SpringOne 2020
Unleash the True Power of Spring Cloud: Learn How to Customize Spring Cloud
Olga Maciaszek-Sharma, Member of Technical Staff 3 at VMware
Ryan Baxter, Software Engineer at VMware
Security Patterns for Microservice Architectures - SpringOne 2020Matt Raible
Are you securing your microservice architectures by hiding them behind a firewall? That works, but there are better ways to do it. This presentation recommends 11 patterns to secure microservice architectures.
1. Be Secure by Design
2. Scan Dependencies
3. Use HTTPS Everywhere
4. Use Access and Identity Tokens
5. Encrypt and Protect Secrets
6. Verify Security with Delivery Pipelines
7. Slow Down Attackers
8. Use Docker Rootless Mode
9. Use Time-Based Security
10. Scan Docker and Kubernetes Configuration for Vulnerabilities
11. Know Your Cloud and Cluster Security
Blog post: https://developer.okta.com/blog/2020/03/23/microservice-security-patterns
This document summarizes the new features in recent releases of Spring Data MongoDB. Spring Data MongoDB 3.0 included major upgrades to the MongoDB Java driver from version 2.x to 4.x, which changed dependencies and configuration. Version 3.0 also added the ability to perform updates via the aggregation pipeline and made changes to the reactive GridFS implementation. Spring Data MongoDB 3.1 focuses on closing gaps to the imperative implementation, including adding reactive support for SpEL queries, auditing, and metrics collection. It also improves the experience of building native images with GraalVM.
Handling Secrets in Your Cloud Native ArchitectureVMware Tanzu
This document discusses handling secrets in cloud-native architectures. It introduces the goal of developing a secure and automated system for storing and distributing application credentials. It then describes building a service broker that integrates with HashiCorp Vault or Credhub to provide credentials to applications from a centralized backend while keeping applications cloud-native and decoupled from secrets management. The service broker abstracts away the complexities of interacting with the secrets backend to provide full lifecycle support for applications.
Spring Cloud Functions allows writing functions using Java's functional interfaces that can then run on any serverless platform. It provides a unified programming model for function composition, type conversion, and reactive support. Functions can be deployed to serverless platforms like AWS, Google Cloud Functions, and Microsoft Azure. The presentation includes a demo of Spring Cloud Functions and discusses why the functions paradigm is useful for building simple, portable, and testable applications.
This document discusses Spring Boot observability and provides tips for instrumenting applications. It recommends getting started with Spring Boot metrics and actuator endpoints, using Micrometer for custom metrics, and Spring Cloud Sleuth for distributed tracing. It also recommends using Spring Boot's integration with Wavefront and considering observability before production. The speaker shares their experience troubleshooting issues and how they discovered Dropwizard and Spring Boot, which made observability much easier.
Learn how enterprise leaders are using Azure Spring Cloud to transform their IT operations and deliver value. This moderated panel discussion will feature customers sharing real-world stories about:
• Running Spring apps in the cloud at enterprise scale
• Embracing hybrid as the new normal
• Transforming their technology stacks
• Implementing zero-trust security and network requirements
• Empowering their developers to rapidly dev and deploy
• Delivering value faster to their end customers
Walking Through Spring Cloud Data FlowVMware Tanzu
This document provides an overview and safe harbor statement for the "Walking Through Spring Cloud Data Flow" presentation at SpringOne 2020. It outlines that any information provided is intended for informational purposes only and is subject to change. The presentation will cover topics like Spring Cloud Stream for event-driven applications, Spring Cloud Task for batch applications, application development, deployment and monitoring using Spring Cloud Data Flow. It also provides details about the presenters and includes a sample demo data.
Resilient Microservices with Spring CloudVMware Tanzu
This document discusses building resilient microservices with Spring Cloud. It defines criteria for cloud native, cloud resilient, cloud friendly, and cloud ready applications. It also describes Spring Cloud features for service discovery, circuit breakers, and gateway routing that help meet these criteria. The presentation includes demos of Spring Cloud service discovery and circuit breakers, and a Kubernetes demo using Spring Cloud Kubernetes.
Spring Boot provides a convention-over-configuration approach for building stand-alone, production-grade Spring-based Applications that you can "just run". It takes an opinionated view of configuring Spring applications and applications can be started using a single command. Spring Boot Actuator provides production-ready features to monitor and manage applications with no additional coding required.
The document discusses software reliability engineering (SRE) practices for managing Kubernetes clusters. It describes how SRE teams use infrastructure as code, continuous integration/delivery (CI/CD), monitoring, logging, incident response processes, and other methodologies to ensure reliability and reduce toil. The document recommends that organizations adopt SRE practices gradually by starting small, defining standards, and working closely with development teams.
Spring Cloud Function: Where We Were, Where We Are, and Where We’re GoingVMware Tanzu
This document summarizes a presentation on Spring Cloud Function. It discusses functions and Spring Cloud Function, AWS Lambda integration, routing functions, streaming with Cloud Function and Solace, and demos of Cloud Function on AWS Lambda and with streaming. It also provides information about the presenters and resources for further information.
Unlock Sustainable Kubernetes Services for TASVMware Tanzu
SpringOne 2020
Unlock Sustainable Kubernetes Services for TAS
Sara Arntz, Manager, Product Management at VMware
Tiffany Jordan, Product Lead at VMware
Mikey Boldt, Software Engineer at VMware
The document provides advice for writing documentation based on Hemingway's writing style. It recommends focusing documentation on intermediate users trying to become experts, and accounting for different learning styles like visual and kinesthetic. Key advice includes being minimalist with words, using present tense, preferring shorter words, being direct, making information stick through formatting and diagrams, writing for everyone by avoiding cultural references, and testing documentation through peer review.
“Sh*^%# on Fire, Yo!”: A True Story Inspired by Real EventsVMware Tanzu
SpringOne 2020
“Sh*^%# on Fire, Yo!”: A True Story Inspired by Real Events
James Webb, MTS at T-Mobile
Brendan Aye, Technical Director, Platform Architecture at T-Mobile
Simplify Cloud Applications using Spring CloudRamnivas Laddad
This document discusses how to simplify cloud applications using Spring Cloud. It describes Spring Cloud's goals of abstracting over cloud services and environments. It covers using Java and XML configuration, scanning for services, and acquiring services. It also discusses Spring Cloud's extensibility for cloud platforms, services, and frameworks. The document includes demos of using Spring Cloud on Cloud Foundry, Heroku, and with Hadoop. It describes the integration with Spring Boot.
This presentation provides an overview and status update of the Steeltoe software framework. It discusses Steeltoe's components for observability, security, scalability, and ease of use. Recent updates include improvements to abstractions, configuration, connectors, discovery, management, and messaging. Future plans include further Kubernetes support, tooling enhancements, and making streams and data flow integration production-ready. The presentation encourages attendees to stay updated on Steeltoe's documentation, GitHub, Slack channel, and social media accounts.
Cloud Native Microservices with Spring CloudConor Svensson
In this talk we are going to discuss some of the key components of Spring Cloud. This includes the Netflix OSS integrations for Spring Boot apps which include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load Balancing (Ribbon). We will also touch on the Spring Cloud centralised configuration server and deploy these apps to Cloud Foundry.
Deploying Kafka on vSphere with Kubernetes Using the Confluent Operator (Just...confluent
This session starts with the importance of Kafka as an event streaming and messaging platform for application-to-application communication - and gives a quick snapshot of the Confluent Platform. Then the "operators" method for deployment of many app platforms onto Kubernetes is underlined. We then take you step-by-step through a deployment of the Confluent Operator for Kafka on vSphere 7 with Kubernetes and show the benefits of this approach. We also show a second, external, Kafka message producer sending messages into the Kubernetes cluster and a consumer receiving them from there. This shows the ease of deployment, management and testing of Kafka with the Confluent Operator and Platform. Mention will be made about using a standalone Kubernetes cluster also. Attendees will leave with a good understanding of Kafka on modern vSphere.
Staying Ahead of the Curve with Spring and Cassandra 4 (SpringOne 2020)Alexandre Dutra
Spring and Cassandra are two of the leading technologies for building cloud native applications. In this talk by the project leads for Spring Data and the Cassandra Java Driver, we’ll cover the recent improvements in the latest and greatest versions of Spring Boot, Spring Data Cassandra, Cassandra 4.0 and the Cassandra Java driver. Whether you’re a novice, intermediate, or expert developer, this content will help you get started or migrate your existing application to the latest innovations. We’ll illustrate these new concepts with code samples and snippets that you can find on GitHub to help you get things done faster with these tools.
DIMT 2023 SG - Hands-on Workshop_ Getting started with Confluent Cloud.pdfconfluent
This document provides an agenda and overview for a hands-on workshop on using Confluent Cloud. The workshop will demonstrate connecting a MySQL database to MongoDB using Confluent Cloud. Attendees will get started with a Confluent Cloud account and environment, process data streams using ksqlDB, and govern data streaming across systems with Stream Governance. The document includes instructions for accessing the workshop materials and credentials via QR codes or shortlinks.
Bridge to Cloud: Using Apache Kafka to Migrate to AWSconfluent
Watch this talk here: https://www.confluent.io/online-talks/bridge-to-cloud-apache-kafka-migrate-aws
Speakers: Priya Shivakumar, Director of Product, Confluent + Konstantine Karantasis, Software Engineer, Confluent + Rohit Pujari, Partner Solutions Architect, AWS
Most companies start their cloud journey with a new use case, or a new application. Sometimes these applications can run independently in the cloud, but often times they need data from the on premises datacenter. Existing applications will slowly migrate, but will need a strategy and the technology to enable a multi-year migration.
In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka service, to migrate to AWS. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.
In this online talk we will cover:
•How to take the first step in migrating to AWS
•How to reliably sync your on premises applications using a persistent bridge to cloud
•Learn how Confluent Cloud can make this daunting task simple, reliable and performant
•See a demo of the hybrid-cloud and multi-region deployment of Apache Kafka
Walking Through Spring Cloud Data FlowVMware Tanzu
This document provides an overview and safe harbor statement for the "Walking Through Spring Cloud Data Flow" presentation at SpringOne 2020. It outlines that any information provided is intended for informational purposes only and is subject to change. The presentation will cover topics like Spring Cloud Stream for event-driven applications, Spring Cloud Task for batch applications, application development, deployment and monitoring using Spring Cloud Data Flow. It also provides details about the presenters and includes a sample demo data.
Resilient Microservices with Spring CloudVMware Tanzu
This document discusses building resilient microservices with Spring Cloud. It defines criteria for cloud native, cloud resilient, cloud friendly, and cloud ready applications. It also describes Spring Cloud features for service discovery, circuit breakers, and gateway routing that help meet these criteria. The presentation includes demos of Spring Cloud service discovery and circuit breakers, and a Kubernetes demo using Spring Cloud Kubernetes.
Spring Boot provides a convention-over-configuration approach for building stand-alone, production-grade Spring-based Applications that you can "just run". It takes an opinionated view of configuring Spring applications and applications can be started using a single command. Spring Boot Actuator provides production-ready features to monitor and manage applications with no additional coding required.
The document discusses software reliability engineering (SRE) practices for managing Kubernetes clusters. It describes how SRE teams use infrastructure as code, continuous integration/delivery (CI/CD), monitoring, logging, incident response processes, and other methodologies to ensure reliability and reduce toil. The document recommends that organizations adopt SRE practices gradually by starting small, defining standards, and working closely with development teams.
Spring Cloud Function: Where We Were, Where We Are, and Where We’re GoingVMware Tanzu
This document summarizes a presentation on Spring Cloud Function. It discusses functions and Spring Cloud Function, AWS Lambda integration, routing functions, streaming with Cloud Function and Solace, and demos of Cloud Function on AWS Lambda and with streaming. It also provides information about the presenters and resources for further information.
Unlock Sustainable Kubernetes Services for TASVMware Tanzu
SpringOne 2020
Unlock Sustainable Kubernetes Services for TAS
Sara Arntz, Manager, Product Management at VMware
Tiffany Jordan, Product Lead at VMware
Mikey Boldt, Software Engineer at VMware
The document provides advice for writing documentation based on Hemingway's writing style. It recommends focusing documentation on intermediate users trying to become experts, and accounting for different learning styles like visual and kinesthetic. Key advice includes being minimalist with words, using present tense, preferring shorter words, being direct, making information stick through formatting and diagrams, writing for everyone by avoiding cultural references, and testing documentation through peer review.
“Sh*^%# on Fire, Yo!”: A True Story Inspired by Real EventsVMware Tanzu
SpringOne 2020
“Sh*^%# on Fire, Yo!”: A True Story Inspired by Real Events
James Webb, MTS at T-Mobile
Brendan Aye, Technical Director, Platform Architecture at T-Mobile
Simplify Cloud Applications using Spring CloudRamnivas Laddad
This document discusses how to simplify cloud applications using Spring Cloud. It describes Spring Cloud's goals of abstracting over cloud services and environments. It covers using Java and XML configuration, scanning for services, and acquiring services. It also discusses Spring Cloud's extensibility for cloud platforms, services, and frameworks. The document includes demos of using Spring Cloud on Cloud Foundry, Heroku, and with Hadoop. It describes the integration with Spring Boot.
This presentation provides an overview and status update of the Steeltoe software framework. It discusses Steeltoe's components for observability, security, scalability, and ease of use. Recent updates include improvements to abstractions, configuration, connectors, discovery, management, and messaging. Future plans include further Kubernetes support, tooling enhancements, and making streams and data flow integration production-ready. The presentation encourages attendees to stay updated on Steeltoe's documentation, GitHub, Slack channel, and social media accounts.
Cloud Native Microservices with Spring CloudConor Svensson
In this talk we are going to discuss some of the key components of Spring Cloud. This includes the Netflix OSS integrations for Spring Boot apps which include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load Balancing (Ribbon). We will also touch on the Spring Cloud centralised configuration server and deploy these apps to Cloud Foundry.
Deploying Kafka on vSphere with Kubernetes Using the Confluent Operator (Just...confluent
This session starts with the importance of Kafka as an event streaming and messaging platform for application-to-application communication - and gives a quick snapshot of the Confluent Platform. Then the "operators" method for deployment of many app platforms onto Kubernetes is underlined. We then take you step-by-step through a deployment of the Confluent Operator for Kafka on vSphere 7 with Kubernetes and show the benefits of this approach. We also show a second, external, Kafka message producer sending messages into the Kubernetes cluster and a consumer receiving them from there. This shows the ease of deployment, management and testing of Kafka with the Confluent Operator and Platform. Mention will be made about using a standalone Kubernetes cluster also. Attendees will leave with a good understanding of Kafka on modern vSphere.
Staying Ahead of the Curve with Spring and Cassandra 4 (SpringOne 2020)Alexandre Dutra
Spring and Cassandra are two of the leading technologies for building cloud native applications. In this talk by the project leads for Spring Data and the Cassandra Java Driver, we’ll cover the recent improvements in the latest and greatest versions of Spring Boot, Spring Data Cassandra, Cassandra 4.0 and the Cassandra Java driver. Whether you’re a novice, intermediate, or expert developer, this content will help you get started or migrate your existing application to the latest innovations. We’ll illustrate these new concepts with code samples and snippets that you can find on GitHub to help you get things done faster with these tools.
DIMT 2023 SG - Hands-on Workshop_ Getting started with Confluent Cloud.pdfconfluent
This document provides an agenda and overview for a hands-on workshop on using Confluent Cloud. The workshop will demonstrate connecting a MySQL database to MongoDB using Confluent Cloud. Attendees will get started with a Confluent Cloud account and environment, process data streams using ksqlDB, and govern data streaming across systems with Stream Governance. The document includes instructions for accessing the workshop materials and credentials via QR codes or shortlinks.
Bridge to Cloud: Using Apache Kafka to Migrate to AWSconfluent
Watch this talk here: https://www.confluent.io/online-talks/bridge-to-cloud-apache-kafka-migrate-aws
Speakers: Priya Shivakumar, Director of Product, Confluent + Konstantine Karantasis, Software Engineer, Confluent + Rohit Pujari, Partner Solutions Architect, AWS
Most companies start their cloud journey with a new use case, or a new application. Sometimes these applications can run independently in the cloud, but often times they need data from the on premises datacenter. Existing applications will slowly migrate, but will need a strategy and the technology to enable a multi-year migration.
In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka service, to migrate to AWS. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.
In this online talk we will cover:
•How to take the first step in migrating to AWS
•How to reliably sync your on premises applications using a persistent bridge to cloud
•Learn how Confluent Cloud can make this daunting task simple, reliable and performant
•See a demo of the hybrid-cloud and multi-region deployment of Apache Kafka
Confluent Operator as Cloud-Native Kafka Operator for KubernetesKai Wähner
Agenda:
- Cloud Native vs. SaaS / Serverless Kafka
- The Emergence of Kubernetes
- Kafka on K8s Deployment Challenges
- Confluent Operator as Kafka Operator
- Q&A
Confluent Operator enables you to:
Provisioning, management and operations of Confluent Platform (including ZooKeeper, Apache Kafka, Kafka Connect, KSQL, Schema Registry, REST Proxy, Control Center)
Deployment on any Kubernetes Platform (Vanilla K8s, OpenShift, Rancher, Mesosphere, Cloud Foundry, Amazon EKS, Azure AKS, Google GKE, etc.)
Automate provisioning of Kafka pods in minutes
Monitor SLAs through Confluent Control Center or Prometheus
Scale Kafka elastically, handle fail-over & Automate rolling updates
Automate security configuration
Built on our first hand knowledge of running Confluent at scale
Fully supported for production usage
Streaming Time Series Data With Kenny Gorman and Elena Cuevas | Current 2022HostedbyConfluent
Streaming Time Series Data With Kenny Gorman and Elena Cuevas | Current 2022
Modern streaming use cases are generating massive amounts of data - much of it needs to be organized and queried over time. The sheer amount and complexity of this problem presents new challenges for data engineers and developers alike.
To solve this problem Apache Kafka and MongoDB Time Series collections are a powerful combination. In this talk, Kenny Gorman and Elena Cuevas will present how Apache Kafka on Confluent Cloud can stream massive amounts of data to Time Series Collections via the MongoDB Connector for Apache Kafka. Elena and Kenny will discuss the required configuration details and critical components of Confluent Cloud and MongoDB Atlas as well as some tips, tricks and best practices.
You will leave armed with the knowledge of how Confluent Cloud, Apache Kafka, MongoDB Atlas, and Time Series collections fit into your event-driven architecture.
This document summarizes a presentation about deploying PHP applications to Cloud Foundry. The presentation covers Cloud Foundry concepts like buildpacks, services, and scaling applications. It includes demos of pushing a simple PHP app and binding it to a MySQL database service, as well as scaling the app and performing zero downtime deployments. The presentation is aimed at PHP developers and helping them understand how to design their applications to take advantage of Cloud Foundry and the cloud.
At this joint NYC Cloud Foundry and NY PHP meetup, we'll discuss the shift to Platform-as-a-Service and what it means for PHP development on the cloud.
First, we'll take a look at the "traditional" cloud Infrastructure-as-a-Service (virtual servers and disks) model and describe how Platform-as-a-Service builds upon it to provide the runtimes and data services for hosting PHP applications.
We'll then demonstrate how a PHP developer can use buildpacks and services within a Cloud Foundry PaaS to deploy scalable and resilient apps to his or her cloud of choice.
Along the way we'll compare the variety of buildpacks available to PHP developers, show techniques for binding to services, and highlight best practices for creating born-on-the-cloud apps based on a microservices architecture.
Special thanks to Dan Mikusa for helping with the buildpack comparison.
PHP developers: Please give all three build packs a try. Provide your feedback and submit pull requests on GitHub.
Devoxx 2018 - Pivotal and AxonIQ - Quickstart your event driven architectureBen Wilcock
Devoxx Belgium 2018 - Let Pivotal and AxonIQ take you on a journey into Axon Trader. Axon Trader is a new open-source reference architecture that demonstrates how to use Spring, Axon and Pivotal Cloud Foundry to deliver evolutionary microservice applications to prod in minutes.
The accompanying YouTube video can be found here: https://www.youtube.com/watch?v=15hzHUI4WNA
Why Cloud-Native Kafka Matters: 4 Reasons to Stop Managing it YourselfDATAVERSITY
The document discusses 4 reasons to use a cloud-native Kafka service like Confluent Cloud instead of managing Kafka yourself. It notes that managing Kafka requires significant investment of time and resources for tasks like architecture planning, cluster sizing, software upgrades, and more. A cloud-native service handles all operational overhead automatically so you can focus on your core business. Confluent Cloud specifically offers elastic scaling, infinite data retention, global access across clouds, and integrations to make it a complete data streaming platform.
Break data silos with real-time connectivity using Confluent Cloud Connectorsconfluent
Connectors integrate Apache Kafka® with external data systems, enabling you to move away from a brittle spaghetti architecture to one that is more streamlined, secure, and future-proof. However, if your team still spends multiple dev cycles building and managing connectors using just open source Kafka Connect, it’s time to consider a faster and cost-effective alternative.
[WSO2 API Day Toronto 2019] Cloud-native Integration for the EnterpriseWSO2
This deck covers, the importance of application integration in microservices and cloud-native architecture, how microservices and cloud-native applications are integrated, service Mesh vs Application Integration, key application integration requirements, and patterns, cloud-native technologies for application integration and WSO2 offerings in cloud-native integration space.
Want to know if we'll be heading your way next? Find out here: https://wso2.com/events/
Eseguire Applicazioni Cloud-Native con Pivotal Cloud Foundry su Google Cloud ...VMware Tanzu
Eseguire Applicazioni Cloud-Native con Pivotal Cloud Foundry su Google Cloud Platform (Pivotal Cloud-Native Workshop: Milan)
Fabio Marinelli
7 February 2018
This document discusses traditional monolithic applications and their lack of scalability, deployability, and flexibility compared to modern distributed applications. It describes how modern applications are built to be scalable, deployable, and resilient by separating different parts of the application and leveraging cloud infrastructure and platforms. The document provides an overview of VMware's vFabric suite for building, running, and managing modern applications.
Developing and deploying windows azure applicationsManish Corriea
This document discusses getting started with Windows Azure tools and services. It covers building a new cloud service using Visual Studio templates, migrating an existing ASP.NET application to Azure, and managing SQL Azure databases. Key Azure concepts are explained like roles, instances, and storage. Demo sections show creating a cloud project, deploying to Azure, and using SQL Azure and caching services. Authentication, authorization, and connecting on-premises systems to Azure are also addressed.
The document discusses various AWS services including Elastic Load Balancing, Auto Scaling, AWS CloudFormation, and Amazon CloudFront. It provides information on:
- How Elastic Load Balancing distributes traffic across multiple targets to improve scalability. It describes different types of load balancers.
- How Auto Scaling automatically launches or terminates EC2 instances based on user-defined policies to dynamically scale capacity as needed.
- How AWS CloudFormation allows defining infrastructure as code using templates to deploy and manage AWS resources in a reproducible and predictable manner.
- How Amazon CloudFront is a global content delivery network (CDN) that securely delivers data, videos, applications, and APIs to customers with low latency and high transfer
This document discusses microservices architecture using Spring Cloud and related technologies. It provides an overview of microservices and cloud native applications. It then covers Spring Boot, Spring Cloud, and Netflix OSS projects that can be used to build microservices. Specific Spring Cloud features like service registration, circuit breakers, and API gateways are demonstrated. The role of Pivotal in contributing to open source projects and providing Spring Cloud services is also mentioned.
Pivotal CloudFoundry on Google cloud platformRonak Banka
This document is a slide presentation by Ronak Banka on using Pivotal Cloud Foundry (PCF) and Google Cloud Platform (GCP) together. It discusses how PCF provides a platform for deploying applications on GCP that enables both developer and operator productivity through features like automated deployments, service integration, and operations. It also highlights benefits of using PCF on GCP like performance, scale, cost savings, and access to differentiated GCP services.
Handling Asynchronous Workloads With OpenShift and Iron.ioIvan Dwyer
This document discusses event-driven computing and how Iron.io fits into handling asynchronous workloads in modern cloud applications. It describes how Iron.io allows developers to build event-driven workflows by triggering tasks on events, choreographing workflows, and running processes at scale without managing infrastructure. The document highlights key Iron.io concepts like workers, runners, and queues and explains how developers can use Iron.io to decouple application components and respond to events. It also provides examples of how companies like Bleacher Report, Hotel Tonight, and Untappd use Iron.io to improve performance.
SpringBoot and Spring Cloud Service for MSAOracle Korea
Cloud 환경에서 MSA를 하기 위해서 Service Discovery, Circuit Breaker 등을 사용하여 Application을 개발하는 방법과 SpringBoot 와 Spring Cloud Service 를 사용하는데, Cloud에서 Kubernetes를 위시한 Container 생태계가 어떻게 MSA에 영향을 미치는지 알아봅니다.
WebSphere Application Server - Meeting Your Cloud and On-Premise DemandsIan Robinson
WebSphere Application Server provides a composable Java EE runtime called Liberty that supports Java EE 7 and allows applications to be flexibly deployed on-premises or to the cloud. Liberty includes over 50 individual features that can be mixed and matched as needed. IBM is committed to continued Java EE 7 leadership for both Liberty and traditional WebSphere Application Server distributions.
What AI Means For Your Product Strategy And What To Do About ItVMware Tanzu
The document summarizes Matthew Quinn's presentation on "What AI Means For Your Product Strategy And What To Do About It" at Denver Startup Week 2023. The presentation discusses how generative AI could impact product strategies by potentially solving problems companies have ignored or allowing competitors to create new solutions. Quinn advises product teams to evaluate their strategies and roadmaps, ensure they understand user needs, and consider how AI may change the problems being addressed. He provides examples of how AI could influence product development for apps in home organization and solar sales. Quinn concludes by urging attendees not to ignore AI's potential impacts and to have hard conversations about emerging threats and opportunities.
Make the Right Thing the Obvious Thing at Cardinal Health 2023VMware Tanzu
This document discusses the evolution of internal developer platforms and defines what they are. It provides a timeline of how technologies like infrastructure as a service, public clouds, containers and Kubernetes have shaped developer platforms. The key aspects of an internal developer platform are described as providing application-centric abstractions, service level agreements, automated processes from code to production, consolidated monitoring and feedback. The document advocates that internal platforms should make the right choices obvious and easy for developers. It also introduces Backstage as an open source solution for building internal developer portals.
Enhancing DevEx and Simplifying Operations at ScaleVMware Tanzu
Cardinal Health introduced Tanzu Application Service in 2016 and set up foundations for cloud native applications in AWS and later migrated to GCP in 2018. TAS has provided Cardinal Health with benefits like faster development of applications, zero downtime for critical applications, hosting over 5,000 application instances, quicker patching for security vulnerabilities, and savings through reduced lead times and staffing needs.
Dan Vega discussed upcoming changes and improvements in Spring including Spring Boot 3, which will have support for JDK 17, Jakarta EE 9/10, ahead-of-time compilation, improved observability with Micrometer, and Project Loom's virtual threads. Spring Boot 3.1 additions were also highlighted such as Docker Compose integration and Spring Authorization Server 1.0. Spring Boot 3.2 will focus on embracing virtual threads from Project Loom to improve scalability of web applications.
Platforms, Platform Engineering, & Platform as a ProductVMware Tanzu
This document discusses building platforms as products and reducing developer toil. It notes that platform engineering now encompasses PaaS and developer tools. A quote from Mercedes-Benz emphasizes building platforms for developers, not for the company itself. The document contrasts reactive, ticket-driven approaches with automated, self-service platforms and products. It discusses moving from considering platforms as a cost center to experts that drive business results. Finally, it provides questions to identify sources of developer toil, such as issues with workstation setup, running software locally, integration testing, committing changes, and release processes.
This document provides an overview of building cloud-ready applications in .NET. It defines what makes an application cloud-ready, discusses common issues with legacy applications, and recommends design patterns and practices to address these issues, including loose coupling, high cohesion, messaging, service discovery, API gateways, and resiliency policies. It includes code examples and links to additional resources.
Dan Vega discussed new features and capabilities in Spring Boot 3 and beyond, including support for JDK 17, Jakarta EE 9, ahead-of-time compilation, observability with Micrometer, Docker Compose integration, and initial support for Project Loom's virtual threads in Spring Boot 3.2 to improve scalability. He provided an overview of each new feature and explained how they can help Spring applications.
Spring Cloud Gateway - SpringOne Tour 2023 Charles Schwab.pdfVMware Tanzu
Spring Cloud Gateway is a gateway that provides routing, security, monitoring, and resiliency capabilities for microservices. It acts as an API gateway and sits in front of microservices, routing requests to the appropriate microservice. The gateway uses predicates and filters to route requests and modify requests and responses. It is lightweight and built on reactive principles to enable it to scale to thousands of routes.
This document appears to be from a VMware Tanzu Developer Connect presentation. It discusses Tanzu Application Platform (TAP), which provides a developer experience on Kubernetes across multiple clouds. TAP aims to unlock developer productivity, build rapid paths to production, and coordinate the work of development, security and operations teams. It offers features like pre-configured templates, integrated developer tools, centralized visibility and workload status, role-based access control, automated pipelines and built-in security. The presentation provides examples of how these capabilities improve experiences for developers, operations teams and security teams.
The document provides information about a Tanzu Developer Connect Workshop on Tanzu Application Platform. The agenda includes welcome and introductions on Tanzu Application Platform, followed by interactive hands-on workshops on the developer experience and operator experience. It will conclude with a quiz, prizes and giveaways. The document discusses challenges with developing on Kubernetes and how Tanzu Application Platform aims to improve the developer experience with features like pre-configured templates, developer tools integration, rapid iteration and centralized management.
The Tanzu Developer Connect is a hands-on workshop that dives deep into TAP. Attendees receive a hands on experience. This is a great program to leverage accounts with current TAP opportunities.
The Tanzu Developer Connect is a hands-on workshop that dives deep into TAP. Attendees receive a hands on experience. This is a great program to leverage accounts with current TAP opportunities.
Simplify and Scale Enterprise Apps in the Cloud | Dallas 2023VMware Tanzu
This document discusses simplifying and scaling enterprise Spring applications in the cloud. It provides an overview of Azure Spring Apps, which is a fully managed platform for running Spring applications on Azure. Azure Spring Apps handles infrastructure management and application lifecycle management, allowing developers to focus on code. It is jointly built, operated, and supported by Microsoft and VMware. The document demonstrates how to create an Azure Spring Apps service, create an application, and deploy code to the application using three simple commands. It also discusses features of Azure Spring Apps Enterprise, which includes additional capabilities from VMware Tanzu components.
SpringOne Tour: Deliver 15-Factor Applications on Kubernetes with Spring BootVMware Tanzu
The document discusses 15 factors for building cloud native applications with Kubernetes based on the 12 factor app methodology. It covers factors such as treating code as immutable, externalizing configuration, building stateless and disposable processes, implementing authentication and authorization securely, and monitoring applications like space probes. The presentation aims to provide an overview of the 15 factors and demonstrate how to build cloud native applications using Kubernetes based on these principles.
SpringOne Tour: The Influential Software EngineerVMware Tanzu
The document discusses the importance of culture in software projects and how to influence culture. It notes that software projects involve people and personalities, not just technology. It emphasizes that culture informs everything a company does and is very difficult to change. It provides advice on being aware of your company's culture, finding ways to inculcate good cultural values like writing high-quality code, and approaches for influencing decision makers to prioritize culture.
SpringOne Tour: Domain-Driven Design: Theory vs PracticeVMware Tanzu
This document discusses domain-driven design, clean architecture, bounded contexts, and various modeling concepts. It provides examples of an e-scooter reservation system to illustrate domain modeling techniques. Key topics covered include identifying aggregates, bounded contexts, ensuring single sources of truth, avoiding anemic domain models, and focusing on observable domain behaviors rather than implementation details.
Explaining GitHub Actions Failures with Large Language Models Challenges, In...ssuserb14185
GitHub Actions (GA) has become the de facto tool that developers use to automate software workflows, seamlessly building, testing, and deploying code. Yet when GA fails, it disrupts development, causing delays and driving up costs. Diagnosing failures becomes especially challenging because error logs are often long, complex and unstructured. Given these difficulties, this study explores the potential of large language models (LLMs) to generate correct, clear, concise, and actionable contextual descriptions (or summaries) for GA failures, focusing on developers’ perceptions of their feasibility and usefulness. Our results show that over 80% of developers rated LLM explanations positively in terms of correctness for simpler/small logs. Overall, our findings suggest that LLMs can feasibly assist developers in understanding common GA errors, thus, potentially reducing manual analysis. However, we also found that improved reasoning abilities are needed to support more complex CI/CD scenarios. For instance, less experienced developers tend to be more positive on the described context, while seasoned developers prefer concise summaries. Overall, our work offers key insights for researchers enhancing LLM reasoning, particularly in adapting explanations to user expertise.
https://arxiv.org/abs/2501.16495
How to Batch Export Lotus Notes NSF Emails to Outlook PST Easily?steaveroggers
Migrating from Lotus Notes to Outlook can be a complex and time-consuming task, especially when dealing with large volumes of NSF emails. This presentation provides a complete guide on how to batch export Lotus Notes NSF emails to Outlook PST format quickly and securely. It highlights the challenges of manual methods, the benefits of using an automated tool, and introduces eSoftTools NSF to PST Converter Software — a reliable solution designed to handle bulk email migrations efficiently. Learn about the software’s key features, step-by-step export process, system requirements, and how it ensures 100% data accuracy and folder structure preservation during migration. Make your email transition smoother, safer, and faster with the right approach.
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Meet the Agents: How AI Is Learning to Think, Plan, and CollaborateMaxim Salnikov
Imagine if apps could think, plan, and team up like humans. Welcome to the world of AI agents and agentic user interfaces (UI)! In this session, we'll explore how AI agents make decisions, collaborate with each other, and create more natural and powerful experiences for users.
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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.
Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik
Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe.
We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved?
Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security.
Talk from SciFiDevCon 2025
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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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What Do Contribution Guidelines Say About Software Testing? (MSR 2025)Andre Hora
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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Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
2. About Us
Ryan Baxter
Spring Cloud Software Engineer
VMware
github.com/ryanjbaxter
@ryanjbaxter
Olga Maciaszek-Sharma
Spring Cloud Software Engineer
VMware
github.com/OlgaMaciaszek
@olga_maciaszek
3. Spring Cloud
Spring Cloud is the de facto standard in cloud-native Java. It
includes cloud-ready solutions for your cloud-native
challenges and improves the performance, reliability,
management, and security of your cloud-based applications.
➔ API Gateway
➔ Service registry
➔ Configuration server
➔ Distributed Tracing
➔ Circuit Breakers
➔ Load Balancer
➔ API Contract Definition & Testing
➔ Cloud Service Connectors (AWS, etc.)
➔ Streaming Data
➔ Serverless & Functions
Spring Cloud has everything you need to build robust, reliable cloud-native applications...
Introduction To Spring Cloud: 12:05 PM EST
4. Config
It delivers config straight to your apps and offers integration
with multiple version control systems to keep your config safe
You can customize where the config server retrieves
configuration from
Implement the EnvironmentRepository interface
Create a bean for your custom EnvironmentRepository
5. Gateway
Spring Cloud Gateway puts developers in control of APIs
● Securing and hiding services
● Routing and filtering messages
● Handling load
Spring Cloud Gateway can be customized by adding
● Custom filters
● Custom predicates
● Custom RouteDefinitionLocator
○ Where route definitions are stored
● Transforming payloads
● and much more...
6. Circuit Breaker
Circuit breakers mitigate this problem using sensible defaults
and reliable fallbacks in case of emergency
Spring Cloud CircuitBreaker gives you the choice of three
popular open-source options: Resilience4J, Sentinel, or Hystrix.
You can provide your own circuit breaker implementations for
other libraries
Spring Cloud CircuitBreaker offers the developer the ability to
customize the configuration of the underlying implementation
7. Bus
Spring Cloud Bus links nodes of a distributed system with a
lightweight message broker
You can use Bus to publish your own events and target your
own services
8. Spring Cloud LoadBalancer
Great UXs need great responses. When your apps are under
pressure, spreading the load helps smooth things out
● Pluggable ServiceInstanceListSupplier and
ReactiveServiceInstanceLoadBalancer implementations
● Configuring load-balancing zones
● Configuring the caching mechanism and switching
between different cache implementations
● Configuring LoadBalancer to run health checks
● Configuration (context) per target service
● Implement LoadBalancerLifecycle
9. Spring Cloud OpenFeign
Dynamically created HTTP clients with minimum overhead
and maximum readability
● Switching to a different HTTP client
● Switching to a custom bean (for example, a Decoder) via a
configuration class and via properties
● Setting custom timeouts
● Configuring inheriting beans from the parent context
● Creating Feign Clients manually
● Configuring compression
● Pagination with @CollectionFormat
10. Spring Cloud Contract
Users, customers, and partners need reliable, trustworthy, APIs
● Configuring the Verifier Plugin (Maven and Gradle)
● Contracts on the Producer Side, pushed to Git or an external
Git or artifact repository
● Configuring REST Docs support
● Messaging with different Messaging implementations
● Setting contracts to `inProgress`
● Client-side runtime stubs generation
● Contract Metadata
11. Spring Cloud Sleuth
Debugging distributed applications is a complex and time
consuming chore
● Using Brave Tracer to manually configure Span lifecycles
● Declaratively configuring Spans with annotations
● Naming spans
● Manually instrument Sleuth for Project Reactor