Fundamental and Practice.
Explain about microservices characters and pattern. And also how to be good build microservices. And also additional the scale cube and CAP theory.
CSI – IT2020, IIT Mumbai, October 6th 2017
Computer Society of India, Mumbai Chapter
The presentation focuses on Microservices architecture and the comparison between MicroService with Standard Monolithic Apps and SOA based Apps. It also gives a quick outline of Domain Driven Design, Event Sourcing and CQRS, Functional Reactive Programming and comparison of SAGA pattern with 2 Phase Commit.
http://www.csimumbai.org/it2020-17/index.html
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.
CSI – IT2020, IIT Mumbai, October 6th 2017
Computer Society of India, Mumbai Chapter
The presentation focuses on Microservices architecture and the comparison between MicroService with Standard Monolithic Apps and SOA based Apps. It also gives a quick outline of Domain Driven Design, Event Sourcing and CQRS, Functional Reactive Programming and comparison of SAGA pattern with 2 Phase Commit.
http://www.csimumbai.org/it2020-17/index.html
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.
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.
SCS 4120 - Software Engineering IV
BACHELOR OF SCIENCE HONOURS IN COMPUTER SCIENCE
BACHELOR OF SCIENCE HONOURS IN SOFTWARE ENGINEERING
All in One Place Lecture Notes
Distribution Among Friends Only
All copyrights belong to their respective owners
Viraj Brian Wijesuriya
vbw@ucsc.cmb.ac.lk
The presentation from our online webinar "Design patterns for microservice architecture".
Full video from webinar available here: https://www.youtube.com/watch?v=826aAmG06KM
If you’re a CTO or a Lead Developer and you’re planning to design service-oriented architecture, it’s definitely a webinar tailored to your needs. Adrian Zmenda, our Lead Dev, will explain:
- when microservice architecture is a safe bet and what are some good alternatives
- what are the pros and cons of the most popular design patterns (API Gateway, Backend for Frontend and more)
- how to ensure that the communication between services is done right and what to do in case of connection issues
- why we’ve decided to use a monorepo (monolithic repository)
- what we’ve learned from using the remote procedure call framework gRPC
- how to monitor the efficiency of individual services and whole SOA-based systems.
Microservices, Kubernetes and Istio - A Great Fit!Animesh Singh
Microservices and containers are now influencing application design and deployment patterns. Sixty percent of all new applications will use cloud-enabled continuous delivery microservice architectures and containers. Service discovery, registration, and routing are fundamental tenets of microservices. Kubernetes provides a platform for running microservices. Kubernetes can be used to automate the deployment of Microservices and leverage features such as Kube-DNS, Config Maps, and Ingress service for managing those microservices. This configuration works fine for deployments up to a certain size. However, with complex deployments consisting of a large fleet of microservices, additional features are required to augment Kubernetes.
Principles of microservices XP Days UkraineSam Newman
There has been lots of buzz around Microservices over the last year, but there has often been a lack of clarity as to what Microservices are, or how to implement them well. I've been working to distill down the principles of Microservices to help ensure that we don't just end up repeating the mistakes we made during the last 20 years of service oriented architecture.
Building Cloud-Native App Series - Part 2 of 11
Microservices Architecture Series
Event Sourcing & CQRS,
Kafka, Rabbit MQ
Case Studies (E-Commerce App, Movie Streaming, Ticket Booking, Restaurant, Hospital Management)
source : http://www.opennaru.com/cloud/msa/
마이크로서비스는 애플리케이션 구축을 위한 아키텍처 기반의 접근 방식입니다. 마이크로서비스를 전통적인 모놀리식(monolithic) 접근 방식과 구별 짓는 기준은 애플리케이션을 핵심 기능으로 세분화하는 방식입니다. 각 기능을 서비스라고 부르며, 독립적으로 구축하고 배포할 수 있습니다. 이는 개별 서비스가 다른 서비스에 부정적 영향을 주지 않으면서 작동(또는 장애가 발생)할 수 있음을 의미합니다.
In this session, we’ll discuss the benefits of moving from monolithic to micro-services application architectures, and examine where micro-services can be used. We’ll share common transition strategies and relate them to the specifics of e-commerce and retail workloads, using customer examples. You’ll learn how to build micro-services using AWS services, and get a better understanding of the role of data storage, API endpoints and service discovery. Plus, you can learn from the real-life experience of Digital Goodie, an online retailing platform for connected commerce.
Developing with micro frontends offers enterprises many benefits over monolithic frontend development, but MFEs also present challenges.
Micro frontend platforms provide DevOps benefits for large organizations seeking to innovate quickly while managing increasing complexity.
Introduction to Microservices Patterns. In these slides we explore microservices vs monolith apis. We try to identify the challenges of moving to microservices ecosystem and try to analyze possible solutions for data consistency, inter-communication, event driven and distributed transactions.
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.
Distributed Transactions is a key concept for Micro Services based Apps and Saga Design Pattern helps out over here. However, developers struggle to shift their mindset from CRUD based design to Event Sourcing / CQRS concept. To solve this problem we are introducing the concept of Event Storming and Event Storming Process map.
Service Discovery and Registration in a Microservices ArchitecturePLUMgrid
Microservices, Service Discovery and Registration have been heading towards the peak of inflated expectations on the Gartner Hype cycle for over the last year or so, but there has often been a lack of clarity as to what these are, why are they needed or how to implement them well.
Service discovery and registration are key components of most distributed systems and service oriented architectures. In this session we will talk about what, why and how of service registration and discovery in distributed systems in general and OpenStack in particular.
We will talk about some of the technologies that address this challenge like Zookeeper, Etcd, Consul, Mesos-DNS, Minuteman, SkyDNS, SmartStack or Eureka. We will also address how these technologies as well as existing OpenStack projects can be used to solve this problem inside OpenStack environments.
SOA, service-oriented architectures, burst on the scene in the new millennium as the latest technology to support application growth. In concert with the Web, SOA ushered in new paradigms for structuring enterprise applications.
At the Forward Internet Group in London, we are implementing SOA in unusual ways. Rather than a few, businessrelated services being implemented per the original vision, we have developed systems made of myriads of very small, usually shortlived services.
In this workshop, we will start by exploring the evolution of SOA implementations by the speaker. In particular, lessons learned from each implementation will be discussed, and reapplication of these lessons on the next implementation. Challenges (and even failures) will be explicitly identified.
We will arrive at a model of the current systems: An environment of very small services that are loosely coupled into a complex system. We explore the demise of acceptance tests in this complex environment, and the clever replacement of business metrics in their stead.
Finally, we will conclude with the surprising programmer development process impacts of this architecture. Indeed, bedrock principles of Agile have been rendered unnecessary, something that equally surprised us. (Presented at Agile India 2013)
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.
SCS 4120 - Software Engineering IV
BACHELOR OF SCIENCE HONOURS IN COMPUTER SCIENCE
BACHELOR OF SCIENCE HONOURS IN SOFTWARE ENGINEERING
All in One Place Lecture Notes
Distribution Among Friends Only
All copyrights belong to their respective owners
Viraj Brian Wijesuriya
vbw@ucsc.cmb.ac.lk
The presentation from our online webinar "Design patterns for microservice architecture".
Full video from webinar available here: https://www.youtube.com/watch?v=826aAmG06KM
If you’re a CTO or a Lead Developer and you’re planning to design service-oriented architecture, it’s definitely a webinar tailored to your needs. Adrian Zmenda, our Lead Dev, will explain:
- when microservice architecture is a safe bet and what are some good alternatives
- what are the pros and cons of the most popular design patterns (API Gateway, Backend for Frontend and more)
- how to ensure that the communication between services is done right and what to do in case of connection issues
- why we’ve decided to use a monorepo (monolithic repository)
- what we’ve learned from using the remote procedure call framework gRPC
- how to monitor the efficiency of individual services and whole SOA-based systems.
Microservices, Kubernetes and Istio - A Great Fit!Animesh Singh
Microservices and containers are now influencing application design and deployment patterns. Sixty percent of all new applications will use cloud-enabled continuous delivery microservice architectures and containers. Service discovery, registration, and routing are fundamental tenets of microservices. Kubernetes provides a platform for running microservices. Kubernetes can be used to automate the deployment of Microservices and leverage features such as Kube-DNS, Config Maps, and Ingress service for managing those microservices. This configuration works fine for deployments up to a certain size. However, with complex deployments consisting of a large fleet of microservices, additional features are required to augment Kubernetes.
Principles of microservices XP Days UkraineSam Newman
There has been lots of buzz around Microservices over the last year, but there has often been a lack of clarity as to what Microservices are, or how to implement them well. I've been working to distill down the principles of Microservices to help ensure that we don't just end up repeating the mistakes we made during the last 20 years of service oriented architecture.
Building Cloud-Native App Series - Part 2 of 11
Microservices Architecture Series
Event Sourcing & CQRS,
Kafka, Rabbit MQ
Case Studies (E-Commerce App, Movie Streaming, Ticket Booking, Restaurant, Hospital Management)
source : http://www.opennaru.com/cloud/msa/
마이크로서비스는 애플리케이션 구축을 위한 아키텍처 기반의 접근 방식입니다. 마이크로서비스를 전통적인 모놀리식(monolithic) 접근 방식과 구별 짓는 기준은 애플리케이션을 핵심 기능으로 세분화하는 방식입니다. 각 기능을 서비스라고 부르며, 독립적으로 구축하고 배포할 수 있습니다. 이는 개별 서비스가 다른 서비스에 부정적 영향을 주지 않으면서 작동(또는 장애가 발생)할 수 있음을 의미합니다.
In this session, we’ll discuss the benefits of moving from monolithic to micro-services application architectures, and examine where micro-services can be used. We’ll share common transition strategies and relate them to the specifics of e-commerce and retail workloads, using customer examples. You’ll learn how to build micro-services using AWS services, and get a better understanding of the role of data storage, API endpoints and service discovery. Plus, you can learn from the real-life experience of Digital Goodie, an online retailing platform for connected commerce.
Developing with micro frontends offers enterprises many benefits over monolithic frontend development, but MFEs also present challenges.
Micro frontend platforms provide DevOps benefits for large organizations seeking to innovate quickly while managing increasing complexity.
Introduction to Microservices Patterns. In these slides we explore microservices vs monolith apis. We try to identify the challenges of moving to microservices ecosystem and try to analyze possible solutions for data consistency, inter-communication, event driven and distributed transactions.
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.
Distributed Transactions is a key concept for Micro Services based Apps and Saga Design Pattern helps out over here. However, developers struggle to shift their mindset from CRUD based design to Event Sourcing / CQRS concept. To solve this problem we are introducing the concept of Event Storming and Event Storming Process map.
Service Discovery and Registration in a Microservices ArchitecturePLUMgrid
Microservices, Service Discovery and Registration have been heading towards the peak of inflated expectations on the Gartner Hype cycle for over the last year or so, but there has often been a lack of clarity as to what these are, why are they needed or how to implement them well.
Service discovery and registration are key components of most distributed systems and service oriented architectures. In this session we will talk about what, why and how of service registration and discovery in distributed systems in general and OpenStack in particular.
We will talk about some of the technologies that address this challenge like Zookeeper, Etcd, Consul, Mesos-DNS, Minuteman, SkyDNS, SmartStack or Eureka. We will also address how these technologies as well as existing OpenStack projects can be used to solve this problem inside OpenStack environments.
SOA, service-oriented architectures, burst on the scene in the new millennium as the latest technology to support application growth. In concert with the Web, SOA ushered in new paradigms for structuring enterprise applications.
At the Forward Internet Group in London, we are implementing SOA in unusual ways. Rather than a few, businessrelated services being implemented per the original vision, we have developed systems made of myriads of very small, usually shortlived services.
In this workshop, we will start by exploring the evolution of SOA implementations by the speaker. In particular, lessons learned from each implementation will be discussed, and reapplication of these lessons on the next implementation. Challenges (and even failures) will be explicitly identified.
We will arrive at a model of the current systems: An environment of very small services that are loosely coupled into a complex system. We explore the demise of acceptance tests in this complex environment, and the clever replacement of business metrics in their stead.
Finally, we will conclude with the surprising programmer development process impacts of this architecture. Indeed, bedrock principles of Agile have been rendered unnecessary, something that equally surprised us. (Presented at Agile India 2013)
Microservices are small services with independent lifecycles that work together. There is an underlying tension in that definition – how independent can you be when you have to be part of a whole? I’ve spent much of the last couple of years trying to understand how to find the right balance, and in this talk/tutorial I’ll be presenting the core seven principles that I think represent what makes microservices tick.
After a brief introduction of what microservices are and why they are important, we’ll spend the bulk of the time looking at the principles themselves, wherever possible covering real-world examples and technology:
- Modelled around business domain – using techniques from domain-driven design to find service boundaries leads to better team alignment and more stable service boundaries, avoiding expensive cross-service changes.
- Culture of automation – all organisations that use microservices at scale have strong cultures of automation. We’ll look at some of their stories and think about which sort of automation is key.
- Hide implementation details – how do you hide the detail inside each service to avoid coupling, and ensure each service retains its autonomous nature?
- Decentralize all the things! – we have to push power down as far as we can, and this goes for both the system and organisational architecture. We’ll look at everything from autonomous self-contained teams and internal open source, to using choreographed systems to handle long-lived business transactions.
- Deploy independently – this is all about being able to deploy safely. So we’ll cover everything from deployment models to consumer-driven contracts and the importance of separating deployment from release.
- Isolate failure – just making a system distributed doesn’t make it more stable than a monolithic application. So what do you need to look for?
- Highly observable – we need to understand the health of a single service, but also the whole ecosystem. How?
In terms of learning outcomes, beginners will get a sense of what microservices are and what makes them different, whereas more experienced practitioners will get insight and practical advice into how to implement them.
In this presentation, we strip away the hype and speak frankly of the upsides and downsides of adopting a microservices architecture and why, with certain exceptions, the pros far outweigh the cons.
Microservices 101: opportunities, dilemmas and problemsŁukasz Sowa
Presentation from 4Developers 2015. Topics covered:
– What are microservices?
– Why they might be useful?
– What questions do they bring up?
– What's hard about them?
Exploring the drivers behind the Microservices hype, and defining the prerequisites in architecture and infrastructure needed before contemplating this path.
Presented at the first Sydney Microservices Meetup - Small Talk.
When you need to react quickly to competitive threats, but your existing architecture is anything but nimble, what do you do?
In this presentation, you will hear the story of how Walmart Canada revitalized its aging architecture with a microservices model built for speed and performance - that efficiently leveraged its JVM infrastructure - to achieve major e-commerce success in just 12 months:
Conversions up 20%
Mobile orders up 98%
No downtime during Black Friday or Boxing Day
This webinar is based off Kevin Webber’s highly successful Gartner session, Lessons Learned: Revitalizing Walmart's Aging Architecture For Web Scale, and will include added content.
Sildes of an internal talk given at Twitter similar to a previous webinar for Redhat with the same title.
Speeding up development is a key concern, cloud and technology improvements like Docker speed up key steps that make continuous delivery possible. Breaking up the work into many separate microservices and datastores with stable APIs allows teams to make progress independently so that the organization scales. Monolithic apps are preferred for small projects, built by small teams and when very low latency and high efficiency is the primary requirement. Monitoring microservices is currently a challenge with solutions starting to emerge.
Systems Monitoring with Prometheus (Devops Ireland April 2015)Brian Brazil
Monitoring means many things to many people. This talk looks at Systems Monitoring, that is how to keep an eye on a given system and use this as part of overall management of a system. This talk will cover Why one monitors, What to monitor, How to monitor, the general design of a monitoring system and how Prometheus is a good fit for this in terms of instrumentation, consoles, alerts, general system health and sanity.
Prometheus is a next-generation monitoring system publicly announced earlier this year, developed by companies including SoundCloud, locals Boxever and Docker. Since launch there has been wide-spread interest, and many community contributions.
For more information see http://prometheus.io or http://www.boxever.com/tag/monitoring
Modern HA applications in nowadays are developed with set of small focused and discrete microservices. It's a trending concept and opens/solves questions like maintenance, scaling, live-deployments, security, fault-tolerance etc.
Think BDD is just for web sites? Think again! In this talk, we rethink traditional software testing strategies in the context of micro-services and Behaviour-Driven Development. We will see how traditional testing approaches are both inadequate and poorly targeted for micro-services development. We will learn how to use BDD techniques to discover, describe and document micro-service requirements, and tools like Cucumber and Serenity to turn these requirements into automated acceptance tests and living documentation. We will see how Consumer-Driven Contract tools help ensure that micro-services play well together, and how you can implement the details with the help of unit-testing tools like Spock and REST-Assured.
Microservice Architecture on AWS using AWS Lambda and Docker ContainersDanilo Poccia
The use of microservices as an architectural pattern, decomposing an application into small, independent components, can improve development, deployment and security. We’ll build a real architecture using AWS Lambda to run event-based functions and Amazon EC2 Container Service and AWS Elastic Beanstalk to manage backend and frontend Docker containers. We’ll evolve from a web based interface to a mobile, cross platform architecture, using a least-privilege approach on security based on AWS Identity and Access Management roles.
CPU and RAM costs continue to plummet. Multi-core systems are ubiquitous. Writing code is easier than it has ever been. Why, then, is it still so darn hard to make a scalable system?
Speaker:
Owen Garrett
Sr. Director, Product Management
NGINX, Inc.
On-Deman Link: https://www.nginx.com/resources/webinars/need-service-mesh/
About the webinar:
Service mesh is one of the hottest emerging technologies. Even though it’s a nascent technology, many vendors have already released their implementation. But do you really need a service mesh?
Attend this webinar to learn about the levels of maturity on the journey to modernizing your apps using microservices, and the traffic management approaches best suited to each level. We’ll help you figure out if you really need a service mesh.
SELECTION MECHANISM OF MICRO-SERVICES ORCHESTRATION VS. CHOREOGRAPHYdannyijwest
Web services is a special case of a service-oriented architecture (SOA), which is, basically, a representation of web application‘s functionality. Web service is more of a generalized concept that implies whole functionality as a whole but Microservice handles only the single specific task. MSA is emerging as an excellent architecture style enabling the division of large and complex applications into micro-scale yet many services, each runs in its own process, has its own APIs, and communicates with one another using lightweight mechanisms such as HTTP. Microservices are built around business capabilities, loosely coupled and highly cohesive, horizontally scalable, independently deployable, technology-agnostic, etc. On the other side for the business dynamic requirement these microservices need to be composed for the realization of enterprise-scale, and business-critical applications. Service composition is combining various services together to provide the solution for the user dynamic queries. There are two methods for the microservice composition i.e. orchestration and choreography. In this paper,a health case study is performed for the selection mechanism of orchestration method and choreography method in various situation.
SELECTION MECHANISM OF MICRO-SERVICES ORCHESTRATION VS. CHOREOGRAPHY IJwest
ABSTRACT Web services is a special case of a service-oriented architecture (SOA), which is, basically, a representation of web application‘s functionality. Web service is more of a generalized concept that implies whole functionality as a whole but Microservice handles only the single specific task. MSA is emerging as an excellent architecture style enabling the division of large and complex applications into micro-scale yet many services, each runs in its own process, has its own APIs, and communicates with one another using lightweight mechanisms such as HTTP. Microservices are built around business capabilities, loosely coupled and highly cohesive, horizontally scalable, independently deployable, technology-agnostic, etc. On the other side for the business dynamic requirement these microservices need to be composed for the realization of enterprise-scale, and business-critical applications. Service composition is combining various services together to provide the solution for the user dynamic queries. There are two methods for the microservice composition i.e. orchestration and choreography. In this paper,a health case study is performed for the selection mechanism of orchestration method and choreography method in various situation.
A microservices architecture is a type of application architecture where the application is developed as a collection of services. It provides the framework to develop, deploy, and maintain microservices architecture diagrams and services independently.
Microservices are the blocks of your application and perform different services, while REST APIs work as the glue or the bridge that integrates these separate microservices. APIs can be made up, wholly or partially, out of microservices. Developers can use Microservices for a lot more, though
MuCon 2015 - Microservices in Integration ArchitectureKim Clark
Discusses the how microservices fit into the ever evolving integration architecture, looking at how these concepts are often seen very differently through the eyes of enterprises with different lanscapes.
This talk was done in Feb 2020. Sergey and I co-presented at CTO Forum on Microservices and Service Mesh (how they relate, requirements, goals, best practices and how DevOps and Agile has had convergence in the set of features for Service Mesh and gateways around observability, feature flags, etc.)
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.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
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.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
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
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.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Developing Distributed High-performance Computing Capabilities of an Open Sci...Globus
COVID-19 had an unprecedented impact on scientific collaboration. The pandemic and its broad response from the scientific community has forged new relationships among public health practitioners, mathematical modelers, and scientific computing specialists, while revealing critical gaps in exploiting advanced computing systems to support urgent decision making. Informed by our team’s work in applying high-performance computing in support of public health decision makers during the COVID-19 pandemic, we present how Globus technologies are enabling the development of an open science platform for robust epidemic analysis, with the goal of collaborative, secure, distributed, on-demand, and fast time-to-solution analyses to support public health.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
First Steps with Globus Compute Multi-User EndpointsGlobus
In this presentation we will share our experiences around getting started with the Globus Compute multi-user endpoint. Working with the Pharmacology group at the University of Auckland, we have previously written an application using Globus Compute that can offload computationally expensive steps in the researcher's workflows, which they wish to manage from their familiar Windows environments, onto the NeSI (New Zealand eScience Infrastructure) cluster. Some of the challenges we have encountered were that each researcher had to set up and manage their own single-user globus compute endpoint and that the workloads had varying resource requirements (CPUs, memory and wall time) between different runs. We hope that the multi-user endpoint will help to address these challenges and share an update on our progress here.
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3. What is Microservices?
An approach to developing a single application as a suite of small services, each
running of its own process and communication with lightweight mechanism, often
HTTP resource API. ~ Martin Fowler
4. Start from Monolithic
Monolithic is opposite of microservices. It is a common system that nowdays used.
It is application built as single unit.
Applications are often built in three main parts: client-side, database, server-side.
Server side handle HTTP request, execute domain logic, retrieve & update DB,
select the view or respond to client.
This server side application is a monolith.
5. The limit of monolithic
Monolithic applications can be successful, but increasingly people are feeling
frustrations with them, especially more applications are being deployed to the
cloud.
Change cycles are tied together
Over time it's often hard to keep a good modular structure
Scaling requires scaling of the entire application
7. Characteristic of Microservices Architecture
Componentization via services
Organized around Business Capabilities
Products not Projects
Smart endpoints and dumb pipes
Decentralized Governance
Decentralized Data Management
Infrastructure Automation
Design for failure
8. Componentization via services
a component is a unit of software that is independently replaceable and
upgradeable.
One main reason for using services as components (rather than libraries) is that
services are independently deployable.
9. Organized around Business Capabilities
Any organization that designs a system (defined
broadly) will produce a design whose structure is a
copy of the organization's communication structure.
-- Melvyn Conway, 1967
The microservice approach to
division is different, splitting up into
services organized around business
capability.
10. Products not Projects
Microservice proponents tend to avoid this model, preferring instead the notion that
a team should own a product over its full lifetime.
The product mentality, ties in with the linkage to business capabilities.
The smaller granularity of services can make it easier to create the personal
relationships between service developers and their users.
“You build, You run it” - Werner Vogels - CTO of Amazon
11. Smart endpoints and dumb pipes
Applications built from microservices aim to be as decoupled and as cohesive as
possible.
The two protocols used most commonly are HTTP request-response with
resource API's and lightweight messaging.
By using simple RESTish protocols rather than complex protocols
By using messaging over a lightweight message bus. The infrastructure chosen is typically dumb. simple
implementations such as RabbitMQ or ZeroMQ don't do much more than provide a reliable
asynchronous fabric
Be of the web, not behind the web
-- Ian Robinson
12. Decentralized Governance
One of the consequences of centralised governance is the tendency to standardise
on single technology platforms.
Experience shows that this approach is constricting - not every problem is a nail
and not every solution a hammer.
In this case microservices could be like this:
You want to use Node.js to standup a simple reports page? Go for it. C++ for a particularly gnarly near-
real-time component? Fine. You want to swap in a different flavour of database that better suits the read
behaviour of one component? We have the technology to rebuild him.
13. Decentralized Data Management ( 1 )
At the most abstract level, it means that the conceptual model of the world will
differ between systems.
This issue is common between applications, but can also occur within applications,
particular when that application is divided into separate components. A useful way
of thinking about this is the Domain-Driven Design notion of Bounded Context.
As well as decentralizing decisions about conceptual models, microservices also
decentralize data storage decisions.
15. Infrastructure Automation
Teams building software this way make extensive use of infrastructure automation
techniques.
as much confidence as possible that our software is working, so we run lots of
automated tests. Promotion of working software 'up' the pipeline means we
automate deployment to each new environment.
16. Design for failure
Any service call could fail due to unavailability of the supplier, the client has to
respond to this as gracefully as possible.
Since services can fail at any time, it's important to be able to detect the failures
quickly and, if possible, automatically restore service.
That’s why, microservices have a lot of monitoring process, real-time monitoring,
business relevant metrics, log and so on.
17. Evolutionary Design
Evolutionary Design is see service decomposition as a further tool to enable
application developers to control changes in their application without slowing down
change.
Whenever you try to break a software system into components, you're faced with
the decision of how to divide up the pieces. what are the principles?
The key property of a component is the notion of independent replacement and
upgradeability.
19. The Pattern
Monolithic Architecture
Microservices Architecture
API Gateway
Client-side discovery
Server-side discovery
Service Registry
Self Registration
3rd party Registration
Multiple service instance per host
Single service instance per host
Service instance per VM
Service instance per Container
Database per service
20. Monolithic Architecture (1)
● Simple to develop
● Simple to deploy
● Simple to scale
However:
The large monolithic code base intimidates developers, especially ones who are new to the team. The
application can be difficult to understand and modify. As a result, development typically slows down.
Overloaded IDE
Overloaded web container
21. Monolithic Architecture (2)
However:
Continuous deployment is difficult - a large monolithic application is also an obstacle to frequent
deployments.
Scaling the application can be difficult - a monolithic architecture is that it can only scale in one
dimension.
Obstacle to scaling development - A monolithic application is also an obstacle to scaling development.
Requires a long-term commitment to a technology stack - a monolithic architecture forces you to be
married to the technology stack (and in some cases, to a particular version of that technology) you
chose at the start of development .
22. Microservices Architecture (1)
● Each microservice is relatively small
○ Easier for a developer to understand
○ The IDE is faster making developers more productive
○ The web container starts faster, which makes developers more productive, and speeds up
deployments
● Each service can be deployed independently of other services
● Easier to scale development. It enables you to organize the development effort around multiple
teams. Each (two pizza) team is responsible a single service.
● Improved fault isolation. For example, if there is a memory leak in one service then only that service
will be affected.
● Eliminates any long-term commitment to a technology stack
23. Microservices Architecture (2)
Another challenge is deciding how to partition the system into microservices. This
is very much an art, but there are a number of strategies that can help.
Partition services by verb or use case.
Partition the system by nouns or resources.
25. API Gateway
Implement an API gateway that is the
single entry point for all clients. The API
gateway handles requests in one of two
ways.
The API Gateway must use either the
Client-side Discovery pattern or Server-
side Discovery Pattern to route requests
to available service instances.
26. Client-side Discovery (1)
Services typically need to call one another.
In a traditional distributed system deployment, services run at fixed, well known
locations (hosts and ports) and so can easily call one another using
HTTP/REST.
a modern microservice-based application typically runs in a virtualized or
containerized environments where the number of instances of a service and their
locations changes dynamically.
27. Client-side Discovery (2)
The Benefit is fewer moving parts
and network hops compared to
Server-side registry.
This pattern couples the client to
service registry.
28. Server-side Discovery
When making a request to a service,
the client makes a request via a router
(a.k.a load balancer) that runs at a well
known location. The router queries a
service registry.
More network hops are required
than when using Client-side
discovery
AWS provide this functionality, e.g.
AWS Elastic Load Balancer
29. Service Registry (1)
a database of services, their instances and their locations.
Service instances are registered with the service registry on startup and
deregistered on shutdown.
Examples of service registries (or technologies that are commonly used as service
registries) include:
Eureka
Apache Zookeeper
Consul
Etcd
30. Service Registry (2)
The Service Registry is a critical system component. Although clients should cache
data provided by the service registry, if the service registry fails that data will
eventually become out of date. Consequently, the service registry must be highly
available.
You need to decide how service instances are registered with the service registry. There are two options:
● Self registration pattern - service instances register themselves
● 3rd party registration pattern - a 3rd party register the service instances with the service registry
Note: Service registry instances must be deployed on fixed and well known IP addresses
31. Self Registration
A service instance is responsible for registering itself with the service registry.
On startup the service instance registers itself (host and IP address) with the service
registry and makes itself available for discovery.
Drawbacks:
You must implement service registration logic in each programming language/framework that you use to
write your services
A service instance that is running yet unable to handle requests will often lack the self-awareness to
unregister itself from the service registry
32. 3rd Party Registration
A 3rd party registrar is responsible for registering and unregistering a service
instance with the service registry.
Examples: Netflix Prana, AWS Autoscaling Groups, Joyent's Container buddy,
Registrator, Clustering frameworks such as Kubernetes and Marathon (un)register
service instances with the built-in/implicit registry.
Drawback:
Unless the registar is part of the infrastructure it’s another component that must be
installed, configured and maintained. Also, since it’s a critical system component it
needs to be highly available.
33. Multiple Services per host
Run multiple instance of services on a host (Physical or Virtual machine).
There are various ways of deploying a service instance on a shared host including:
Deploy each service instance as a JVM process. For example, a Tomcat or Jetty
instances per service instance.
Deploy multiple service instances in the same JVM. For example, as web
applications or OSGI bundles.
Drawbacks:
Risk of conflicting resource requirements / dependency versions
Difficult to limit the resources consumed by a service instance
Difficult to monitor process
34. Single Service per host
Deploy each single service instance on it’s own host.
The benefits of this approach include:
Services instances are isolated from one another
There is no possibility of conflicting resource requirements or dependency
versions
A service instance can only consume at most the resources of a single host
Its straightforward to monitor, manage, and redeploy each service instance
Drawbacks:
Potentially less efficient resource utilization
35. Database per service (1)
Keep each microservice’s persistent data private to that service and accessible only
via its API. The following of example:
36. Database per service (2)
if you are using a relational database then the options are:
Private-tables-per-service – each service owns a set of tables that must only be
accessed by that service
Schema-per-service – each service has a database schema that’s private to that
service
Database-server-per-service – each service has it’s own database server.
38. The Scale Cube
X-axis scaling consists of running
multiple copies of an application
behind a load balancer.
Y-axis axis scaling splits the
application into multiple, different
services.
Z-axis splits are commonly used to
scale databases. Data is partitioned
(a.k.a. sharded) across a set of servers
based on an attribute of each record.
39. CAP Theorem(1)
Consistency (C), Availability (A), and Partition tolerance (P) across distributed
systems.
Simply put, the CAP theorem demonstrates that any distributed system cannot guaranty C, A,
and P simultaneously, rather, trade-offs must be made at a point-in-time to achieve the level
of performance and availability required for a specific task.
A common inspiration for this is Amazon's notion of "you build, you run it" where a development team takes full responsibility for the software in production.
Netflix's Simian Army induces failures of services and even datacenters during the working day to test both the application's resilience and monitoring.
The Guardian website is a good example of an application that was designed and built as a monolith, but has been evolving in a microservice direction. The monolith still is the core of the website, but they prefer to add new features by building microservices that use the monolith's API. This approach is particularly handy for features that are inherently temporary, such as specialized pages to handle a sporting event. Such a part of the website can quickly be put together using rapid development languages, and removed once the event is over. We've seen similar approaches at a financial institution where new services are added for a market opportunity and discarded after a few months or even weeks.