Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers. It's also a cultural change that requires organizations to continually challenge the status quo, experiment, and get comfortable with failure.
It is essential that you integrate digital technology into all areas of business so that your business can be agile and adapts to changing circumstances. Microservices architecture gives you the agility required to build a digital business, while APIs are the enablers for turning a conventional business into a digital business. In this webinar, we will discuss how an enterprise can adopt an API-first approach for building a digital business leveraging microservices architecture.
We will explain and show the business benefits of:
- An API-first approach for building a digital business
- How microservices enables business agility
- Building and integrating your microservices
- Modernization of your legacy applications
- How to leverage the WSO2 API integration platform to build a digital business.
Watch the webinar on-demand here - https://wso2.com/library/webinars/api-first-integration-for-microservices/
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 dig 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 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.
Transforming Financial Services with Event Streaming Dataconfluent
The document discusses how event streaming can transform financial services by providing real-time and scalable data. It describes how banks have become software-driven and the challenges of legacy infrastructure. The document then provides an overview of how Confluent event streaming works and its benefits. Finally, it discusses some key use cases for financial services including improving customer experiences, unlocking value from mainframes and core systems, payments, open banking, security and fraud, and regulatory compliance.
WSO2Con EU 2015: Reference Architecture for EDAWSO2
WSO2Con EU 2015: Reference Architecture for EDA
With 100 billion API calls per minute in the cloud, event-driven architecture is more relevant today than when John started it back in the 1980s at TIBCO. This session will focus on the history of event-driven architecture and the new event-driven architecture that some are calling the 3.0 platform.
It will also talk about the suite of core EDA components that work with and are augmented by cloud, mobile, social, big data, and API management. Some sample case study architectures will be presented for cloud as well as an IOT service.
Presenter:
John Mathon
Vice President – Enterprise Evangelism,
WSO2
As the financial services industry goes through fundamental transition, we see digitalization as becoming a critical success factor. This talk will cover trends around how cloud and web services can enable you to transform your operating platforms to provide your customers and partners with better experiences.
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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.
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This document discusses using serverless stream processing for financial services applications. It introduces Confluent and Apache Kafka for building event streaming applications. It describes using ksqlDB and AWS Lambda for serverless stream processing. Best practices are provided when using AWS Lambda as a stateless stream processor. Examples of financial use cases are given such as fraud detection, payments, and risk analytics. The benefits of scaling automatically and paying only for consumption are highlighted.
The document discusses how e-business process automation can help companies adapt to changing business needs and customer demands in today's digital world. It describes how IBM MQSeries Workflow provides:
1) Flexible, scalable, and adaptive end-to-end business process solutions that are not tied to specific applications and can be updated easily as business needs change.
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There is not much of complexity in terms of processes and communications between services in a Monolithic Application that deal with a single relational database. Most of the relational database use ACID transaction to process each request from the client.
This document contains a summary of a presentation given by David M. Walker on migrating from monolithic architectures to microservices. It discusses the benefits of microservices including improved productivity, cost reduction, risk management, analytics and product differentiation. It outlines challenges in migrating existing systems and proposes a staged approach starting with new services and gradually extracting functionality from the monolith. The role of event streaming, data governance, agile development, automation, data science and AI are also covered.
Inventia technology consultants is a IT leading consulting Firm in India that provides software development, digital transformation, it staffing, and other it services to businesses of all sizes.
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Discover how to build a highly productive, unified integration framework for microservices that creates a seamless app network with API-led connectivity.
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14. Microservices
Enablement
How to manage transactions across
Microservices?
BEGIN TRAN T1;
UPDATE ORDERS...;
UPDATE STOCK...;
SELECT * FROM CUSTOMERS;
UPDATE ACCOUNTS...;
COMMIT TRAN T1;
New Order
Order
Database
Stock
Database
Customer
Database
16. Microservices
Enablement
How to build consolidated report in Microservices
architecture?
SELECT
o.total as TotalOrder,
c.NAME as CustomerName,
s.ITEM_NAME as ItemName
FROM ORDERS o
JOIN STOCK s
ON s.ITEM_ID = o.ITEM_ID
JOIN CUSTOMERS c
ON c.id = o.CUSTOMER_ID
WHERE ....
Report
Order
Database
Stock
Database
Customer
Database
19. Microservices
Enablement
What is Event-driven Architecture?
“Event-driven architecture is a software architecture and model for application
design.
With an event-driven system, the capture, communication, processing, and
persistence of events are the core structure of the solution. This differs from a
traditional request-driven model.”
20. Microservices
Enablement
What is Events?
• Publisher and Consumer subscription
• Events are changes in the application state
• Events in the past
• Events cannot be changed
• Events either async or sync
22. Microservices
Enablement
What is Event-Sourcing?
“Event Sourcing ensures that all changes to application state are stored as a sequence
of events. Not just can we query these events, we can also use the event log to
reconstruct past states.” Martin Fowler
26. Microservices
Enablement
What is Saga?
A saga is a sequence of local transactions.
Each local transaction updates the database and publishes a message or event to
trigger the next local transaction in the saga.
If a local transaction fails because it violates a business rule, then the saga executes a
series of compensating transactions that undo the changes that were made by the
preceding local transactions
27. Microservices
Enablement
CoffeeShop Application with Saga
Order ServiceOrder
Database
Event Store
Customer Service Customer
Database
Stock ServiceStock
Database
ID CUST_ID TOTAL PENDING
100 1000 200 1
ID CUST_ID ORD_ID RESERVED
100 1000 100 1
AMOUNT
200
ID ITEM_ID ORD_ID ON_HOLD
100 10 100 1
28. Microservices
Enablement
CoffeeShop Application with Saga
Order ServiceOrder
Database
Event Store
Customer Service Customer
Database
Stock ServiceStock
Database
ID CUST_ID TOTAL PENDING
100 1000 200 0
ID CUST_ID ORD_ID RESERVED
100 1000 100 0
AMOUNT
200
ID ITEM_ID ORD_ID ON_HOLD
100 10 100 0
30. Microservices
Enablement
What is CQRS?
CQRS stands for Command Query Responsibility Segregation.
CQRS separates reads and writes into different models, using commands to update
data, and queries to read data.
31. Microservices
Enablement
CoffeeShop Application with CQRS
Order ServiceOrder
Database
Event Store
Customer Service Customer
Database
Stock ServiceStock
Database
Reporting Service
ElasticSearch/
NoSQL
Database
Notification Service Notification
Database
Login and then faild is two events
Order and CreditReserved then fails is OrderCread then CreditReserved then OrderFaild then CreditBack then OrderMarkedAsFaild
Order from AWS is not guarantee that this item is available after submit
Swing actionPerformed,mouseClicked, KeyPressed
Re-play all events to get application state
Complete Rebuild: We can discard the application state completely and rebuild it by re-running the events from the event log on an empty application.
Temporal Query: with a blank state and rerunning the events up to a particular time or event. We can take this further by considering multiple time-lines
Event Replay: If we find a past event was incorrect, we can compute the consequences by reversing, Production Issues replay on test server
start new service and collect events then get application state
One operation to be atomic transaction
One operation to be atomic transaction
Commands are void methods not returning anything
Query is the read side