A magical tour through the Industrial Revolution, Complex Adaptive Systems, and Turtles All the Way Down, with shout outs to Cloud Foundry, BOSH, and Spring Boot.
Deploying Microservices to Cloud FoundryMatt Stine
As presented at Cloud Foundry Summit 2015 in Santa Clara, CA.
Now that you have Cloud Foundry, what are you going to do with it?
This presentation will show using Spring Cloud on Cloud Foundry to quickly leverage common microservice patterns, including distributed configuration management, service discovery, intelligent routing, load balancing, and fault tolerance.
Using Spring Cloud on Cloud Foundry, developers can take advantage of the cloud native microservice architectures pioneered by those building the web at places like Twitter, LinkedIn, and Netflix. In many cases they can do so running the same code with Spring Cloud wrapping the same battle-tested open source components those companies are running in production.
The document discusses the journey to cloud native applications and platforms. It advocates for platforms that provide simple rules and explicit contracts while enabling complex emergent behaviors. Specific platforms like Spring Boot, Spring Cloud, and Pivotal Cloud Foundry are highlighted that aim to provide standardized "omakase" style frameworks and services. The document argues such platforms help development teams avoid recreating infrastructure components and focus on delivering business capabilities through microservices.
Lattice: A Cloud-Native Platform for Your Spring ApplicationsMatt Stine
As presented at SpringOne2GX 2015 in Washington, DC.
Lattice is a cloud-native application platform that enables you to run your applications in containers like Docker, on your local machine via Vagrant. Lattice includes features like:
Cluster scheduling
HTTP load balancing
Log aggregation
Health management
Lattice does this by packaging a subset of the components found in the Cloud Foundry elastic runtime. The result is an open, single-tenant environment suitable for rapid application development, similar to Kubernetes and Mesos Applications developed using Lattice should migrate unchanged to full Cloud Foundry deployments.
Lattice can be used by Spring developers to spin up powerful micro-cloud environments on their desktops, and can be useful for developing and testing cloud-native application architectures. Lattice already has deep integration with Spring Cloud and Spring XD, and you’ll have the opportunity to see deep dives into both at this year’s SpringOne 2GX. This session will introduce the basics:
Installing Lattice
Lattice’s Architecture
How Lattice Differs from Cloud Foundry
How to Package and Run Your Spring Apps on Lattice
This document discusses strategies for migrating a monolithic Java application to Kubernetes. It covers understanding the technical implications and business value, using tools like Kubernetes, Jenkins X, Helm, Spring Cloud, and Zeebe. The document provides examples for refactoring a monolith into microservices and deploying them to Kubernetes, as well as orchestrating workflows between services using events. Next steps discussed include learning Kubernetes, event-driven architecture with Knative and Spring Cloud, and focusing on optimizing decisions for business value.
Service Mesh Status Quo 2018: 2019年に向けたService Meshの現状課題の整理と考察Yoichi Kawasaki
Slides for Presentation at Container X mas Party with flexy, Dec 2018
Event: https://flexy.connpass.com/event/110839/
関連記事: https://codezine.jp/article/detail/11342
An Open, Open source way to enable your Cloud Native Journeyinwin stack
The document discusses SUSE's open source strategy and product portfolio. It outlines that SUSE is committed to open source, being a leader in the community, and delivering open and flexible technology to customers. It then provides an overview of SUSE's products for application delivery, infrastructure management, software-defined infrastructure, and container management.
Business Track presented by Adam Gunther, Program Director, Cloud Offerings for IBM WebSphere Product Management at IBM.
Are you a developer who uses Eclipse? Do you want to get involved in a project with the goal to provide a first-class Cloud Foundry development environment for Eclipse? If so, then come learn about the Cloud Foundry Integration for Eclipse project. The Cloud Foundry eclipse plug-in allows developers to perform such tasks as deploy applications to Cloud Foundry, view and manage deployed applications and services, and perform direct debugging when using a Micro Cloud Foundry. Come learn more about the current tools and community, what is planned for the future, and ways you can contribute.
Chip Childers discusses the future of Cloud Foundry, which will become the industry standard across many sectors like finance, automotive, IoT, healthcare, government, and more. Cloud Foundry aims to support multi-cloud environments through portable and interoperable applications. It also underlies a growing ecosystem of applications and services. The Cloud Foundry community strives to be pragmatic, diverse, respectful and focused on sharing practical experiences.
1. The document discusses using a new high-efficiency and agile platform to quickly implement cloud-native development.
2. It introduces Pivotal Container Service (PKS) which provides a production-ready container platform for deploying Kubernetes clusters on VMware vSphere.
3. PKS leverages technologies like VMware NSX-T and BOSH to provide capabilities like security, high availability, and auto-scaling for container workloads.
Gluecon Monitoring Microservices and Containers: A ChallengeAdrian Cockcroft
This document discusses the challenges of monitoring microservices and containers. It provides six rules for effective monitoring: 1) spend more time on analysis than data collection, 2) reduce latency of key metrics to under 10 seconds, 3) validate measurement accuracy, 4) make monitoring more available than services monitored, 5) optimize for distributed cloud-native applications, 6) fit metrics to models to understand relationships. It also examines models for infrastructure, flow, and ownership and discusses speed, scale, failures, and testing challenges with microservices.
OpenStack: Changing the Face of Service DeliveryMirantis
Keynote by Lew Tucker, VP and CTO of Cloud Computing at Cisco, at OpenStack Silicon Valley 2015.
As more companies move to software-driven infrastructures, OpenStack opens up new possibilities for traditional network service providers, media production, and content providers. Micro-services, and carrier-grade service delivery become the new watchwords for those companies looking to disrupt traditional players with virtualized services running on OpenStack.
Part 3: Enabling Continuous Delivery (Pivotal Cloud Platform Roadshow)VMware Tanzu
Enabling Continuous Delivery
The primary goals of this session are to:
Give a brief, platform-agnostic overview of the “why” and “what” of Continuous Delivery. The purpose is to simply educate the student and bring everyone to the same level.
Explain how Cloud Foundry benefits Continuous Delivery.
Provide a hands-on lab experience where the student takes a Spring Boot microservice application and builds a continuous delivery pipeline for it using Jenkins, Artifactory, and Cloud Foundry. This is all done using free trial SaaS versions of the software.
Pivotal Cloud Platform Roadshow is coming to a city near you!
Join Pivotal technologists and learn how to build and deploy great software on a modern cloud platform. Find your city and register now http://bit.ly/1poA6PG
The presentation focuses on infrastructure types suitable for Cloud Foundry. It also explains the mechanism of communication between the PaaS and different cloud providers.
Open stack + Cloud Foundry: Palo Alto Meetup February 2015Joshua McKenty
This document discusses automation and Cloud Foundry. It notes that automation is often seen as a frightening force. It then provides an overview of Cloud Foundry, describing it as a leading open source platform-as-a-service that is language and framework agnostic and manages both virtual machines and containers. It discusses how Cloud Foundry and OpenStack can work together by leveraging shared components and an overlapping ecosystem.
Container orchestration is the use of declarative configuration and imperative commands to deploy, provision, and execute containerized workloads. It automates the distribution of preprovisioned container images, injection of configuration, scheduling onto machines, lifecycle-management, and monitoring of applications, microservices, and jobs in the cloud. The orchestration space is fast moving and full of competing products, platforms, and frameworks. How do you choose the right one for your requirements?
Karl Isenberg explores the features of several container orchestrators—breaking down the feature sets and characteristics into categories, and scoring multiple solutions against each other while comparing them to other cloud platform layers like infrastructure (IaaS), applications platforms (PaaS), serverless architecture (FaaS), and distributed operating systems—to explain what functionality to look for in a container orchestrator, which products are good at which feature sets, and how you can apply this methodology in your research of other container orchestrators.
This document summarizes an OpenStack Foundation event in Vietnam in August 2019. It introduces two OpenStack Foundation employees, Ildiko Vancsa and Kendall Nelson, who have both contributed to multiple OpenStack projects. It provides an overview of the OpenStack Foundation, including that it has 105,000 members from 187 countries. It also summarizes several OpenStack projects, such as OpenStack, Airship, StarlingX, Zuul, and KataContainers. It emphasizes that community is what gives Open Source its power and discusses ways the OpenStack Foundation builds community, such as through Outreachy, diversity programs, and the OpenStack Upstream Institute.
“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
プレゼンテーションスライド @ Serverless Meetup Tokyo #14
Presentation Slides for Breakout session at Serverless Meetup Tokyo #14
https://serverless.connpass.com/event/143446/
Cloud Native Computing: What does it mean, and is your app Cloud Native?Michael O'Sullivan
There is a growing choice of Cloud Platforms available today - these provide services and tooling for developers to deploy applications to the Cloud. The Cloud has brought considerations such as elastic scalability and distributed computing to the forefront of modern application architectures. Over time, a new type of application has now emerged, known as the Cloud Native Application. Such an application is said to be purpose-built for deployment on the Cloud. This has even led to a new paradigm known as Cloud Native Computing. In practice though, it is easy to be confused or unclear as to what Cloud Native means. How does a Cloud Native approach change the way in which developers code applications? How does this influence the architecture of an application? Does it force you to use a certain set of technologies such as Containers? Or, does it mean that an application that simply runs and scales on a distributed Cloud Platform is somehow considered to be running natively on the Cloud? Cloud Native Computing impacts on the answers to each of these questions, and applications running on the Cloud may not be considered Cloud Native at all.
In this talk, the meaning of Cloud Native will be explored and clarified. With practical examples where appropriate, the concepts behind a Cloud Native Application will be demonstrated. These examples will not only touch on the common terms and phrases around Cloud Native Computing such as DevOps, Microservices, The 12-Factor App methodology, but also on the technologies that have driven the creation this new paradigm, such as Cloud Foundry, Docker, and Kubernetes. How these technologies are used to deploy and scale Cloud Native Applications on "Platform as a Service" (PaaS) Cloud Platforms will also be presented.
At the conclusion, what is considered a Cloud Native Application and why should be clear - the attributes and typical architecture of such an application, as well as how technologies and PaaS services can be used to drive these applications on the cloud.
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.
プレゼンテーションスライド @ DevLOVE X 2019
Presentation Slides for Breakout session at DevLOVE X 2019
https://devlove.wixsite.com/devlovex
The document discusses migrating to cloud native solutions. It defines cloud native as an approach that exploits the advantages of cloud computing using containers, microservices, and other modern technologies. This allows applications to be scalable, resilient, and manageable. The document outlines the benefits of cloud native and provides a "trail map" to transitioning applications. It also discusses common challenges like technical debt and failing to meet CI/CD expectations, and provides recommendations to address them such as automating processes and simplifying architectures.
Managing Multi-hypervisor OpenStack Cloud with Single Virtual NetworkPLUMgrid
1. The document discusses managing a multi-hypervisor OpenStack cloud with a single virtual network using PLUMgrid's SDN solution.
2. PLUMgrid ONS allows connectivity between KVM and ESXi workloads across a single tenant using OpenStack Heat templates and Neutron APIs.
3. The solution provides micro-segmentation, security policies out of the box, and automation to create and replicate resources, while optimizing existing hypervisor investments in a multi-hypervisor OpenStack environment.
Reactive Fault Tolerant Programming with Hystrix and RxJavaMatt Stine
This document discusses reactive fault tolerant programming using Hystrix and RxJava. It begins with an overview of microservices architecture and how latency can occur between services. It then introduces futures and CompletableFutures as ways to allow asynchronous and parallel processing. RxJava is presented as a reactive programming library that can be used to compose asynchronous and event-based programs. Hystrix is discussed as a library for implementing the circuit breaker pattern to handle failures gracefully in distributed systems. The document provides examples of using RxJava and Hystrix to build fault tolerant reactive microservices.
Chip Childers discusses the future of Cloud Foundry, which will become the industry standard across many sectors like finance, automotive, IoT, healthcare, government, and more. Cloud Foundry aims to support multi-cloud environments through portable and interoperable applications. It also underlies a growing ecosystem of applications and services. The Cloud Foundry community strives to be pragmatic, diverse, respectful and focused on sharing practical experiences.
1. The document discusses using a new high-efficiency and agile platform to quickly implement cloud-native development.
2. It introduces Pivotal Container Service (PKS) which provides a production-ready container platform for deploying Kubernetes clusters on VMware vSphere.
3. PKS leverages technologies like VMware NSX-T and BOSH to provide capabilities like security, high availability, and auto-scaling for container workloads.
Gluecon Monitoring Microservices and Containers: A ChallengeAdrian Cockcroft
This document discusses the challenges of monitoring microservices and containers. It provides six rules for effective monitoring: 1) spend more time on analysis than data collection, 2) reduce latency of key metrics to under 10 seconds, 3) validate measurement accuracy, 4) make monitoring more available than services monitored, 5) optimize for distributed cloud-native applications, 6) fit metrics to models to understand relationships. It also examines models for infrastructure, flow, and ownership and discusses speed, scale, failures, and testing challenges with microservices.
OpenStack: Changing the Face of Service DeliveryMirantis
Keynote by Lew Tucker, VP and CTO of Cloud Computing at Cisco, at OpenStack Silicon Valley 2015.
As more companies move to software-driven infrastructures, OpenStack opens up new possibilities for traditional network service providers, media production, and content providers. Micro-services, and carrier-grade service delivery become the new watchwords for those companies looking to disrupt traditional players with virtualized services running on OpenStack.
Part 3: Enabling Continuous Delivery (Pivotal Cloud Platform Roadshow)VMware Tanzu
Enabling Continuous Delivery
The primary goals of this session are to:
Give a brief, platform-agnostic overview of the “why” and “what” of Continuous Delivery. The purpose is to simply educate the student and bring everyone to the same level.
Explain how Cloud Foundry benefits Continuous Delivery.
Provide a hands-on lab experience where the student takes a Spring Boot microservice application and builds a continuous delivery pipeline for it using Jenkins, Artifactory, and Cloud Foundry. This is all done using free trial SaaS versions of the software.
Pivotal Cloud Platform Roadshow is coming to a city near you!
Join Pivotal technologists and learn how to build and deploy great software on a modern cloud platform. Find your city and register now http://bit.ly/1poA6PG
The presentation focuses on infrastructure types suitable for Cloud Foundry. It also explains the mechanism of communication between the PaaS and different cloud providers.
Open stack + Cloud Foundry: Palo Alto Meetup February 2015Joshua McKenty
This document discusses automation and Cloud Foundry. It notes that automation is often seen as a frightening force. It then provides an overview of Cloud Foundry, describing it as a leading open source platform-as-a-service that is language and framework agnostic and manages both virtual machines and containers. It discusses how Cloud Foundry and OpenStack can work together by leveraging shared components and an overlapping ecosystem.
Container orchestration is the use of declarative configuration and imperative commands to deploy, provision, and execute containerized workloads. It automates the distribution of preprovisioned container images, injection of configuration, scheduling onto machines, lifecycle-management, and monitoring of applications, microservices, and jobs in the cloud. The orchestration space is fast moving and full of competing products, platforms, and frameworks. How do you choose the right one for your requirements?
Karl Isenberg explores the features of several container orchestrators—breaking down the feature sets and characteristics into categories, and scoring multiple solutions against each other while comparing them to other cloud platform layers like infrastructure (IaaS), applications platforms (PaaS), serverless architecture (FaaS), and distributed operating systems—to explain what functionality to look for in a container orchestrator, which products are good at which feature sets, and how you can apply this methodology in your research of other container orchestrators.
This document summarizes an OpenStack Foundation event in Vietnam in August 2019. It introduces two OpenStack Foundation employees, Ildiko Vancsa and Kendall Nelson, who have both contributed to multiple OpenStack projects. It provides an overview of the OpenStack Foundation, including that it has 105,000 members from 187 countries. It also summarizes several OpenStack projects, such as OpenStack, Airship, StarlingX, Zuul, and KataContainers. It emphasizes that community is what gives Open Source its power and discusses ways the OpenStack Foundation builds community, such as through Outreachy, diversity programs, and the OpenStack Upstream Institute.
“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
プレゼンテーションスライド @ Serverless Meetup Tokyo #14
Presentation Slides for Breakout session at Serverless Meetup Tokyo #14
https://serverless.connpass.com/event/143446/
Cloud Native Computing: What does it mean, and is your app Cloud Native?Michael O'Sullivan
There is a growing choice of Cloud Platforms available today - these provide services and tooling for developers to deploy applications to the Cloud. The Cloud has brought considerations such as elastic scalability and distributed computing to the forefront of modern application architectures. Over time, a new type of application has now emerged, known as the Cloud Native Application. Such an application is said to be purpose-built for deployment on the Cloud. This has even led to a new paradigm known as Cloud Native Computing. In practice though, it is easy to be confused or unclear as to what Cloud Native means. How does a Cloud Native approach change the way in which developers code applications? How does this influence the architecture of an application? Does it force you to use a certain set of technologies such as Containers? Or, does it mean that an application that simply runs and scales on a distributed Cloud Platform is somehow considered to be running natively on the Cloud? Cloud Native Computing impacts on the answers to each of these questions, and applications running on the Cloud may not be considered Cloud Native at all.
In this talk, the meaning of Cloud Native will be explored and clarified. With practical examples where appropriate, the concepts behind a Cloud Native Application will be demonstrated. These examples will not only touch on the common terms and phrases around Cloud Native Computing such as DevOps, Microservices, The 12-Factor App methodology, but also on the technologies that have driven the creation this new paradigm, such as Cloud Foundry, Docker, and Kubernetes. How these technologies are used to deploy and scale Cloud Native Applications on "Platform as a Service" (PaaS) Cloud Platforms will also be presented.
At the conclusion, what is considered a Cloud Native Application and why should be clear - the attributes and typical architecture of such an application, as well as how technologies and PaaS services can be used to drive these applications on the cloud.
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.
プレゼンテーションスライド @ DevLOVE X 2019
Presentation Slides for Breakout session at DevLOVE X 2019
https://devlove.wixsite.com/devlovex
The document discusses migrating to cloud native solutions. It defines cloud native as an approach that exploits the advantages of cloud computing using containers, microservices, and other modern technologies. This allows applications to be scalable, resilient, and manageable. The document outlines the benefits of cloud native and provides a "trail map" to transitioning applications. It also discusses common challenges like technical debt and failing to meet CI/CD expectations, and provides recommendations to address them such as automating processes and simplifying architectures.
Managing Multi-hypervisor OpenStack Cloud with Single Virtual NetworkPLUMgrid
1. The document discusses managing a multi-hypervisor OpenStack cloud with a single virtual network using PLUMgrid's SDN solution.
2. PLUMgrid ONS allows connectivity between KVM and ESXi workloads across a single tenant using OpenStack Heat templates and Neutron APIs.
3. The solution provides micro-segmentation, security policies out of the box, and automation to create and replicate resources, while optimizing existing hypervisor investments in a multi-hypervisor OpenStack environment.
Reactive Fault Tolerant Programming with Hystrix and RxJavaMatt Stine
This document discusses reactive fault tolerant programming using Hystrix and RxJava. It begins with an overview of microservices architecture and how latency can occur between services. It then introduces futures and CompletableFutures as ways to allow asynchronous and parallel processing. RxJava is presented as a reactive programming library that can be used to compose asynchronous and event-based programs. Hystrix is discussed as a library for implementing the circuit breaker pattern to handle failures gracefully in distributed systems. The document provides examples of using RxJava and Hystrix to build fault tolerant reactive microservices.
This presentation covers both the Cloud Foundry Elastic Runtime (known by many as just "Cloud Foundry") as well as the Operations Manager (known by many as BOSH). For each, the main components are covered with interactions between them.
Pivotal Power Lunch - Why Cloud Native?Sufyaan Kazi
The document discusses why cloud native applications are important. It notes that trends like low-cost computing, mobile devices, and ubiquitous sensors enable companies to build software that can reshape industries. It provides examples of how companies in industries like automotive, finance, and entertainment are building cloud native software to compete on business models, products, and customer experience. The document also discusses characteristics of cloud native applications like using microservices architectures and principles like the Twelve Factor App methodology. It emphasizes that cloud native approaches allow companies to develop and release software faster and more reliably at scale.
Pivotal microservices spring_pcf_skillsmatter.pptxSufyaan Kazi
This document summarizes a presentation on microservices and how to implement them using Spring Cloud and Netflix OSS. It defines microservices as loosely coupled services with bounded contexts. It discusses challenges of microservices like configuration management, service discovery, routing, and fault tolerance. It presents Spring Cloud and Netflix OSS as tools that can help implement microservices and address these challenges. These include services for configuration, service registration and discovery, circuit breakers, and dashboards. It argues that a platform like Cloud Foundry and Spring Cloud services can help develop and operate microservices at scale.
The document discusses pushing Docker images and applications to Pivotal Cloud Foundry (PCF). It provides steps to push a simple Docker image, the Spring Music application directly from Git, and the Spring Music application packaged as a Docker container. It then explains how Docker applications are supported on PCF using Diego and are treated similarly to applications from buildpacks, with the same CLI commands working. Finally, it provides a link to a YouTube video for more information on PCF.
Continuous Delivery of the Cloud Foundry Platform (as a service!)VMware Tanzu
SpringOne Platform 2016
Speaker: Tushar Dadlani; CloudOps Engineer, Pivotal.
Everyone has the question of how to continuously deliver; we have an answer that extends past the application to the platform itself.
Deploying and updating Pivotal Cloud Foundry to your infrastructure can be a complicated process if performed manually. Automation and predictability are two important criteria for any mature operations organization. This talk focuses on lessons learned while building our continuous integration pipeline for deploying Pivotal Cloud Foundry to production. It will demonstrate how the commitment of the team towards operating Pivotal Cloud Foundry in a mature way matters more than the specific tools we used. The talk will cover a year’s journey of refining the process for updating a Pivotal Cloud Foundry deployment. I will present a case study of how different manual processes and automated processes converged into what we have today.
The talk will focus on the different approaches we tried and elaborate on the details of the approach that has worked for us. The audience will leave with actionable takeaways in their pursuit of a continuously delivered platform.
Modernisation of Legacy PHP Applications to Symfony2 - Symfony Live Berlin 2012Fabrice Bernhard
PHP and its community has evolved really fast in the last few years to allow for professional architectures and solutions. However, there are thousands of existing PHP applications which have not evolved in the meantime and are now crippled and unmaintainable because of that. These applications represent a real threat to the competitiveness of the business that relies on them.
The best approach in terms of business to solve this problem is progressive rewrite. Symfony2 and its modular architecture make it possible. This talk will cover the main technical difficulties of the progressive approach when rewriting legacy PHP applications using Symfony2
Pivotal Cloud Foundry 101 given at Manchester Geek night
Original Content: https://www.youtube.com/watch?v=dHSbR9cm-_0&feature=youtu.be
This document discusses Spring Boot and Spring Cloud. It provides an overview of how Pivotal enables digital transformation through agile development practices and cloud native platforms. It describes capabilities of Spring Boot like quick project generation and auto configuration. It also discusses how Spring Cloud provides services for microservices like configuration, service registration and discovery, and fault tolerance with circuit breakers. The document includes code samples and demos the creation of a simple Spring Boot application and adding Spring MVC functionality with annotations. It promotes attending hands-on labs to learn how to use Spring Boot and Spring Cloud.
How to Architect and Develop Cloud Native ApplicationsSufyaan Kazi
This document summarizes a presentation on architecting and developing cloud native applications. It discusses design patterns for cloud native applications, including microservices and twelve-factor app principles. The presentation covers topics like testing, code style, architecture, and deploying applications on Pivotal Cloud Foundry. Demo code is shown for developing a microservices application with Spring Boot and deploying it locally and on PCF.
The document summarizes Cloud Foundry roadmap highlights for 2016, including upcoming features like the use of Ceph storage and a rearchitected elastic runtime. It also outlines the Cloud Foundry Summit event in September 2016 with over 100 sessions and 63 foundation members. The document details plans to simplify BOSH deployment manifests and allow service brokers to provision on-demand BOSH services.
Delivering a production Cloud Foundry Environment with Bosh | anyninesanynines GmbH
anynines CEO Julian Fischer leads through how to build a failure proof Cloud Foundry environment using infrastructure availability zones with Bosh including a SPOF-free Cloud Foundry runtime and on-demand provisioning data services.
Devoxx 2016: A Developer's Guide to OCI and runCPhil Estes
A talk given at Devoxx 2016 in Antwerp, Belgium on November 7th, 2016. This talk covers the OCI (Open Container Initiative), status of the runtime and image specifications, and tools like runC and ocitools, as well as components like "riddler" and "netns" for using the OCI components as an application developer.
The document describes the four levels of high availability (HA) in Cloud Foundry:
1) Elastic Runtime distributes application instances across availability zones and replaces failed instances.
2) Application health is monitored and actual and desired states are compared to ensure instances are running.
3) BOSH monitors processes and virtual machines for health and alerts responders if issues arise. Failed VMs are recovered.
4) Infrastructure as a service provides the underlying infrastructure that supports the other HA levels.
This video is part of our talk about BOSH held by the CEO of anynines - Julian Fischer (Twitter: @fischerjulian) - at the SUSECON 2016 in Washington, D.C..
Consuming web services asynchronously with Futures and Rx Observables (svcc, ...Chris Richardson
A modular, polyglot architecture has many advantages but it also adds complexity since each incoming request typically fans out to multiple distributed services. For example, in an online store application the information on a product details page - description, price, recommendations, etc - comes from numerous services. To minimize response time and improve scalability, these services must be invoked concurrently. However, traditional concurrency mechanisms are low-level, painful to use and error-prone. In this talk you will learn about some powerful yet easy to use abstractions for consuming web services asynchronously. We will compare the various implementations of futures that are available in Java, Scala and JavaScript. You will learn how to use reactive observables, which are asynchronous data streams, to access web services from both Java and JavaScript. We will describe how these mechanisms let you write asynchronous code in a very straightforward, declarative fashion.
Karun Chennuri presented on chaos engineering. Chaos engineering experiments with failures in a production system to build resilience. It involves injecting failures like killing virtual machines, blocking traffic, or adding latency to test a system's response. The presentation demonstrated chaos attacks on infrastructure by killing VMs and blocking SSH traffic, and on applications by killing services and blocking MySQL. Chaos engineering helps ensure systems can withstand failures through a practice of failing fast and learning from failures.
Startupfest 2012 - Coefficients of frictionStartupfest
It must have been amazing to live when the steam engine was invented. For millennia, human enterprise has tried to do one thing: overcome the friction of the physical world. From the first wheel and the earliest lever, to the structure of representative government and the design of broadcast TV, we’ve been fighting friction since we crawled out of the primordial ooze. That steam engine promised spare muscle, a beast of burden than never complained. Machinery would set us free. As it turned out, we were wrong. The answer wasn’t a better way to overcome friction—it was a move to the near-frictionless world of electrons. Today, every edifice we’ve erected to fight friction is crumbling in the face of a frictionless future. Join Alistair Croll for a wild romp through the economics of abundance, augmented humanity, home manufacturing, firing before aiming, coal supplies, education, and more, and see why there is simply no better time in human history to be a disruptor.
Industrial Agility: Come Rispondere alla Quarta Rivoluzione IndustrialePaolo Sammicheli
Intervento al Meetup Agile Venezia sulla metodologie Scrum nel contesto dell'Industria Tradizionale e la Quarta Rivoluzione Industriale. Casi reali: Wikispeed, Saab Gripen. Video: https://www.youtube.com/watch?v=3Sf-g6j6mzA
Jconf Colombia Nowadays Architecture Trends, from Monolith to Microservices a...Alberto Salazar
This document discusses architecture trends from monoliths to microservices and serverless architectures. It begins with an overview of monoliths and their limitations as applications grow large. It then discusses how to transition from a monolith to microservices by splitting the frontend and backend, establishing interfaces, and moving functionality to independent services. It also covers challenges like distributed communication overhead and logging. Finally, it discusses serverless architectures and how business logic can be implemented as ephemeral functions to avoid server management overhead.
Jbcnconf Nowadays Architecture Trends, from Monolith to Microservices and Ser...Alberto Salazar
In this session, attendees will learn about a real-world evolution to a Distributed Architecture without being involved of a complete Microservices Madness; we will be covering tips and tricks of an experience of a evolution of a huge EAR Core Banking Application and how we evolve to a modern distributed Architecture until the evolution of use 3rd party services and Serverless; tips, tricks, pros, cons and the reasons for being involved on move forward and present sample code as FaaS and explain the pitfalls of Serverless and the security concerns on this evolution. We will be using snippets code based on JAVA, JWT, JWS, Auth0, Spring Boot and Webflux on Oracle Cloud and Spring Cloud Functions on Amazon Lambdas.
This document announces a London meetup event about cloud computing. The evening will include beer, lightning talks on various cloud topics, and an "unpanel" discussion. Five speakers are scheduled to give lightning talks on estimating cloud costs for websites like Pinterest, big data analysis, EU cloud strategy risks and benefits, "cloud psychopathy", and cloud being traded as a commodity. There is also hoped to be a talk on cloud contract negotiations.
This document announces a London meetup event about cloud computing. The evening will include beer, lightning talks on various cloud topics, and an "unpanel" discussion. Potential speakers are listed and their planned talk topics include estimating the cloud hosting costs for companies like Pinterest and TripAdvisor, analyzing big data, risks and benefits of the EU cloud strategy, and whether cloud is already a commodity. There is also hoped to be a talk on negotiating cloud contracts.
This document summarizes a presentation about hacking mainframe systems. The presentation discusses how mainframes are still critical systems but are often assumed to be inherently secure. However, hackers have developed tools to scan for and attack mainframes connected to the internet or enterprise networks. The presentation provides examples of how hackers can use tools like Nmap, TN3270 emulation, and CICSpwn to profile mainframe systems, enumerate users and transactions, and potentially gain remote command line access. It recommends organizations go beyond just compliance and implement additional security measures like logging, monitoring, vulnerability scanning and penetration testing to optimize mainframe security.
Chaos Engineering – why we should all practice breaking things on purpose by ...Alex Cachia
What can we learn from fire fighters to make the systems we come to depend upon become more robust and resilient? In this talk, I will introduce what Chaos Engineering is and why it is important and share some real case studies of how people like Netflix and Amazon are applying these techniques to create more resilient systems for the benefit of their customers.
Teaching Elephants to Dance (Federal Audience): A Developer's Journey to Digi...Burr Sutter
We can be brilliant developers, but we won’t succeed—and won’t lead our organizations to succeed—without a new perspective (if you will) and new assumptions about the components of the “technology ecosystem” that are fundamentally critical to our success. This includes the operators, QA team, DBAs, security folks, and even the pure business contingent—in most cases, each of these individuals and groups plays a critical role in the success of what we create and give birth to as developers. What we do in isolation might be genius, but if we insulate ourselves—especially with arrogance—from these colleagues, neither our code nor our organizations will realize their full potential, and most will fail. The bottom line is that our old ways are no longer viable, and as the elite within our industry, we will be the leaders and heroes who discard old assumptions and adopt a new perspective in this exciting journey to digital transformation—where the impossible can become reality.
ES~Conference Mexico Nowadays Architecture Trends, from Monolith to Microserv...Alberto Salazar
In this session, attendees will learn about a real-world evolution to a Distributed Architecture without being involved of a complete Microservices Madness; we will be covering tips and tricks of an experience of a evolution of a huge EAR Core Banking Application and how we evolve to a modern distributed Architecture until the evolution of use 3rd party services and Serverless; tips, tricks, pros, cons and the reasons for being involved on move forward and present sample code as FaaS and explain the pitfalls of Serverless and the security concerns on this evolution. We will be using snippets code based on JAVA, Jakarta EE, JWT, JWS, Auth0, JBOSS EAP, Spring Boot, Reactor, Webflux, AWS, Lambdas, AWS Api Gateway and Spring Cloud Functions.
The Microservices Manifesto: How to Get More Out of the Development LifecycleDevOps.com
Microservices have been growing in popularity over the last few years, but questions still abound: What are they? Why would my organization need them? How can they help my business?
This webinar offers an opinionated but dogma-free approach to bringing microservices into your organization -- regardless of language or technology stack -- to help you get products delivered faster, more securely, and with fewer errors.
Attendees will hear how AppDynamics has helped both Fortune 50-500 companies in the U.S. and organizations around the world:
Leverage microservices to optimize the software development lifecycle
Avoid common pitfalls and problems with implementation
Drive internal adoption of microservices best practices to drive efficiency
Chaos Engineering - The Art of Breaking Things in ProductionKeet Sugathadasa
This is an introduction to Chaos Engineering - the Art of Breaking things in Production. This is conducted by two Site Reliability Engineers which explains the concepts, history, principles along with a demonstration of Chaos Engineering
The technical talk is given in this video: https://youtu.be/GMwtQYFlojU
Cloud Expo Silicon Valley 2013 | Why Lease When You Can Buy Your CloudMark Hinkle
Perhaps one of the perplexing things about cloud computing is the choice around renting time in someone else’s cloud (Amazon, Google, Rackspace or a myriad of others) or building your own. It’s not unlike the age-old car buyer’s dilemma, take the lower payments and lower total miles lease or buy the car and drive it for the long haul. Cloud computing users are often faced with the same conundrum. This presentation will focus on how to buy and build a cloud that can be fulfill the needs of most users including strategies for making use of the open source private cloud or managing workloads in both the private and public cloud using open source software.
The document discusses building applications in modern cloud environments. It outlines four main approaches: buying commercial off-the-shelf software, building with traditional architectures/methods, modernizing existing applications to be "cloud ready", and building cloud native/microservice applications. It then discusses the benefits of containers over virtual machines for building distributed applications at scale in the cloud. Finally, it presents Mantl as an open source platform that provides all the components needed for a microservices architecture on top of infrastructure-as-a-service.
This presentation frames a Microservices Lifecycle Demo given by Jay Thorne at CA World 2016. The presentation discusses Fred Brook's concepts of essential and accidental complexity and how they fit with microservice architecture.
Production Performance Testing in the CloudTechWell
Testing in production for online applications has evolved into a critical component of successful performance testing strategies. Dan Bartow explains the fundamentals of cloud computing, its application to full-scale performance validation, and the practices and techniques needed to design and execute a successful testing-in-production strategy. Drawing on his experiences, Dan describes the methodology he has used for testing numerous online applications in a production environment with minimal disruption. He explains how to create a performance testing strategy to give your team critical data about how your online application performs and scales. Learn how to create a robust lab-to-production ecosystem that delivers the answers about what will happen when peak traffic hits your site. Take back practical approaches to mitigate the three most common problems—security, test data, and potential live customer impact—that arise when embarking on testing in production.
All software architectures have to deal with stress. Its simply the way the world works! Stressors come from multiple directions, including changes in the marketplace, business models, and customer demand, as well as infrastructure failures, improper or unexpected inputs, and bugs. As software architects, one of our jobs is to create solutions that meet both business and quality requirements while appropriately handling stress. We typically approach stressors by trying to create solutions that are robust. Robust systems can continue functioning properly in the presence of internal and external challenges, but they also have one or more breaking points. When we pass a robust system's known threshold for a particular type of stress, it will fail. When a system encounters an unknown unknown challenge, it will usually not be robust! Recent years have seen new approaches, including resilient, antifragile, and evolutionary architectures. All of these approaches emphasize the notion of adapting to changing conditions in order to not only survive stress but sometimes to benefit from it. In this presentation, we'll examine the theory and practice behind these architectural approaches.
This document provides an overview of a workshop on cloud native architecture patterns. The workshop will cover cloud native architecture fundamentals, patterns, and "architecture katas" exercises. Key topics that will be discussed include architecting for DevOps, continuous delivery, and exploiting the capabilities of cloud infrastructure. The goal is to understand how architectural decisions can enhance or detract from the ability to practice DevOps and continuous delivery on cloud platforms.
The document discusses microservices and continuous delivery. It begins by defining microservices and distinguishing them from monolithic applications and traditional SOA. It then discusses how microservices enable continuous delivery by decoupling capabilities and change cycles. This allows individual teams to own the full lifecycle of the capabilities they build and operate. The document also addresses some challenges of microservices such as service registration and discovery, load balancing, and fault tolerance which can be helped by platforms like Spring Cloud and Netflix OSS. It emphasizes that microservices require operationalization and significant DevOps skills.
Cloud Foundry Diego: Modular and Extensible Substructure for MicroservicesMatt Stine
The Diego project was originally conceived as a rewrite of the Droplet Execution Agent (DEA) component of the Cloud Foundry elastic runtime, the component responsible for scheduling, starting, stopping, and scaling applications in Linux containers. Since Diego’s inception, this development effort has been guided by core principles such as simplicity, loose coupling, high cohesion, separation of concerns, and seeking the right abstractions.
These guiding principles have resulted in an extremely modular platform that provides a welcome home for your microservices. Microservices are loosely coupled, independently deployable applications whose individual scopes are guided by the concept of bounded contexts. Martin Fowler has described well the operational maturity required to employ microservices architectures, memorably stating “you must be this tall to ride the microservices ride,” with the capability to do rapid deployment and basic monitoring. Diego’s opinionated automation and health checking provide a great platform for operating microservices. At the same time, this platform has clean abstractions that support useful extension points.
In this presentation we'll explore the Diego architecture, highlight Diego’s role as the new core of the Cloud Foundry elastic runtime, and illustrated how Diego is being used as a component in other platforms such as Lattice and Spring XD. We'll also look at how Diego's abstractions provided an easy road to adding alternative backends for other platforms like core Windows/.NET support to Cloud Foundry. Finally, we'll discover how Diego's abstractions are providing the Spring Cloud project with a clear road to providing tighter integration between the Netflix OSS stack of services and Cloud Foundry, with a goal of enabling support for polyglot cloud-native application architectures.
Building Distributed Systems with Netflix OSS and Spring CloudMatt Stine
As presented at: http://www.meetup.com/Pivotal-Open-Source-Hub/events/219264521/
With the advent of microservice and cloud-native application architectures, building distributed systems is becoming increasingly common for the enterprise Java developer. Fortunately many of the innovators in the space, including Twitter, LinkedIn, and Netflix, have embraced the JVM as they’ve built increasingly complex systems, with Netflix open-sourcing much of its toolkit for constructing these systems at NetflixOSS.
Spring Cloud provides tools for developers to quickly build some of the common patterns in distributed systems. Many of these patterns are provided via wrapping the battle-tested components found at NetflixOSS.
A Recovering Java Developer Learns to GoMatt Stine
As presented at OSCON 2014.
The Go programming language has emerged as a favorite tool of DevOps and cloud practitioners alike. In many ways, Go is more famous for what it doesn’t include than what it does, and co-author Rob Pike has said that Go represents a “less is more” approach to language design.
The Cloud Foundry engineering teams have steadily increased their use of Go for building components, starting with the Router, and progressing through Loggregator, the CLI, and more recently the Health Manager. As a “recovering-Java-developer-turned-DevOps-junkie” focused on helping our customers and community succeed with Cloud Foundry, it became very clear to me that I needed to add Go to my knowledge portfolio.
This talk will introduce Go and its distinctives to Java developers looking to add Go to their toolkits. We’ll cover Go vs. Java in terms of:
* type systems
* modularity
* programming idioms
* object-oriented constructs
* concurrency
This document discusses using Tracer Bullet Development (TBD) and OSGi to develop software in an agile manner. TBD involves proposing system objects, interfaces, connecting interfaces, adding functions, and refining iteratively. A case study is presented of a speaker rental reservation system developed using TBD and OSGi. The system objects are defined along with interfaces for business services, data access, outbound messaging and inbound messaging. Functions are then added by coding implementations available on GitHub. The system is well-positioned for future refinement using TBD principles.
Cloud Foundry and Microservices: A Mutualistic Symbiotic RelationshipMatt Stine
As delivered to the Cloud Foundry Summit 2014 in San Francisco, CA:
With businesses built around software now disrupting multiple industries that appeared to have stable leaders, the need has emerged for enterprises to create "software factories" built around the following principles:
* Streaming customer feedback directly into rapid, iterative cycles of application development
* Horizontally scaling applications to meet user demand
* Compatibility with an enormous diversity of clients, with mobility (smartphones, tablets, etc.) taking the lead
* Continuous delivery of value, shrinking the cycle time from concept to cash
Infrastructure has taken the lead in adapting to meet these needs with the move to the cloud, and Platform as a Service (PaaS) has raised the level of abstraction to a focus on an ecosystem of applications and services. However, most applications are still developed as if we're living in the previous generation of both business and infrastructure: the monolithic application. Microservices - small, loosely coupled applications that follow the Unix philosophy of "doing one thing well" - represent the application development side of enabling rapid, iterative development, horizontal scale, polyglot clients, and continuous delivery. They also enable us to scale application development and eliminate long term commitments to a single technology stack.
While microservices are simple, they are certainly not easy. It's recently been said that "microservices are not a free lunch". Interestingly enough, if you look at the concerns expressed here about microservices, you'll find that they are exactly the challenges that a PaaS is intended to address. So while microservices do not necessarily imply cloud (and vice versa), there is in fact a symbiotic relationship between the two, with each approach somehow compensating for the limitations of the other, much like the practices of eXtreme Programming.
Vert.x is an asynchronous event-driven framework that addresses some of the shortcomings of Node.js. It uses a polyglot approach that allows programming in multiple languages instead of just JavaScript. It leverages the multi-threaded JVM to allow both vertical and horizontal scaling. An event bus provides a distributed communication system across processes and into the browser. Worker verticles allow blocking operations to run off the main event loop threads. Shared immutable data structures enable safe sharing of state across instances.
This document provides biographical information about the speaker Matt Stine and outlines the topics he will cover in his presentation. Stine will discuss how software designs tend to degrade over time due to various factors, and how following the SOLID principles of object-oriented design can help address this problem and make designs more functional in nature. He will also cover trends in how software systems evolve, different programming paradigms, and the ongoing quest for software design "best practices."
The Seven Wastes of Software DevelopmentMatt Stine
This document summarizes Matt Stine's presentation on the seven wastes of software development based on lean manufacturing principles. The seven wastes are: partially done work, extra processes, extra features, handoffs, delays, task switching, and defects. Stine provides examples of each waste and solutions to eliminate them, such as limiting work in progress, continuous integration, avoiding handoffs, minimizing task switching, and early defect detection. The goal is to reduce non-value adding activities and continuously improve productivity and quality.
Information Sciences Solutions to Core Facility Problems at St. Jude Children...Matt Stine
This document discusses solutions to core facility problems at St. Jude Children's Research Hospital. It describes a case study on using the Shared Resource Management (SRM) system to help with day-to-day operations and the Cancer Center Support Grant (CCSG) competitive renewal process. The document also outlines future challenges around managing large sequencing data and plans to expand SRM and develop a next generation version.
The document discusses the Getting Things Done (GTD) productivity system. It outlines the key components of the system including developing a trusted system for capturing tasks, maintaining a workflow for processing tasks, and conducting regular weekly reviews to evaluate and clean up projects and commitments. The goal of GTD is to help people gain stress-free productivity.
Feelin' Groovy: An Afternoon of Reflexive MetaprogrammingMatt Stine
The document summarizes a presentation about reflexive metaprogramming using the Groovy programming language. It discusses how Groovy supports reflexive metaprogramming through its Meta Object Protocol (MOP) and metaclasses, allowing methods to be dynamically added, removed, or replaced on classes at runtime. It also presents examples of method interception, injection, and synthesis in Groovy and how internal domain-specific languages can be implemented.
Java(tm) Technology On Google App EngineMatt Stine
Google App Engine allows Java applications to run on Google's infrastructure. It provides a Java virtual machine environment with certain security restrictions, as well as services like datastore, memcache, and mail. Developers can use the Eclipse plugin, Ant tasks, or the SDK to build and test applications locally before deploying them to Google's servers in under a minute. A variety of JVM languages beyond Java can also run on App Engine.
Grails is a web development framework for Java that is inspired by Ruby on Rails. It uses conventions and principles like DRY (Don't Repeat Yourself) to simplify web development. Morph AppSpace is a Platform as a Service that fully manages web application hosting for Grails, Rails, Java, and PHP applications. It provides load balancing, application servers, databases, backups, and monitoring on Amazon EC2 and S3. To deploy a Grails application to Morph AppSpace, you create an account, install the Morph plugin, modify configuration files, build a WAR file, and use the Grails deploy command.
Matt Stine founded the Memphis/Mid-South Java User Group (JUG) in 2007 and has since led it. The group now averages 30 attendees per monthly meeting and has gained sponsorship support. Key lessons learned include establishing an early web presence; cultivating sponsors for food, venues, and speakers; networking with other JUGs; using grassroots marketing; encouraging member participation; covering a wide range of technical and soft skills topics; accepting any volunteer speaker; and maintaining consistency. Resources for starting a new JUG are available online.
Introduction to JMS and Message-Driven POJOsMatt Stine
This document provides an overview of JMS and message-driven POJOs. It discusses JMS message types, the JMS API, configuration, sending and receiving messages, request/reply messaging, using Spring's JMS support, and implementing message-driven POJOs with Spring. Code examples are provided to demonstrate sending and receiving messages, request/reply messaging, and implementing message-driven POJOs that receive messages. The presentation includes an agenda, introductions to messaging concepts and models, descriptions of each message type, and discussions of Spring's JMS support and the three options for implementing message-driven POJOs with Spring.
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
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Microsoft AI Nonprofit Use Cases and Live Demo_2025.04.30.pdfTechSoup
In this webinar we will dive into the essentials of generative AI, address key AI concerns, and demonstrate how nonprofits can benefit from using Microsoft’s AI assistant, Copilot, to achieve their goals.
This event series to help nonprofits obtain Copilot skills is made possible by generous support from Microsoft.
What You’ll Learn in Part 2:
Explore real-world nonprofit use cases and success stories.
Participate in live demonstrations and a hands-on activity to see how you can use Microsoft 365 Copilot in your own work!
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Adobe Lightroom Classic is a desktop-based software application for editing and managing digital photos. It focuses on providing users with a powerful and comprehensive set of tools for organizing, editing, and processing their images on their computer. Unlike the newer Lightroom, which is cloud-based, Lightroom Classic stores photos locally on your computer and offers a more traditional workflow for professional photographers.
Here's a more detailed breakdown:
Key Features and Functions:
Organization:
Lightroom Classic provides robust tools for organizing your photos, including creating collections, using keywords, flags, and color labels.
Editing:
It offers a wide range of editing tools for making adjustments to color, tone, and more.
Processing:
Lightroom Classic can process RAW files, allowing for significant adjustments and fine-tuning of images.
Desktop-Focused:
The application is designed to be used on a computer, with the original photos stored locally on the hard drive.
Non-Destructive Editing:
Edits are applied to the original photos in a non-destructive way, meaning the original files remain untouched.
Key Differences from Lightroom (Cloud-Based):
Storage Location:
Lightroom Classic stores photos locally on your computer, while Lightroom stores them in the cloud.
Workflow:
Lightroom Classic is designed for a desktop workflow, while Lightroom is designed for a cloud-based workflow.
Connectivity:
Lightroom Classic can be used offline, while Lightroom requires an internet connection to sync and access photos.
Organization:
Lightroom Classic offers more advanced organization features like Collections and Keywords.
Who is it for?
Professional Photographers:
PCMag notes that Lightroom Classic is a popular choice among professional photographers who need the flexibility and control of a desktop-based application.
Users with Large Collections:
Those with extensive photo collections may prefer Lightroom Classic's local storage and robust organization features.
Users who prefer a traditional workflow:
Users who prefer a more traditional desktop workflow, with their original photos stored on their computer, will find Lightroom Classic a good fit.
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
Landscape of Requirements Engineering for/by AI through Literature ReviewHironori Washizaki
Hironori Washizaki, "Landscape of Requirements Engineering for/by AI through Literature Review," RAISE 2025: Workshop on Requirements engineering for AI-powered SoftwarE, 2025.
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.
GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.
Proactive Vulnerability Detection in Source Code Using Graph Neural Networks:...Ranjan Baisak
As software complexity grows, traditional static analysis tools struggle to detect vulnerabilities with both precision and context—often triggering high false positive rates and developer fatigue. This article explores how Graph Neural Networks (GNNs), when applied to source code representations like Abstract Syntax Trees (ASTs), Control Flow Graphs (CFGs), and Data Flow Graphs (DFGs), can revolutionize vulnerability detection. We break down how GNNs model code semantics more effectively than flat token sequences, and how techniques like attention mechanisms, hybrid graph construction, and feedback loops significantly reduce false positives. With insights from real-world datasets and recent research, this guide shows how to build more reliable, proactive, and interpretable vulnerability detection systems using GNNs.
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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?
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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
Preprint: https://arxiv.org/abs/2501.10037
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MATT STINESenior Product Manager - Pivotal Software, Inc.
@mstine
[email protected]
http://mattstine.com
MICROSERVICES
CLOUD FOUNDRY: THE BEST PLACE TO RUN