Windows Azure Virtual Networks

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MSHOWTO Bilisim Toplulugu

Technology Business

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SQL
Reporting
Service
SQL
Analysis
Service
SQL
Service
Active Directory
Active Directory
SQL Service
Domain joined to On-
Premises Network
On-Premises Machine
Business Components
& Entities
On-Premises
Machine
UI Process
Components
Web Tier
Active Directory
Internet
Persistent VM
Role
SharePoint
FrontEnd
Persistent VM
Role
SharePoint
FrontEnd
Persistent VM
Role
Search and
Indes
SQL Service
Persistent VM
Role
DC DNS
Persistent VM
Role
Persistent VM
Role
SQL
Persistent VM
Role
SQL
Local DNS
SQLMirroring
Open User
Access (Website)

(10.0.0.0/16)
(10.2.0.0/16)
(10.1.0.0/16)
10.0.0.10
10.0.0.11
131.57.23.120
10.2.2.0/24 10.2.3.0/24
10.2.2.0/24 10.2.3.0/24
65.52.249.22 10.1.0.4 10.1.1.4

Internet
Persistent VM Role
SharePoint
FrontEnd
Persistent VM Role
SharePoint
FrontEnd
Persistent VM Role
Search and Indes
Persistent Desk
Persistent VM Role
DC DNS
Server Account
Persistent VM RoleSQL
Persistent VM Role
SQL
Local DNS
SQLMirroring
Windows Azure Virtual Network
Use Accounts
On
Premises
DC DNS
10.8.8.x
Domain Joined to On-
Premises Network

Persistent VM Role
Persistent VM Role
Persistent VM Role
Persistent VM Role
Business Components
& Entities
Business Components
& Entities
Persistent Disk
Persistent Disk
SQL
SQL
Web
Role
Web
Role

10.0.0.2010.0.0.21
131.57.23.45
IT Admin
Network
Admin
(10.1.0.0/16) 
(10.1.1.0/24)
(10.1.3.0/24)
(10.1.2.0/24)
(10.1.4.0/24)
SQLSubnet
(10.1.3.0/24)
GW IP
65.57.23.45
CorpOffice
Network
configuration
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package
(10.0.0.0/16)

https://www.facebook.com/deger.onder
tr.linkedin.com/in/onderdeger
onder.deger@hotmail.com
@KnightOfRising
onder.deger@bilgeadam.com
b-onderd@microsoft.com
http://www.systemcenterturkey.org/

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This session will begin with a short recap of how we created systems over the past 20 years, up to the current idea of building systems, using a Microservices architecture. What is a Microservices architecture and how does it differ from a Service-Oriented Architecture? Should you use traditional REST APIs to integrate services with each each other in a Microservices Architecture? Or is it better to use a more loosely-coupled protocol? Answers to these and many other questions are provided. The talk will show how a distributed log (event hub) can help 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 shows the difference between a request-driven and event-driven communication and answers when to use which. It highlights how a modern stream processing system 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.

Building event-driven Microservices with Kafka Ecosystem

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Should we use traditional REST APIs to bind services together? Or is it better to use a more loosely-coupled protocol? This talk will dive into 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 an asynchronous, loosely-coupled event-driven backbone. Events trigger processing logic, which can be implemented in a 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.

Building Event-Driven (Micro)Services with Apache Kafka

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Event sourcing persists each entity as a sequence of state changing event. An entity’s current state is derived by replaying the events. Event sourcing is a great way to implement event-driven micro services. When one service updates an entity, the new events are consumed by other services, which then update their own state. In this talk we describe how to implement business logic using a domain model that is based on event sourcing. You will learn how to write functional, immutable domain models in Scala. We will compare and contrast a hybrid OO/FP design with a purely functional approach. You will learn how Domain Driven Design concepts such as bounded contexts and aggregates fit in with event-driven microservices.

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Modern, cloud-native applications typically use a microservices architecture in conjunction with NoSQL and/or sharded relational databases. However, in order to successfully use this approach you need to solve some distributed data management problems including how to maintain consistency between multiple databases without using 2PC. In this talk you will learn more about these issues and how to solve them by using an event-driven architecture. We will describe how event sourcing and Command Query Responsibility Separation (CQRS) are a great way to realize an event-driven architecture. You will learn about a simple yet powerful approach for building, modern, scalable applications.

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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.

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The microservice architecture functionally decomposes an application into a set of services. Each service has its own private database that’s only accessible indirectly through the services API. Consequently, implementing queries and transactions that span multiple services is challenging. In this presentation, you will learn how to solve these distributed data management challenges using asynchronous messaging. Chris will share with you how to implement transactions using sagas, which are sequences of local transactions. You will learn how to coordinate sagas using either events or command messages. Chris will also explore how to implement queries using Command Query Responsibility Segregation (CQRS), which uses events to maintain easily queried replicas.

Mucon: Not Just Events: Developing Asynchronous Microservices

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This is the talk I gave at JFokus 2016 on event-driven microservices. This presentation looks at the importance of events and the role that they play in applications. We describe how events are a key application integration mechanism and how they are used by applications to communicate with the outside world. You will learn how the microservices inside a system can use events to maintain data consistency. We discuss how easy it is to implement both of these mechanisms by developing your core business logic using an event-centric approach known as event sourcing.

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[Hands-on] CQRS(Command Query Responsibility Segregation) 와 Event Sourcing 패턴 실습

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Apps for SharePoint were introduced in SharePoint 2013 to maximize the level of capability and flexibility that developers can deliver without risking compromise to the farm. In this session, we will delve into apps that leverage resources running outside the SharePoint farm—whether in another on-premises web server or in the cloud. We will use server-side and client-side code to demonstrate how cloud-hosted apps can securely access data stored in SharePoint using the client object model (CSOM/JSOM) and REST APIs, along with the pros and cons associated with each approach. We will discuss the various permissions models associated with apps for SharePoint including types of app permissions, permission request scopes, and how app developers can manage permissions. We will conclude by building and provisioning a provider-hosted app for SharePoint to Office 365.

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Most will agree that a business process can be a workflow. But, what do people think of when running workflows in the Cloud and in particular Azure or Microsoft Cloud. Because, Microsoft Azure and Cloud offer us several options to build them: No-code/low-code, and a code option with Power Automate, Logic Apps, and Durable Functions? In this session, we'll explore each and focus on building workflows with them. Furthermore, we'll see the differences and how each could potentially, complement the other.

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In this talk we share our experiences developing and deploying a microservices-based application. You will learn about the distributed data management challenges that arise in a microservices architecture. We will describe how we solved them using event sourcing to reliably publish events that drive eventually consistent workflows and pdate CQRS-based views. You will also learn how we build and deploy the application using a Jenkins-based deployment pipeline that creates Docker images that run on Amazon EC2.

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Microservices in Java and Scala (sfscala)

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This presentation looks at the importance of events and the role that they play in software applications. We describe how events are a key application integration mechanism and how they are used by applications to communicate with the outside world. You will learn how the microservices inside a system can use events to maintain data consistency. We discuss how easy it is to implement both these mechanisms by developing your core business logic using an event-centric approach.

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Building event-driven Microservices with Kafka Ecosystem

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Developing Event-driven Microservices with Event Sourcing & CQRS (gotoams)

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Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

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With more memory available, system performance of three Dell devices increased, which can translate to a better user experience Conclusion When your system has plenty of RAM to meet your needs, you can efficiently access the applications and data you need to finish projects and to-do lists without sacrificing time and focus. Our test results show that with more memory available, three Dell PCs delivered better performance and took less time to complete the Procyon Office Productivity benchmark. These advantages translate to users being able to complete workflows more quickly and multitask more easily. Whether you need the mobility of the Latitude 5440, the creative capabilities of the Precision 3470, or the high performance of the OptiPlex Tower Plus 7010, configuring your system with more RAM can help keep processes running smoothly, enabling you to do more without compromising performance.

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Windows Azure Virtual Networks

2. https://msevents.microsoft.com/CUI/EventDetail.asp x?EventID=1032550071&culture=tr-tr

3. https://msevents.microsoft.com/CUI/EventDetail.asp x?EventID=1032550073&culture=tr-tr

4. https://msevents.microsoft.com/CUI/EventDetail.asp x?EventID=1032550044&culture=tr-tr

5. https://msevents.microsoft.com/CUI/EventDetail.asp x?EventID=1032550047&culture=tr-tr

6. https://msevents.microsoft.com/CUI/EventDetail.asp x?EventID=1032550049&culture=tr-tr

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20.

21. Hybrid Public/Private Cloud

22.

23.

24. Internet Persistent VM Role SharePoint FrontEnd Persistent VM Role SharePoint FrontEnd Persistent VM Role Search and Indes Persistent Desk Persistent VM Role DC DNS Server Account Persistent VM RoleSQL Persistent VM Role SQL Local DNS SQLMirroring Windows Azure Virtual Network Use Accounts On Premises DC DNS 10.8.8.x Domain Joined to On- Premises Network

25. Persistent VM Role Persistent VM Role Persistent VM Role Persistent VM Role Business Components & Entities Business Components & Entities Persistent Disk Persistent Disk SQL SQL Web Role Web Role

26.

27. 10.0.0.2010.0.0.21 131.57.23.45 IT Admin Network Admin (10.1.0.0/16)  (10.1.1.0/24) (10.1.3.0/24) (10.1.2.0/24) (10.1.4.0/24) SQLSubnet (10.1.3.0/24) GW IP 65.57.23.45 CorpOffice Network configuration Deployment package (10.0.0.0/16)

28.

29.

30. • IKE v1 • AES 128, 256 • SHA1, SHA2

31.

32.

33.

34. https://www.facebook.com/deger.onder tr.linkedin.com/in/onderdeger onder.deger@hotmail.com @KnightOfRising onder.deger@bilgeadam.com b-onderd@microsoft.com http://www.systemcenterturkey.org/

Editor's Notes

Slide Objective:Explain entry points
Slide Objective:Show currently supported VPN devicesList above is just what we go to preview with. List will grow with time. Partners tested device against our solution.Any industry standard VPN will work.
Slide Objective:Preview limits
Slide Objective:Preview limits
Slide Objective:Compare and contrast existing networking with VNETs in Windows Azure

Windows Azure Virtual Networks

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Editor's Notes