An edge gateway is an essential piece of infrastructure for large scale cloud based services. This presentation details the purpose, benefits and use cases for an edge gateway to provide security, traffic management and cloud cross region resiliency. How a gateway can be used to enhance continuous deployment, and help testing of new service versions and get service insights and more are discussed. Philosophical and architectural approaches to what belongs in a gateway vs what should be in services will be discussed. Real examples of how gateway services, built on top of Netflix's Open source project, Zuul, are used in front of nearly all of Netflix's consumer facing traffic will show how gateway infrastructure is used in real highly available, massive scale services.
An edge gateway is an essential piece of infrastructure for large scale cloud based services. This presentation details the purpose, benefits and use cases for an edge gateway to provide security, traffic management and cloud cross region resiliency. How a gateway can be used to enhance continuous deployment, and help testing of new service versions and get service insights and more are discussed. Philosophical and architectural approaches to what belongs in a gateway vs what should be in services will be discussed. Real examples of how gateway services are used in front of nearly all of Netflix's consumer facing traffic will show how gateway infrastructure is used in real highly available, massive scale services.
Scaling Push Messaging for Millions of Netflix DevicesSusheel Aroskar
This document discusses scaling push messaging for millions of Netflix devices. It covers building a push architecture using Zuul servers, operating the push servers, and best practices for auto-scaling the push cluster. Key components include using a push registry like Dynomite to track client connections, Kafka queues to process messages asynchronously, and auto-scaling the server fleet based on open connections.
In this session customers will learn how to leverage the identity and authorisation, network security and secrets management features of the wider AWS platform for their containers. We will also show you how to scan container images for vulnerabilities as part of your CI/CD pipeline.
Speaker: Marcus Santos, Solutions Architect, AWS
Flowable Business Processing from Kafka Events Flowable
Slides of the Presentation "Flowable Business Processing from Kafka Events" given by Joram Barrez (Software Architect at Flowable) and Tijs Rademakers (VP of Engineering at Flowable) at DevoXX Belgium, 04.11.2019 - 06.11.2019.
Microservices Architectures: Become a Unicorn like Netflix, Twitter and Hailogjuljo
Full day workshop about Microservices Architectures, from the basis to advanced topics like Service Discovery, Load Balancing, Fault Tolerance and Centralized Logging.
Many technologies are involved, like Spring Cloud Netflix, Docker, Cloud Foundry and ELK.
A separate deck describes all the lab exercises.
Behind the Scenes: Exploring the AWS Global Network (NET305) - AWS re:Invent ...Amazon Web Services
The AWS Global Network provides a secure, highly available, and high- performance infrastructure for customers. In this session, we walk through the architecture of various parts of the AWS network such as Availability Zones, AWS Regions, our Global Network connecting AWS Regions to each other and our Edge Network which provides Internet connectivity. We explain how AWS services such as AWS Direct Connect and Amazon CloudFront integrate with our Global Network to provide the best experience for our customers. We also dive into how the AWS Global Network connects to the rest of the Internet through peering at a global scale. If you are curious about how AWS network infrastructure can support large-scale cat photo distribution or how Internet routing works, this session answers those questions. Please join us for a speaker meet-and-greet following this session at the Speaker Lounge (ARIA East, Level 1, Willow Lounge). The meet-and-greet starts 15 minutes after the session and runs for half an hour.
CI CD Pipeline Using Jenkins | Continuous Integration and Deployment | DevOps...Edureka!
** DevOps Training: https://www.edureka.co/devops **
This CI CD Pipeline tutorial explains the concepts of Continuous Integration, Continuous Delivery & Deployment, its benefits, and its Tools. Below are the topics covered in the video:
1. What is DevOps
2. What are CI and CD?
3. Pipelines: What are they?
4. Continuous Delivery and Continuous Deployment
5. Role of Jenkins
6. Role of Docker
7. Hands-On – Creating CI CD Pipeline Using Jenkins and Docker
Check our complete DevOps playlist here (includes all the videos mentioned in the video): http://goo.gl/O2vo13
At AWS re:Invent, we have launched support for blue/green deployments for services hosted using AWS Fargate and Amazon Elastic Container Service (Amazon ECS). Blue/green deployments help you minimize downtime during application updates. They allow you to launch a new version of your application alongside the old version and test the new version before you reroute traffic to it. You can also monitor the deployment process and, if there is an issue, quickly roll back.
In this workshop, you will create a new service in AWS Fargate that uses AWS CodeDeploy to manage the deployments, testing, and traffic cutover for you.
The document discusses chaos engineering and building system resiliency. It defines chaos engineering as experimenting on distributed systems to build confidence in their ability to withstand turbulent conditions in production. It advocates breaking systems on purpose through failure injection experiments to discover weaknesses before they cause problems. The document provides examples of chaos engineering experiments at different levels including application, host, network, and region failures. It also covers principles for ensuring system reliability through approaches like infrastructure as code, immutable infrastructure, auto-scaling, and non-blocking architectures.
This document provides an introduction to microservices. It begins by outlining the challenges of monolithic architecture such as long build/release cycles and difficulty scaling. It then introduces microservices as a way to decompose monolithic applications into independently deployable services. Key benefits of microservices include improved agility, scalability, and innovation. The document discusses microservice design principles like communicating over APIs, using the right tools for each service, securing services, and being a good citizen in the ecosystem. It provides examples of how to implement a restaurant microservice using AWS services like API Gateway, Lambda, DynamoDB and containers.
How deeply can you understand what is happening inside your application? In modern, microservices-based applications, it’s critical to have end-to-end observability of each component and the communications between them in order to quickly identify and debug issues. In this session, we show how to have the necessary instrumentation and how to use the data you collect to have a better grasp of your production environment. On AWS, CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services. With AWS X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. AWS App Mesh standardizes how your microservices communicate, giving you end-to-end visibility and helping to ensure high-availability for your applications.
Elastic Observability is helping organizations drive their mean time to resolution toward zero with end-to-end visibility in a single platform. Hear about the latest features and capabilities at all layers — from ingest to insight — and get a glimpse into where we are headed.
What is observability and how is it different from traditional monitoring? How do we effectively monitor and debug complex, elastic microservice architectures? In this interactive discussion, we’ll answer these questions. We’ll also introduce the idea of an “observability pipeline” as a way to empower teams following DevOps practices. Lastly, we’ll demo cloud-native observability tools that fit this “observability pipeline” model, including Fluentd, OpenTracing, and Jaeger.
Getting Started with Confluent Schema Registryconfluent
Getting started with Confluent Schema Registry, Patrick Druley, Senior Solutions Engineer, Confluent
Meetup link: https://www.meetup.com/Cleveland-Kafka/events/272787313/
Microservices architecture is a method of developing software applications as a suite of independently deployable, small, modular services. Learn how to leverage the security and automation of the Amazon Web Services platform, to build, maintain and operate a microservices environment.
Speaker: Adam Lynch, Sr. Technical Account Manager, Amazon Web Services
In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition to different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.
Anatomy of a Continuous Integration and Delivery (CICD) PipelineRobert McDermott
This presentation covers the anatomy of a production CICD pipeline that is used to develop and deploy the cancer research application Oncoscape (https://oncoscape.sttrcancer.org)
This document provides an introduction to Docker and discusses how it helps address challenges in the modern IT landscape. Some key points:
- Applications are increasingly being broken up into microservices and deployed across multiple servers and environments, making portability and scalability important.
- Docker containers help address these issues by allowing applications to run reliably across different infrastructures through package dependencies and resources together. This improves portability.
- Docker provides a platform for building, shipping and running applications. It helps bridge the needs of developers who want fast innovation and operations teams who need security and control.
The document discusses Amazon Web Services container management services and Kubernetes. It provides an overview of AWS services like Amazon ECS, EKS, Fargate, ECR, Cloud Map and App Mesh. It also describes Kubernetes concepts like pods, deployments, services, namespaces and control plane/data plane architecture. Amazon EKS is highlighted as a managed Kubernetes service that makes it easy to run Kubernetes on AWS without operating the control plane.
How can you accelerate the delivery of new, high-quality services? How can you be able to experiment and get feedback quickly from your customers? To get the most out of the agility afforded by serverless and containers, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features. In this talk, we demonstrate how developers can build effective CI/CD release workflows to manage their serverless or containerized deployments on AWS. We cover infrastructure-as-code (IaC) application models, such as AWS Serverless Application Model (AWS SAM) and new imperative IaC tools. We also demonstrate how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we show you how to automate safer deployments with AWS CodeDeploy.
Observability for Modern Applications (CON306-R1) - AWS re:Invent 2018Amazon Web Services
In modern, microservices-based applications, it’s critical to have end-to-end observability of each microservice and the communications between them in order to quickly identify and debug issues. In this session, we cover the techniques and tools to achieve consistent, full-application observability, including monitoring, tracing, logging, and service mesh.
1. Microservices architecture breaks down applications into small, independent services that focus on specific business capabilities. This allows services to be developed, deployed and scaled independently.
2. The key characteristics of microservices include being organized around business capabilities, independently deployable, using lightweight protocols and decentralized governance.
3. Microservices provide benefits like scalability, testability and flexibility to change technologies. However, they also add complexity and require new skills around distributed systems.
Keynote at Dockercon Europe Amsterdam Dec 4th, 2014.
Speeding up development with Docker.
Summary of some interesting web scale microservice architectures.
Please send me updates and corrections to the architecture summaries @adrianco
Thanks Adrian
AWS Solution Architect Associate certification covers key AWS services including compute, networking, storage, databases, deployment and management. The document provides an overview of cloud computing concepts like service models, deployment models and terminology. It also summarizes the history and growth of AWS including over 1 million active customers in 190 countries and $20 billion in annual revenue.
SpringOne Platform 2017
Mark Michael, Pivotal; Glenn Oppegard, Pivotal
"Ever wonder what it takes to move a popular, high traffic web application from a traditional hosting environment to Cloud Foundry running on Amazon Web Services, and then moving it to Google Cloud Platform, without customers noticing?
In this talk, we’ll share our experience from beginning to end, starting with making the Pivotal Tracker code base cloud friendly, configuring app deployment and data services on Amazon Web Services, properly scaling the foundation and data services prior to going live and doing a seamless cutover in less than 3 hours. Then how and why we did it all again by moving to Google Cloud Platform...in a fraction of the time thanks to Cloud Foundry.
We’ll also share the benefits we’ve experienced by being on Cloud Foundry, including how it’s allowed us to fully automate our build, acceptance and Concourse deployment process inching ever closer to continuous delivery. Most importantly, we’ll reveal how it’s changed the way we do DevOps and in the process freed up countless developer hours to focus on improving our product instead of operations."
At AWS re:Invent, we have launched support for blue/green deployments for services hosted using AWS Fargate and Amazon Elastic Container Service (Amazon ECS). Blue/green deployments help you minimize downtime during application updates. They allow you to launch a new version of your application alongside the old version and test the new version before you reroute traffic to it. You can also monitor the deployment process and, if there is an issue, quickly roll back.
In this workshop, you will create a new service in AWS Fargate that uses AWS CodeDeploy to manage the deployments, testing, and traffic cutover for you.
The document discusses chaos engineering and building system resiliency. It defines chaos engineering as experimenting on distributed systems to build confidence in their ability to withstand turbulent conditions in production. It advocates breaking systems on purpose through failure injection experiments to discover weaknesses before they cause problems. The document provides examples of chaos engineering experiments at different levels including application, host, network, and region failures. It also covers principles for ensuring system reliability through approaches like infrastructure as code, immutable infrastructure, auto-scaling, and non-blocking architectures.
This document provides an introduction to microservices. It begins by outlining the challenges of monolithic architecture such as long build/release cycles and difficulty scaling. It then introduces microservices as a way to decompose monolithic applications into independently deployable services. Key benefits of microservices include improved agility, scalability, and innovation. The document discusses microservice design principles like communicating over APIs, using the right tools for each service, securing services, and being a good citizen in the ecosystem. It provides examples of how to implement a restaurant microservice using AWS services like API Gateway, Lambda, DynamoDB and containers.
How deeply can you understand what is happening inside your application? In modern, microservices-based applications, it’s critical to have end-to-end observability of each component and the communications between them in order to quickly identify and debug issues. In this session, we show how to have the necessary instrumentation and how to use the data you collect to have a better grasp of your production environment. On AWS, CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing you with a unified view of AWS resources, applications, and services. With AWS X-Ray, you can understand how your application and its underlying services are performing to identify and troubleshoot the root cause of performance issues and errors. X-Ray provides an end-to-end view of requests as they travel through your application, and shows a map of your application’s underlying components. AWS App Mesh standardizes how your microservices communicate, giving you end-to-end visibility and helping to ensure high-availability for your applications.
Elastic Observability is helping organizations drive their mean time to resolution toward zero with end-to-end visibility in a single platform. Hear about the latest features and capabilities at all layers — from ingest to insight — and get a glimpse into where we are headed.
What is observability and how is it different from traditional monitoring? How do we effectively monitor and debug complex, elastic microservice architectures? In this interactive discussion, we’ll answer these questions. We’ll also introduce the idea of an “observability pipeline” as a way to empower teams following DevOps practices. Lastly, we’ll demo cloud-native observability tools that fit this “observability pipeline” model, including Fluentd, OpenTracing, and Jaeger.
Getting Started with Confluent Schema Registryconfluent
Getting started with Confluent Schema Registry, Patrick Druley, Senior Solutions Engineer, Confluent
Meetup link: https://www.meetup.com/Cleveland-Kafka/events/272787313/
Microservices architecture is a method of developing software applications as a suite of independently deployable, small, modular services. Learn how to leverage the security and automation of the Amazon Web Services platform, to build, maintain and operate a microservices environment.
Speaker: Adam Lynch, Sr. Technical Account Manager, Amazon Web Services
In this session, we walk through the fundamentals of Amazon VPC. First, we cover build-out and design fundamentals for VPCs, including picking your IP space, subnetting, routing, security, NAT, and much more. We then transition to different approaches and use cases for optionally connecting your VPC to your physical data center with VPN or AWS Direct Connect. This mid-level architecture discussion is aimed at architects, network administrators, and technology decision makers interested in understanding the building blocks that AWS makes available with Amazon VPC. Learn how you can connect VPCs with your offices and current data center footprint.
Anatomy of a Continuous Integration and Delivery (CICD) PipelineRobert McDermott
This presentation covers the anatomy of a production CICD pipeline that is used to develop and deploy the cancer research application Oncoscape (https://oncoscape.sttrcancer.org)
This document provides an introduction to Docker and discusses how it helps address challenges in the modern IT landscape. Some key points:
- Applications are increasingly being broken up into microservices and deployed across multiple servers and environments, making portability and scalability important.
- Docker containers help address these issues by allowing applications to run reliably across different infrastructures through package dependencies and resources together. This improves portability.
- Docker provides a platform for building, shipping and running applications. It helps bridge the needs of developers who want fast innovation and operations teams who need security and control.
The document discusses Amazon Web Services container management services and Kubernetes. It provides an overview of AWS services like Amazon ECS, EKS, Fargate, ECR, Cloud Map and App Mesh. It also describes Kubernetes concepts like pods, deployments, services, namespaces and control plane/data plane architecture. Amazon EKS is highlighted as a managed Kubernetes service that makes it easy to run Kubernetes on AWS without operating the control plane.
How can you accelerate the delivery of new, high-quality services? How can you be able to experiment and get feedback quickly from your customers? To get the most out of the agility afforded by serverless and containers, it is essential to build CI/CD pipelines that help teams iterate on code and quickly release features. In this talk, we demonstrate how developers can build effective CI/CD release workflows to manage their serverless or containerized deployments on AWS. We cover infrastructure-as-code (IaC) application models, such as AWS Serverless Application Model (AWS SAM) and new imperative IaC tools. We also demonstrate how to set up CI/CD release pipelines with AWS CodePipeline and AWS CodeBuild, and we show you how to automate safer deployments with AWS CodeDeploy.
Observability for Modern Applications (CON306-R1) - AWS re:Invent 2018Amazon Web Services
In modern, microservices-based applications, it’s critical to have end-to-end observability of each microservice and the communications between them in order to quickly identify and debug issues. In this session, we cover the techniques and tools to achieve consistent, full-application observability, including monitoring, tracing, logging, and service mesh.
1. Microservices architecture breaks down applications into small, independent services that focus on specific business capabilities. This allows services to be developed, deployed and scaled independently.
2. The key characteristics of microservices include being organized around business capabilities, independently deployable, using lightweight protocols and decentralized governance.
3. Microservices provide benefits like scalability, testability and flexibility to change technologies. However, they also add complexity and require new skills around distributed systems.
Keynote at Dockercon Europe Amsterdam Dec 4th, 2014.
Speeding up development with Docker.
Summary of some interesting web scale microservice architectures.
Please send me updates and corrections to the architecture summaries @adrianco
Thanks Adrian
AWS Solution Architect Associate certification covers key AWS services including compute, networking, storage, databases, deployment and management. The document provides an overview of cloud computing concepts like service models, deployment models and terminology. It also summarizes the history and growth of AWS including over 1 million active customers in 190 countries and $20 billion in annual revenue.
SpringOne Platform 2017
Mark Michael, Pivotal; Glenn Oppegard, Pivotal
"Ever wonder what it takes to move a popular, high traffic web application from a traditional hosting environment to Cloud Foundry running on Amazon Web Services, and then moving it to Google Cloud Platform, without customers noticing?
In this talk, we’ll share our experience from beginning to end, starting with making the Pivotal Tracker code base cloud friendly, configuring app deployment and data services on Amazon Web Services, properly scaling the foundation and data services prior to going live and doing a seamless cutover in less than 3 hours. Then how and why we did it all again by moving to Google Cloud Platform...in a fraction of the time thanks to Cloud Foundry.
We’ll also share the benefits we’ve experienced by being on Cloud Foundry, including how it’s allowed us to fully automate our build, acceptance and Concourse deployment process inching ever closer to continuous delivery. Most importantly, we’ll reveal how it’s changed the way we do DevOps and in the process freed up countless developer hours to focus on improving our product instead of operations."
Cloud Native Java with Spring Cloud ServicesVMware Tanzu
SpringOne Platform 2016
Speakers: Craig Walls; Spring Social Lead, Pivotal. Roy Clarkson; Spring Mobile Lead, Pivotal.
Developing cloud native applications presents several challenges. How do microservices discover each other? How do you configure them? How can you make them resilient to failure? How can you monitor the health of each microservice?
Spring Cloud addresses all of these concerns. Even so, you still must explicitly develop your own discovery server, configuration server, and circuit breaker dashboard for monitoring the circuit breakers in each microservice.
Spring Cloud Services for Pivotal Cloud Foundry picks up where Spring Cloud leaves off, offering a discovery server, configuration server, and Hystrix dashboard as services that can be bound to applications deployed in Pivotal Cloud Foundry, leaving you to focus on developing the services that drive your application. In this talk, we will introduce the capabilities provided by Spring Cloud Services and demonstrate how it makes simple work of deploying cloud native applications to Cloud Foundry.
Continuous Delivery for Microservice Architectures with Concourse & Cloud Fou...VMware Tanzu
SpringOne Platform 2016
Speaker: Alex Ley; Product Manager, Pivotal
Building a continuous delivery pipeline for your micro-service based architecture can be a real challenge when using more conventional CI systems like Jenkins and GoCD. How do you get a clear picture of the CI workflow and status? What artifact was deployed and when? How is this all configured?
Introducing Concourse (https://concourse.ci), an open source pipeline based CI system that focuses on simplicity, usability and reproducibility. It offers isolated builds, a range of integrations and is built upon a proven technology stack from Cloud Foundry.
This talk will demonstrate creating a continuous delivery pipeline for a Spring microservice-based application that uses Spring Cloud. You will see how the pipeline tests services, integrates and then blue / green deploys to Cloud Foundry.
Expect to rush to your laptop to try out Concourse after this session!
SpringOne Platform 2016
Speaker: Kenny Bastani; Developer Advocate, Pivotal.
Cloud Foundry is a powerful structured platform. For many organizations their first experience with Cloud Foundry feels like jumping in a time machine and emerging in a world where the automations are done and--even more surprising--they work! But that’s just the beginning.
Cloud Foundry is a trustworthy, capable foundation you can build upon. It’s power lies in the flexibility provided through a structured, clear framework for extension. That’s what I want to show you in this talk.
There are several supported mechanisms for extending the platform. In this talk we’ll consider each method and which problem areas they address well. We’ll cover everything from user-provided services to first class services managed by BOSH.
You may be extending the platform to provide unique, new services to your users; or to bridge cloud-native applications running on Cloud Foundry with existing data centers and tools. No matter your use case you’ll gain a valuable understanding of the extensibility of the platform itself to truly make it your own.
Cloud Foundry gives platform operators and platform engineers an incredible framework for delivering transformative value to application developers. Learn how in this talk.
Extending the Platform with Spring Boot and Cloud FoundryKenny Bastani
When developing cloud native applications that are deployed and operated using a cloud platform, such as Cloud Foundry, there becomes a need to provision middleware services using the platform. The result of building platform services are that developers using the platform are able to take advantage of service offerings as bindings for their application deployments.
SpringOne Platform 2017
Miranda LeBlanc, Liberty Mutual
For early adopters, CI/CD and DevOps are obvious choices for driving software innovation at lightning speed, but how do you go about motivating the entire IT organization? At Liberty Mutual Insurance, we've been on a DevOps, Agile and CI/CD journey for at least the last 10 years. Come hear about how we've organically grown a culture supporting CI/CD practices and what our current struggles are in transforming 100 year old insurance company to run like a start up.
Data Migration at Scale with RabbitMQ and Spring IntegrationAlvaro Videla
This document discusses data migration at scale using RabbitMQ and Spring Integration. It introduces Álvaro Videla, a developer advocate at Pivotal and co-author of RabbitMQ in Action. It then provides an overview of RabbitMQ, including that it is a multi-protocol messaging server, open source, polyglot, and written in Erlang. It also summarizes some key features of RabbitMQ such as persistent messages, publisher confirms, and dead letter exchanges.
The many benefits of a RESTful architecture has made it the standard way in which to design web based APIs. For example, the principles of REST state that we should leverage standard HTTP verbs which helps to keep our APIs simple. Server components that are considered RESTFul should be stateless which help to ensure that they can easily scale. We can leverage caching to gain further performance and scalability benefits.
However, the best practices of REST and security often seem to clash. How should a user be authenticated in a stateless application? How can a secured resource also support caching? Securing RESTful endpoints is further complicated by the the fact that security best practices evolve so rapidly.
In this talk Rob will discuss how to properly secure your RESTful endpoints. Along the way we will explore some common pitfalls when applying security to RESTful APIs. Finally, we will see how the new features in Spring Security can greatly simplify securing your RESTful APIs.
So You're Up to Your Eyes in FoundationsVMware Tanzu
SpringOne Platform 2019
Session Title: So You're Up to Your Eyes in Foundations
Speaker: Tony Elmore, Solutions Architect, Pivotal
Youtube Link: https://youtu.be/bNPMWMq2Q1o
12 Factor, or Cloud Native Apps - What EXACTLY Does that Mean for Spring Deve...VMware Tanzu
SpringOne Platform 2016
Speaker: Thomas Gamble; Director, Development, Home Depot
Your team is excited about getting started with Spring Boot and Cloud Native, but you're not entirely sure you're ready to have the team continuously delivering to prod using cf push from their local desktops. The freedom of cloud native development can be very empowering for developers, but it shouldn't be something that terrifies the operations and security teams. We'll discuss how you can setup a fast and reliable deployment process, as well as some interesting things to thing about in the future. One of the most well known descriptions of these new paradigms is the Twelve Factor App (12factor.net), which describes elements of cloud native applications. Many of these needs are squarely met through the Spring Framework, others require support from other systems. In this session we will examine each of the twelve factors and present how Spring, and platforms such as Cloud Foundry satisfy them, and in some cases we’ll even suggest that responsibility should shift from Spring to platforms. At the conclusion you will understand what is needed for cloud‐native applications, why and how to deliver on those requirements.
Drive-In Meets Digital: Modernizing a Classic Customer ExperienceVMware Tanzu
Sonic is the largest drive-in restaurant chain in America with over 3,600 locations. It created a mobile app to modernize the customer experience. The app has been very successful, with over 8.5 million active users generating a large portion of sales. Sonic is taking a platform approach to further innovate digitally. This involves developing a digital innovation platform to rapidly create new features across channels. Key platform innovations discussed include using business metrics for monitoring, implementing synthetic testing, and conducting chaos engineering experiments.
Lattice: A Cloud-Native Platform for Your Spring ApplicationsMatt 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
Pivotal Cloud Foundry, Google Machine Learning, and SpringVMware Tanzu
SpringOne Platform 2017
Brian Gregory, Google; Brian Jimerson, Pivotal
Learn how Pivotal Cloud Foundry and Spring can accelerate development of applications that leverage Google Cloud's Machine Learning API. You will learn how Google's fully trained Machine Learning models can be easily consumed by Spring applications through the GCP Service Broker on Pivotal Cloud Foundry. This session will introduce the GCP Service Broker on Pivotal Cloud Foundry and the Google Cloud Machine Learning APIs. We will also demonstrate a working example of Spring applications using the Machine Learning APIs.
In the workshop with GCP, Home Depot & Cloud FoundryChristopher Grant
Christopher Grant and Eric Johnson talk about Home Depot's experience in piloting Spring apps running in Pivotal Cloud Foundry on top of Google Cloud Platform. They discuss Home Depot's journey using this cutting edge technology stack, including some...
A journey of mobile, microservices, and speed to market at the world's larges...VMware Tanzu
SpringOne Platform 2017
Dustin Bennett, Home Depot
The Home Depot leverages mobile devices to support associates on the sales floor. These devices facilitate a frictionless customer experience and enable many operational functions. Pivotal Cloud Foundry has enabled The Home Depot to develop and deploy to mobile devices much faster than previously possible. Cloud native practices have allowed for building much more resilience in applications. Dustin Bennett will present an overview of the mobile landscape at The Home Depot, where they are in the journey, and where they want to be. Code examples will be in Go and React as time permits.
Fast 5 Things You Can Do Now to Get Ready for the CloudVMware Tanzu
SpringOne Platform 2019
Fast 5 Things You Can Do Now to Get Ready for the Cloud
Speaker: Robert Sirchia, Practice Lead, Magenic Technologies
YouTube: https://youtu.be/WLw82cV0Lwk
SpringFramework 5에서 선보이는 Reactive와 같은 핵심기능이 2017 2017년 12월 샌프란시스코에서 열린 Spring One Platform행사에서 소개된 내용중 Spring Data, Spring Security, Spring WebFlux프로젝트에 녹아져 있는지 살펴봅니다. 또한 이러한 기능들이 어떻게 여러분의 시스템의 반응성을 높이고 효율적으로 동작하게 하는지 알아봅니다.
Marcin Grzejszczak - Contract Tests in the EnterpriseSegFaultConf
Is your legacy application talking to a service that is never up and running on your shared testing environment? Does your company waste a lot of time and money on regression testing only to see that, yet again, someone has created a typo in the API? Enough is enough. Time to fix this problem using contract tests!
In this presentation you’ll see how to migrate a legacy application to work with stubs of external applications. We’ll show different ways of increasing your test reliability by writing adding contract tests of your API. You’ll see the difference between producer and consumer driven contracts.
SpringOne Platform 2016
Speaker: Justin Smith; Director, Pivotal
Credential hygiene is a perennial concern in all distributed computing systems. It’s certainly of utmost importance in cloud-native platforms. It’s common practice to encrypt credentials for storage and distribution, but they ultimately need to be made available as cleartext to the application that requires them. In this talk, we will discuss the options available and best practices for these sensitive operations. Topics include: key encrypting keys, hardware security modules, and relatively new and promising advances in muti-party computation.
AI/ML Infra Meetup | How Uber Optimizes LLM Training and FinetuneAlluxio, Inc.
AI/ML Infra Meetup
Mar. 06, 2025
Organized by Alluxio
For more Alluxio Events: https://www.alluxio.io/events/
Speaker:
- Chongxiao Cao (Senior SWE @ Uber)
Chongxiao Cao from Uber's Michelangelo training team shared valuable insights into Uber's approach to optimizing LLM training and fine-tuning workflows.
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