The document provides an overview of Spring Cloud, including:
- Spring Cloud aims to provide tools for building distributed systems using familiar Spring tools. It wraps other implementation stacks to be consumed via Spring.
- Core components include service discovery with Eureka, client-side load balancing with Ribbon, and circuit breaking with Hystrix.
- Additional tools include the Feign REST client, API gateway capabilities, and integration with Spring Boot.
- Examples demonstrate basic configurations for service registration, load balancing between instances, and using circuit breakers and fallback methods.
Microservices with Java, Spring Boot and Spring CloudEberhard Wolff
Spring Boot makes creating small Java application easy - and also facilitates operations and deployment. But for Microservices need more: Because Microservices are a distributed systems issues like Service Discovery or Load Balancing must be solved. Spring Cloud adds those capabilities to Spring Boot using e.g. the Netflix stack. This talks covers Spring Boot and Spring Cloud and shows how these technologies can be used to create a complete Microservices environment.
Kevin Huang: AWS San Francisco Startup Day, 9/7/17
Architecture: When, how, and if to adopt microservices - Microservices are not for everyone! If you're a small shop, a monolith provides a great amount of value and reduces the complexities involved. However as your company grows, this monolith becomes more difficult to maintain. We’ll look at how microservices allow you to easily deploy and debug atomic pieces of infrastructure which allows for increased velocity in reliable, tested, and consistent deploys. We’ll look into key metrics you can use to identify the right time to begin the transition from monolith to microservices.
A proper Microservice is designed for fast failure.
Like other architectural style, microservices bring costs and benefits. Some development teams have found microservices architectural style to be a superior approach to a monolithic architecture. Other teams have found them to be a productivity-sapping burden.
This material start with the basic what and why microservice, follow with the Felix example and the the successful strategies to develop microservice application.
Microservices with Java, Spring Boot and Spring CloudEberhard Wolff
Spring Boot makes creating small Java application easy - and also facilitates operations and deployment. But for Microservices need more: Because Microservices are a distributed systems issues like Service Discovery or Load Balancing must be solved. Spring Cloud adds those capabilities to Spring Boot using e.g. the Netflix stack. This talks covers Spring Boot and Spring Cloud and shows how these technologies can be used to create a complete Microservices environment.
Kevin Huang: AWS San Francisco Startup Day, 9/7/17
Architecture: When, how, and if to adopt microservices - Microservices are not for everyone! If you're a small shop, a monolith provides a great amount of value and reduces the complexities involved. However as your company grows, this monolith becomes more difficult to maintain. We’ll look at how microservices allow you to easily deploy and debug atomic pieces of infrastructure which allows for increased velocity in reliable, tested, and consistent deploys. We’ll look into key metrics you can use to identify the right time to begin the transition from monolith to microservices.
A proper Microservice is designed for fast failure.
Like other architectural style, microservices bring costs and benefits. Some development teams have found microservices architectural style to be a superior approach to a monolithic architecture. Other teams have found them to be a productivity-sapping burden.
This material start with the basic what and why microservice, follow with the Felix example and the the successful strategies to develop microservice application.
Understanding MicroSERVICE Architecture with Java & Spring BootKashif Ali Siddiqui
This is a deep journey into the realm of "microservice architecture", and in that I will try to cover each inch of it, but with a fixed tech stack of Java with Spring Cloud. Hence in the end, you will be get know each and every aspect of this distributed design, and will develop an understanding of each and every concern regarding distributed system construct.
A introduction to Microservices Architecture: definition, characterstics, framworks, success stories. It contains a demo about implementation of microservices with Spring Boot, Spring cloud an Eureka.
Building Event Driven (Micro)services with Apache KafkaGuido Schmutz
What is a Microservices architecture and how does it differ from a Service-Oriented Architecture? Should you use traditional REST APIs to bind services together? Or is it better to use a richer, more loosely-coupled protocol? This talk will start with quick recap of how we created systems over the past 20 years and how different architectures evolved from it. The talk will show how we piece services together in event driven systems, how we use a distributed log (event hub) to create a central, persistent history of events and what benefits we achieve from doing so.
Apache Kafka is a perfect match for building such an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a more traditional as well as in a stream processing fashion. The talk will show the difference between a request-driven and event-driven communication and show when to use which. It highlights how the modern stream processing systems can be used to hold state both internally as well as in a database and how this state can be used to further increase independence of other services, the primary goal of a Microservices architecture.
Secret Management with Hashicorp’s VaultAWS Germany
When running a Kubernetes Cluster in AWS there are secrets like AWS and Kubernetes credentials, access information for databases or integration with the company LDAP that need to be stored and managed.
HashiCorp’s Vault secures, stores, and controls access to tokens, passwords, certificates, API keys, and other secrets . It handles leasing, key revocation, key rolling, and auditing.
This talk will give an overview of secret management in general and Vault’s concepts. The talk will explain how to make use of Vault’s extensive feature set and show patterns that implement integration between Kubernetes applications and Vault.
In this slide deck, I first describe what resilience is, what it is about, why it is important and how it is different from traditional stability approaches.
After that introductory part the main part is a "small" pattern language which is organized around isolation, the typical starting point of resilient software design. I used quotation marks for "small" as even this subset of a complete resilience pattern language still consists of around 20 patterns.
All the patterns are briefly described and for some of the patterns I added a bit of detail, but as this is a slide deck, the voice track - as usual - is missing. Also this pattern language is still sort of work in progress, i.e., it has not yet settled and some details are still missing. Yet I think (or at least hope), that the slides might contain a few useful insights for you.
Microservices architecture is a method of developing software applications as a suite of independently deployable, small, modular services. Learn how to leverage the security and automation of the Amazon Web Services platform, to build, maintain and operate a microservices environment.
Speaker: Adam Lynch, Sr. Technical Account Manager, Amazon Web Services
Apache Kafka is the de facto standard for data streaming to process data in motion. With its significant adoption growth across all industries, I get a very valid question every week: When NOT to use Apache Kafka? What limitations does the event streaming platform have? When does Kafka simply not provide the needed capabilities? How to qualify Kafka out as it is not the right tool for the job?
This session explores the DOs and DONTs. Separate sections explain when to use Kafka, when NOT to use Kafka, and when to MAYBE use Kafka.
No matter if you think about open source Apache Kafka, a cloud service like Confluent Cloud, or another technology using the Kafka protocol like Redpanda or Pulsar, check out this slide deck.
A detailed article about this topic:
https://www.kai-waehner.de/blog/2022/01/04/when-not-to-use-apache-kafka/
An edge gateway is an essential piece of infrastructure for large scale cloud based services. This presentation details the purpose, benefits and use cases for an edge gateway to provide security, traffic management and cloud cross region resiliency. How a gateway can be used to enhance continuous deployment, and help testing of new service versions and get service insights and more are discussed. Philosophical and architectural approaches to what belongs in a gateway vs what should be in services will be discussed. Real examples of how gateway services, built on top of Netflix's Open source project, Zuul, are used in front of nearly all of Netflix's consumer facing traffic will show how gateway infrastructure is used in real highly available, massive scale services.
The introduction covers the following
1. What are Microservices and why should be use this paradigm?
2. 12 factor apps and how Microservices make it easier to create them
3. Characteristics of Microservices
Note: Please download the slides to view animations.
OpenAPI 3.0, And What It Means for the Future of SwaggerSmartBear
OpenAPI 3.0, which is based on the original Swagger 2.0 specification, is meant to provide a standard format to unify how an industry defines and describes RESTful APIs.
The release of OAS 3.0 marks a significant milestone in the growth of the API economy — bringing together collaborators from across industries, to evolve the specification to meet the needs of API developers and consumers across the world in an open and transparent manner.
We hosted a free Swagger training: OpenAPI 3.0, And What it Means for the Future of Swagger. More than 2,000 people signed up to learn more about the new specification, and to find out about what’s coming next for Swagger and SwaggerHub!
You can watch the full recording of the presentation here: https://swaggerhub.com/blog/api-resources/openapi-3-0-video-tutorial/
Microservice Architecture | Microservices Tutorial for Beginners | Microservi...Edureka!
( Microservices Architecture Training: https://www.edureka.co/microservices-... )
This Edureka's Microservices tutorial gives you detail of Microservices Architecture and how it is different from Monolithic Architecture. You will understand the concepts using a UBER case study. In this video, you will learn the following:
1. Monolithic Architecture
2. Challenges Of Monolithic Architecture
3. Microservice Architecture
4. Microservice Features
5. Compare architectures using UBER case-study
This presentation is conducted on 14th Sept in Limerick DotNet User Group.
(https://www.meetup.com/preview/Limerick-DotNet/events/xskpdnywmbsb)
SlideShare Url: https://www.slideshare.net/lalitkale/introduction-to-microservices-80583928
In this presentation, new architectural style - Microservices and it's emergence is discussed. We will also briefly touch base on what are not microservices, Conway's law and organization design, Principles of microservices and service discovery mechanism and why it is necessary for microservices implementation.
About Speaker:
Lalit is a senior developer, software architect and consultant with more than 12 yrsof .NET experience. He loves to work with C# .NET and Azure platform services like App Services, Virtual Machines, Cortana, and Container Services. He is also the author of 'Building Microservices with .NET Core' (https://www.packtpub.com/web-development/building-microservices-net-core) book.
To know more and connect with Lalit, you can visit his LinkedIn profile below. https://www.linkedin.com/in/lalitkale/
This presentation will be useful for software architects/Managers, senior developers.
Do share your feedback in comments.
Debugging Microservices - key challenges and techniques - Microservices Odesa...Lohika_Odessa_TechTalks
Microservice architecture is widespread our days. It comes with a lot of benefits and challenges to solve. Main goal of this talk is to go through troubleshooting and debugging in the distributed micro-service world. Topic would cover:
main aspects of the logging,
monitoring,
distributed tracing,
debugging services on the cluster.
About speaker:
Andrеy Kolodnitskiy is Staff engineer in the Lohika and his primary focus is around distributed systems, microservices and JVM based languages.
Majority of time engineers spend debugging and fixing the issues. This talk will be dedicated to best practicies and tools Andrеys team uses on its project which do help to find issues more efficiently.
Understanding MicroSERVICE Architecture with Java & Spring BootKashif Ali Siddiqui
This is a deep journey into the realm of "microservice architecture", and in that I will try to cover each inch of it, but with a fixed tech stack of Java with Spring Cloud. Hence in the end, you will be get know each and every aspect of this distributed design, and will develop an understanding of each and every concern regarding distributed system construct.
A introduction to Microservices Architecture: definition, characterstics, framworks, success stories. It contains a demo about implementation of microservices with Spring Boot, Spring cloud an Eureka.
Building Event Driven (Micro)services with Apache KafkaGuido Schmutz
What is a Microservices architecture and how does it differ from a Service-Oriented Architecture? Should you use traditional REST APIs to bind services together? Or is it better to use a richer, more loosely-coupled protocol? This talk will start with quick recap of how we created systems over the past 20 years and how different architectures evolved from it. The talk will show how we piece services together in event driven systems, how we use a distributed log (event hub) to create a central, persistent history of events and what benefits we achieve from doing so.
Apache Kafka is a perfect match for building such an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a more traditional as well as in a stream processing fashion. The talk will show the difference between a request-driven and event-driven communication and show when to use which. It highlights how the modern stream processing systems can be used to hold state both internally as well as in a database and how this state can be used to further increase independence of other services, the primary goal of a Microservices architecture.
Secret Management with Hashicorp’s VaultAWS Germany
When running a Kubernetes Cluster in AWS there are secrets like AWS and Kubernetes credentials, access information for databases or integration with the company LDAP that need to be stored and managed.
HashiCorp’s Vault secures, stores, and controls access to tokens, passwords, certificates, API keys, and other secrets . It handles leasing, key revocation, key rolling, and auditing.
This talk will give an overview of secret management in general and Vault’s concepts. The talk will explain how to make use of Vault’s extensive feature set and show patterns that implement integration between Kubernetes applications and Vault.
In this slide deck, I first describe what resilience is, what it is about, why it is important and how it is different from traditional stability approaches.
After that introductory part the main part is a "small" pattern language which is organized around isolation, the typical starting point of resilient software design. I used quotation marks for "small" as even this subset of a complete resilience pattern language still consists of around 20 patterns.
All the patterns are briefly described and for some of the patterns I added a bit of detail, but as this is a slide deck, the voice track - as usual - is missing. Also this pattern language is still sort of work in progress, i.e., it has not yet settled and some details are still missing. Yet I think (or at least hope), that the slides might contain a few useful insights for you.
Microservices architecture is a method of developing software applications as a suite of independently deployable, small, modular services. Learn how to leverage the security and automation of the Amazon Web Services platform, to build, maintain and operate a microservices environment.
Speaker: Adam Lynch, Sr. Technical Account Manager, Amazon Web Services
Apache Kafka is the de facto standard for data streaming to process data in motion. With its significant adoption growth across all industries, I get a very valid question every week: When NOT to use Apache Kafka? What limitations does the event streaming platform have? When does Kafka simply not provide the needed capabilities? How to qualify Kafka out as it is not the right tool for the job?
This session explores the DOs and DONTs. Separate sections explain when to use Kafka, when NOT to use Kafka, and when to MAYBE use Kafka.
No matter if you think about open source Apache Kafka, a cloud service like Confluent Cloud, or another technology using the Kafka protocol like Redpanda or Pulsar, check out this slide deck.
A detailed article about this topic:
https://www.kai-waehner.de/blog/2022/01/04/when-not-to-use-apache-kafka/
An edge gateway is an essential piece of infrastructure for large scale cloud based services. This presentation details the purpose, benefits and use cases for an edge gateway to provide security, traffic management and cloud cross region resiliency. How a gateway can be used to enhance continuous deployment, and help testing of new service versions and get service insights and more are discussed. Philosophical and architectural approaches to what belongs in a gateway vs what should be in services will be discussed. Real examples of how gateway services, built on top of Netflix's Open source project, Zuul, are used in front of nearly all of Netflix's consumer facing traffic will show how gateway infrastructure is used in real highly available, massive scale services.
The introduction covers the following
1. What are Microservices and why should be use this paradigm?
2. 12 factor apps and how Microservices make it easier to create them
3. Characteristics of Microservices
Note: Please download the slides to view animations.
OpenAPI 3.0, And What It Means for the Future of SwaggerSmartBear
OpenAPI 3.0, which is based on the original Swagger 2.0 specification, is meant to provide a standard format to unify how an industry defines and describes RESTful APIs.
The release of OAS 3.0 marks a significant milestone in the growth of the API economy — bringing together collaborators from across industries, to evolve the specification to meet the needs of API developers and consumers across the world in an open and transparent manner.
We hosted a free Swagger training: OpenAPI 3.0, And What it Means for the Future of Swagger. More than 2,000 people signed up to learn more about the new specification, and to find out about what’s coming next for Swagger and SwaggerHub!
You can watch the full recording of the presentation here: https://swaggerhub.com/blog/api-resources/openapi-3-0-video-tutorial/
Microservice Architecture | Microservices Tutorial for Beginners | Microservi...Edureka!
( Microservices Architecture Training: https://www.edureka.co/microservices-... )
This Edureka's Microservices tutorial gives you detail of Microservices Architecture and how it is different from Monolithic Architecture. You will understand the concepts using a UBER case study. In this video, you will learn the following:
1. Monolithic Architecture
2. Challenges Of Monolithic Architecture
3. Microservice Architecture
4. Microservice Features
5. Compare architectures using UBER case-study
This presentation is conducted on 14th Sept in Limerick DotNet User Group.
(https://www.meetup.com/preview/Limerick-DotNet/events/xskpdnywmbsb)
SlideShare Url: https://www.slideshare.net/lalitkale/introduction-to-microservices-80583928
In this presentation, new architectural style - Microservices and it's emergence is discussed. We will also briefly touch base on what are not microservices, Conway's law and organization design, Principles of microservices and service discovery mechanism and why it is necessary for microservices implementation.
About Speaker:
Lalit is a senior developer, software architect and consultant with more than 12 yrsof .NET experience. He loves to work with C# .NET and Azure platform services like App Services, Virtual Machines, Cortana, and Container Services. He is also the author of 'Building Microservices with .NET Core' (https://www.packtpub.com/web-development/building-microservices-net-core) book.
To know more and connect with Lalit, you can visit his LinkedIn profile below. https://www.linkedin.com/in/lalitkale/
This presentation will be useful for software architects/Managers, senior developers.
Do share your feedback in comments.
Debugging Microservices - key challenges and techniques - Microservices Odesa...Lohika_Odessa_TechTalks
Microservice architecture is widespread our days. It comes with a lot of benefits and challenges to solve. Main goal of this talk is to go through troubleshooting and debugging in the distributed micro-service world. Topic would cover:
main aspects of the logging,
monitoring,
distributed tracing,
debugging services on the cluster.
About speaker:
Andrеy Kolodnitskiy is Staff engineer in the Lohika and his primary focus is around distributed systems, microservices and JVM based languages.
Majority of time engineers spend debugging and fixing the issues. This talk will be dedicated to best practicies and tools Andrеys team uses on its project which do help to find issues more efficiently.
“Microservices” have become a trendy development strategy. Hosting and running such services used to be pretty painful... but here comes Service Fabric! Let’s take a closer look at this platform, its different development models and all the features it offers, and not only for microservices!
CON 2107- Think Async: Embrace and Get Addicted to the Asynchronicity of EEMasoud Kalali
This presentation covers the whole spectrum of Asynchronous processing present in Java EE through introducing a use case. The coverage starts with introducing the usecase and showing how a mix of JMS, MDB and Async Servlet can address the requirement of the use case. The session will also cover asynchronicity in JAX-RS as well as covering NIO in Servlet 3.1
Микросервисы со Spring Boot & Spring CloudVitebsk DSC
Spring Framework - один из наиболее часто используемых фреймворков для разработки корпоративных приложений. Множество высокопроизводительных решений уже построено на его основе. Если вы начинаете новый проект на Java, то, вероятнее всего, он также будет использовать Spring Framework.Использование микросервисного подхода позволяет реагировать на изменения требований быстрее за счет упрощения отдельных компонентов и возможности их параллельной разработки. Однако, использование этого подхода также сопряжено и с дополнительными проблемами - развертывание и отладка существенно усложнились, а для совместной работы сервисов необходимы дополнительные инфраструктурные компоненты, такие как, централизованная конфигурации, возможность повторной отправки сообщений или балансировка нагрузки между несколькими запущенными инстансами.Spring Boot изменил подход к разработке приложений, основанных на Spring Framework. Автоконфигурации, предоставляемые стартерами, позволяют сразу приступить к реализации основной функциональности и не тратить время на настройку инфраструктурных компонентов. Spring Cloud развил эту идею и предоставляет готовые стартеры для реализации микросервисных паттернов.
Презентация подготовлена по материалам выступления Александра Бармина на витебской конференции “Developer's Software Conference” (30.11.2019).
The DevOps model is rapidly transforming IT operations and development practices. But what are the precursors necessary to implement DevOps? To achieve an agile, virtualized, and highly automated IT environment, what technological requirements need to be in place? OpenStack has the potential to facilitate DevOps implementation and practices at several different layers in the data center. In this session we'll quickly discuss what DevOps is, then discuss many components that are logically required to move towards DevOps in your environment. Finally we'll explore in depth several ways OpenStack can provide these baseline components.
Watch the DevNet 1104 replay from the Cisco Live On-Demand Library at: https://www.ciscolive.com/online/connect/sessionDetail.ww?SESSION_ID=92695&backBtn=true
Check out more and register for Cisco DevNet: http://ow.ly/jCNV3030OfS
I'm talking about how Ansible helps Backbase establish testing pipeline to ensure the quality of Customer Experience Platform - the leading horizontal portal software. This is done by utilizing the concept of immutable infrastructure to provision on-demand infrastructure use it and the dispose.
Imagine, you want to build a hybrid mobile app with microservices at backend. It is pretty simple to design a back-end API, a demo UI for the API or wrap an existing web app into a mobile app. However, building a complex consumer solution requires much more. This talk walks through the steps of design of such complex solution based on real-life examples from personal experience. This is a no-code session, focused on the work of an architect in the life-cycle of the product, spanning to various areas that should be covered in order to gain success.
Cloud Native Spring - The role of Spring Cloud after Kubernetes became a main...Orkhan Gasimov
Presentation of my talk about Spring Cloud features that can integrate with AWS, GCP and Azure turning Spring Cloud into a distributed platform that is capable to work with different environments like Kubernetes, Cloud or Local with adoption of Spring abstractions.
Digital Transformation - another buzzword around the globe, is it? Well, it is a trend of course, but, all of trends has some reason behind them. So, what Digital Transformation stands for? What is transformed? How the transformation is done? Why do we need to transform something? This presentation focuses on answering these questions and understanding what stands behind the trend called Digital Transformation from user experience point of view.
Service Mesh. What does it mean? We have already learned Microservices and can develop complex distributed applications. Is Service Mesh something we need or is another fancy buzzword?
This presentation walks through the evolution of application architecture from Monolith to Service Mesh to give an idea of what a Service Mesh is, how it is applied to existing architectures and is focused help you to understand if you really need it.
During past years, the requirements for modern applications have increased from gigabytes of data to terabytes, from thousands of requests per second to millions, from seconds of response time to milliseconds, and this list can be continued. Until now, most of these problems have been solved using the Microservices architecture, but what's next? What next approach should we apply where Microservices fail? In this presentation, we will overview modern approaches to application development with Reactive and Distributed architecture and see how Vert.x help to implement such solutions.
During past years, the requirements for modern applications have increased from gigabytes of data to terabytes, from thousands of requests per second to millions, from seconds of response time to milliseconds, and this list can be continued. Until now, most of these problems have been solved using the microservices architecture, but what's next? What next approach should we apply where microservices fail? In this talk, we will overview modern approaches to application development with reactive and distributed architecture and see how Vert.x help to implement such solutions.
Spring Cloud: API gateway upgrade & configuration in the cloudOrkhan Gasimov
In this presentation we walk through features of Spring Cloud Gateway and Spring Cloud Config projects, overview new features provided by Spring Cloud Gateway including advanced routing options for API services supporting parallel APIs in several versions, discuss code examples and configuration options. Once API gateway is deployed, we don’t want to redeploy it on configuration changes as well as redeploy other services upon configuration updates. And this is where Spring Cloud Config enters the game. It allows us to keep configurations in the cloud, for example in a Git repository, and once paired with tools necessary, enables almost zero-down-time configuration updates, audit of changes and parallel configurations for different environments.
While developing distributed apps, most teams are focused in delivery of business value. Sometimes, after production deployment, a few moments later, we realize that exceptions arise, time-outs blow. The system need more fault tolerance. Presentations overviews a few patterns and principles of fault and latency tolerance for such systems.
Distributed design is the way to go for most of the modern applications. However, when you have a startup with 1-2 back-end developers in a team, it’s much easier to start with a monolithic app and refactor it when necessary. Presentation covers a few patterns, anti-patterns and real-life examples from personal experience.
Cyaniclab : Software Development Agency Portfolio.pdfCyanic lab
CyanicLab, an offshore custom software development company based in Sweden,India, Finland, is your go-to partner for startup development and innovative web design solutions. Our expert team specializes in crafting cutting-edge software tailored to meet the unique needs of startups and established enterprises alike. From conceptualization to execution, we offer comprehensive services including web and mobile app development, UI/UX design, and ongoing software maintenance. Ready to elevate your business? Contact CyanicLab today and let us propel your vision to success with our top-notch IT solutions.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
TROUBLESHOOTING 9 TYPES OF OUTOFMEMORYERRORTier1 app
Even though at surface level ‘java.lang.OutOfMemoryError’ appears as one single error; underlyingly there are 9 types of OutOfMemoryError. Each type of OutOfMemoryError has different causes, diagnosis approaches and solutions. This session equips you with the knowledge, tools, and techniques needed to troubleshoot and conquer OutOfMemoryError in all its forms, ensuring smoother, more efficient Java applications.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Enhancing Project Management Efficiency_ Leveraging AI Tools like ChatGPT.pdfJay Das
With the advent of artificial intelligence or AI tools, project management processes are undergoing a transformative shift. By using tools like ChatGPT, and Bard organizations can empower their leaders and managers to plan, execute, and monitor projects more effectively.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
2. Speaker
• Orkhan Gasimov, Software Engineer
– 14 years of software engineering;
– variety of technologies (languages & frameworks);
– solution design and implementation;
• Teaching training courses.
– Architecture.
– Java.
– JavaScript / TypeScript.
• Author of training courses.
– Spring Cloud.
– Akka for Java.
3. Spring Cloud
• Why?
– Provide the Spring developer with an
easily consumable set of tools to build
distributed systems.
Motivation
4. Spring Cloud
• Why?
– Provide the Spring developer with an
easily consumable set of tools to build
distributed systems.
• How?
– Wrapping other implementation stacks,
that are then consumed via the familiar
tools.
Motivation
Process
5. Spring Cloud
• Why?
– Provide the Spring developer with an
easily consumable set of tools to build
distributed systems.
• How?
– Wrapping other implementation stacks,
that are then consumed via the familiar
tools.
• What?
– Set of tools for developers to quickly
build some of the common patterns in
distributed systems.
Process
Motivation
Product
7. Spring Cloud
• Spring Cloud Netflix
• Spring Cloud Sleuth
• Spring Cloud Security
• Spring Cloud Streams
• Spring Cloud Bus
• Spring Cloud Config
8. Examples
• A few notes about code examples:
– We will see
• Spring Cloud project names.
• Simplified Java code examples.
• Basic configuration options.
– We omit
• Dependencies – easy to find at official website.
• Extensive configuration options – available in official documentation.
10. Microservices
• Approach or Architecture?
– Approach
• Introduces general guidelines on ways of performing
the work.
– Architecture
• Defines the structured solution that meets all of the
technical and operational requirements.
11. Microservices
• Approach from organizational point of view.
– Which tools are going to be used?
– What technology stacks are available?
– How processes are going to be organized?
– Which protocols will be used?
– How the deployment will be organized?
12. Microservices
• Architecture from development point of view.
– Which elements will be used to build the software?
– How relations between elements will be organized?
– How elements will be structured?
– How elements, relations and structure are configured?
21. Core Components
• Spring Cloud
– built on top of Spring Boot.
– ready for microservice development.
• Multiple implementations of common patterns.
– E.g. support for Eureka, ZooKeeper and Consul.
22. Core Components
• Spring Cloud Netflix.
– Discovery server and client.
– Latency and fault tolerance library.
– Client-side load balancing over RestTemplate.
– Declarative REST client.
– Edge proxy for API gateway implementations.
23. Core Components – Service Discovery
• A simple discovery server implementation using Spring Cloud looks like:
– By default Eureka will be available at http://localhost:8761/eureka
– Custom settings should be configured in bootstrap.yml (or .properties)
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.eureka.server.EnableEurekaServer;
@SpringBootApplication
@EnableEurekaServer
public class DiscoveryServer {
public static void main(String[] args) {
SpringApplication.run(DiscoveryServer.class, args);
}
}
24. Core Components – Service Discovery
• A simple discovery server configuration looks like:
spring:
application:
name: DiscoveryServer
server:
port: 8761
eureka:
server:
enable-self-preservation: false
25. Core Components – Service Discovery
• Eureka
– Self-Preservation
– Peer Awareness
– Availability Zones
– Regions
27. Core Components – Service Discovery
• A simple service with discovery client looks like:
@SpringBootApplication
@EnableEurekaClient //@EnableDiscoveryClient
@RestController
public class HelloService {
@RequestMapping("/hello")
public String sayHello(@RequestParam String name) {
return "Hello " + name;
}
public static void main(String[] args) {
SpringApplication.run(HelloService.class, args);
}
}
28. Core Components – Service Discovery
• A simple service configuration looks like:
spring:
application:
name: HelloService
eureka:
client:
fetchRegistry: true
registerWithEureka: true
serviceUrl:
defaultZone: http://localhost:8761/eureka
29. Core Components – Load Balancing
• How do we load balance between instances of HelloService?
30. Core Components – Load Balancing
• Ribbon – the client-side load
balancer.
• Ribbon supports auto-retry, time-out
and other useful configurable
features.
31. Core Components – Load Balancing
• Spring Cloud implements Ribbon as a wrapper over RestTemplate.
• Default load balancing logic is round-robin.
32. Core Components – Load Balancing
@Bean
@LoadBalanced
public RestTemplate restTmpl() {
return new RestTemplate();
}
@RestController
public class HelloWorldRest {
@Autowired
private RestTemplate restTmpl;
@RequestMapping("/hello-world")
public String sayHello() {
String url = "http://HelloService/hello?name=World";
return restTmpl.getForObject(url, String.class);
}
}
33. Core Components – Circuit Breaker
• Remote service fails or is not available:
34. Core Components – Circuit Breaker
• Remote service fails or is not available:
– Long-running requests that result in failure.
35. Core Components – Circuit Breaker
• Remote service fails or is not available:
– Long-running requests that result in failure.
– Users wait to get the failure response.
36. Core Components – Circuit Breaker
• Remote service fails or is not available:
– Long-running requests that result in failure.
– Users wait to get the failure response.
• Failure continues for some unpredictable time:
37. Core Components – Circuit Breaker
• Remote service fails or is not available:
– Long-running requests that result in failure.
– Users wait to get the failure response.
• Failure continues for some unpredictable time:
– More dependent services can be blocked.
38. Core Components – Circuit Breaker
• Remote service fails or is not available:
– Long-running requests that result in failure.
– Users wait to get the failure response.
• Failure continues for some unpredictable time:
– More dependent services can be blocked.
– Longer response times, more users have to wait…
39. Core Components – Circuit Breaker
• Some of service dependencies will inevitably fail.
40. Core Components – Circuit Breaker
• Some of service dependencies will inevitably fail.
– Cascading failures turn into a chain reaction.
41. Core Components – Circuit Breaker
• Some of service dependencies will inevitably fail.
– Cascading failures turn into a chain reaction.
• Hystrix helps to control the interactions between distributed services by
adding latency tolerance and fault tolerance logic.
42. Core Components – Circuit Breaker
• Hystrix – the circuit breaker.
– Isolates points of access between services.
– Stops cascading failures.
– Provides fallback options.
43. Core Components – Circuit Breaker
@SpringBootApplication
@EnableHystrix //@EnableCircuitBreaker
@RestController
//other annotations – Eureka, etc.
public class HelloWorldService {
//beans, autowires, main method...
@HystrixCommand(fallbackMethod = "helloFallback")
@RequestMapping("/hello-world")
public String sayHello() {
String url = "http://HelloService/hello?name=World";
return restTmpl.getForObject(url, String.class);
}
private String helloFallback() {
return "Sorry World, try again later please.";
}
}
45. Core Components – REST Client
• Feign – declarative REST client.
– Integrated support for Eureka, Ribbon and Hystrix.
46. Core Components – REST Client
• Feign – declarative REST client.
– Integrated support for Eureka, Ribbon and Hystrix.
– Enabled by adding @EnableFeignClients to your configuration class.
47. Core Components – REST Client
• Feign – declarative REST client.
– Integrated support for Eureka, Ribbon and Hystrix.
– Enabled by adding @EnableFeignClients to your configuration class.
@FeignClient(name = "HelloService")
public interface HelloClient {
@RequestMapping("/hello")
String sayHello(@RequestParam String name);
}
48. Core Components – REST Client
• Feign client with Hystrix fallbacks:
@FeignClient(name = "HelloService", fallback = HelloFallback.class)
public interface HelloClient {
@RequestMapping("/hello")
String sayHello(@RequestParam String name);
}
@Component
public class HelloFallback implements HelloClient {
@Override
public String sayHello(String name) {
return "Sorry " + name + ", try again later please";
}
}
49. Core Components
• Let’s imagine we are building an
application with microservices
architecture.
• Services depend on other services.
50. Core Components
• Let’s imagine we are building an
application with microservices
architecture.
• Services depend on other services.
• Services find each other through
service discovery.
51. Core Components
• Let’s imagine we are building an
application with microservices
architecture.
• Services depend on other services.
• Services find each other through
service discovery.
• How do clients integrate with our
microservices?
52. Core Components – API Gateway
• API gateway is the single entry
point for clients.
53. Core Components – API Gateway
• API gateway is the single entry
point for clients.
• The API gateway handles requests
in one of two ways:
54. Core Components – API Gateway
• API gateway is the single entry
point for clients.
• The API gateway handles requests
in one of two ways:
– Simply proxy/route requests to the
appropriate service.
55. Core Components – API Gateway
• API gateway is the single entry
point for clients.
• The API gateway handles requests
in one of two ways:
– Simply proxy/route requests to the
appropriate service.
– Expose a different API for each
client.
56. Core Components – API Gateway
• API gateway – the single entry point to your microservices
– eliminates the hassle of dealing with your internal infrastructure.
• Zuul – the edge proxy which is integrated with Eureka, Ribbon & Hystrix.
64. Instrumentation
• Turbine AMQP allows any application post metrics to the single stream.
– Turbine Server – aggregates all metrics sent to the stream.
66. Instrumentation
• Integrated tools for metrics and tracing
– Hystrix Stream and Hystrix Dashboard
• near real-time monitoring of circuit breakers at a single host.
– Turbine
• the Hystrix Stream aggregator that allows to monitor all nodes in cluster.
– Turbine AMQP
• the Hystrix Stream aggregator that allows to monitor all applications in network.
– Sleuth & Zipkin
• distributed tracing of cascading calls between microservices.
68. Security
• Implementations:
– API Gateway / Perimeter Security;
– Everybody Can Auth (with HTTP Basic);
– Basic + Central Auth DB;
– Sessions Everywhere;
– API Tokens;
– SAML;
– Etc.
69. Security
• Common concerns:
– Central user store bottleneck;
– Lack of single sign on;
– Statelessness;
– Exposure of user credentials;
– Lack of fine grained authorization;
– Interoperability with non browser clients;
84. Security – SSO with Zuul
• To enable SSO at Zuul:
@SpringBootApplication
@EnableZuulProxy
@EnableOAuth2Sso
public class ApiGateway {
//main method...
}
85. Security
• Spring Cloud Security
– OAuth2 for delegated authorization.
– JWT for self-contained tokens.
– OpenID Connect for delegated authentication.
– SSO with Zuul at API gateway.
99. Configuration Management
• Configuring applications separately is uncomfortable.
– Application are deployed to different hosts.
– Different environments (DEV, RC, PROD).
101. Configuration Management
• Spring Cloud Config – server and client support for external configuration.
• Features:
– HTTP-based API for external configuration.
102. Configuration Management
• Spring Cloud Config – server and client support for external configuration.
• Features:
– HTTP-based API for external configuration.
– Encrypt and decrypt property values.
103. Configuration Management
• Spring Cloud Config – server and client support for external configuration.
• Features:
– HTTP-based API for external configuration.
– Encrypt and decrypt property values.
– Git as default repository storage.
• File-based, SVN and other options are available.
104. Configuration Management
• Config Server is the central place to manage external properties for
applications across all environments.
105. Configuration Management
Config Server application:
Config Server configuration: Config Client configuration:
@SpringBootApplication
@EnableConfigServer
public class ConfigServer {
public static void main(String[] args) {
SpringApplication.run(ConfigServer.class, args);
}
}
spring.cloud.config.server.git:
uri: http://git.xyz/config-repo
username: user
password: passkey
spring:
application.name: AppName
cloud.config.uri: http://host:8182