Microservices with Apache Camel, DDD, and KubernetesChristian Posta
Building microservices requires more than just infrastructure, but infrastructure does have a role. In this talk we look at microservices from an enterprise perspective and talk about DDD, Docker, Kubernetes and how established open-source projects in the integration space fits a microservices architecture
Using apache camel for microservices and integration then deploying and managing on Docker and Kubernetes. When we need to make changes to our app, we can use Fabric8 continuous delivery built on top of Kubernetes and OpenShift.
The document discusses continuous delivery of integration applications using JBoss Fuse and OpenShift. It covers the cost of change in software development, how JBoss Fuse can help with integration challenges, and how OpenShift enables continuous delivery through automation and a developer self-service platform as a service model. The presentation demonstrates how to build a continuous delivery pipeline using tools like Git, Jenkins, Fabric8, and OpenShift to deploy and test applications.
10 yrs ago, SOA promised a lot of the same things Microservices promise use today. So where did we go wrong? What makes microservices different? In this talk, we discussed from an architectural view how we went sideways with SOA, why we must embrace things like Domain Driven Design and scaled-out architectures, and how microservices can be built with enterprises in mind. We also cover a step-by-step, in-depth tutorial that covers these concepts.
Java one kubernetes, jenkins and microservicesChristian Posta
This document discusses microservices with Docker, Kubernetes and Jenkins. It provides an overview of Kubernetes concepts like pods, replication controllers, services and labels. It also discusses how Kubernetes can help manage containers across multiple hosts and address challenges of scaling, avoiding port conflicts and keeping containers running. The document promotes using Jenkins and Kubernetes for continuous integration and delivery of containerized microservices applications. It recommends Fabric8 as a tool that can help create and deploy microservices on Kubernetes.
We consider a microservices architecture to achieve an end goal, not because it's "the cool thing to do". Every organization looking to adopt this architecture must realize (and adhere) to a set of foundational principles. Guided by those principles, we can correctly choose the technology to help support a microservices architecture and meet our end goals. This talk explains those core principles and gives you the tools needed for your microservices journey.
Microservices with Apache Camel, Docker and Fabric8 v2Christian Posta
My talk from Red Hat Summit 2015 about the pros/cons of microservices, how integration is a strong requirement for doing distributed systems designs, and how open source projects like Apache Camel, Docker, Kubernetes, OpenShift and Fabric8 can help simplify and manage microservice environments
Real-world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
What are and aren't microservices?
Microservices is a validation of the open-source approach to integration and service implementation and a rebuff of the committee-driven SOA approach. In this
The document discusses Christian Posta's journey with microservices architectures. It begins by explaining why organizations are moving to microservices and defines microservices. It then covers related topics like cloud platforms, container technologies like Kubernetes and OpenShift, benefits and drawbacks of microservices, and tools for developing microservices like Docker, Kubernetes, OpenShift, and Camel.
The document discusses microservices and APIs. It covers how microservices optimize for speed by shedding dependencies and having dependencies on demand through services and APIs. It discusses consumer contracts for APIs and service versioning. It also discusses using an API gateway pattern for scalability, security, monitoring and more. It promotes API management for benefits like access control, analytics, and monetization of microservices.
The document discusses Apache Camel, an open-source integration library that can be used to integrate disparate systems that use different protocols and data formats. It provides an overview of what integration is, describes how Camel works using a domain-specific language and components, and demonstrates how to define simple routes using Java or XML. The presentation concludes with information on management and tooling support for Camel.
This document discusses cloud native architectures and microservices. It introduces the speaker and covers topics like how fast software delivery requires decoupling services, using containers and Kubernetes for deployment, and using Apache Camel for integration between microservices. It also discusses using OpenShift and Fuse Integration Services on OpenShift to develop and deploy microservices in a cloud native way.
The Hardest Part of Microservices: Calling Your ServicesChristian Posta
When building microservices, you must solve for a number of critical functions, but the process can be incredibly complex and expensive to maintain. Christian Posta offers an overview of Envoy Proxy and Istio.io Service Mesh, explaining how they solve application networking problems more elegantly by pushing these concerns down to the infrastructure layer and demonstrating how it all works.
This document summarizes an event-driven architecture presentation using Java. It discusses using Apache Kafka/Amazon Kinesis for messaging, Docker for containerization, Vert.x for reactive applications, Apache Camel/AWS Lambda for integration, and Google Protocol Buffers for data serialization. It covers infrastructure components, software frameworks, local and AWS deployment, and integration testing between Kinesis and Kafka. The presentation provides resources for code samples and Docker images discussed.
Sascha Möllering gave a presentation on deploying applications to the AWS cloud. He began with an overview of AWS services like EC2, S3, RDS and explained how to initially create a simple cloud service with one instance each for a web application and database. He then described how to improve the architecture by separating components, adding redundancy and elasticity using services like ELB, autoscaling and read replicas. Sascha demonstrated deploying a sample application built with JHipster and Docker to AWS Elastic Beanstalk, which handles running the containers and mapping environment variables for the database connection.
The Pivotal Engineering Dojo: Earning Your Black Belt in Cloud Foundry Engine...VMware Tanzu
This document summarizes Julz Friedman's experience earning a black belt in Cloud Foundry engineering through the CF dojo program. Some key points:
- Friedman spent 7-8 weeks at Pivotal's San Francisco office working with various CF teams to learn the codebase, build relationships, and gain credibility for themselves and IBM.
- The experience was overall positive and helped achieve the goals of understanding CF debugging, meeting team members, and contributing.
- Friedman paired with teams like Runtime, Bosh, Docs, and Services and observed differences between "big company agile" and Pivotal's XP-style approach.
- Lessons included embracing Pivotal's welcoming culture, the
The Hardest Part of Microservices: Your Data - Christian Posta, Red HatAmbassador Labs
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
How would ESBs look like, if they were done today.Markus Eisele
ESBs would look different if built today. Large monolithic applications would be decomposed into microservices with bounded contexts. Services would be independently deployable and designed for failure. An ESB centralized integration but microservices use decentralized approaches like service discovery. While challenging, microservices evolve legacy systems towards modular, scalable architectures. It's a learning process, and the industry is still evolving effective patterns.
Sebastien goasguen cloud stack the next yearShapeBlue
This document discusses plans to improve the Apache CloudStack project. It outlines proposals to clean up code, infrastructure, documentation and the ecosystem. Specific areas of focus include removing unused code, improving testing, consolidating documentation, and defining a catalog of common cluster configurations. The document also proposes an engineering roadmap to address upgrades, logging, storage, networking, the UI/API and QA. The goal is to modernize the architecture through better abstraction layers and make CloudStack more configurable, composable and developer-friendly.
This document summarizes the evolution of cloud computing technologies from virtual machines to containers to serverless computing. It discusses how serverless computing uses cloud functions that are fully managed by the cloud provider, providing significant cost savings over virtual machines by only paying for resources used. While serverless computing reduces operational overhead, it is not suitable for all workloads and has some limitations around cold start times and vendor lock-in. The document promotes serverless computing as the next wave in cloud that can greatly reduce costs and complexity while improving scalability and availability.
Alfresco DevCon 2019 (Edinburgh)
"Transforming the Transformers" for Alfresco Content Services (ACS) 6.1 & beyond
https://community.alfresco.com/community/ecm/blog/2019/02/07/alfresco-transform-service-new-with-acs-61
Alfresco provides various content transformation options across the Digital Business Platform (DBP). In this talk, we will explore the new independently-scalable Alfresco Transform Service. This enables a new option for transforms to be asynchronously off-loaded by Alfresco Content Services (ACS).
https://devcon.alfresco.com/speaker/jan-vonka/
ShapeBlue is a company that specializes in building public and private clouds using CloudStack. The document discusses several new features in CloudStack version 4.13 and 4.14 including constrained custom offerings, unmetered networks, OVA appliance support, zone-specific disk and compute offerings, hereditary tags on recurring snapshots, improved UI branding, and shared template support in the UI. It also outlines ShapeBlue's customers and provides an overview of backup and recovery functionality planned for CloudStack.
Taking the friction out of microservice frameworks with LagomMarkus Eisele
This document discusses Lagom, a microservices framework for building reactive, distributed systems on the JVM. Lagom promotes building loosely coupled services with explicit boundaries and focuses on asynchronous communication. It provides tools for event sourcing, CQRS, and clustering services for scalability. The document outlines Lagom's approach and provides resources for learning more.
The document discusses using Red Hat JBoss Fuse on OpenShift. It provides an overview of the session which will cover installing the Fuse cartridge, accessing the Fuse Management Console, and deploying and testing a Fuse application on OpenShift. The agenda then outlines discussing OpenShift, JBoss Fuse 6.1, installing the Fuse cartridge, using the management console, and building a Fuse application.
Real world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
What are, or aren't, microservices?
There's a lot of hype and buzz, but microservices emerged organically vs how some of the other distributed architectural styles were "handed down to us", so I believe there's some good things once you cut through the hype. In this talk I discussed what are and are NOT microservices, introduced some concepts, and discussed some concrete open-source libraries and frameworks that can help you develop and manage microservice style deployments.
Real-world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
What are and aren't microservices?
Microservices is a validation of the open-source approach to integration and service implementation and a rebuff of the committee-driven SOA approach. In this
The document discusses Christian Posta's journey with microservices architectures. It begins by explaining why organizations are moving to microservices and defines microservices. It then covers related topics like cloud platforms, container technologies like Kubernetes and OpenShift, benefits and drawbacks of microservices, and tools for developing microservices like Docker, Kubernetes, OpenShift, and Camel.
The document discusses microservices and APIs. It covers how microservices optimize for speed by shedding dependencies and having dependencies on demand through services and APIs. It discusses consumer contracts for APIs and service versioning. It also discusses using an API gateway pattern for scalability, security, monitoring and more. It promotes API management for benefits like access control, analytics, and monetization of microservices.
The document discusses Apache Camel, an open-source integration library that can be used to integrate disparate systems that use different protocols and data formats. It provides an overview of what integration is, describes how Camel works using a domain-specific language and components, and demonstrates how to define simple routes using Java or XML. The presentation concludes with information on management and tooling support for Camel.
This document discusses cloud native architectures and microservices. It introduces the speaker and covers topics like how fast software delivery requires decoupling services, using containers and Kubernetes for deployment, and using Apache Camel for integration between microservices. It also discusses using OpenShift and Fuse Integration Services on OpenShift to develop and deploy microservices in a cloud native way.
The Hardest Part of Microservices: Calling Your ServicesChristian Posta
When building microservices, you must solve for a number of critical functions, but the process can be incredibly complex and expensive to maintain. Christian Posta offers an overview of Envoy Proxy and Istio.io Service Mesh, explaining how they solve application networking problems more elegantly by pushing these concerns down to the infrastructure layer and demonstrating how it all works.
This document summarizes an event-driven architecture presentation using Java. It discusses using Apache Kafka/Amazon Kinesis for messaging, Docker for containerization, Vert.x for reactive applications, Apache Camel/AWS Lambda for integration, and Google Protocol Buffers for data serialization. It covers infrastructure components, software frameworks, local and AWS deployment, and integration testing between Kinesis and Kafka. The presentation provides resources for code samples and Docker images discussed.
Sascha Möllering gave a presentation on deploying applications to the AWS cloud. He began with an overview of AWS services like EC2, S3, RDS and explained how to initially create a simple cloud service with one instance each for a web application and database. He then described how to improve the architecture by separating components, adding redundancy and elasticity using services like ELB, autoscaling and read replicas. Sascha demonstrated deploying a sample application built with JHipster and Docker to AWS Elastic Beanstalk, which handles running the containers and mapping environment variables for the database connection.
The Pivotal Engineering Dojo: Earning Your Black Belt in Cloud Foundry Engine...VMware Tanzu
This document summarizes Julz Friedman's experience earning a black belt in Cloud Foundry engineering through the CF dojo program. Some key points:
- Friedman spent 7-8 weeks at Pivotal's San Francisco office working with various CF teams to learn the codebase, build relationships, and gain credibility for themselves and IBM.
- The experience was overall positive and helped achieve the goals of understanding CF debugging, meeting team members, and contributing.
- Friedman paired with teams like Runtime, Bosh, Docs, and Services and observed differences between "big company agile" and Pivotal's XP-style approach.
- Lessons included embracing Pivotal's welcoming culture, the
The Hardest Part of Microservices: Your Data - Christian Posta, Red HatAmbassador Labs
Christian Posta, principal architect at Red Hat discusses how to manage your data within a microservices architecture at the 2017 Microservices.com Practitioner Summit.
How would ESBs look like, if they were done today.Markus Eisele
ESBs would look different if built today. Large monolithic applications would be decomposed into microservices with bounded contexts. Services would be independently deployable and designed for failure. An ESB centralized integration but microservices use decentralized approaches like service discovery. While challenging, microservices evolve legacy systems towards modular, scalable architectures. It's a learning process, and the industry is still evolving effective patterns.
Sebastien goasguen cloud stack the next yearShapeBlue
This document discusses plans to improve the Apache CloudStack project. It outlines proposals to clean up code, infrastructure, documentation and the ecosystem. Specific areas of focus include removing unused code, improving testing, consolidating documentation, and defining a catalog of common cluster configurations. The document also proposes an engineering roadmap to address upgrades, logging, storage, networking, the UI/API and QA. The goal is to modernize the architecture through better abstraction layers and make CloudStack more configurable, composable and developer-friendly.
This document summarizes the evolution of cloud computing technologies from virtual machines to containers to serverless computing. It discusses how serverless computing uses cloud functions that are fully managed by the cloud provider, providing significant cost savings over virtual machines by only paying for resources used. While serverless computing reduces operational overhead, it is not suitable for all workloads and has some limitations around cold start times and vendor lock-in. The document promotes serverless computing as the next wave in cloud that can greatly reduce costs and complexity while improving scalability and availability.
Alfresco DevCon 2019 (Edinburgh)
"Transforming the Transformers" for Alfresco Content Services (ACS) 6.1 & beyond
https://community.alfresco.com/community/ecm/blog/2019/02/07/alfresco-transform-service-new-with-acs-61
Alfresco provides various content transformation options across the Digital Business Platform (DBP). In this talk, we will explore the new independently-scalable Alfresco Transform Service. This enables a new option for transforms to be asynchronously off-loaded by Alfresco Content Services (ACS).
https://devcon.alfresco.com/speaker/jan-vonka/
ShapeBlue is a company that specializes in building public and private clouds using CloudStack. The document discusses several new features in CloudStack version 4.13 and 4.14 including constrained custom offerings, unmetered networks, OVA appliance support, zone-specific disk and compute offerings, hereditary tags on recurring snapshots, improved UI branding, and shared template support in the UI. It also outlines ShapeBlue's customers and provides an overview of backup and recovery functionality planned for CloudStack.
Taking the friction out of microservice frameworks with LagomMarkus Eisele
This document discusses Lagom, a microservices framework for building reactive, distributed systems on the JVM. Lagom promotes building loosely coupled services with explicit boundaries and focuses on asynchronous communication. It provides tools for event sourcing, CQRS, and clustering services for scalability. The document outlines Lagom's approach and provides resources for learning more.
The document discusses using Red Hat JBoss Fuse on OpenShift. It provides an overview of the session which will cover installing the Fuse cartridge, accessing the Fuse Management Console, and deploying and testing a Fuse application on OpenShift. The agenda then outlines discussing OpenShift, JBoss Fuse 6.1, installing the Fuse cartridge, using the management console, and building a Fuse application.
Real world #microservices with Apache Camel, Fabric8, and OpenShiftChristian Posta
What are, or aren't, microservices?
There's a lot of hype and buzz, but microservices emerged organically vs how some of the other distributed architectural styles were "handed down to us", so I believe there's some good things once you cut through the hype. In this talk I discussed what are and are NOT microservices, introduced some concepts, and discussed some concrete open-source libraries and frameworks that can help you develop and manage microservice style deployments.
DevOps with ActiveMQ, Camel, Fabric8, and HawtIO Christian Posta
DevOps and Continuous Delivery slides with Fabric8 (http://fabric8.io), HawtIO (http://hawt.io), Camel, ActiveMQ, Docker Jenkins, etc.
Christian Posta is a principal middleware specialist and architect who has worked with large microservices architectures. He discusses why companies are moving to microservices and cloud platforms like Kubernetes and OpenShift. He covers characteristics of microservices like small autonomous teams and decentralized decision making. Posta also discusses breaking applications into independent services, shedding dependencies between teams, and using contracts and APIs for communication between services.
Microservices architecture is a very powerful way to build scalable systems optimized for speed of change. To do this, we need to build independent, autonomous services which by definition tend to minimize dependencies on other systems. One of the tenants of microservices, and a way to minimize dependencies, is “a service should own its own database”. Unfortunately this is a lot easier said than done. Why? Because: your data.
We’ve been dealing with data in information systems for 5 decades so isn’t this a solved problem? Yes and no. A lot of the lessons learned are still very relevant. Traditionally, we application developers have accepted the practice of using relational databases and relying on all of their safety guarantees without question. But as we build services architectures that span more than one database (by design, as with microservices), things get harder. If data about a customer changes in one database, how do we reconcile that with other databases (especially where the data storage may be heterogenous?).
For developers focused on the traditional enterprise, not only do we have to try to build fast-changing systems that are surrounded by legacy systems, the domains (finance, insurance, retail, etc) are incredibly complicated. Just copying with Netflix does for microservices may or may not be useful. So how do we develop and reason about the boundaries in our system to reduce complexity in the domain?
In this talk, we’ll explore these problems and see how Domain Driven Design helps grapple with the domain complexity. We’ll see how DDD concepts like Entities and Aggregates help reason about boundaries based on use cases and how transactions are affected. Once we can identify our transactional boundaries we can more carefully adjust our needs from the CAP theorem to scale out and achieve truly autonomous systems with strictly ordered eventual consistency. We’ll see how technologies like Apache Kafka, Apache Camel and Debezium.io can help build the backbone for these types of systems. We’ll even explore the details of a working example that brings all of this together.
Microservices, DevOps, and Containers with OpenShift and Fabric8Christian Posta
The document discusses microservices, DevOps, and containers. It introduces the speaker, Christian Posta, and his background working with microservices at a large company. It then asks questions about the organization's motivations for considering microservices and discusses challenges with keeping up with change. The document promotes OpenShift and Fabric8 as open-source platforms that can help automate build, deployment, and integration processes in a cloud-native way. It highlights features like CI/CD, management tools, and libraries to simplify developing microservices applications.
This document provides an agenda and summaries of key points from a presentation on integrating systems using Apache Camel. The presentation discusses how Apache Camel is an open-source integration library that uses enterprise integration patterns to connect disparate systems. It highlights features of Camel including components, data formats, and testing frameworks. Customer examples are presented that demonstrate large returns on investment and cost savings from using Camel for integration projects. The presenters argue that Camel provides flexibility, reusability and rapid development of integrations.
This document discusses integration in the age of DevOps. It describes how microservices help solve the problem of decoupling services and teams to move quickly at scale. Apache Camel is presented as a solution for integration that allows for reliable and distributed integration through mechanisms like messaging. Kubernetes and Docker are discussed as platforms that help develop and run microservices locally and at scale by providing automation, configuration, isolation and service discovery capabilities.
This document provides an overview of integrating microservices with Apache Camel and JBoss Fuse. It introduces Apache Camel as a lightweight integration library that uses enterprise integration patterns and domain-specific languages to define integration "flows" and "routes". It describes how Camel supports features like dynamic routing, REST APIs, backpressure, load balancing, and circuit breakers that are useful for building microservices. The document also introduces JBoss Fuse as a development and runtime platform for microservices that provides tooling, frameworks, management capabilities and container support using technologies like Apache Camel, CXF, ActiveMQ and Karaf.
From Zero to Cloud: Revolutionize your Application Life Cycle with OpenShift ...OpenShift Origin
From Zero to Cloud: Revolutionize your Application Life Cycle with OpenShift PaaS
Talk given by Diane Mueller, OpenShift Origin Community Manager at FISL 15 on May 9th, 2014
OpenShift is Red Hat's container application platform that provides a full-stack platform for deploying and managing containerized applications. It is based on Docker and Kubernetes and provides additional capabilities for self-service, automation, multi-language support, and enterprise features like authentication, centralized logging, and integration with Red Hat's JBoss middleware. OpenShift handles building, deploying, and scaling applications in a clustered environment with capabilities for continuous integration/delivery, persistent storage, routing, and monitoring.
SAP Integration with Red Hat JBoss Technologieshwilming
SAP ERP provides different approaches to integrate Java applications with business logic written in ABAP. With JBoss Fuse, the SOA Platform, and Data Services Platform, Red Hat offers flexible middleware solutions for service-oriented integration and orchestration. As a leading provider of integrated solutions and longtime Premier Partner, akquinet has a long history of projects integrating individual applications based on JBoss with standard ERP software such as SAP or Navision.
Based on various real world examples, we will show different ways to integrate SAP ABAP backends with JBoss Middleware. We will discuss the pros and cons of integrating Java EE applications using (a) the REST based approach with NetWeaver Gateway, (b) JBoss Data Services Platform with NetWeaver Gateway (c) SOAP based Web Services and (d) Remote Function Calls with the Java EE Connector Architecture (JCA) and the SAP Java Connector (JCo) library
Connecting Applications Everywhere with ActiveMQRob Davies
This document summarizes a presentation given by Rob Davies at the CamelOne 2013 conference in Boston, MA on June 10-11, 2013. The presentation introduced Apache ActiveMQ, an open-source message broker, and discussed its features including messaging protocols, management tools, high availability, and integration with Apache Camel. It also covered challenges of deploying and maintaining large ActiveMQ clusters and how Red Hat Fuse Fabric can help address these challenges.
This document provides an agenda and overview for a presentation on Apache Camel essential components. The presentation is given by Christian Posta from Red Hat on January 23, 2013. The agenda includes an introduction to Camel, a discussion of components, and time for questions. An overview of FuseSource/Red Hat is given, noting the acquisition of FuseSource by Red Hat in 2012. Details are provided on the speaker and their background. The document focuses on introducing some of the most widely used and essential Camel components, including File, Bean, Log, JMS, CXF, and Mock. Configuration options and examples of using each component are summarized.
This document discusses integrating legacy applications using Apache Camel. Camel provides abstractions that make it easy to integrate applications that use different protocols and technologies. It allows defining retry and transaction policies for integrations. While Camel is good for integration, very large projects may be better broken into microservices and APIs. Writing unit tests for Camel integrations can also be challenging. The document provides further reading resources on integration patterns, the Camel cookbook, and Camel components.
Microservices in action: How to actually build them3scale
Andrzej from the 3scale team gave this talk during the API Meetup Barcelona about how to practically build microservices using AWS Lambda, Amazon API Gateway, the JAWS framework and 3scale API Management.
Here is more info about the meetup:
http://www.meetup.com/API-Meetup-Barcelona/events/226165254/
JavaOne 2016: Kubernetes introduction for Java Developers Rafael Benevides
This document provides an introduction to Kubernetes and summarizes some of its key concepts. It describes how Kubernetes can manage containers across multiple machines and help address challenges of scaling, port conflicts, and high availability. Core Kubernetes concepts discussed include pods, replication controllers, labels, services, and persistent volumes. It also provides an overview of a sample application that will be used in an accompanying Kubernetes lab.
Devops: Who Does What? - Devops Enterprise Summit 2016cornelia davis
Within the IT organizational structures that have dominated the last several decades roles and responsibilities are fairly standardized. But with the dramatic changes that DevOps practices and supporting toolsets bring, many are left feeling a bit off balance - it’s no longer clear who is responsible for even things as “straight-forward” as development or operations.
In this talk I will take traditional roles that are distributed across fairly standard IT structures and sort them into a new organizational context. What is the role of the Enterprise Architect? Who does capacity planning and how? How can change management step out of the way all while still satisfying the requirements of safe deployments? How do agile teams interface with personnel responsible for maintaining legacy systems? I’ll leave the audience with a blueprint for a new organizational structure.
In an increasingly competitive marketplace, speed and business agility are paramount. And integration between customer-facing systems and back-end applications is more crucial than ever.
At this event, you'll learn how open source software built by communities, like Apache Camel, Docker, Kubernetes, OpenShift Origin, and Fabric8, can help organizations integrate services and establish effective continuous integration and delivery (CI/CD) pipelines.
This document provides an overview of OpenStack, an open-source cloud computing platform. It discusses the evolution of infrastructure from traditional to virtualized and cloud-based systems. It then describes OpenStack's architecture and core components for compute, storage, networking, identity management, and more. The document also outlines how OpenStack can be used to deploy private clouds and manage virtual infrastructure and applications. It discusses different administration roles for managing applications on the cloud versus managing the cloud platform itself.
This document provides an overview of OpenStack Block Storage (Cinder) and how it addresses challenges of scaling virtual environments. It discusses how virtualization led to cloud computing with goals of abstraction, automation, and scale. OpenStack was created as open source software to build and manage clouds with common APIs. Cinder provides block storage volumes to OpenStack instances, managing creation and attachment. SolidFire's storage system offers comprehensive Cinder support with guaranteed performance, high availability, and scale for production use.
This document summarizes Nicolas De Loof's talk about patterns for developing applications in the cloud. The talk discusses scaling applications horizontally and vertically, keeping stateless designs, using standards, and designing for failure. It also emphasizes continuous integration, deployment, and delivery practices like managing infrastructure as code and enabling zero downtime deployments.
Private PaaS & Container-as-a-Service for ISVs and Enterprise - Use Cases and...Dmitry Lazarenko
This presentation describes how PaaS & CaaS can be helpful for ISVs and Enterprises, what particular use cases can be solved using private and hybrid cloud powered by Jelastic
This document provides an introduction and overview of Docker, including its rapid growth and adoption, key benefits for developers and operations teams, technical underpinnings, ecosystem support, use cases, and future plans. Docker provides a way to package applications into lightweight containers that are portable and can run on any infrastructure. It solves issues around dependency management and consistency across environments.
Containers, microservices and serverless for realistsKarthik Gaekwad
The document discusses containers, microservices, and serverless applications for developers. It provides an overview of these topics, including how containers and microservices fit into the DevOps paradigm and allow for better collaboration between development and operations teams. It also discusses trends in container usage and orchestration as well as differences between platforms as a service (PaaS) and serverless applications.
The Future of SDN in CloudStack by Chiradeep Vittalbuildacloud
The core of CloudStack networking has always been software-defined. As the networking industry evolves to a software-defined future, CloudStack will have to evolve with it.
The presentation will examine the present state of SDN in CloudStack, look at some industry directions and attempt to predict the evolution of CloudStack with those trends.
Bio
Chiradeep Vittal is a Distinguished Engineer in the Converged Infrastructure Group at Citrix where he has technology leadership responsibilities around Citrix Cloud Platform, Citrix Lifecycle Manager and Citrix Workspace Pod. He is also a Project Management Committee member of the Apache CloudStack Project. At cloud.com (acquired by Citrix), he was a founding engineer, often tasked with the thorny details of virtualized networking and storage. Prior to cloud.com, he worked at several Silicon Valley startups in various architectural roles.
Chiradeep has a B.Tech in Computer Science from IIT, Bombay and a M.Sc from the University of Alberta. He has spoken / presented at several conferences, including CloudStack Collab, LISA, OSCON, ONS, SDN Summit and LinuxCon. His twitter handle is @chiradeep and occasionally blogs at http://cloudierthanthou.wordpress.com
Private clouds are cloud infrastructure that resides within a company's own datacenter and is managed internally. They allow a company to have cloud-like capabilities while maintaining control and security over their own data. Private clouds work by using virtualization and a controller to provision and track physical resources like servers, storage, and networks as more capacity is needed. The document discusses the private cloud platforms Eucalyptus, OpenStack, and CloudStack, comparing their architectures, development histories, and strengths for different use cases.
The document discusses microservices and how Azure supports the microservices architecture for modern applications. It defines microservices and service-oriented architecture as an approach to building applications as independent, interoperable services. It then describes the various Azure PaaS options for hosting microservices, such as App Service, Functions, and Service Fabric. It also covers supporting Azure services for state management, caching, storage, and monitoring microservices applications. Finally, it provides an example topology of a photo sharing solution built with multiple Azure microservices.
This document provides an introduction and overview of containers, Kubernetes, IBM Container Service, and IBM Cloud Private. It discusses how microservices architectures break monolithic applications into smaller, independently developed services. Containers are presented as a standard way to package applications to move between environments. Kubernetes is introduced as an open-source system for automating deployment and management of containerized applications. IBM Cloud Container Service and IBM Cloud Private are then overviewed as platforms that combine Docker and Kubernetes to enable deployment of containerized applications on IBM Cloud infrastructure.
This is the slide deck for the DFW Azure User Group meetup of 18 July 2017, presented by Doug Vanderweide and discussing Azure's services that support a microservices architecture.
Jelastic provides an advanced DevOps PaaS with Docker containers support, easy cloud management and flexible quotas system to help service providers to unleash the full potential of containers.
This document provides an overview of Docker and cloud native training presented by Brian Christner of 56K.Cloud. It includes an agenda for Docker labs, common IT struggles Docker can address, and 56K.Cloud's consulting and training services. It discusses concepts like containers, microservices, DevOps, infrastructure as code, and cloud migration. It also includes sections on Docker architecture, networking, volumes, logging, and monitoring tools. Case studies and examples are provided to demonstrate how Docker delivers speed, agility, and cost savings for application development.
Rami Sayar - Node microservices with DockerWeb à Québec
The document discusses converting a monolithic Node.js application into microservices and deploying them using Docker. It begins by defining microservices and their benefits. It then describes converting a sample pizza ordering application into independent microservices for handling messages, serving the frontend, and providing an API. Next, it covers patterns for networking microservices, including using an API gateway. It concludes by demonstrating how to deploy the microservices to Docker containers and use an orchestration tool like Kubernetes to manage them.
This document provides an introduction to Docker, including:
- Docker allows developers to package applications with all dependencies into standardized units called containers that can run on any infrastructure.
- Docker uses namespaces and control groups to provide isolation and security between containers while allowing for more efficient use of resources than virtual machines.
- The Docker architecture includes images which are templates for creating containers, a Dockerfile to automate image builds, and Docker Hub for sharing images.
- Kubernetes is an open-source platform for automating deployment and management of containerized applications across clusters of hosts.
This document provides an introduction and overview of Docker. It discusses why Docker was created to address issues with managing applications across different environments, and how Docker uses lightweight containers to package and run applications. It also summarizes the growth and adoption of Docker in its first 7 months, and outlines some of its core features and the Docker ecosystem including integration with DevOps tools and public clouds.
What Istio Got Wrong: Learnings from the last seven years of service meshChristian Posta
Building complex systems often requires simplicity in components—a lesson the Istio project has learned throughout its seven(plus)-year journey. Although Istio offers a lot of powerful features for application networking, crucial for many organizations, the path to maturity and broader adoption was fraught with challenges. In this talk, we explore the key mistakes made during Istio's development, including its initially complex architecture, an overload of features, premature release of version 1.0, difficulties faced by contributors, and delays in joining the CNCF. We will discuss the impact of these mistakes, how these missteps were addressed, and how they have positioned Istio as a leader in the service mesh market. This presentation will detail how Istio's evolution reflects a shift towards simpler, more modular components that together offer effective solutions for managing APIs and service-to-service communication regardless of platform.
Move Auth, Policy, and Resilience to the PlatformChristian Posta
Developer's time is the most crucial resource in an enterprise IT organization. Too much time is spent on undifferentiated heavy lifting and in the world of APIs and microservices much of that is spent on non-functional, cross-cutting networking requirements like security, observability, and resilience.
As organizations reconcile their DevOps practices into Platform Engineering, tools like Istio help alleviate developer pain. In this talk we dig into what that pain looks like, how much it costs, and how Istio has solved these concerns by examining three real-life use cases. As this space continues to emerge, and innovation has not slowed, we will also discuss the recently announced Istio sidecar-less mode which significantly reduces the hurdles to adopt Istio within Kubernetes or outside Kubernetes.
Comparing Sidecar-less Service Mesh from Cilium and IstioChristian Posta
Service mesh is a powerful pattern for implementing strong zero-trust networking practices, introducing better network observability, and allowing for more fine-grained traffic control. Up until now, the sidecar pattern was used to implement service-mesh capability but as the technology matures, a new pattern has emerged: sidecarless service mesh. Two prominent open-source networking projects, Cilium and Istio, have implemented a sidecar-free approach to service mesh but they both make interesting design decisions and tradeoffs. In this talk we review the architecture of both, focusing on the pros and cons of implementations such as mutual authentication, ingress, and observability.
Understanding Wireguard, TLS and Workload IdentityChristian Posta
Zero Trust Networking has become a standard marketing buzzword but the underlying principles are critical for modern microservice-style architectures. Authentication, authorizations, policy, etc. can be difficult to implement between services and do so in a maintainable way. Google invented their own transparent encryption and authorization protocol called "ALTS" back in 2007 to serve the application layer of Google's Borg workload scheduler, but we don't see others using it outside Google.
In this webinar we look at existing technology like TLS and newcomer Wireguard and see how these technologies come together to provide a secure foundation for workload identity and modern service-to-service networking.
Istio ambient mesh uses a sidecar-less data plane that focuses on ease of operations, incremental adoption, and separation of security boundaries for applications and mesh infrastructure.
In this webinar, we'll explore:
- The forces of modernization and compliance pressures,
- How Zero Trust Architecture (ZTA) can help, and
- How Istio ambient mesh lowers the barrier for establishing the properties necessary to achieve Zero Trust and compliance
The document discusses Cilium and Istio with Gloo Mesh. It provides an overview of Gloo Mesh, an enterprise service mesh for multi-cluster, cross-cluster and hybrid environments based on upstream Istio. Gloo Mesh focuses on ease of use, powerful best practices built in, security, and extensibility. It allows for consistent API for multi-cluster north-south and east-west policy, team tenancy with service mesh as a service, and driving everything through GitOps.
This document discusses service mesh patterns for connecting microservices across multiple clusters. It describes using Envoy proxy to provide service discovery, load balancing, security and resiliency. Patterns are presented for connecting services across clusters with flat, controlled or separate networks. Managing connectivity across clusters can increase operator burden. Gloo Mesh is presented as a way to simplify management across multiple clusters with a centralized control plane.
Multicluster Kubernetes and Service Mesh PatternsChristian Posta
Building applications for cloud-native infrastructure that are resilient, scalable, secure, and meet compliance and IT objectives gets complicated. Another wrinkle for the organizations with which we work is the fact they need to run across a hybrid deployment footprint, not just Kubernetes. At Solo.io, we build application networking technology on Envoy Proxy that helps solve difficult multi-deployment, multi-cluster, and even multi-mesh problems.
In this webinar, we’re going to explore different options and patterns for building secure, scalable, resilient applications using technology like Kubernetes and Service Mesh without leaving behind existing IT investments. We’ll see why and when to use multi-cluster topologies, how to build for high availability and team autonomy, and solve for things like service discovery, identity federation, traffic routing, and access control.
Cloud-Native Application Debugging with Envoy and Service MeshChristian Posta
Microservices have been great for accelerating the software innovation and delivery, but they also present new challenges, especially as abstractions and automated orchestration at every layer make pinpointing the issue seem like walking around a maze with a blindfold. Existing tools weren’t designed for distributed environments, and the new tools need to consider how to leverage these abstraction layers to better observe, test, and troubleshoot issues.
Christian Posta walks you through Envoy Proxy and service mesh architecture for L7 data plane, the key features in Envoy that can help in debugging and troubleshooting, chaos engineering as a testing methodology for microservices, how to approach a testing and debugging framework for microservices, and new open source tools that address these areas. You’ll explore a workflow to discover and resolve microservices issues, including injecting experiments for stress testing the applications, gathering requests in flight, recording and replaying them, and debugging them step by step without affecting production traffic.
Kubernetes Ingress to Service Mesh (and beyond!)Christian Posta
Kubernetes users need to allow traffic to flow into and within the cluster. Treating the application traffic separately from the business logic allows presents new possibilities in how service to service traffic is served, controlled and observed — and provides a transition to intra cluster networking like Service Mesh. With microservices, there is a concept of both North / South traffic (incoming requests from end users to the cluster) and East / West (intra cluster) communication between the services. In this talk we will explain how Envoy Proxy works in Kubernetes as a proxy for both of these traffic directions and how it can be leveraged to do things like traffic shaping, security, and integrate the north/south to east/west behavior.
Christian Posta (@christianposta) is Global Field CTO at Solo.io, former Chief Architect at Red Hat, and well known in the community for being an author (Istio in Action, Manning, Istio Service Mesh, O'Reilly 2018, Microservices for Java Developers, O’Reilly 2016), frequent blogger, speaker, open-source enthusiast and committer on various open-source projects including Istio, Kubernetes, and many others. Christian has spent time at both enterprises as well as web-scale companies and now helps companies create and deploy large-scale, cloud-native resilient, distributed architectures. He enjoys mentoring, training and leading teams to be successful with distributed systems concepts, microservices, devops, and cloud-native application design.
The exploration of service mesh for any organization comes with some serious questions. What data plane should I use? How does this tie in with my existing API infrastructure? What kind of overhead do sidecar proxies demand? As I've seen in my work with various organizations over the years "if you have a successful microservices deployment, then you have a service mesh whether it’s explicitly optimized as one or not."
In this talk, we seek to understand the role of the data plane and how to pick the right component for the problem context. We start off by establishing the spectrum of data-plane components from shared gateways to in-code libraries with service proxies being along that spectrum. We clearly identify which scenarios would benefit from which part of the data-plane spectrum and show how modern service meshes including Istio, Linkerd, and Consul enable these optimizations.
Deep Dive: Building external auth plugins for Gloo EnterpriseChristian Posta
Using the plugin framework for Ext. Auth Service in Gloo Enterprise, we can build any custom AuthN/AuthZ plugins to handle security requirements not provided out of the box.
Role of edge gateways in relation to service mesh adoptionChristian Posta
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you’ve been following the rise in service-mesh technologies, you’ll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What’s more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the “API Gateway” infrastructure as we know it today and go back to first principles with the “API Gateway pattern” and revisit the real problems we’re trying to solve. Then we’ll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the “API Gateway pattern” actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
Navigating the service mesh landscape with Istio, Consul Connect, and LinkerdChristian Posta
The document discusses various service mesh options including Linkerd, Consul Connect, Istio, and AWS App Mesh. It provides an overview of each solution, describing their key features and strengths/opportunities. It emphasizes that the service mesh approach is useful for managing inter-service communication and that implementations are still evolving. It recommends starting simply and iteratively adopting capabilities to match needs.
Distributed microservices introduce new challenges: failure modes are harder to anticipate and resolve. In this session, we present a “Chaos Debugging” framework enabled by three open source projects: Gloo Shot, Squash, and Loop to help you increase your microservices’ “immunity” to issues.
Gloo Shot integrates with any service mesh to implement advanced, realistic chaos experiments. Squash connects powerful and mature debuggers (gdb, dlv, java debugging) to your microservices while they run in Kubernetes. Loop extends the capability of your service mesh to observe your application and record full transactions for sandboxed replay and debugging.
Come to this demo-heavy talk to see how together, Squash, Gloo Shot, and Loop allow you to trigger, replay, and investigate failure modes of your microservices in a language agnostic and efficient manner without requiring any changes to your code.
Leveraging Envoy Proxy and GraphQL to Lower the Risk of Monolith to Microserv...Christian Posta
If you have an existing Java monolith, you know you must take care making changes to it or altering it in any negative way. Often times these monoliths are very valuable to the business and generate a lot of revenue. At the same time, since it’s difficult to make changes to the monolith it’s desirable to move to a microservices architecture. Unfortunately you cannot just do a big-bang migration to a greenfield architecture and will have to incrementally adopt microservices. In this talk, we’ll look at using Gloo proxy which is based on Envoy Proxy and GraphQL to do surgical, function-level traffic control and API aggregation to safely migrate your monolith to microservices and serverless functions.
Service-mesh options with Linkerd, Consul, Istio and AWS AppMeshChristian Posta
Service mesh abstracts the network from developers to solve three main pain points:
How do services communicate securely with one another
How can services implement network resilience
When things go wrong, can we identify what and why
Service mesh implementations usually follow a similar architecture: traffic flows through control points between services (usually service proxies deployed as sidecar processes) while an out-of-band set of nodes is responsible for defining the behavior and management of the control points. This loosely breaks out into an architecture of a "data plane" through which requests flow and a "control plane" for managing a service mesh.
Different service mesh implementations use different data planes depending on their use cases and familiarity with particular technology. The control plane implementations vary between service-mesh implementations as well. In this talk, we'll take a look at three different control plane implementations with Istio, Linkerd and Consul, their strengths, and their specific tradeoffs to see how they chose to solve each of the three pain points from above. We can use this information to make choices about a service mesh or to inform our journey if we choose to build a control plane ourselves.
The document summarizes the new features of Istio 1.1, an open-source service mesh. Some key highlights include improved performance and scalability, namespace isolation, multi-cluster capabilities, easier installation with Helm, and locality-aware load balancing. A new Sidecar resource was introduced to improve performance by configuring resources for individual proxies. The presentation demonstrates performance improvements with the Sidecar resource and highlights additional functionality in Istio like traffic control and metrics collection.
API Gateways are going through an identity crisisChristian Posta
API Gateways provide functionality like rate limiting, authentication, request routing, reporting, and more. If you've been following the rise in service-mesh technologies, you'll notice there is a lot of overlap with API Gateways when solving some of the challenges of microservices. If service mesh can solve these same problems, you may wonder whether you really need a dedicated API Gateway solution?
The reality is there is some nuance in the problems solved at the edge (API Gateway) compared to service-to-service communication (service mesh) within a cluster. But with the evolution of cluster-deployment patterns, these nuances are becoming less important. What's more important is that the API Gateway is evolving to live at a layer above service mesh and not directly overlapping with it. In other words, API Gateways are evolving to solve application-level concerns like aggregation, transformation, and deeper context and content-based routing as well as fitting into a more self-service, GitOps style workflow.
In this talk we put aside the "API Gateway" infrastructure as we know it today and go back to first principles with the "API Gateway pattern" and revisit the real problems we're trying to solve. Then we'll discuss pros and cons of alternative ways to implement the API Gateway pattern and finally look at open source projects like Envoy, Kubernetes, and GraphQL to see how the "API Gateway pattern" actually becomes the API for our applications while coexisting nicely with a service mesh (if you adopt a service mesh).
KubeCon NA 2018: Evolution of Integration and Microservices with Service Mesh...Christian Posta
Cloud-native describes a way of building applications on a cloud platform to iteratively discover and deliver business value. We now have access to a lot of similar technology that the large internet companies pioneered and used to their advantage to dominate their respective markets. What challenges arise when we start building applications to take advantage of this new technology?
In this talk we'll explore the role of service meshes when building distributed systems, why they make sense, and where they don't make sense. We will look at a class of problem that crops up that service mesh cannot solve, but that frameworks and even new programming languages like Ballerina are aiming to solve
Exploring Wayland: A Modern Display Server for the FutureICS
Wayland is revolutionizing the way we interact with graphical interfaces, offering a modern alternative to the X Window System. In this webinar, we’ll delve into the architecture and benefits of Wayland, including its streamlined design, enhanced performance, and improved security features.
Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell
It's time you stopped letting your telemetry data pressure your budgets and get in the way of solving issues with agility! No more I say! Take back control of your telemetry data as we guide you through the open source project Fluent Bit. Learn how to manage your telemetry data from source to destination using the pipeline phases covering collection, parsing, aggregation, transformation, and forwarding from any source to any destination. Buckle up for a fun ride as you learn by exploring how telemetry pipelines work, how to set up your first pipeline, and exploring several common use cases that Fluent Bit helps solve. All this backed by a self-paced, hands-on workshop that attendees can pursue at home after this session (https://o11y-workshops.gitlab.io/workshop-fluentbit).
Scaling GraphRAG: Efficient Knowledge Retrieval for Enterprise AIdanshalev
If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic?
Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search.
Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval.
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How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik
This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements.
Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows.
We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure.
The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.
Discover why Wi-Fi 7 is set to transform wireless networking and how Router Architects is leading the way with next-gen router designs built for speed, reliability, and innovation.
Designing AI-Powered APIs on Azure: Best Practices& ConsiderationsDinusha Kumarasiri
AI is transforming APIs, enabling smarter automation, enhanced decision-making, and seamless integrations. This presentation explores key design principles for AI-infused APIs on Azure, covering performance optimization, security best practices, scalability strategies, and responsible AI governance. Learn how to leverage Azure API Management, machine learning models, and cloud-native architectures to build robust, efficient, and intelligent API solutions
This presentation explores code comprehension challenges in scientific programming based on a survey of 57 research scientists. It reveals that 57.9% of scientists have no formal training in writing readable code. Key findings highlight a "documentation paradox" where documentation is both the most common readability practice and the biggest challenge scientists face. The study identifies critical issues with naming conventions and code organization, noting that 100% of scientists agree readable code is essential for reproducible research. The research concludes with four key recommendations: expanding programming education for scientists, conducting targeted research on scientific code quality, developing specialized tools, and establishing clearer documentation guidelines for scientific software.
Presented at: The 33rd International Conference on Program Comprehension (ICPC '25)
Date of Conference: April 2025
Conference Location: Ottawa, Ontario, Canada
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Maxon Cinema 4D 2025 is the latest version of the Maxon's 3D software, released in September 2024, and it builds upon previous versions with new tools for procedural modeling and animation, as well as enhancements to particle, Pyro, and rigid body simulations. CG Channel also mentions that Cinema 4D 2025.2, released in April 2025, focuses on spline tools and unified simulation enhancements.
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TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora
Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.
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Software testing plays a crucial role in the contribution process of open-source projects. For example, contributions introducing new features are expected to include tests, and contributions with tests are more likely to be accepted. Although most real-world projects require contributors to write tests, the specific testing practices communicated to contributors remain unclear. In this paper, we present an empirical study to understand better how software testing is approached in contribution guidelines. We analyze the guidelines of 200 Python and JavaScript open-source software projects. We find that 78% of the projects include some form of test documentation for contributors. Test documentation is located in multiple sources, including CONTRIBUTING files (58%), external documentation (24%), and README files (8%). Furthermore, test documentation commonly explains how to run tests (83.5%), but less often provides guidance on how to write tests (37%). It frequently covers unit tests (71%), but rarely addresses integration (20.5%) and end-to-end tests (15.5%). Other key testing aspects are also less frequently discussed: test coverage (25.5%) and mocking (9.5%). We conclude by discussing implications and future research.
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2. Christian Posta
Principal Middleware Specialist/Architect
Twitter: @christianposta
Blog: http://blog.christianposta.com
Email: [email protected]
• Committer on Apache Camel, Apache ActiveMQ, Fabric8
• Spent lot of time working with one of the largest Microservices, web-
scale, unicorn companies
• Blogger / speaker about DevOps, open-source, integration, and
microservices
Cloud Native Architectures
4. • Trying to incorporate new technology?
• Trying to copy what others are doing?
• Tactical automation?
• Created a “DevOps” team?
• Exploring cloud services?
• Build/deploy automation?
• OpenSource?
• Piecemeal integration?
How are you keeping up with change?
Cloud Native Architectures
5. Cloud Native Architectures
• Faster software delivery
• Own database (data)
• Faster innovation
• Scalability
• Right technology for the
problem
• Test individual services
• Isolation
• Individual deployments
9. Cloud Native Architectures
Fallacies of distributed computing
• Reliable networking
• Latency is zero
• Bandwidth is infinite
• Network is secure
• Topology doesn’t change
• Single administrator
• Transport cost is zero
• Network is homogenous
https://en.wikipedia.org/wiki/Fallacies_of_distributed_computing
15. Cloud Native Architectures
Apache Camel to the rescue!
• Small Java library
• Distributed-system swiss-army knife!
• Powerful EIPs
• Declarative DSL
• Embeddable into any JVM (EAP, Karaf, Tomcat, Spring
Boot, Dropwizard, Wildfly Swarm, no container, etc)
• Very popular (200+ components for “dumb pipes”)
16. Cloud Native Architectures
Apache Camel to the rescue!
• Automatic retries, backoff algorithms
• Dynamic routing
• Powerful testing/mocking framework
• Circuit breakers
• Backpressure mechanisms
• Beautiful REST DSL with built in Swagger support
18. Cloud Native Architectures
Typical problems developing microservices
• How to run them all locally?
• How to package them (dependency management)
• How to test?
• Vagrant? VirtualBox? VMs?
• Specify configuration
• Process isolation
• Service discovery
• Multiple versions?
19. Cloud Native Architectures
Shared infrastructure platforms headaches
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• Different rates of change
• VM sprawl
• Configuration drift
• Isolation / multi-tenancy
• Performance
• Real-time vs batch
• Compliance
• Security
• Technology choices
21. Cloud Native Architectures
Immutable infrastructure/deploys
• “we’ll just put it back in Ansible”
• Avoid chucking binaries / configs together and hope!
• Cattle vs Pets
• Don’t change it; replace it
• System created fully from automation; avoid drift
• Eliminate manual configuration/intervention
22. Cloud Native Architectures
Fuse Integration Services for OpenShift
• Set of tools for integration developers
• Build/package your Fuse/Camel services as Docker
images
• Run locally on CDK
• Deploy on top of OpenShift
• Plugs-in to your existing build/release ecosystem
(Jenkins/Maven/Nexus/Gitlab,etc)
23. Cloud Native Architectures
Fuse Integration Services for OpenShift
• Manage them with Kubernetes/OpenShift
• Flat-class loaders
• Take advantage of existing investment into Karaf with
additional options like “just enough app server”
deployments
• Supports Spring, CDI, Blueprint
25. Cloud Native Architectures
Using FIS on Red Hat CDK
• Small VM run locally by developers
• Full access to Docker, Kubernetes, OpenShift
• Deploy your suite of microservices with ease!
• Uses Vagrant/VirtualBox
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26. Cloud Native Architectures
Docker and Kubernetes
• Virtualized, isolated, containerized apps
• Lightweight packaging model (similar to git diffs)
• Immutability built in
• Cluster management
• start/stop/liveness/health, service discovery, dns,
routing
• Deploy applications using “reconciliation of state” vs
step-by-step scripting
27. Cloud Native Architectures
OpenShift
Higher level constructs on top of lower level abstractions
A PaaS built on native Docker/Kubernetes
Adds enterprise-necessary features
security
users/groups/permissions/quotas
source-to-image builds
autoscaling
deployment config
software defined networking out of the box
28. Cloud Native Architectures
Typical problems developing microservices
• How to run them all locally?
• How to package them
• How to test?
• Vagrant? VirtualBox? VMs?
• Specify configuration
• Process isolation
• Service discovery
• Multiple versions?