[Webinar]: Working with Reactive Spring
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In this PPT, we will go through the new feature of Reactive Spring i.e how to work with Reactive Programming in Spring 5.0. These slides also cover: 1. Reactive Architecture and why we need it. 2. Advantages of writing reactive code. 3. How it works with Spring framework.
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SpringOne Platform 2017
Brendan Aye, T-Mobile
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Concepto de “new normal”: Arquitectura híbrida
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1) Break up monolithic applications into microservices for faster, safer development.
2) Invest in reskilling their workforce and realigning teams around customers rather than systems.
3) Automate bureaucracy and standardize reusable components to finish work through continuous delivery rather than gatekeeping.
4) Build security, compliance, and failure assumptions into their systems from the start rather than bolting them on later.
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Understand DevOps and it's fitment to various types of applications.
Understand various Organization Roles after Org-restructure.
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Ah, the mainframe. Peel back many transactional business applications at any enterprise and you’ll find a mainframe application under there. It’s often where the crown jewels of the business’ data and core transactions are processed. The tooling for these applications is dated and new code is infrequent, but moving off is seen as risky. No one. Wants. To. Touch. Mainframes.
But mainframe applications don’t have to be the electric third rail. Modernizing, even pieces of those mainframe workloads into modern frameworks on modern platforms, has huge payoffs. Developers can gain all the productivity benefits of modern tooling. Not to mention the scaling, security, and cost benefits.
So, how do you get started modernizing applications off a mainframe? Join Rohit Kelapure, Consulting Practice Lead at Pivotal, as he shares lessons from projects with enterprises to move workloads off of mainframes. You’ll learn:
● How to decide what to modernize first by looking at business requirements AND the existing codebase
● How to take a test-driven approach to minimize risks in decomposing the mainframe application
● What to use as a replacement or evolution of mainframe schedulers
● How to include COBOL and other mainframe developers in the process to retain institutional knowledge and defuse project detractors
● How to replatform mainframe applications to the cloud leveraging a spectrum of techniques
Presenter : Rohit Kelapure, Consulting Practice Lead, Pivotal
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Optimizing the Ops in DevOps
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How does the operations tool chest change? How does the required skill set differ? How are the interactions between operations and other IT and business organizations different from in the past? How can operations provide the confidence to the entire organization that this new pipeline is still delivering non-functional requirements such as regulatory compliance and a secure and certified operating environment? How does operations safely consume vendor and upstream dependencies while meeting developer desires for the latest and greatest?
Operations is more important than ever for a business to derive value from its IT organization. But the roles and the goals of operations are significantly different than they were historically.
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Cloud system configurations and their dependencies can quickly grow into the thousands of virtual machine, network and storage components. Once software is included, the number of components can easily rise into six figures.
Frequent releases using continuous integration and deployment tools makes a repository of these components and relationships absolutely critical to cloud system integrity and quality of service no matter what cloud management tools you use.
Systems configurations are more naturally represented using a graph database than the relational representations used by traditional IT management products.
Our talk will explore how we use Neo4J to create a live, active, self-updating repository service, containing nearly all virtual hardware, network and software components and their dependencies, enabling continuous deployment in any cloud environment at scale.
Computational Patterns of the Cloud
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Join Us to Explore DevOps on AWS with REAN Cloud
Learn how REAN Cloud helped AWS customer Ellucian develop a DevOps framework to transform their software delivery process for over 80 product lines. Attendees will gain an understanding of a real-world continuous integration/continuous delivery framework that leverages Packer, Jenkins, Vagrant, and Terraform, along with the DevOps Accelerator Platform by REAN Cloud.
REAN Cloud can implement a continuous integration and delivery pipeline on AWS and instill a DevOps culture for your dev teams. REAN provides a combination of DevOps and AWS expertise while also delivering managed services through CloudOps & SecOps.
Join us to learn:
• Select new AWS features
• Automating provisioning & configuration, auto-scaling
• Automated infra, security and functional tests
Who should attend:
CTOs, CIOs, Information Architects, Cloud Owners, Enterprise Architects, DevOps Managers, Senior Technical Managers in Engineering, Application Support Analysts, Infrastructure Analysts and System Administrators.
Speakers
Ekta Parashar, Solution Architect, Amazon Internet Services Pvt. Ltd
Gunanand Nagarkar, Sr. Director, REAN Cloud
Sanju Burkule, Sr. Director, REAN Cloud
Cloud Native IT Transformation - Whitepaper by RapidValue
High-performing organizations in the new digital economy are those who have unlocked the next level of cloud benefits in terms of agility, innovation and efficiency. The “cloud-native” mindset which includes re-engineering processes, workflows and re-organizing people, is becoming the new normal. In this whitepaper we will deep dive into the world of cloud-native applications, compare it with the traditional application development, describe the key elements of a cloud-native application and share the secret sauce to build cloud-native apps.
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[Webinar]: Working with Reactive Spring
- 1. Presented By: Ayush Prashar Software Consultant Knoldus Inc. LEARN NOW Reactive Spring
- 2. About Knoldus Knoldus is a technology consulting firm with focus on modernizing the digital systems at the pace your business demands. DevOps Functional. Reactive. Cloud Native
- 3. What’s in it for me? LEAN NOW
- 4. 1 2 3 4 5Can help you judge if your next project needs to be Reactive or not. Introductory idea about the Reactive Streams A basic understanding of Spring! Understanding the Reactive Principles Project Reactor What to expect after this Webinar
- 5. 01What is Spring? 02Why Spring 03Reactive 04Reactive Streams and Reactor 05Demo Our Agenda
- 6. “Spring framework is a Java application development framework used to provide comprehensive infrastructural support” What is Spring?
- 7. Dependency Injection01 Time Tested 02 Features organised in over 20 Modules04 Dependency Management03 Why Spring?
- 8. - Reactive Programming An asynchronous programming paradigm concerned with data streams and the propagation of change. And what is Reactive? - Reactive Systems Systems which satisfy certain constraints to remain responsive under any conditions
- 11. c How about a callback?
- 12. Callback Hell mApi.login(request, new Callback<LoginResponse>() { @Override public void success(LoginResponse s, Response response){ mApi.getRoutes(request, new Callback<RoutesResponse>(){ @Override public void success(RoutesResponses, Response response) { ... } @Override public void failure(RetrofitError error) {} } } @Override public void failure(RetrofitError error){} });
- 13. c Why Reactive? 1. Non Blocking. 2. Better utilization of computation cycles. 3. Higher throughput of serving requests. 4. Functional approach.
- 14. Reactive Spring
- 15. Reactive Streams ● Non-Blocking ● Backpressure ● Asynchronous
- 17. Producer Subscriber Subscription Methods subscribe(Subscriber s); onSubscribe(Subscription s); onNext(T t); onError(Throwable t); onComplete( ); request( long n); cancel( );
- 18. Project Reactor ● Implementation of the Reactive Streams Specification ● Has two major implementations of the Publisher Interface.
- 19. c Mono Flux - Stream of 0 . . 1 element - Reactive Optional - Stream of 0 . . N elements - When working with a list
- 20. DEMO
- 21. References ● https://projectreactor.io/ ● https://docs.spring.io/ ● https://stackoverflow.com/