delivered to the Cloud Foundry Summit 2014 in San Francisco, CA: With businesses built around software now disrupting multiple industries that appeared to have stable leaders, the need has emerged for enterprises to create "software factories" built around the following principles: * Streaming customer feedback directly into rapid, iterative cycles of application development * Horizontally scaling applications to meet user demand * Compatibility with an enormous diversity of clients, with mobility (smartphones, tablets, etc.) taking the lead * Continuous delivery of value, shrinking the cycle time from concept to cash Infrastructure has taken the lead in adapting to meet these needs with the move to the cloud, and Platform as a Service (PaaS) has raised the level of abstraction to a focus on an ecosystem of applications and services. However, most applications are still developed as if we're living in the previous generation of both business and infrastructure: the monolithic application. Microservices - small, loosely coupled applications that follow the Unix philosophy of "doing one thing well" - represent the application development side of enabling rapid, iterative development, horizontal scale, polyglot clients, and continuous delivery. They also enable us to scale application development and eliminate long term commitments to a single technology stack. While microservices are simple, they are certainly not easy. It's recently been said that "microservices are not a free lunch". Interestingly enough, if you look at the concerns expressed here about microservices, you'll find that they are exactly the challenges that a PaaS is intended to address. So while microservices do not necessarily imply cloud (and vice versa), there is in fact a symbiotic relationship between the two, with each approach somehow compensating for the limitations of the other, much like the practices of eXtreme Programming.
Cloud Foundry and Microservices: A Mutualistic Symbiotic Relationship
Cloud Foundry and Microservices: A Mutualistic Symbiotic Relationship
Matt Stine
Why PaaS in general, and Cloud Foundry in particular, provides the necessary tools to change the way we develop and deploy applications.
It's the End of the Cloud as We Know It
It's the End of the Cloud as We Know It
Matt Stine
Vert.x: This ain't your Dad's Node! (As presented at http://sfjava.org on 10/9/2012)
Vert.x
Vert.x
Matt Stine
As given at the St. Louis Java User Group on August 9, 2012.
Functional solid
Functional solid
Matt Stine
As presented at Memphis JUG, February 15, 2011.
The Seven Wastes of Software Development
The Seven Wastes of Software Development
Matt Stine
Information Sciences Solutions to Core Facility Problems at St. Jude Children...
Information Sciences Solutions to Core Facility Problems at St. Jude Children...
Matt Stine
My third Toastmasters Competent Communication project.
Achieve Your Goals
Achieve Your Goals
Matt Stine
Más de Matt Stine
(20)
Architectures That Bend but Don't Break
Architectures That Bend but Don't Break
Resilient Architecture
Resilient Architecture
Cloud Foundry: The Best Place to Run Microservices
Cloud Foundry: The Best Place to Run Microservices
Reactive Fault Tolerant Programming with Hystrix and RxJava
Reactive Fault Tolerant Programming with Hystrix and RxJava
Lattice: A Cloud-Native Platform for Your Spring Applications
Lattice: A Cloud-Native Platform for Your Spring Applications
The Cloud Native Journey
The Cloud Native Journey
To Microservices and Beyond
To Microservices and Beyond
Deploying Microservices to Cloud Foundry
Deploying Microservices to Cloud Foundry
Cloud Foundry Diego: Modular and Extensible Substructure for Microservices
Cloud Foundry Diego: Modular and Extensible Substructure for Microservices
Building Distributed Systems with Netflix OSS and Spring Cloud
Building Distributed Systems with Netflix OSS and Spring Cloud
Pivotal Cloud Platform Roadshow: Sign Up for Pivotal Web Services
Pivotal Cloud Platform Roadshow: Sign Up for Pivotal Web Services
A Recovering Java Developer Learns to Go
A Recovering Java Developer Learns to Go
Agile Development with OSGi
Agile Development with OSGi
Cloud Foundry and Microservices: A Mutualistic Symbiotic Relationship
Cloud Foundry and Microservices: A Mutualistic Symbiotic Relationship
It's the End of the Cloud as We Know It
It's the End of the Cloud as We Know It
Vert.x
Vert.x
Functional solid
Functional solid
The Seven Wastes of Software Development
The Seven Wastes of Software Development
Information Sciences Solutions to Core Facility Problems at St. Jude Children...
Information Sciences Solutions to Core Facility Problems at St. Jude Children...
Achieve Your Goals
Achieve Your Goals
Último
Craft an AI & Machine Learning Pitch with our Editable Professional PowerPoint Template. Ignite your AI & Machine Learning pitch with our cutting-edge PowerPoint template tailored for the industry. Perfect for AI conferences, investor presentations, sales pitches to tech-focused companies, training sessions, and educational programs. - 20+ editable slides: Get a variety of options to choose from for your presentation. - Time-saving solution: Download, replace text/images with a few clicks. - User-friendly customization: Easy to use and personalize. - Modern and attractive design: Captivating visuals, sleek layout. - Tailored to your requirements: Fully alterable for customization. - Well-organized slides: Complete control over content. - Thematic specificity: Reflects healthcare industry with relevant graphics. - Showcase your business idea: Communicate value proposition effectively.
AI & Machine Learning Presentation Template
AI & Machine Learning Presentation Template
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This presentation covers the following topics: What is logging? The purpose of logging: Debugging The purpose of logging: Security The purpose of logging: Stats & analytics Traditional logging Traditional logging: Advantages Traditional logging: Disadvantages The solution: Large-scale logging Large-scale logging: Core principles Large-scale logging: Solution types Large-scale logging: Cloud vs on-prem Large-scale logging: Operational complexity Large-scale logging: Security Large-scale logging: Costs Large-scale logging: On-prem comparison - Elasticsearch - Grafana Loki - VictoriaLogs On-prem comparison: Setup and operation On-prem comparison: Costs On-prem comparison: Full-text search support On-prem comparison: How to efficiently query 100TB of logs? On-prem comparison: Integration with CLI tools VictoriaLogs for large-scale logging VictoriaLogs demo instance - Ingestion rate: 3600 messages / minute - The number of log messages: 1.1 billion - Uncompressed log messages’ size: 1.5TB - Compressed log messages’ size: 23GB - Compression ratio: 47x - Memory usage: 150MB VictoriaLogs CLI integration demo - Which errors have occurred in all the apps during the last hour? - How many errors have occurred during the last hour? - Which apps generated the most of errors during the last hour? - The number of per-minute errors for the last 10 minutes - Status codes for the last hour - Non-200 status codes for the last week - Top client IPs for the last 4 weeks with 404 and 500 response status codes - Per-month stats for the given IP across all the logs Large-scale logging solution MUST provide excellent CLI integration VictoriaLogs: (temporary) drawbacks VictoriaLogs: Recap - Easy to setup and operate - The lowest RAM usage and disk space usage (up to 30x less than Elasticsearch and Grafana Loki) - Fast full-text search - Excellent integration with traditional command-line tools for log analysis - Accepts logs from popular log shippers (Filebeat, Fluentbit, Logstash, Vector, Promtail, Grafana Agent) - Open source and free to use!
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
Large-scale Logging Made Easy: Meetup at Deutsche Bank 2024
VictoriaMetrics
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Conference: Engage2024 in Antwerp Type: Workshop Speakers: Florian Vogler, Henning Kunz, Christoph Adler Title: Navigating the Future with The Hitchhiker's Guide to Notes and Domino 14 Abstract: Embark on an exhilarating journey with industry trailblazers Florian Vogler, Henning Kunz, and Christoph Adler in this not-to-be-missed workshop at the forefront of the tech universe. Get ready for a thrilling kick-off as we navigate the current state of the HCL universe, setting the stage for an exploration of the groundbreaking Notes and Domino 14. Discover the latest enhancements and revolutionary features that will redefine your experience. In this interactive session, unlock a treasure trove of tips and tricks to elevate your utilization of version 14, both with and without the game-changing panagenda MarvelClient. Brace yourself for also diving into Nomad, Nomad Web, and VoltMX, expanding your horizons in the expansive HCL landscape. Be a part of this exclusive opportunity to stay ahead in the ever-evolving world of HCL technologies. Your journey to mastering Notes and Domino 14 begins here. And remember, in the spirit of intergalactic exploration, don't forget to bring your towel!
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
W01_panagenda_Navigating-the-Future-with-The-Hitchhikers-Guide-to-Notes-and-D...
panagenda
This book is written based on the author's over 10 years of experience in Digital Marketing and IT. It aims to provide readers with insights into the benefits of marketing technology (MarTech), its categories, how to choose the right tools, and a summary of interesting trends in each year
MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...
MarTech Trend 2024 Book : Marketing Technology Trends (2024 Edition) How Data...
Jittipong Loespradit
Investing in AI transformation today The modern business advantage: Uncovering deep insights with AI Organizations around the world have come to recognize AI as the transformative technology that enables them to gain real business advantage. AI’s ability to organize vast quantities of data allows those who implement it to uncover deep business insights, augment human expertise, drive operational efficiency, transform their products, and better serve their customers
Microsoft AI Transformation Partner Playbook.pdf
Microsoft AI Transformation Partner Playbook.pdf
Willy Marroquin (WillyDevNET)
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In today's dynamic e-commerce landscape, the payment gateway emerges as a linchpin, ensuring smooth and secure transactions between buyers and sellers. In this discourse, we delve into the meticulous process of devising test cases tailored for scrutinizing payment gateways. Crafting precise test cases for payment gateways is a quintessential responsibility for testers operating within the service industry. This article meticulously explores pivotal scenarios integral to how to test payment gateways, coupled with essential guidelines for drafting effective test cases.
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kalichargn70th171
The fast-paced world of Agile development just got a turbo boost! Dive into this engaging talk on "Innovation at Speed: ChatGPT & the AI Transformation in Agile Development." Over the last few months, AI, including notable tools like Google Bard and Microsoft Co-Pilot, has been leveraged to supercharge Agile workflows. In this session, attendees will get an overview of the current AI landscape and its impact on development. They will learn why AI is the game-changer needed to embrace in the Agile lifecycle, offering that elusive X factor to multiply productivity. Real-world examples will be presented, and the challenges of implementing AI tools like ChatGPT within corporate environments will be discussed.
Harnessing ChatGPT - Elevating Productivity in Today's Agile Environment
Harnessing ChatGPT - Elevating Productivity in Today's Agile Environment
VictorSzoltysek
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WSO2CON 2024 - Cloud Native Middleware: Domain-Driven Design, Cell-Based Architecture, Service Mesh, and More
WSO2CON 2024 - Cloud Native Middleware: Domain-Driven Design, Cell-Based Arch...
WSO2CON 2024 - Cloud Native Middleware: Domain-Driven Design, Cell-Based Arch...
WSO2
Announcing the new 2.0 version of Codolex, the low code development solution for Delphi developers. This new version includes many enhancements and fixes, as well as a very exciting new pricing model. Check out the slides to learn more about the benefits of Codolex and why you need to elevate your Delphi development today.
Announcing Codolex 2.0 from GDK Software
Announcing Codolex 2.0 from GDK Software
Jim McKeeth
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We specialize in Psychic Readings, Psychic Love Spells, Binding Love Spells, Obsession Spells, Voodoo Spells, Lottery Spells, Marriage Spells, Black Magic Spells, Palm Readings & much more. Are you depressed? We perform this come-to-me love spell that works instantly with the aim of bringing back the victim to the person performing the magic. Have you lost your lover? We perform this come-to-me love spell that works instantly with the aim of bringing back the victim to the person performing the magic. Have you lost your lover? Do u need to solve any relationship problem? Contact the powerful spells caster chief kule with love spells that work overnight and love spells that really work. Have you found yourself infatuated with a special someone you think could be the one? Are you looking for a spell to provide them with a nudge in the right direction? Or maybe the spell you cast didn’t achieve the results you were hoping for? Whether you’re new or versed in the ways of spell casting, we’re here to help. Today we’re going to provide you with a detailed guide on the types of love spells to cast. Not only that but there’s something for those who wish to find outside advice from more advanced spell casters. We’re also going to provide you with the top sites available to help you with your dilemma. Let’s begin our journey by educating ourselves on love magic and what a real love caster looks like. Love Magic and Love Casters Love magic made its first appearance back in Ancient Egypt and has been an active practice since. This type of magic is a branch of traditional magic and can be practiced in various ways. Typically the more common use of love magic is through the work of spells, but other methods look like Charms Rituals-LOVE Potions-Dolls and even Amulets If you are interested in becoming a love caster, be prepared for what’s to come. A genuine love caster knows that the art of love casting is no easy feat and shouldn’t be done casually. You should know that not only does it require you to be gifted spiritually, but you must be ready to serve others. Someone who is considered a real love caster has experience in all manner of spells, no matter the difficulty. Training yourself in attraction, commitment, and marriage spells is an excellent place to start. But this by no means will make you a professional. Practice your craft and expand your knowledge; understand that you will possess the ability to help others in time truly. Types of Love Spells What better way to start broadening your experiences with love spells than by learning more about them? These spells work like just about any other spell. Simply apply your intention, use a medium (sigils, mantras, candles, or charm bags), and top it off with establishing the belief that you will receive what you want. So what kind of spells are available and which ones suit your needs the best? Let’s take a look at the many options you have at your disposal.
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Looking for an efficient way to manage your finances? Look no further than our money management app. With easy-to-use features, you can track your expenses, create budgets, and monitor your savings goals all in one place. Our app provides real-time updates on your spending habits and helps you make smarter financial decisions. Take control of your finances today with our user-friendly money management app.
Right Money Management App For Your Financial Goals
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WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
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WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
Cloud Native Architecture Patterns Tutorial
1.
Cloud Native Architecture Patterns Tutorial 2017 O'Reilly Software Architecture Conference - NYC Matt Stine ( )@mstine http://www.mattstine.com
2.
Introduction
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Your Instructor 17 years in the Enterprise IT industry 5 years as a Cloud Platform and Application Architect Frequent speaker on the conference circuit Host of the Software Architecture Radio podcast
4.
Your Instructor http://www.oreilly.com/programming/free/migrating-cloud-native-application- architectures.csp
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Workshop Components Lecture Socratic Q&A Sessions Architecture Kata Sessions
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Agenda Class Introduction Cloud Native Architecture Fundamentals 1:30 - 2:15 PM Socratic Q&A Session 2:15 - 2:30 PM Cloud Native Architecture Patterns 2:30 - 3:30 PM Socratic Q&A Session 3:30 - 3:45 PM
7.
Agenda Cloud Native Architecture Katas - Setup 3:45 - 4:00 PM Cloud Native Architecture Katas - Create 4:00 - 4:30 PM Cloud Native Architecture Katas - Present 4:30 - 5:00 PM
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The Business Drivers for Architectural Change
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Agility Disruption
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Agility - Mark Andressen Software is eating the world.
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Agility Disruptive Characteristics Software is primary engagement model New and innovative business models Fast and frequent deliveries Hypothesis-driven development
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Agility The Waterscrumfall
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Agility Waterscrumfall Consequences Slow Delivery Large Batch Sizes Infrequent Feedback Increased Waste
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Agility Digital Transformation
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Resiliency Disruptive companies are also approaching resiliency differently.
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Resiliency Stop trying to prevent mistakes.
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Resiliency Embrace failure.
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Resiliency From MTBF to MTTR
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Resiliency We need better tools and techniques.
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Resiliency Visibility
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Resiliency Fault Isolation
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Resiliency Fault Tolerance
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Resiliency Scalability
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Resiliency Automated Recovery
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A High-Level Overview of DevOps and Continuous Delivery
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DevOps THE GREAT CONFLICT
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DevOps My Definition: DevOps represents the idea of tearing down organizational silos and building shared toolsets, vocabularies, and communication structures in service of a culture focused on a single goal: delivering value rapidly and safely.
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DevOps THE THREE WAYS
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DevOps
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DevOps The First Way: Flow
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DevOps The Second Way: Feedback
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DevOps The Third Way: Continual Learning and Experimentation
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Continuous Delivery My Definition: Technically supporting the concept to cash lifecycle by proving every source code commit to be deployable to production in an automated fashion.
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Continuous Delivery Ingredients Configuration Management Continuous Integration Automated Testing
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Continuous Delivery CI Developer Workflow
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Continuous Delivery The Deployment Pipeline
37.
The Unique Characteristics of Cloud Infrastructure
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Cloud Infrastructure My Definition: Any computing environment in which computing, networking, and storage resources can be provisioned and released elastically in an on-demand, self-service manner.
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Cloud Infrastructure Deployment Models Public Amazon Web Services Google Cloud Platform Microsoft Azure Private VMware vSphere OpenStack Community Hybrid
40.
Cloud Infrastructure Service Models The *aaS Pyramid
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Cloud Infrastructure API Driven Automation Audit Authorization Accounting
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Cloud Infrastructure Speed If you need a component, create it! Load Balancers Databases (SQL/NoSQL) Message Queues Private Networks Storage Volumes
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Cloud Infrastructure Speed Can eliminate: Ticket Systems Approval Processes Waiting Queues Configuration Errors
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Cloud Infrastructure Speed As fast as you can design the system architecture that you need, you can usually provision and begin using it.
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Cloud Infrastructure Elastic Goodbye Capacity Planning!
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Cloud Infrastructure Elastic Capacity Planning Peer into the crystal ball... "What's the most capacity we'll need?" Guess incorrectly... Blow available capacity on Black Friday Hundreds of idle CPUs
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Cloud Infrastructure Elastic As demand increases, we simply expand capacity by provisioning more resources to service that demand.
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Cloud Infrastructure Elastic As demand decreases, we simply contract capacity by returning resources to the pool.
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Cloud Native Architecture Concepts
50.
Architecting for DevOps Modularity
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Architecting for DevOps Think About the Three Ways We want a quantum of this experience.
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Architecting for DevOps Decomposition Strategies What's yours? Bounded Contexts Value Streams Single Responsibility Princple Failure Domains Anti-Corruption Layers
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Architecting for DevOps Strategies are not mutually exclusive!
54.
Architecting for DevOps So What About Modularity? Loose Coupling High Cohesion Encapsulation Well-Defined Interface
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Architecting for DevOps Gratuitous Nod to Microservices!
56.
Architecting for DevOps If a microservice isn't giving you Three Ways Value, you probably don't need it.
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Architecting for DevOps Conway's Law Any organization that designs a system (defined broadly) will produce a design whose structure is a copy of the organization's communication structure.
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Architecting for DevOps If your architectural and and organizational decomposition strategies don't align well, then CONWAY WILL FIGHT YOU!
59.
Architecting for DevOps Observability
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Architecting for DevOps Think About the Three Ways We need feedback to create a safer system of work and to (in)validate our hypotheses.
61.
Architecting for DevOps See Failure When It Happens
62.
Architecting for DevOps Measure Everything
63.
Architecting for DevOps What is Normal? Values Rates of Change Mean? P95/99/99.9?
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Architecting for DevOps What is Normal? http://bravenewgeek.com/everything-you-know-about-latency-is-wrong
65.
Architecting for DevOps
66.
Architecting for DevOps
67.
Architecting for DevOps This is an Architectural Responsibility Architecture can make observability harder! Overhead Concerns Tools don't know your business.
68.
Architecting for Continuous Delivery NOTE: Architecting for DevOps aids in Continuous Delivery!
69.
Architecting for Continuous Delivery Adding some layers...
70.
Architecting for Continuous Delivery Think About Full Lifecycle Architecture
71.
Architecting for Continuous Delivery Neal Ford Architecture is abstract until it is operationalized.
72.
Architecting for Continuous Delivery Architectures that aren't operationalized exist only on whiteboards!
73.
Architecting for Continuous Delivery Deployability Testability We'll examine these qualities by asking questions of our architectures.
74.
Architecting for Continuous Delivery Deployability
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Architecting for Continuous Delivery Have you automated ALL of your deployment tasks?
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Architecting for Continuous Delivery Can you transform a brand new deployment environment into your running architecture without manual work?
77.
Architecting for Continuous Delivery Can you vary configuration across environments without rebuilding code?
78.
Architecting for Continuous Delivery Do you deploy like this EVERYWHERE?
79.
Architecting for Continuous Delivery Can you do this without your users noticing?
80.
Architecting for Continuous Delivery Testability
81.
Architecting for Continuous Delivery Have you automated ALL testing tasks that you possibly can?
82.
Architecting for Continuous Delivery Do you have to deploy all the things to test anything?
83.
Architecting for Continuous Delivery If testing is an experiment, can you control everything except your experimental variable?
84.
Architecting for Continuous Delivery Can you run the same tests against any environment (including production)?
85.
Architecting for Continuous Delivery Can you verify that you continue to meet your contractual obligations?
86.
Architecting for Cloud Infrastructure Cloud Capabilities API-driven Speed Elasticity Geography Specialized Services
87.
Architecting for Cloud Infrastructure Exploiting the capabilities of Cloud can enhance our ability to practice DevOps and Continuous Delivery!
88.
Architecting for Cloud Infrastructure Disposability Replaceability We'll examine these qualities by asking questions of our architectures.
89.
Architecting for Cloud Infrastructure Disposable adjective 1. designed for or capable of being thrown away after being used or used up: disposable plastic spoons; a disposable cigarette lighter. 2. free for use; available: Every disposable vehicle was sent. http://www.dictionary.com/browse/disposable
90.
Architecting for Cloud Infrastructure Replace verb 1. to assume the former role, position, or function of; substitute for (a person or thing): Electricity has replaced gas in lighting. 2. to provide a substitute or equivalent in the place of: to replace a broken dish. http://www.dictionary.com/browse/replace
91.
Architecting for Cloud Infrastructure Consequence noun 1. an act or instance of following something as an effect, result, or outcome. 2. importance or significance: a matter of no consequence. http://www.dictionary.com/browse/consequence
92.
Architecting for Cloud Infrastructure Disposability Can I destroy a service instance at any time without consequence?
93.
Architecting for Cloud Infrastructure Disposability Can I repave the entire architecture at any time without consequence?
94.
Architecting for Cloud Infrastructure Disposability Can I respond to changes in demand by adding or removing instances of a service without consequence?
95.
Architecting for Cloud Infrastructure Replaceability Can I replace a sick service instance with a brand new copy without consequence?
96.
Architecting for Cloud Infrastructure Replaceability Can I route traffic to any available service instance without consequence?
97.
Architecting for Cloud Infrastructure Replaceability If I lose an AZ or Region, can I route traffic to another without consequence?
98.
Architecting for Cloud Infrastructure Replaceability Can I swap between multiple implementations of the same service contract without consequence?
99.
Architecting for Cloud Infrastructure Replaceability Can I swap between multiple running versions of a service without consequence?
100.
Architecting for Cloud Infrastructure These are Architectural Responsibilities Architecture can make disposability impossible. Architecture can make replaceability impossible. Architecture must take charge of removing the consequences of disposing and replacing service instances.
101.
Summary Architectural Decision Making Can: Enhance or Detract from Our Ability to Practice DevOps Enhance or Detract from Our Ability to Practice Continuous Delivery Exploit or Waste the Characteristics of Cloud Infrastructure
102.
Summary We could have called this "DevOps Native" or "Continuous Delivery Native" Architecture!
103.
Summary DevOps Native Architecture
104.
Summary Balancing: Agility and Resilience
105.
Summary Supported By: DevOps and Continuous Delivery
106.
Summary On a Foundation of: Cloud and Architecture
107.
Socratic Q&A
108.
Cloud Native Architecture Patterns
109.
Overview Pattern-Oriented Software Architecture, Volume 1: A System of Patterns Patterns should...be described uniformly. This helps us to compare one pattern with another...
110.
Overview Design Patterns: Elements of Reusable Object-Oriented Software We describe design patterns using a consistent format...making design patterns easier to learn, compare, and use.
111.
Overview Brick and Mortar Pattern Template Context The basic situation in which we find ourselves working. Problem Presents the problem as a system forces which must be balanced. Solution Describes the components that make up the general solution, how they relate to one another, and their runtime interactions.
112.
Overview Brick and Mortar Language Structure Brick Patterns Patterns for constructing individual (micro)services. Mortar Patterns Patterns for composing bricks into complete distributed systems.
113.
Overview Brick Patterns Externalization Patterns Structural patterns for creating deployable, disposable, and replaceable bricks. Externalized Configuration Externalized State Externalized Channels Runtime Patterns Behavioral patterns for creating deployable, replaceable, and observable bricks. Runtime Reconfiguration Concurrent Execution Brick Telemetry
114.
Overview Mortar Patterns Distributed Systems Patterns Composition patterns addressing common distributed systems challenges. Service Discovery Edge Gateway Fault Tolerance Integration Patterns Composition patterns addressing integration and observability challenges. Event-Driven System Contract Management Integration Telemetry
115.
Overview Brick and Mortar Language Relationships
116.
Brick Patterns Externalized Configuration Externalized State Brick Telemetry
117.
Externalized Configuration
118.
Context and Problem Context An application's configuration will vary independently from its code throughout its lifecycle.
119.
Context and Problem Problem Traditional techniques for managing configuration tightly couple these two orthogonal concepts.
120.
Context and Problem Forces Different environments will have different configuration settings: resource handles to the database (e.g. a JDBC URL) credentials to external services (e.g. Amazon S3) per-deploy values such as the canonical hostname (e.g. blog-test.example.com vs. blog- prod.example.com) features that are toggled on or off
121.
Context and Problem Forces Configuration is often bundled within deployment artifacts (e.g. Java properties files). Build processes often modify configuration based on arguments. The Deployment Pipeline should only build each deployment artifact once, and deploy the same artifact to multiple environments.
122.
LIVE ARCHITECTURE!
123.
Externalized State
124.
Context and Problem Context Disposability and Replaceability require the elimination of "snowflake deployments" from the architecture.
125.
Context and Problem Problem Traditional state management techniques prevent us from achieving "phoenix deployments."
126.
Context and Problem Forces Early web architectures emphasized server-side state management: Fat Clients to Thin Clients Vertically Scaled Cache Management Stateful Scaffolding on Stateless Protocol (HTTP)
127.
Context and Problem Forces Cloud Infrastructure: Resource Limited Horizontal Scale Limited Load Balancer Support for Sessions Limited (No) Support for Persistent Local Disk
128.
LIVE ARCHITECTURE!
129.
Brick Telemetry
130.
Context and Problem Context Realizing the DevOps Way of Feedback requires that we have visibility into both the business value and technical behavior generated by our services.
131.
Context and Problem Problem Common approaches to service visibility fall short of the architectural qualities that we need.
132.
Context and Problem Forces Visibility is often accomplished via post facto application of agent-based monitoring tools. Agent-based monitoring tools don't understand business value. Determining an application's health often requires complex logic. Traceability of an application is difficult (or impossible) to accomplish with OTS solutions.
133.
LIVE ARCHITECTURE!
134.
Mortar Patterns Service Discovery Edge Gateway Fault Tolerance
135.
Service Discovery
136.
Context and Problem Context Decomposition of architecture into services leads to increasingly more distributed systems.
137.
Context and Problem Problem As systems become distributed, and as service instance lifecycles become more dynamic and independent, location of and communication with dependencies becomes more challenging.
138.
Context and Problem Forces Cloud platforms often assign auto-generated, internal hostnames or private IP's to service instances. As services are scaled and unhealthy instances are replaced, the addresses of a service's instances are constantly changing. Binding a service to anything other than logical names for its dependencies leads to friction in the architectural lifecycle.
139.
Context and Problem Forces Applying Concurrent Execution is made more difficult (or impossible) when binding services to fixed addresses for their dependencies. We may want to remove a service instance from the available pool but keep it running to troubleshoot a problem.
140.
LIVE ARCHITECTURE!
141.
Edge Gateway
142.
Context and Problem Context Decomposed architectures must always be recomposed. This recomposition often happens within the user interface layer of an application.
143.
Context and Problem Problem Recomposing an architecture within the User Interface layer presents significant complexities that can lead to decreased agility and degraded user experience.
144.
Context and Problem Forces Systems often must support multiple user experience options (web/mobile/AVR). Recomposing architectures as the UI layer can require exposing the architecture to the public network. API needs for a mobile device are often quite different from a web UI.
145.
Context and Problem Forces Exposing a network graph to mobile devices can increase latency, increase data usage, and degrade battery life. UI platforms may not support the integration architecture used for all services. Native apps often have longer upgrade cycles. Recomposing the architecture there can lead to friction in the architectural lifecycle.
146.
LIVE ARCHITECTURE!
147.
Fault Tolerance
148.
Context and Problem Context In order to accomplish its assigned tasks, each brick will need to communicate with other bricks, and with external systems, to which we'll collectively refer as dependencies.
149.
Context and Problem Problem When a brick's dependencies become unhealthy, unreachable, or slower than normal to respond, that brick's own performance is degraded, and such degredation can potentially cascade across the entire architecture.
150.
Context and Problem Forces The network is not reliable. Latency is non-zero and unpredictable. Service availability is a product of its dependencies' availabilities.
151.
Context and Problem Forces Failures can be transient. Failures can cascade. An incorrect or stale response is often preferable to no response.
152.
LIVE ARCHITECTURE!
153.
Socratic Q&A
154.
Cloud Native Architecture Katas Setup
155.
What are Architecture Katas? Take me to the rules!
156.
To Cloud Native Add the following to your requirements: Day 1 as a company we're agreeing to guide ourselves by DevOps principles and practice Continuous Delivery. We have no infrastructure; we'll use one or more public cloud providers to deliver our software. Think deeply about your decomposition strategy and what advantages it will bring you. Use the CNA Patterns you know so far in order to enable your architectures to these ends.
157.
Kata Choices http://bit.ly/cna-kata-choices
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